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Applications Approved for Access to WTCCC Datasets

2011 | 2010 | 2009 | 2008 | 2007

2011

Hyeji Yu, Gwan-su Yi.

KAIST, South Korea

Biological Mechanism Inspired Multilevel Screening Method for Identification of Disease-associated combination of SNPs

Simon Rees, M Ann Kelly.

University of Birmingham, UK

Exploring the genetic link between type 2 diabetes and prostate cancer.

Fumihiko Takeuchi.

National Institute of Infectious Diseases, Japan

Meta-analysis of genome-wide association studies for tuberculosis and leprosy

Kristin Nicodemus.

University of Oxford, UK

Elucidation of genetic architecture underlying Parkinson's disease

Alexandra Gillett, Susan Wilson, Sally Galbraith.

University of New South Wales, Australia

Common-disease, common-variation: feature selection and classification using SNPs.

Mehran Aflakparast, Abbas Gerami, Ahmad Parsian, Ali Masoudi-nejad.

University of Tehran, Iran

Bayesian methods for scoring gene-gene interactions.

Andrea Ganna, Erik Ingelsson.

Karolinska Institutet, Sweden

Evaluating the clinical utility of a genetic-based risk score for coronary heart disease: literature-based and literature-free approach.

Angela Cox, Wei-Yu Lin, Kevin Walters, Nicola J Camp, Fergus Couch.

University of Sheffield, UK

Inherited variation of the DNA damage response and apoptosis pathways in cancer risk.

Erika Cule, Maria De Lorio.

Imperial College London, UK

Bayesian variable selection and prediction using penalized regression for high-dimensional data.

Wu-Chun Cao.

Beijing Institute of Microbiology and Epidemiology, China.

A genome-wide association study (GWAS) of pulmonary tuberculosis in Chinese populations

Eyal Ben-David, Sagiv Shifman.

Hebrew University of Jerusalem Israel, Israel

Description of a gene expression network in the brain and its association with specific diseases

Graham Coop.

University of California, Davis, USA

Relatedness in samples from the UK

Marta Alarcón, David López Herràez.

Centro de Genómica e Investigación (GENYO), Spain

Arthritis Research UK Strategic Award - Genome-wide association in SLE in European Populations

Sven Cichon, Thomas Mühleisen, Manuel Mattheisen, Markus Nöthen.

University if Bonn, Germany

Genome-wide association studies and follow-up of bipolar disorder and related psychiatric phenotypes

Dorret Boomsma, CM Middeldorp, MHM de Moor, EJC de Geus, JJ Hottenga.

VU University Amsterdam, The Netherlands

Use of genotype data to construct polygenetic scores First project: The genetic association between personality traits and major depression or bipolar disorder. A polygenic score analysis using pooled genome wide association data

Yan-Hui Fan, You-Qiang Song.

The University of Hong Kong, Hong Kong

Risk Prediction for Common Diseases Using Genetic Markers from Genome-Wide Association Studies

Nikola Kasabov, Raphael Hu.

Knowledge Engineering & Discovery Research Institute, Auckland University of Technology, New Zealand

Personalised Modelling for Biomedical Data Analysis and Applications

Stephanie Maiwald, Mieke D. Trip, Willem H. Ouwehand.

Academical Medical Center, Amsterdam, The Netherlands

For a workshop entitled: genetic statistics; basic and advanced statistics will be studied. Therefore the analysis of GWAS data, genetic variants of proteins and the environmental influence will be analyzed

Su Zheng, Liu Xiao.

BGI-Shenzhen, China

Prediction of individual genetic risk of complex diseases based on polymorphisms from GWAS

Mingkui Tan, Yiteng Zhai, Ivor Tsang.

Nanyang Technological University, Singapore

High-throughput SNP detection using Machine Learning Algorithm

Fuquan Zhang.

Peking University, China

Association analyses of miRNA-related SNPs with diseases. Natural selection analyses of SNPs within and across populations.

Minghui Wang.

University of Science and Technology of China, China

Random forest-based methods for detecting significant single-nucleotide polymorphisms and pathways in genome-wide association studies

Degui Zhi, Guodong Wu, Vinodh Srinivasasainagendra.

University of Alabama at Birmingham, USA

Pathway analysis of GWAS data

John Field, Olaide Y. Raji, Russell Hyde, Souza Nicosha.

The University of Liverpool Cancer Research Centre, UK

Identification and evaluation of lung cancer susceptibility loci, gene-gene and gene-environment interactions, and pathways for risk prediction in early detection intervention study

Yee Whye The, Charles Blundell, Lloyd Elliott, Vinayak Rao.

University College London, UK

Modelling Linkage Disequilibrium with Fragmentation-Coagulation Processes

Zhongxue Chen.

The University of Texas Health Science Center at Houston, USA

Estimation of the effective number in GWA studies

Haiyan Wang, Ming-shun Chen, Zheming Yuan, Hongyan Zhang, Gang Qian.

Kansas State University, USA

Informative genes/SNPs selection and network analysis based on gene expression profiles for complex diseases

Maxim Artyomov, Aviv Regev.

The Broad Institute, USA

Functional network of autoimmunity-associated genes in innate immune response.

Meng Lu, Xiaoning Qian.

University of South Florida, USA

Fast SNP analysis in genome wide association studies

Antonio González-Pérez, Luis Miguel Real, Agustin Ruiz, Javier Gayán.

Neocodex SL, Spain

Genome wide epistasis analysis in Cancer

Xiao-Li Tan.

Peking University, China

Genetic analysis of ischemic heart diseases

Xin He, Dr. Hao Li.

University of California, San Francisco, USA

Finding signatures of candidate genes in genome-wide association studies: application of expression QTL

Benjamin Schmid, Andre Franke.

Universitaetsklinikum Schleswig Holstein, Germany

Identifiaction of a shared genetic susceptibility loci for sarcoidosis and tuberculosis

Andrew Paterson, York Pei.

University of Toronto, Canada

Genome-wide association study (GWAS) of IgA nephropathy (IgAN)

Kenneth Baillie, David Hume, Chris Haley, Tom Freeman.

The Roslin Institute, University of Edinburgh, UK

1. Case-control study of genetic determinants of susceptibility to severe swine flu. 2. Application of a novel integrative pathway delineation algorithm to improve the statistical power of genome-wide association studies.

Nicola Camp, Alun Thomas, Lisa Cannon-Albright, Karen Curtin, Craig Teerlink, Kristy Allen-Brady, Stacey Knight, Alex Bigelow, Haley Abel, Jathine Wong, Jim Farnham, Steven Backus.

University of Utah, USA

Establishing controls for genetic studies of common, complex diseases

Paul Eggleton, Nick Gutowski, Marek Michalak, Tim Frayling.

University of Exeter, UK

Role of protein chaperones in regulating myelin in multiple sclerosis

Tingwei Guo, Bernice E. Morrow.

Albert Einstein College of Medicine, USA

Genetic risk to 22q11.2 chromosome rearrangements

Christopher Hallsworth.

University of California, Berkeley, USA

Assessing evience for coevolution in the ZP3 gene

Jemma Hopewell, Sarah Parish, Robert Clarke, Rory Collins.

Clinical Trial Service Unit, Univerisity of Oxfiord, UK

Genome Wide Association of Vascular Disease in the Heart Protection Study

Jonathan Keith, Sarah Boyd, Christian Davey.

Monash University, Australia

Statistical Methods for Discovering RNAs Contributing to Human Diseases and Phenotypes

Richard A Kerber, Elizabeth O'Brien.

University of Louisville, USA

Individualize Medicine through Grouped Phenotypes

Yohei Kirino, Michael J. Ombrello, Elaine F. Remmers.

National Human Genome Research Institute, USA

Copy number variation analysis in inflammatory diseases

Samantha Knight, Jenny Taylor, Jean-Baptiste Cazier, Catherine Cosgrove.

Wellcome Trust Centre for Human Genetics, UK

Copy Number Variation in Congenital Heart Disease Patients

Sang-seob Leem, Hyun-hwan Jeong, Kyubum Wee.

Ajou University, S. Korea

Development of efficient algorithms for detecting epistasis in genome-wide association studies

Shuyu Dan Li, Jian Wang, Jason Ting, Thompson Doman, John Raymond, Jiangang Liu.

Lilly Research Laboratories, Eli Lilly & Company, USA

Analysis of copy number variation in cancer using SNP array data

Wilson Liao.

University of California, San Francisco, USA

Quantifying Genetic Similarity Between Inflammatory and Autoimmune Diseases Using Genome-Wide SNP Data

Magnus Nordborg, Quan Long, Qingrun Zhang, Arthur Korte, Vincent Segura, Bjarni J. Vilhjalmsson.

Gregor Mendel Institute for Molecular Plant Biology, Austria

Methodology development for multiple-gene genome-wide association studies

Hervé Perdry, Françoise Clerget, Sébastien Revois.

Université ParisSud and Inserm, France

Impact of statistical model choice on association analysis and risk estimates

Jiawei Shen, Lishan Wang, Xiaohan Hu, Yongyong Shi.

Bio-X Center and Affiliated Changing Mental Health Center, China

Genome-wide SNP-SNP interaction in type 2 diabetes

Visweswaran Shyam, Nara Um.

University of Pittsburgh, USA

Disease prediction and discovery of interacting genetic loci from genome-wide data

Stan Skafidas, Ian Everall, Chris Pantellis, Renee Testa, Daniela Zantomio, Gursh Chana.

The University of Melbourne, Australia

Genetic Based Predictors of Clinical Symptoms of Individuals with Autism

Michael Steinbach, Gang Fang.

University of Minnesota, USA

Data Mining for Connecting Genomic Data and Disease

Thierry Voet, Peter Van Loo, Peter Campbell, Michael R Stratton.

Wellcome Trust Sanger Institute, UK

Characterization of the genetic heterogeneity resulting from inherited or acquired numerical or structural chromosome anomalies in the WTCCC data set.

Pei Wang, Amanda G. Paulovich, Xianlong Wang, Chenwei Lin.

Fred Hutchinson Cancer Research Center, USA

Cross-species network approach to predict epistatic cancer susceptibility genes (NCI)

Michael Wittig, David Ellinghaus, Andre Franke.

Christian-Albrechts-University Kiel, Germany

A joint genome-wide association analysis of chronic inflammatory diseases and rare CNV screening for IBD susceptibility loci.

Zhiwu Zhang.

Cornell University, USA

An Accurate and Fast Method of Genomic Prediction

Jing Zhang.

Yale University, USA

Bayesian Inference of Genome-scale Genetic Interaction Association Mapping

Xin He.

University of California at San Francisco, USA

Utilizing gene expression QTL data to improve genome-wide association studies

Cornelis Albers, Willem Ouwehand.

University of Cambridge, UK

Exome resequencing of rare blood group, inherited high-penetrance platelet and cardiovascular disease phenotypes

Angel Carracedo, Clara Ruiz-Ponte.

Foundation of Genomic Medicine, Spain

Genome wide association study for the identification of SNPs and common structural variants (CNVs) related to colorectal cancer

Judy H Cho.

Yale School of Medicine, USA

ImmunoChip analysis and clustering

Vicente Diego Ortega Del Vecchyo, Kenneth Lange, Janet Sinsheimer.

University of California, Los Angeles, USA

Incorporation of Information from Point Mutations Disease Potential in Analysis of Penalyzed Regression for Model Selection in Genome Wide Association Studies

Hae-Seok Eo, Hyung-Seok Choi, Jee Yeon Heo, Youngdon Hwang, Jinho Sohn.

LGE Advanced Research Institute, S. Korea

Development of a machine learning based method for the diagnosis of type 2 diabetes and obesity

Patricia Francis-Lyon, Yiming Zhang, Jia Feng.

University of San Francisco, USA

Comparison of multifactor dimensionality reduction with a novel method utilizing a support vector machine to reveal gene interactions for cancer susceptibility

Lucie Gattepaille, Mattias Jakobsson.

Uppsala University, Sweden

Developing a new statistical method for multi-loci disease association mapping in humans

David Golan, Saharon Rosset.

Tel Aviv University, Israel

Heritability estimation using mixed model analysis of genotyped data

Sorin Istrail, Derek Aguiar, Ryan Tarpine.

Brown University, USA

The Clark Phase-able Sample Size Problem: Long-range Phasing, Loss of Heterozygosity in GWAS and Multi-Assembly of Cases and Controls and their Genome-wide Comparison

Jonathan Knights, Murali Ramanathan, Nathaniel Byrnes.

State University of New York, USA

Identifying and modelling gene-gene and gene-environment interactions using information theoretic metrics

Po-Hsiu Kuo, Chung-Feng Kao, Li-Chung Chuang, Chin-Hao Chang.

National Taiwan University, Taiwan

Construction of Genetic Risk Profile for Bipolar Disorders

Michael Mooney, Shannon McWeeney.

Oregon Health & Science University, USA

Discovery of Multi-locus Associations: An Integrated Approach

Grant Morahan, Munish Mehta, Ramesh Ram, Cao Nguyen.

University of Western Australia, Australia

Developing new analytical methods for epistatic interactions in complex genetic diseases

Carlos Pinto, Michael Bridges, Gary Coady.

University College Dublin, Ireland

Can the WTCCC control groups be distinguished using supervised learning techniques?

Mark Seielstad.

University of California San Francisco, USA

Genetics of Brazilian Populations

Sima Soltani, H. Ahmadi Torshizi, J. Sadri.

Islamic Azad University, Iran

Clustering on Diabetes Type 2 Markers and Gene Mapping Using a Hidden Markov Model Combined with Mutual Information

Catherine Stein, Feiyou Qiu.

Case Western Reserve University, USA

Replication of tuberculosis association findings in WTCCC cohort

Stacy Steinberg, Hreinn Stefansson.

deCODE Genetics, Iceland

Genome-wide Association Study of Schizophrenia and Bipolar Disorder

E Van Den Akker, Marcel Reinders.

Delft University of Technology, The Netherlands

A Network Centric Approach for Interpreting GWAS Data

Minzhu Xie, Tao Jiang.

University of California, USA

Multi-point And multi-locus analysis of genomic association data

Ting Yan, Hong Zhang, Yaning Yang, Jinfeng Xu.

University of Science and Technology of China, China

Improved power for testing two-locus interaction by using weighted method

Mark Reimers.

Virginia Institute for Psychiatric and Behavioural Genetics, USA

Estimating the distribution of effect sizes for variants of small effect

2010

Graham Ball.

Nottingham Trent University, UK

Data mining and systems modelling for hypertension

Marina Bessarabova (Tsyganova), Tatiana Nikolskaya, Zufar Mulyukov, Tatiana Mikhaylova, Elena Lukianova, Felix Frenkel.

Vavilov Institute of General Genetics, Russian Academy of Sciences, Russia

Integrative pathway based GWAS and gene expression data analysis for multiple human diseases

Karsten Borgwardt, Bertram Muller-Mhysok.

Max Planck Institute for Developmental Biology and Max Planck Institute for Biological Cybernetics, Germany

Kernel machine learning approaches to epistasis detection in case-control studies

Zheng Cai, Alun Thomas.

University of Utah, USA

Identifying disease variants using high-risk pedigree data and case-control data

Claudio Cobelli, Toffolo Gianna, Barbara Di Camillo, Francesco Sambo.

University of Padova, Italy

Advanced Machine Learning Techniques for Genotypic Data Analysis

Jeanine J Houwing-Duistermaat.

Leiden University Medical Center, The Netherlands

Combined linkage and association study for healthy ageing in the GeHA Study: Genetics of Healthy Ageing

Shi Huang.

Central South University, China

Genetic diversity and the genetic disorders of the brain

Shmuel Leavitt, Benjamin Yakir.

The Hebrew University, Israel

Developing algorithms for improving the efficiency of association mapping and for assessing false discovery

Pek Yee Lum, Gurjeet Singh, Gunnar Carlsson.

Ayasdi Inc., USA

Mapping worlds of data: the topological approach

Mark McCarthy, William Rayner, Neil Robertson, Leif Groop, Valeriya Lyssenko, Emma Ahlqvist, Michael Hillström, Peter Almgren, Claes Ladenvall, Colin Palmer, Louise Donnelly, Natalie Van Zuydam, Erica Liu, Helen Colhoun, Harshal Deshmukh, Ewan Pearson, Kaixin Zhou, Alex Doney, Andrew Morris, Timo Kanninen, Petteri Sevon, Carol Forsblom.

Oxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM), UK

Identifying variants influencing diabetic complications (the SUMMIT project)

Hugh Markus.

St George's University of London, UK

A genome wide association study in Ischaemic Stroke

María Concepción Núñez Pardo de Vera.

Fundación Investigación Biomédica Hospital, Clínico San Carlos, Spain

Interactions between genetic polymorphisms in order to confer inflammatory bowel disease susceptibility

Ben Raphael, Fabio Vandin, Layla Oesper, Hsin-Ta Wu.

Brown University, USA

Network Analysis of Disease Associations

Rebecca Roberts, Tony Merriman.

University of Otago, New Zealand

Exploring the genotypic and phenotypic overlap between Ankylosing Spondylitis and Crohn's disease

Miao-Yu Tsai.

National Changhua University of Education, Taiwan

Bayesian Gene Selection Methods with Population Stratification for Genome-Wide Association Studies

Byoung-Tak Zhang, Je-Keun Rhee, Soo-Jin Kim, Ji-Hoon Lee, Woongchang Yoon.

Seoul National University, S. Korea

Genome-wide analysis based on multiple SNP loci using machine learning approaches

Kevin G Becker.

National Institutes of Health, USA

Analysis of WTCCC Seven Common Diseases datasets with novel Gene Sets

Marieke Coenen, Barbara Franke.

Radboud University, The Netherlands

Looking for the missing heritability: new statistical methods for the analysis of complex disorders

Nduna Dzimiri.

King Faisal Specialist Hospital and Research Centre, Saudi Arabia

A Study of Single Nucleotide Polymorphisms in Candidate Genes for Coronary Artery Disease in the Saudi Population

Dominic Furniss, Cisca Wijmenga.

John Radcliffe Hospital, UK

A genome-wide association study in Dupuytren's Disease

Cathy Jensen.

Vrije Universiteit Brussel (VUB), Belgium

A multimodal approach study to dissect the altered regulation of the beta 2 adrenergic receptor (ADRB2) in multiple sclerosis: A study of genetic variation, transcription, translation and degradation

Christine Kiire, Victor Chong, Stephanie Halford.

Oxford Eye Hospital and Nuffield Laboratory of Opthalmology, John Radcliffe Hospital, UK

Genotype-phenotype correlation in type 2 diabetic macular oedema

Younyoung Kim, Chaeyoung Lee.

Soongsil University, S. Korea

Genomewide association study (GWAS) for type 2 diabetes mellitus (T2DM) and hypertension in obese population

Stephanie le Hellard, Kari Merete Ersland, Vidar M. Steen, Andrea Christoforou, Carla Fernandes.

Haukeland University Hospital, Norway

Association analysis in the WTCCC-BP sample of candidate genes identified by 1) expression studies in the rat brain and 2) Genome wide scan of healthy individuals characterised for cognitive and imaging phenotypes

Daniel Levy, Peter J. Munson, Roby Joehanes.

National Heart, Lung, and Blood Institute, USA

Case-Control Study of Atherosclerotic Coronary Artery Disease and its Major Risk Factors

Xia Li, Chuan-xing Li, Liang-de Xu, Yong-sheng Li, Juan Xu, Jun-ying Lv, Ting-ting Shao.

Harbin Medical University, China

Prioritizing disease genes by genome wide analysis of complex diseases to search for the joint effects of multiple loci

Andy Lin, Desmond Smith.

University of California, Los Angeles, USA

Two-way and three-way genetic interactions that underlie human diseases

Jennifer Listgarten, David Heckerman, Carl Kadie.

Microsoft Research, USA

Linear Mixed Models for Extremely Large Data Sets

Yan Liu, Liuzhuo Zhang, Ping Qin, Ang Li.

Harbin Medical University, China

Using data mining method to identified the common risk allele associate with Metabolic Syndrome (MS)

Christina Loley, Inke R. König, Andreas Ziegler.

Universität zu Lübeck, Germany

Association Tests for X-Chromosomal Markers - A Comparison of Different Test Statistics

Alexandra Mirina, Aviv Bergman, Kenny Qian Ye.

Albert Einstein College of Medicine of Yeshiva University, USA

Common characteristics among human disease associated genes

Florian Mittag, Finja Buechel, Andreas Zell.

University of Tuebingen, Germany

Automated GWAS SNP analysis pipeline for assessing the predictability of disease risk using machine learning algorithms and identifying possible associated SNP sets based on pathway and interaction data

Michael J Ombrello, Elaine F. Remmers.

National Institutes of Health, USA

Genomewide association study of systemic juvenile idiopathic arthritis (sJIA)

Mindy Shi, Charles Lee.

Harvard Medical School, USA

Re-Investigate the LD Patterns of SNP and CNV in Disease and Control Cohorts Using Different Algorithms

W van der laan Sander, Gerard Pasterkamp, Paul de Bakker.

University of Utrecht, The Netherlands

Genomics in the Athero-Express Study | Towards a clinical application

Jiexun Wang, Guimin Gao.

Virginia Commonwealth University, USA

Multiple testing procedure for genome-wide association studies

Cisca Wijmenga, Carolien de Kovel, Charlotte Onland-Moret, Lude Franke, Clara Elbers, Guido Dolmans.

University Medical Centre Utrecht, The Netherlands

Searching genome-wide SNP data for signs of directed natural selection and thrifty genes

Michael Wittig, Andre Franke.

Christian-Albrechts-University Kiel, Germany

Rare CNV screening for IBD susceptibility loci.

Sunaina Yadav, Pankaj Sharma, Andrew Singleton.

Imperial College London, UK

Genetic basis of stroke in South Asians

Yang Yang.

Shanghai Maritime University, China

Identifying disease associations by using multi-class feature selection methods

Makiko Yoshida, Asako Koike.

Hitachi, Ltd., Japan

Development of a new method for detecting epistatic interactions in genome-wide association studies

Alexander V. Alekseyenko, Alexander Statnikov.

New York University School of Medicine, USA

Causal graph-based predictive modelling of rheumatoid arthritis from genome-wide association data

Vibeke Andersen, Steffen Bank.

Regional Hospital Viborg, Denmark

Are MRP2 gene variants associated with risk of IBD in smokers and former smokers?

Christopher W Bartlett.

Children's Hospital & The Ohio State University, USA

Using large publicly available cohorts for internal SNP quality control and comparisons with cognitive deficit datasets

Giorgio Battista Boncoraglio, Antonella Lisa, Silvia Bione.

Fondazione IRCCS Istituto Neurologico Carlo Besta, Italy

Genome-wide association study of a cohort of Italian stroke patients

Laurent Briollais.

Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Canada

Development of a General Statistical Framework for Genome-wide Association Studies (GWAS) Based on Bayesian Graphical Modelling

Kathryn Burdon, Jamie Craig, Rhys Fogarty.

Flinders University, Australia

Identification of risk genes for glaucoma Identification of genetic risk factors for diabetic complications

David G Cox, Gilles Thomas.

INSERM, France

Genetic determinants of risk for Ewing's Sarcoma and Hodgkin's Disease

Krzysztof A Cyran.

Silesian University of Technology, Poland

Verifying bio-statistical and machine learning methods appropriate for GWA case-control studies applied in autoimmune diseases and cancer, using actual high-throughput genetic data

Changzheng Dong.

Ningbo University School of Medicine, China

Gene and network-based methods for analysis of genome-wide association studies

Jacob D Feala, Giovanni Paternostro.

Burnham Institute for Medical Research, USA

Search algorithms to discover higher-order epistatic interactions

Chad Garner.

University of California, USA

Association Analysis of Celiac Disease

Elliot S. Gershon, Chunyu Liu, Ney Alliey, Qi Chen, Dandan Zhang.

University of Chicago, USA

Copy Number Variants

Anne E Hughes, Declan T Bradley.

Queen's University of Belfast, UK

Genetic Susceptibility to Common Immune-Related Disorders

Jaewoo Kang.

Korea University, S. Korea

Developing an efficient epistasis search algorithm in genome-wide association studies based on large number of SNPs with large datasets as many as 10,000 cases and controls

Scott Levison, Joanne Pennock.

University of Manchester, UK

Genetic dissection of immunity and inflammation in a model of Crohn's colitis

Kung-Hao Liang.

Chang Gung Memorial Hospital, LinKo Medical Center, Taiwan R.O.C.

Analysis of high-order epistasis on the genome-wide scale

Anna-Sapfo Malaspinas, Montgomery Slatkin, Caroline Uhler, Bernd Sturmfels.

UC Berkeley, USA

Using Markov bases for finding gene-gene interaction in disease association studies

Bahram Namjou, Jennifer Kelly.

Oklahoma Medical Research Foundation, USA

Finding the genetic susceptibility loci in lupus

Swapan K Nath.

Arthritis and Immunology Research Program,Oklahoma Medical Research, USA

Replication of recently identified Rheumatoid arthritis susceptibility loci and gene x gene interaction

Sarah Nelson, Cathy C. Laurie.

University of Washington, USA

Genotype Imputation in GENEVA (Gene Environment Association Studies)

Pål Puntervoll, Michael Dondrup.

Uni BCCS, Norway

Software development for computation of gene-specific scores from p-values of individual markers using LD-data

Abdur Rahman Sikder, Ashis Kumar Biswas.

University of Dhaka, India

Discovering the Genetic Basis of Human Disease (Diabetes)

Tracey Toms, George D Kitas, Deborah Symmons.

Dudley Group of Hospitals NHS Foundation Trust, UK

Dyslipidaemia in rheumatoid arthritis: the role of inflammation, lifestyle, drugs and genetic factors

Dai Wang, Qingqin Li.

Johnson & Johnson Pharmaceutical, USA

Identification of risk genetic loci for Schizophrenia, Schizoaffective, and Bipolar Disorder using control subjects from WTCCC control cohort

Boshao Zhang, Nianjun Liu.

University of Alabama at Birmingham, USA

Genome Wide Haplotype Association Analysis

Carl A. Anderson, Jeffrey C. Barrett.

The Wellcome Trust Sanger Institute, UK

The Genetics of Autoimmune Disease Phenotypes

John Armour.

University of Nottingham, UK

Analysis of CNV-SNP and CNV-disease associations at multiallelic CNVs

Kathleen H. Burns.

Johns Hopkins University School of Medicine, USA

Roles of retrotransposon polymorphisms in susceptibility to pediatric B-cell ALL

Paul Burton, Nick Shrine, Janet Jones, Susan Atkinson, Andrea Rengifo, Neil Walker, David Carmichael, Phil Lobb, Paul Snell, Sue Ring, Wendy McArdle, Elinor Mair Jones.

University of Leicester, UK

Access to all 1958BC genotype data for the Access Committee for CLS Cohorts (ACCC) Technical Review Team

Xiangning Chen, Kia Jackson.

Virginia Commonwealth University, USA

Genetics of nicotine dependence, bipolar disorder and other psychiatric disorders

Bradley Coe, Evan Eichler.

University of Washington, USA

Pathogenic Copy Number Variants in Developmental Delay and Intellectual Disability

Ewa Ehrenborg, Maria Nastase Mannilla.

Karolinska Instiutet, Sweden

Genetic characterization of regulators of ectopic fat accumulation

Javier Gayan.

Neocodex, Spain

Genomewide association and epistasis analysis of Multiple Sclerosis

Burcu Bakir Gungor.

Bahçeşehir Üniversitesi, Turkey

Bioinformatics Approaches to Associate Single Nucleotide Polymorphisms with Human Complex Diseases According to Their Pathway Related Context

Christopher J Hawkey, Michael J Prior, Venkataraman Subramanian.

University Hospital Nottingham, UK

Genetics of Inflammatory Bowel Disease

Tien-hsiung Ku, Fang Rong Hsu, Wei-Chung Shia.

Changhua Christian Hospital, Taiwan

A Decision Support System for the Cardiovascular Disease Using Bioinformatics Approach

Linda Morgan, Paula Williams.

University of Nottingham, UK

Genome-wide association screen for susceptibility genes for pre-eclampsia in UK women

Carlos Morcillo Suarez, Arcadi Navarro Cuartiellas, Daniel Schunk, Thorsten Dickhaus, Klaus-Robert Muller.

Universitat Pompeu Fabra, Spain

Advanced methods for GWAS analysis. Using Data-Adaptive Methods and Support Vector Machines to mine GWAS data

Fredrik Vannberg, Jeffrey C. Barrett.

Wellcome Trust Centre for Human Genetics, UK

Identifying overlap between Crohn's disease and Mycobacterial susceptibility loci

Kristel Van Steen, L Wehenkel, Tom Cattaert, Jestinah Mahachie John, François Schnitzler, Xavier Tordoir, François Van Lishout, Pierre Geurts, Vincent Botta, G Van Camp, Jeroen Huyghe, F. Farnir, Michel Georges, Tom Druet.

Université de Liège, Belgium

Development and application of multi-locus methods, and gene-gene and gene-environment interaction strategies, to detect multiple causal variants for a variety of complex phenotypes

Peng Wei.

University of Texas Health Sciences Center at Houston, USA

Network-based Statistical Methods for Genome-Wide Association Studies

W. Jim Zheng, Emily Kistner-Griffin, Lam C. Tsoi, Tingting Qin.

Medical University of South Carolina, USA

Identifying polygenic models for GWAS using ontology fingerprint derived gene network

Justin Zobel, Michael Inouye, Gad Abraham, Adam Kowalczyk, Raj Gaire, Suling-Joyce Lin, Izhak Haviv.

University of Melbourne, Australia

Multivariate analysis and software design for genome-wide association studies

Jie Huang, Andrew Johnson, Daniel Levy, Chris O'Donnell.

National Heart, Blood and Lung Institute, USA

PRIMe: A method for characterization and evaluation of pleiotropic regions from multiple genome-wide association studies

Lisa F. Barcellos, Paola Bronson.

University of California, Berkeley, USA

Candidate gene analysis of genomewide scan data for autoimmune disease

Martin Brinkworth, Simon J Shepherd, Edward G Rhodes.

University of Bradford, UK

Detection of SNP patterns associated with disease

Jillian Casey, Sean Ennis, Judith Conroy.

University College Dublin, Ireland

Genome-wide homozygous haplotype mapping in complex disorders

Daniel Cohen, Ilya Chumakov, Mickaël Guedj, Fabrice Glibert, Caroline Paccard, Matthieu Bouaziz.

PHARNEXT, France

Replication in Genome-wide Association Studies: from replication of SNPs to replication of gene-networks

Jacques Fellay, David Goldstein, Jean-François Zagury, Olivier Delaneau, Cédric Coulonges, Jonathan Marchini, Mary Carrington, Paul de Bakker, Ma Luo, James Mullins, Steve O'Brien, Stuart Shapiro, Hanneke Schuitemaker, Amalio Telenti, Ioannis Theodorou, Amy Weintrob, Cheryl Winkler, Paul McLaren, Frank Plummer.

Duke University, USA

Meta-analysis of the genetic factors involved in HIV-1 acquisition in the context of the International HIV Acquisition Consortium (IHAC)

Soumitra Ghosh, Craig Struble, Karl Stamm.

Max McGee National Research Center for Diabetes Research, USA

Scaling Up Computational Tools for Genome Wide Association Studies

Ulf Gyllensten, Emma Ivansson.

Uppsala University, Sweden

Genome-wide analysis of genetic susceptibility to cervical cancer

Anders Hamsten, Rona Strawbridge, Maria Sabater-Lleal, Bengt Sennblad, John Öhrvik.

Karolinska University Hospital, Sweden

Case-control association of sequence variants in candidate loci for coronary artery disease (CAD) in the PROCARDIS study

Damini Jawaheer, Rita M. Cantor, Ake Lu.

Children's Hospital Oakland Research Institute (CHORI), USA

Gender Differences in Genetic Associations of Rheumatoid Arthritis (RA)

Matthew C Keller.

University of Colorado Boulder, USA

The roles of homozygosity in the etiology of mental disorders

Charles Lawrence, Luis Carvalho.

Brown University, USA

Centroidal variable selection for genome-wide association studies using an Ising prior

Qingqin Li, Seth L. Ness.

Johnson & Johnson Pharmaceutical, USA

Identification of risk genetic loci for Epilepsy and ALT elevation/DILI using control subjects from WTCCC control cohort

Nick Masca, Nuala Sheehan, Martin Tobin, Paul Burton.

University of Leicester, UK

The application and development of methods to combine information in epidemiological studies of cardiovascular traits of major public health importance. And: We are conducting methodological research on the Homer et al. (2008) paper, which proposes a statistical test to infer the presence of participants in genome-wide association studies.

Haydeh Payami.

New York State Department of Health, USA

Assessing disease-associated and age-related allele frequency variations in disease and control populations

Tiago V. Pereira, Nikolaos A. Patsopoulos, Alexandre C. Pereira, José E. Krieger.

Federal University of São Paulo, Brazil

Strategies for genetic model specification in the screening process of genome-wide meta-analysis signals for further replication

David Reich, Nick Patterson, Alkes Price, Amy Williams, Samuela Pollack, Noah Zaitlen.

Harvard Medical School, USA

Long-rang phasing in large genotype datasets of human subjects

Christine Skibola, Lucia Conde.

University of California, Berkeley, USA

Do common genetic risk factors exist within the major histocompatibility complex between non-Hodgkin lymphona and autoimmune diseases?

Erin Smith, Sarah S. Murray, Nicholas J. Schork.

The Scripps Research Institute, USA

Genome-wide Association of Bipolar Disorder

Anita Thapar, Peter Holmans, Marian Hamshere, Evangelia Stergiakouli, Nigel Williams, Michael O'Donovan, Mike Owen.

MRC Centre in Neuropsychiatric Genetics and Genomics, UK

Identifying susceptibility genes for attention deficit hyperactivity disorder (ADHD)

Datsushi Tokunaga, Yasuhiko Iwamoto, Naoko Iwasaki, Koji Okamoto.

University of Tokyo, Japan

Search for the susceptibility genes of type 2 diabetes in low-middle BMI patients and population diversity

Jan H. Veldink.

University of Utrecht, The Netherlands

The polygenic contribution to susceptibility, disease progression and age at onset in Amyotrophic Lateral Sclerosis

Dennis Wall, Michael S. Banos.

Harvard Medical School, USA

Development of knowledge-driven approach to the analysis of genome-wide association data of human disease

Yu-Ye Wen, Richard Gibbs, Kim Worley.

Human Genome Sequencing Center,Baylor College of Medicine, USA

Genetic variants associated with antiphospholipid antibodies

Lue Ping Zhao, Shuying (Sue) Li, Wenhong Fan, Cindy Zhang.

Fred Hutchinson Cancer Research Center, USA

Validating Predicted HLA Genotypes with SNP Data

Mark Abney, Mary Sara McPeek.

University of Chicago, USA

Statistical methods for association mapping and population stratification

David Alexander, Kenneth Lange, Eric Sobel.

UCLA, USA

New methods for joint modelling of all markers in GWAS studies

Ole A Andreassen, Srdjan Djurovic.

Oslo University Hospital - Ullevål, Norway

TOP study: genetics of severe mental disorders

Folkert W Asselbergs, Jason H. Moore.

University Medical Center Groningen, The Netherlands

Bioinformatics Analysis of Genome-Wide Association Studies

Arthur Berg, Jiangang (Jason) Liao.

Pennsylvania State University, USA

An order statistics approach to adjusting for multiple estimation with application in genome wide association studies

William S. Bush.

Vanderbilt University, USA

Application of En Masse Analysis Score Profiles for Multiple Sclerosis to other phenotypes

Phoebe Chen.

Deakin University, Australia

Genome sequence analysis in computation for bioinformatics

Hilary Clark, Robert Gentleman, Timothy Behrens, Tushar Bhangale, Thomas Wu, Robert Graham.

Genentech, USA

Drug target and biomarker discovery via the human genetics of complex diseases

Chuong B Do, J. Michael Macpherson, Joanna L. Mountain, Nicholas Eriksson.

23andMe Inc., USA

Polygenic inheritance in risk prediction for complex diseases

Jude Fitzgibbon, David Wrench, Jean-Baptiste Cazier, Ahmadreza Niavarani.

Queen Mary School of Medicine and Dentistry, UK

Genetic Predisposition to Follicular Lymphoma

An Goris.

Katholieke Universiteit Leuven, Belgium

Comparison of multiple sclerosis and amyotrophic lateral sclerosis GWAS

Michael Levin, Victoria Wright, Lachlan Coin, Giovanni Montana, Hariklia Eleftherohorinou, Martin Hibberd, Sonia Davila.

Imperial College London, UK

A Genome-Wide Association Study of Kawasaki Disease in a Caucasian Population

Linda Liu, Daniel Newburger, Grace Tang, Emidio Capriotti.

Stanford University, USA

Defining SNP signatures for prediction of onset in complex genetic diseases

Ohad Manor, Eran Segal.

Weizmann Institute of Science, Israel

Predicting disease and phenotype from genotype data

Edward Marcotte, Peggy Wang.

The University of Texas at Austin, USA

Predicting and verifying novel candidate genes associated with breast cancer

Tony Merriman, Phillip Wilcox.

University of Otago, New Zealand

Methods for analysing large (genome-wide association scan) data sets

Katie Morrison, George Ebers, Jean-Baptise Cazier.

Wellcome Trust Centre For Human Genetics, University of Oxford, UK

Genetics of Outcome In Multiple Sclerosis

Ville Mustonen, Andrej Fischer.

The Wellcome Trust Sanger Institute, UK

Developing molecular phenotype (functional-unit) based methods for finding disease realted genomic variants and their evolutionary analysis

Paul Pharoah, Qi Guo, Kelly Bolton, Christina Curtis.

University of Cambridge, UK

Common germline genetic variation and susceptibility to breast and ovarian cancer

Alkes Price, Samuela Pollack, Nick Patterson, David Reich, Pardis Sabeti, Eileen Hoal, Noah Zaitlen, Katarzyna Bryc, Bogdan Pasaniuc, Gaurav Bhatia, Sriram Sankararaman, Amy Williams.

Harvard School of Public Health, USA

Identifying tuberculosis and other infectious disease genes via natural selection mapping and association meta-analysis

Maria Seddighzadeh, Christina M Hultman.

Karolinska University Hospital, Sweden

The genetic variations behind the invert relation between schizophrenia and rheumatoid arthritis

Christine Skibola, Lucia Conde.

University of California, Berkeley, USA

Do common genetic risk factors exist within the major histocompatibility complex between non-Hodgkin lymphoma and autoimmune diseases

Tim D Spector, Feng Zhang.

King's College London, UK

Genome wide association scan and meta analysis for complex traits combining TwinsUK and WTCCC

Martin Tobin, Paul Burton, Louise Wain.

University of Leicester, UK

A practical, anonymised example of a genome-wide association study for the purposes of teaching only

Yupeng Wang, Romdhame Rekaya.

University of Georgia, USA

Detecting Epistatic Interactions for Case-Control Studies

Heping Zhang, Xiang Chen, Minghui Wang, Wensheng Zhu, Yuan Jiang, Yunxiao He, Kelly Cho, Jennifer Brennan, Rose Calixte, Epiphanie Nyirabahizi.

Yale University School of Medicine, USA

Analysis of Genomic Data for Complex Traits

Junying Zhang, Xiguo Yuan.

Xidian University, China

Causative multi-marker discovery for SNP association study: stability based approach with peeling onion strategy

2009

Omar Albagha, Stuart Ralston.

University of Edinburgh, UK

Identification of novel genetic variants that predispose to Paget's disease of bone using genome wide association study

Pedro Alves, Chao Cheng, Mark Gerstein.

Yale University, USA

Analysis of relevant SNPs for multiple diseases from a network perspective

David Balding, Michael Johnson.

University College London, UK

Genome wide association study of susceptibility and clinical phenotypes in epilepsy

Hyo-Jeong Ban, Keun-Joon Park, Jee Yeon Heo.

National Institute of Health, Korea

New approach for Genome-Wide Association Study based on genetic networks

Rasmus Beck, Gert L. Møller, Pernille Koefoed, Erling Mellerup.

Array Technology A/S, Denmark

Array Based Analysis of SNP-combinations in Bipolar Disorder

Atul Butte, Linda Liu.

Stanford University, USA

Integrating genome wide association (GWA) study and gene expression data to discover novel genes that contribute to sex differences in human disease.

Peter Conlon, Gianpiero Cavalleri.

Beaumont Hospital, Ireland

An exploration of kidney transplantation outcome through whole genome association

Graham Cooke.

Imperial College London, UK

The impact of human genes associated with tuberculosis on in vitro uptake and growth of MTB

Ivan Gesteira Costa Filho.

Federal University of Pernambuco, Brazil

Analysis of the response of Multiple Sclerosis Patients to IFNb treatment - integration of expression profiling and genotype data

Fergus Couch, Vernon S. Pankratz.

Mayo Clinic, USA

Genetic epidemiology of triple negative breast cancer

Yang Dai, Joel Fontanarosa, Hong Hu.

University of Illinios at Chicago, USA

Development of Statistical Learning Tools to Investigate Functional Relationships in Genetics Association Studies

Roberto Elosua, Marta Tomas, Gavin Lucas, Isaac Subirana, Carla Lluis-Ganella.

Municipal Institute for Biomedical Research, Barcelona Biomedical Research Park, Spain

Assessment of the role of genetic variants reported by genome-wide association studies in risk of coronary artery disease and of candidate genes in risk of coronary artery disease and hypertension.

Shouguo Gao, Xujing Wang.

University of Boulevard (UAB), USA

Intergrative genomics to dissect the genetics of T1D onset

Michael Greeff.

German Research Center for Environmental Health, Germany

Epistatic effects among Diabetes type 2 genes

Wen-Liang Hwang, Pei-Ling Liu.

Institute of Information Science, Academia Sinica, Taiwan

Statistical classification analysis on SNP case-control data

Samantha Knight, Anna H Schuh, Jenny Taylor, Jean-Baptiste Cazier.

Wellcome Trust Centre for Human Genetics, UK

Investigation of copy number variation and copy neutral loss of heterozygosity in chronic lymphocytic leukaemia

Nina McCarthy, Alice Stanton, Gianpiero Cavalleri, Ciara Vangjeli.

Royal College of Surgeons in Ireland, Ireland

Association of Variants In Candidate Genes Influencing Electrolyte Transport and the Autonomic Nervous System with Blood Pressure Variation

Aline Meirhaeghe, Jean Dallongeville, Julie Dumont, Philippe Amouyel.

Inserm UMR744, France

Association between fatty acid desaturases (FADS) genotypes and coronary artery disease: a meta-analysis

Katherine L Nathanson, Peter A. Kanetsky.

University of Pennsylvania, USA

Meta-analysis and fine mapping of novel testicular germ cell tumor susceptibility loci

Roman Pahl, Helmut Schäfer.

Institut für Medizinische Biometrie und Epidemiologie, Germany

A rapid permutation test algorithm for present and next generation genome-wide association studies

Danielle Posthuma, Esther Lips.

VU University/VU Medical Centre, The Netherlands

Testing functional gene networks in common diseases

Dingxi Qiu.

University of Miami, USA

Investigation of a general-purpose secondary data analysis methodology for genetic association studies

Aparna Radhakrishnan, Willem Ouwehand, Catherine Rice, Nicole Soranzo, Augusto Rendon, Jennifer Sambrook, Lawrence Wernisch, Panos Deloukas, Ellen (CE) van der Schoot.

University of Cambridge, UK

Analysis of loci associated with haematological traits and blood cell alloantigens

Olaf Rotzschke.

Agency for Science, Technology and Research (A*STAR), Singapore

Correlation of inflammatory (auto) immune diseases with genetic polymorphism related to detection and degradation of extracellular ATP

Ameet Sarpatwari, Simon Sanderson, Drew Provan.

University of Cambridge, UK

Disease and treatment response associations with candidate single nucleotide polymorphisms (SNPs) among adult patients with primary immune thrombocytopenia (ITP)

Arne S. Schaefer, Gesa M. Richter.

University Medical Center, Schleswig-Holstein, Germany

Identification of Shared Genetic Susceptibility Loci for Periodontitis and Associated Diseases

Jean-Jacques Schott, Christian Dina, Christine Sinoquet, Philippe Leray, Raphaël Mourad.

INSERM U915, France

Investigating the use of probabilistic graphical models to infer causal variants in complex diseases P

Thomas Sellers, Hoda Anton-Culver, Jill S. Barnholtz-Sloan, Michael J Birrer, Jenny Chang-Claude, Daniel W. Cramer, Ellen L. Goode, Ed Iversen, Harvey Risch.

Moffitt Cancer Center, MRC CANCONT, USA

A genome-wide association study of ovarian cancer: pooled analysis of two studies

Osman Uğur Sezerman, Nilay Noyan, Ceyda Sol.

Sabanci University, Turkey

Determination of Significant SNPs Involved In Disease Identification

Amitabh Sharma.

Lund University, Sweden

Network based interpretation of genome wide association data for lipoprotein traits

Jim Stankovich.

University of Tasmania, Australia

Investigating genetic associations with multiple sclerosis in the HLA complex

Haixu Tang, Xiaofeng Wang, James Brown.

Indiana University, USA

Technical and Ethical Risks in Human Genome Research

Dennis Vitkup, Sarah Gilman.

Columbia University, USA

Using functional networks to extracting information from genome-wide association studies

Jon Wakefield, Xiuwen Zheng.

University of Washington, USA

Investigation of Methods for predicting HLA type

Keith Walley, Taka-aki Nakada.

University of British Columbia, Canada

A genome wide association study in vitro to identify candidate single nucleotide polymorphisms associated with inflammatory response

Wei Wang.

University of North Carolina, USA

Efficient Genome-Wide Multi-Locus Test in Disease Association Study

Margaret Wrensch, John Wiencke, Joe Wiemels, Yuanyuan Xiao, Ivan Smirnov, Terri Rice, Lucie McCoy.

University of California, San Francisco, USA

The Adult Glioma Study

Xia Yang, Jonathan Derry, Judy Zhong, David Henderson, Solly Sieberts, Bin Zhang, Jun Zhu, Joshua Millstein.

Sage Bionetworks, USA

Identification of novel disease associations through large-scale data integration and network-based association approaches.

Wang Yue, Wong Lim Soon, Liu Guimei.

National University of Singapore, Singapore

Fast and intelligent SNP tagging, imputation, association analysis

Xingming Zhao, Zikai Wu, Luonan Chen.

Shanghai University, China

Mining Disease Related Subnetworks by Integrating GWAS Data with Microarray in the Context of Protein-Protein Interaction Network

Pamela Thompson, Malcolm Taylor.

School of Cancer Sciences, St Mary's Hospital, UK

The role of HLA genes in susceptibility and outcome of childhood leukaemia

Riccardo Bellazzi, Alberto Malovini, Angelo Nuzzo, Annibale Alessandro Puca, Marco Fato, Livia Torterolo.

University of Pavia, Italy

Project 1. Multi-Criteria Decision Making Approaches for Quality Control of Genome-Wide Association Studies Project 2. Genome-Wide Association Study for the identification of genetic variants predisposing to longevity

Andreas Beyer.

Biotechnology Center, Dresden, Germany

Systematic detection of genetic interactions in human populations

David Bickel, Corey Yanofsky.

University of Ottawa, Canada

Shrinking estimation for genome-wide association studies

Aharon Brodie, Yanay Ofran.

Bar Ilan University, Israel

Modelling the Effects of Multiple SNPs in Diseases

Patrick Chinnery, John Loughlin, Eleftheria Zeggini, Gavin Hudson.

Newcastle University, UK

Do mitochondrial DNA sequence variants influence the risk of developing osteoarthritis?

Fergus Couch, Vernon S. Pankratz.

Mayo Clinic, USA

Genetic epidemiology of triple negative breast cancer

Emmanuelle Cousin.

Sanofi-aventis, Centre de génétique humaine, France

Identification of genetic pathways involved in rheumatoid arthritis

Thomas Eggermann.

Institute of Human Genetics, University Hospital, Aachen, Germany

Molecular karyotyping in Silver-Russell syndrome patients and related disorders

Roberto Elosua, Marta Tomas, Gavin Lucas, Isaac Subirana, Carla Lluis-Ganella.

Municipal Institute for Biomedical Research, Barcelona Biomedical Research Park, Spain

Assessment of the role of genetic variants reported by genome-wide association studies in risk of coronary artery disease and of candidate genes in risk of coronary artery disease and hypertension

Manuel Garcia-Magariños, Antonio Salas, Ricardo Cao, Ignacio López de Ullibarri.

Universidad de Santiago de Compostela, Spain

Study and comparison of different types of multiple test correction with high-dimensional case-control SNP data

Peter Ghazal, Terence Sloan.

University of Edinburgh, UK

SPRINT - a simple parallel R interface

Steven P. Hamilton.

University of California, San Francisco, USA

Genetic analysis of depression-related phenotypes in a U.S. clinical population

Rui Jiang.

Tsinghua National Laboratory for Information Science and Technology (TNLIST), China

Bayesian models and Markov Chain Monte Carlo strategies for the detection of epistatic interactions for genome-wide case-control studies

Hans A. Kestler, Christoph Müssel.

Ulm University, Germany

Robust population-based algorithms for the identification of associations in SNP data

Jeffrey R. Kilpatrick, Luay K. Nakhleh.

Rice University, USA

Design and evaluation of methods for detecting statistical epistasis

Philip M. Kim, Sangjo Han.

University of Toronto, Canada

Human Annotated Interaction Networks - A Resource to Analyze Genetic Variants and Disease Mutations

Jérémie Lebrec, Leendert Trouw, Rene Toes, Wendimagegn Ghidey.

Leiden University Medical Center, The Netherlands

Heterogeneity in meta-analysis of genome wide association studies

Jing Li, Benjamin Horstman, Kanchana Narayanan, Yixuan Chen, Xin Li, Xiaolin Yin.

Case Western Reserve University, USA

Multi-point and multi-locus analysis of Genome Wide Association Studies

Juan P Liuzzi.

Florida International University, USA

Study of zinc metabolism polymorphisms

Matthew B McQueen.

University of Colorado, USA

Meta-Analysis of Genome-Wide Association Studies

Michael Ng, Yang Liu.

Hong Kong Baptist University, Hong Kong

SNPs Selection and SNPs Interactions in Genome-wide SNPs large scale data sets

Xueling Sim, E Shyong Tai.

Genome Institute of Singapore, Singapore

Genome-wide association study to identify common genetic variants associated with retinal vascular calibre and examine their associations with artery disease

Jonathan Smith.

Cleveland Clinic Lerner College of Medicine, USA

Validation of candidate genes associated with coronary artery disease

Amanda Spurdle, Douglas Easton.

Queensland Institute of Medical Research, Australia

A genome-wide association study in endometrial cancer

Suman Sundaresh.

NextBio, USA

Integration of genome-wide association study results with orthogonal data types

Gen Tamiya, Masao Ueki.

Yamagata University, Japan

Development of new software programs for detecting SNP-SNP interactions

Pramila Tata, Ramesh Hariharan.

Strand Life Sciences, India

Preparation of case Study, application Note and Validation of GeneSpring (a software for GWAS analysis)

Garrett Hor Keong Teoh, Jingyuan Zhao, Tian Liu, Anbupalam Thalamuthu, Devindri Perera.

Genome Institute of Singapore, Singapore

Statistical methods for the analysis of post GWAS era

David Torrents, Josep Maria Mercader.

Barcelona Supercomputing Center, Spain

Systems biology approach to assess the combined effect of multiple SNPs on type 1 and type 2 diabetes and coronary artery disease susceptibility by multiple logistic regression models

Nigel Williams, Anita Thapar, Michael O'Donovan, Mike Owen.

MRC Centre in Neuropsychiatric Genetics and Genomics, UK

An analysis of rare chromosomal anomalies in children with Attention Deficit Hyperactivity Disorder

Jin Xu, Chang-zheng Dong.

Ningbo University,China

Replication of the Wellcome Trust genome-wide association study on essential hypertension in Han Chinese population

Lihua Zou, Jun Liu.

Harvard Medical School/Dana-Farber Cancer Institute, USA

Mining diesease module using a pathway based approach

Pantelis Bagos.

University of Central Greece, Greece

Development of mathematical and computational methods for the analysis and meta-analysis of genome-wide association studies

Sarah Bergen, Kenneth S. Kendler, Brion S. Maher.

Virginia Institute for Psychiatric and Behavioral Genetics, USA

Non-psychiatric GWAS comparison

Matthew Bown, Ben Wright, Janet Powell, Greg Jones, Andre van Rij, Robert Sayers, Jonathon Golledge, Matt Thompson, Anne Hughes, Chee Soong, Stephen Badger, Anne Child, Paul Norman, Kevin Burnand, Alberto Smith, Matthew Waltham, Rachel Clough.

University of Leicester, UK

A genome-wide association study into the pathogenesis and growth of abdominal aortic aneurysms

Ljubomir J. Buturovic.

Pathwork Diagnostics Inc., USA

Disease diagnostics using genotype

Lynn Cotterill, Bill Newman.

Academic Unit of Medical Genetics, St Mary's Hospital, Manchester, UK

An investigation of the tight junction proteins in Inflammatory Bowel Disease

T. Conrad Gilliam, Samer KaraMohamed.

The University of Chicago, USA

Identification of new autoimmune disease genes

Shyh-Yuh Liou, Hiroyoshi Toyoshiba, Akifumi Kogame, Tatsuya Andou.

Takeda Pharmaceutical Company, Japan

Establish and confirm an analytical internal platform in PGx studies for drug development

Weidong Mao.

Virginia State University, USA

Search for Disease Associated Genes and The Prediction of Genetic Susceptibility to Complex Disease

Jason G Mezey.

Cornell University, USA

A new class of computational algorithms for genome-wide association analysis

Martin Michaelis, Alexander Scheer, Anja von Heydebreck, Luca Toldo.

Merck, Germany

Exhaustive pathway analysis of 10 diseases assessed by genome-wide association and knowledge integration methodologies

Sung Hee Park, Sangsoo Kim.

Soongsil University, South Korea

Discovery of SNP markers for disease association using Korea association resource (KARE)

Usman Roshan, Zhi Wei.

New Jersey Institute of Technology, USA

Analysis of genome-wide association studies using discriminative learning methods

Kenneth GC Smith, David Clayton, Paul Lyons.

University of Cambridge, UK

A whole genome association study of ANCA-associated vasculitis

Carol Wise, Derek Gordon.

University of Texas Southwestern, USA

Identification of Genetic Susceptibility in Idiopathic Scoliosis

Xiaohui Xie.

University of California, USA

Pathway and gene network analysis of the GWAS studies

Hsin-Chou Yang, Wen-Harn Pan, Ke-Shiuan Lynn.

Institute of Statistical Science, Taiwan

Gene mapping of complex disorders using SNP arrays

Gabriela Alexe, Isaac Neuhaus.

Bristol-Myers Squibb Co., USA

A multi-marker scheme for risk assessment in genome-wide disease association studies

Stefan Boehringer.

Universität Duisburg-Essen, Germany

A Powerful, Unified Procedure for Evaluating HWE and Association in Genome Wide Association Studies

Paul Brennan, Mark Purdue.

International Agency for Research on Cancer (IARC/WHO),France

NCI/IARC genome-wide association study of kidney cancer

Seth Grant, Andrew Pocklington, Louie Van De Lagemaat, Rene Frank, Noboru Komiyama.

Wellcome Trust Sanger Institute, UK

Genetic load analysis of SNP genotypes in psychosis disorders

David M. Herrington, Yongmei Liu, Timothy D. Howard, Carl D. Langefeld, Georgia Saylor.

Wake Forest University Health Sciences, USA

Identification of SNPs Associated with Cardiovascular Events in WTCC and Pre-clinical Atherosclerosis in the SNPs and Extent of Atherosclerosis (SEA) Study

Matan Hofri, Trey Ideker.

University of California, San Diego, USA

Assessing the feasibility and statistical power of classification methods for the purpose of recovering genetic association from genome wide association data

Chris Holmes, Joanna Davies, Joshua Randall.

University of Oxford, UK

Genome-wide screening for multifactorial risk factors affecting complex quantitative traits using Bayesian mixture model approach to detect heterogeneity

Wolfgang Huber, Richard Bourgon.

European Bioinformatics Institute, UK

Exploration of conditions affecting the ability to identify individuals using SNP data and studygroup allele frequencies

Karl Ihrig.

Nevada Genome Exploration Corporation,m USA

New analytical methods to discover polygenic associations

Junhyong Kim, Shreedar Natarajan.

University of Pennsylvania, USA

Robust Statistical Measures for Detecting Genome-Wide Association

Marcus Kleber, Winfried März.

Synlab Centre of Laboratory Diagnostics, Germany

Association of the single nucleotide polymorphism rs599839 in the vicinity of the sortilin 1 gene with lipoprotein metabolism and coronary heart disease

Jonathan D Licht, Weijia Zhang.

Northwestern University Feinberg, USA

Definition of recurrent regions of Chromosomal Gain and Loss in Myeloprolfierative Neoplasms and possible Disease-Associated Loci

Fuencisla Matesanz, Antonio Alcina, María del Mar Abad.

Instituto de Parasitologiá y Biomedicina López Neyra CSIC Avda.,Spain

Screening analysis for genetic interactions between variants associated to multiple sclerosis and replication in Spanish population

Weihua Meng, Patrick Calvas.

INSERM U563, France

Genetic variants and high myopia using genome-wide association studies

Wynn Meyer, Molly Przeworski.

University of Chicago, USA

Investigating epistatic interactions using measures of disequilibrium between unlinked loci

John Moult.

University of Maryland, USA

Analysis of the Functional impact of coding region SNPs (NIH grant R01 LM07174, PI: Moult)

Dietmar Pfeifer.

University Clinics Freiburg, Germany

Copy-number profiling in hematological diseases

Jonathan Prince.

Karolinska Institute, Sweden

Attempting to detect replicable evidence of biological pathway enrichment from genome-wide association data

Peng Qinke, Wei Bin, Kang Xuejiao.

Xi'an Jiaotong University, China

Research on SNP based on Machine Learning and Data Mining

Rebecca Roberts, Richard B Gearry, Tony Merriman.

University of Otago, New Zealand

Novel genetic risk factors for inflammatory bowel disease

Gerard Schellenberg, Li-San Wang.

University of Pennsylvania, USA

The Alzheimer Disease Genetic Consortium

Thomas Schlitt, Benjamin Lehne.

King's College London, UK

Analysis of GWAS data in the context of biological networks

Albert Tenesa, Malcolm Dunlop.

The University of Edinburgh, UK

Common genetic variation in the aetiology of colorectal cancer

Ian Tomlinson, Jean-Baptiste Cazier.

Wellcome Trust Centre for Human Genetics, University of Oxford, UK

Use of control genotypes for association studies of cancer and cancer-associated traits (including Barrett's oesophagus within WTCCC2)

Musaffe Tuna, Chris Amos.

UT MD Anderson Cancer Center, USA

Copy number-neutral changes in type I and II diabetes, rheumatoid arthritis, inflammatory bowel disease, hypertension and coronary artery disease

Veronica Vieland.

Battelle Center for Mathematical Medicine, USA

Gene x Gene interaction in case control data under PPL framework

Tianyi Yuan, Xiaoli Tian.

Peking University, China

Correction for Population Stratification in Genome-Wide Association Studies

Pan Yu-Chun.

Shanghai Jiao Tong University, China

Genome-wide association studies for discrete traits using kernel machine regression via mixed models

Kathryn Roeder, Jing Wu.

Carnegie Mellon University, USA

Screen and Clean: a statistical tool for identifying interactions in genome-wide association studies

Shipra Agrawal.

Institute of Bioinformatics & Applied Biotechnology, India

Updation of T2D-db: An integrated platform to study the molecular basis of Type 2 diabetes

Tero Aittokallio.

University of Turku, Finland

Computational methods for analysing data from large-scale genome wide association studies and for identifying genome sequence variants predictive of complex human diseases

Laura J Bierut, John Rice, Li-Shiun Chen, Richard Grucza, Sarah Hartz, Anthony Hinrichs, Nancy Saccone, Scott Saccone.

Washington University, USA

Genetic association study of bipolar disorder

John Chambers, Jaspal S Kooner, Weihua Zhang.

Imperial College London, UK

Genome-wide association analysis to identify novel genetic susceptibility genes underlying cardiovascular disease, type 2 diabetes, and hypertension by combining data from the WTCCC and other sources

Shweta Choudhry, Saunak Sen, Eric Jorgenson.

University of California San Francisco, USA

Course in Statistical and Computational Methods in Genetics

Irina Dinu, Yutaka Yasui, Surakameth Mahasirimongkol.

University of Alberta, Canada

Gene Set Analysis for Genome Wide Association Studies

Arief Gusnanto.

University of Leeds, UK

Generalised Linear Mixture Mixed Models to accommodate heterogeneity of effects in genomewide association scan

Chad Huff, Scott Watkins, Jinchuan Xing, David Witherspoon, Tatum Simonson, Steve Guthery, April Whiting, Yuhua Zhang, Lynn Jorde.

University of Utah, USA

Fine mapping of susceptibility alleles for hypertension and Crohn's disease

Aldi T Kraja.

Washington University School of Medicine, USA

An integrative approach to study metabolic syndrome in human and animal models

Theodore Krontiris, Ching Ouyang.

Beckman Research Institute of the City of Hope, USA

Disease association tests for susceptibility loci previously identified by family-based linkage studies

Shamez Ladhani, Martin Hibberd.

Health Protection Agency, UK

Long-term follow-up of children with invasive Haemophilus influenzae type b (Hib) disease despite vaccination to determine genetic risk factors for vaccine failure using large-scale immunogenetics

Guido Leoni, Roberto Ambra.

National Research Institute on Food and Nutrition (I.N.R.A.N.), Italy

Setup of an algorithm to assign a Risk score for the development of certain diseases by monitoring a set of SNPs in well known key-genes

Bryan Mowry, Elizabeth Holliday.

University of Queensland, Australia

Investigating the genetic overlap between schizophrenia and bipolar disorder

Vini Pereira, Thomas Wilhelm.

Institute of Food Research, UK

Discovery of combinatorial effects of genetic variants on human disease risk

Siddharth Prakash, John Belmont.

Baylor College of Medicine, USA

Structural genomic variants as a causative factor in aneurysms and dissections of the thoracic aorta

Alberto Riva.

University of Florida, USA

Development of knowledge-based analysis methods for complex diseases

Richard Sandford.

Cambridge Institute of Medical Research, UK

Identification of susceptibility loci for primary biliary cirrhosis

Carlos Morcillo Suárez, Arcadi Navarro Cuartiellas.

Universitat Pompeu Fabra, Spain

Functional meta-analysis study of WGAs

Chris Tyler-Smith, Daniel MacArthur, Bryndis Yngvadottir, Yali Xue.

The Wellcome Trust Sanger Institute, UK

The evolutionary history of human common disease variants

Hui Wang, Mark J. van der Laan.

University of California at Berkeley, USA

Identification of Causal SNPs Using targeted Methods in Genome Wide Case Control Studies

Kai Wang.

University of Iowa,USA

Detecting genetic association in the presence of population stratification

Peter Gregersen, Wentian Li, Jan Freudenberg.

Feinstein Institute for Medical Research, USA

Increasing Robustness Against False Positive Results in Genome-Wide Genetic Association Studies

Hugh Gurling, David Curtis, Andrew McQuillin, Nick Bass.

University College London, UK

Molecular genetics of schizophrenia, bipolar disorder and alcoholism

Shamez Ladhani, Martin Hibberd.

Health Protection Agency, UK

Long-term follow-up of children with invasive Haemophilus influenzae type b (Hib) disease despite vaccination to determine genetic risk factors for vaccine failure using large-scale immunogenetics

Jonathan Licht, Weijia Zhang.

Northwestern University Feinberg, USA

Definition of recurrent regions of Chromosomal Gain and Loss in Myeloprolfierative Noeplasms and possible Disease-Associated Loci

Siddharth Prakash, John Belmont.

Baylor College of Medicine, USA

Structural genomic variants as a causative factor in aneurysms and dissections of the thoracic aorta

Sonia Davila, Martin Hibberd, Michael Levin.

Genome Institute of Singapore, Singapore

Genetic Discovery of Risk Factors for Meningococcal Disease

Ioannis Ragoussis, Matthias Riemenschneider.

Wellcome Trust Centre for Human Genetics, University of Oxford, UK

Identification of susceptibility genes for frontotemporal lobar degeneration

2008

Melissa Bondy, Sanjay Shete, Chris Amos.

The University of Texas, USA

A genome-wide screen of SNPs to identify susceptibility alleles for adult glioma

Sarah G. Buxbaum, Karen T.Cuenco, Ph.D., Lynette Ekunwe, Olu Ekundayo, Sudharshanam Karakala, Lakita Calvin.

Jackson Heart Study Coordinating Center, USA

Creating TagSNPs for Shared Epitope: do they predict RA and Type 1 Diabetes in several datasets

Ian Buysschaert, Diether Lambrechts, Keith A. A. Fox.

Vesalius Research Center, Belgium

Investigation whether Common Variant on Chromosome 9p21.3 Increasing Susceptibility for Coronary Artery Disease and Myocardial Infarction are Associated with Adverse Outcome in Acute Coronary Syndrome: The GRACE Genetics Study

Suhua Chang, Kunlin Zhang.

Chinese Academy of Sciences, China

Enhanced pathway/GO based analysis for p-value profile of genome-wide association study

Patrick F Chinnery, Simon V Baudouin, Angela Pyle.

Newcastle University, UK

Does a common UCP2 polymorphism predispose to hyperglaecaemia which only becomes manifest during times of acute stress?

Andrew Collins, Ioannis Politopoulos.

Human Genetics Research Division, Southampton General Hospital, UK

Novel approaches to meta-analysis and application to genome-wide data sets for Breast Cancer

Erik Corona, Atul Butte.

Stanford University, USA

Analyzing the emergence of disease in the human population via disease-associated SNPs

John Danesh, Adam Butterworth.

University of Cambridge, UK

Evidence synthesis of the associations between genetic variants and coronary disease risk

Adrian Dobra.

University of Washington, USA

Stochastic search algorithms for identifying networks of interactions in genome-wide studies

Joaquin Dopazo, David Montaner, Ignacio Medina, Carlos Morcillo Suarez, Arcadi Navarro Cuartiellas.

Bioinformatics and Genomics Department (CIPF), Spain

Functional meta-analysis study of WGAs

Lynnette R Ferguson, Ahgarad Morgan, artin Philpott, Dug Yeo Han, Shan Wong.

The University of Auckland, New Zealand

Establishing the potential role of matrix metalloproteases and related genes in Inflammatory Bowel diseases/Comparison of key genes in Crohn's disease between European and New Zealand populations

Jingyuan Fu, Vasiliki Lagou, Ilja Nolte, Harold Snieder.

University Medical Centre, Groningen, The Netherlands

Genome wide analysis of depression and cardiovascular diseases

Cesare Furlanello.

Fondazione Bruno Kessler - Istituto per la Ricerca Scientifica e Tecnologica, Italy

Genomic bases of human susceptibility in tuberculosis: machine learning models of epidemiological parameters of latency and pathogen transmission from genomewide data

Henri-Jean Garchon, Jean-Grégory Cormier.

Inserm U567, France

Population-matched control sample data for a group of UK patients with autoimmune myasthenia gravis

Aan Graça, Orlando Anunciação, Inês Lynce, João Marques-Silva, Arlindo L. Oliveira.

INESC-ID, Portugal

SHIPs: Sat-based Haplotype Inference by Pure Parsimony Funded by the Portuguese Foundation for Science and Technology (www.fct.mctes.pt)

Chuhsing K. Hsiao, Yu-Chung Wei.

National Taiwan University, Taiwan

Two Hybrid Bayesian Procedures for Genome-wide Association Studies

Wenhui Huang, Liqing Zhang.

Virginia Tech, USA

Comparison between different diseases according to their snps in network methods

Aroon Hingorani, Philippa Talmund, Juan Pablo Casas, Reecha Sofat.

University College London, UK

Contribution of common disease variants to risk of cardiovascular disease and their application for causal analysis of non-genetic exposures underlying disease risk

Guolian Kang, Guimin Gao.

The University of Alabama at Birmingham (UAB), USA

An easy and fast weighted-Bonferroni procedure that incorporates information about Hardy-Weinberg disequilibrium in cases for genome-wide association studies

Edward Keedwell, Jacqueline Christmas, Tim Frayling.

University of Exeter, UK

Ant Colony Optimisation to identify Genetic Variant Association with Type 2 Diabetes

John Kelsoe, Tiffany Greenwood.

University of California, USA

Genomic Association Study of Bipolar Disorder

Erik Larsson, Per Lindahl.

Sahlgrenska University Hospital, Sweden

Systems biology analysis of WTCCC GWAS data in relation to established pathways and coexpressed gene modules

Yi Li, JianJun Liu.

Genome Institute of Singapore, Singapore

Method of re-ranking SNPs in genome-wide case-control association studies for follow-up replications

Josep Maria Mercader, Fernando Fernández-Aranda.

Ciber Fisiopatologia Obesidad y Nutricion (CIBEROBN), Spain

Contribution of gene variability in opioid receptors, endocannabinoid signaling and FTO to eating disorders, obesity and their related endophenotypes: a combined family-based and case-control association study

Christian Meyer, Thorsten Thye.

Bernhard Nocht Institute for Tropical Medicine, Germany

Association and linkage approaches to identify human genetic variants contributing to natural protection from pulmonary tuberculosis: Genome-wide and candidate gene studies

Wei Pan, Erin Austin.

University of Minnesota, USA

Statistical methods for analysis of genome-wide association data

John Peden, Martin Farrall, Hugh Watkins.

Wellcome Trust Centre for Human Genetics, University of Oxford, UK

Genome Wide Association of Coronary Artery Disease in the PROCARDIS, a Case Control collection of genetically enriched CAD cases and CAD free Controls

Proton Rahman, Mohammed Uddin.

Memorial University, Canada

Population Therapeutics Research Group (PTRG) supports and carries out drug research in the population of Newfoundland and Labrador with the aim of enhancing drug therapy based on individual genetic profile

Lucy Raymond.

Cambridge Institute for Medical Research, UK

Copy number variation in X linked mental retardation

Brent Richards.

McGill University, Canada

Genetic Epidemiology of Type 2 Diabetes Mellitus

Robert B Scharpf, Rafael Irizarry, Ingo Ruczinski.

Johns Hopkins University, USA

Statistical methods for copy number estimation and genotype calling in high throughput SNP platforms

Carol Shoulders, Max Salm, Helen Ringham, Margaret Town, Stuart Horswell.

Imperial College London, UK

Genetic Characterisation of Familial Combined Hyperlipidemia: Using WTCCC Datasets to Explore and Dissect the Effect of 'FCHL' Risk Alleles on Serum Lipid Levels and Risk of Coronary Heart Disease

Fenghzu Sun, Linqi Zhou.

University of Southern California, USA

Network studies of disease related genes

Toshiko Tanaka.

Harbor Hospital, USA

Genetics of fatty acid profile

Erdahl Teber, Merridee A. Wouters.

The Victor Chang Cardiac Research Institute, Australia

Prediction of candidate genes by analysing statistically significant SNPs associated with Hypertension, Cardiovascular, Bipolar, Type 1 Diabetes, Type 2 Diabetes and Crohns disease

Jin-kai Wang, Bing Su.

Kunming Institute of Zoology, China

Analyse the pathological similarity of different diseases

Julie Williams, Panos Deloukas, Michael Owen, Paul Hollingworth.

Cardiff University, UK

A powerful genome-wide association study of Alzheimer's disease

Patricia Woo, Ebun Omoyinmi.

University College London, UK

Gene association study of Juvenile Idiopathic Arthritis [JIA] subtypes

Dmitri Zaykin.

National Institute of Environmental Health Sciences, USA

Development of methods for multiple testing adjustment in genome wide association scans

Krina Zondervan, Grant Montgomery.

Wellcome Trust Centre for Human Genetics, University of Oxford, UK

Genome Wide Association Study of Endometriosis

Jielin Sun.

Wake Forest University School of Medicine, USA

Germline DNA changes and prostate cancer risk

Jillian Casey, Sean Ennis, Judith Conroy.

University College Dublin, Ireland

Identification of novel rare variants contributing to the genetic architecture of autism

Henry Houlden.

University College London, UK

Genome Wide Association studies (GWAS) and homozygosity mapping in Neurological diseases and A Systematic Investigation of Genes associated with Neurological diseases

David Johnson, Gareth Morgan.

Institute of Cancer Research, UK

The Genetic Contribution to Myeloma Aetiology and Outcome

Jeanette McCarthy, Sunil Suchindran.

Duke University Medical Center, USA

Gene by sex interaction in type 2 diabetes

John Peden, Martin Farrall, Hugh Watkins.

Wellcome Trust Centre for Human Genetics, University of Oxford, UK

Genome Wide Association of Coronary Artery Disease in the Procardis genetically enriched Case Control collection

Ronald P Schuyler, Lawrence Hunter.

University of Colorado at Denver, USA

Application of background knowledge networks to the analysis of genome wide association studies

Sanjay Sisodiya, Dalia Kasperaviciute, Gianpiero Cavalleri.

University College London, UK

Genome-wide association studies in partial epilepsies

Kirk Wilhelmsen.

University of North Carolina, USA

Testing of Utility of CHAT to Search for Mapping Moderate Penetrant Disease Mutations

Ammar Al-Chalabi, Robert H Brown Jr.

King's College London, UK

A genome-wide association study of amyotrophic lateral sclerosis samples from the UK Motor Neurone Disease Association DNA Bank

Christina Tusche, Alice C McHardy.

Max Planck Institute for Computer Science, Germany

Mining for subtle disease-specific patterns of SNPs and associated pathways

Péter Antal.

Budapest University of Technology and Economics, Hungary

Bayesian multilevel analysis of relevance based on Bayesian networks

Thomas Barrett, Shannon K. McWeeney, Annette M Matthews.

Oregon Health & Science University, USA

Genetic Association Studies of Bipolar Disorder Examining Comorbidities and Candidate Genes

Timothy Behrens, Timothy Behrens, Robert Graham, Marco Sorani, Geoffrey Hom.

Genentech Inc., USA

Whole Genome Association Study in Human Systemic Lupus Erythematosus.

Vesna Boraska, Tatijana Zemunik.

University of Split, Croatia

Family-based analysis of tumour necrosis factor and lymphotoxin alpha tag polymorphisms with type 1 diabetes in the population of South Croatia.

Larry S. Corder, Elizabeth H. Corder.

Matrix Genomics Inc., USA

Use of GoM to define genetic risk sets for common disorders: Integration of top 250+ SNPs in terms of p-values

Lindsey Criswell, Pui-yan Kwok, Averil Ma, Stacy Musone, Kimberly Taylor.

University of California San Francisco, USA

Associations between multiple autoimmune diseases and polymorphisms in the TNFAIP3 gene region.

Sonia Davila, Martin Hibberd, Michael Levin.

Genome Institute of Singapore, Singapore

Genetic Discovery of Risk Factors for Meningococcal Disease

Petros Drineas, Peristera Paschou.

Rensselaer Polytechnic Institute, USA

Using Principal Components analysis to identify disease susceptibility genes in genome-wide association studies

Robert Elston, Sudha K. Iyengar, Xiaofeng Zhu, Yuqun Luo, Courtney Gray-McQuire, Catherine Stein, Jill Barnholtz-Sloan, Allison Baker, Yeunjoo Song, Nora L. Nock, Cheryl Thompson, Qing Lu, Dmitry Leontiev, Emma Larkin, Robert Igo, Thomas LaFramboise, Yixuan Chen.

Case Western Reserve University, USA

Investigation of various analytic methods for genome wide association and forming predictive genetic tests.

John Farrell.

Boston University Medical School, USA

Imputation of HLA Genotypes for Whole Genome Association Studies

Olivia Fletcher, Nichola Johnson, Nicholas Orr, Julian Peto, Richard Houlston.

Institute of Cancer Research, UK

Meta-analysis of SNP data from ns and tagging SNP screens of bilateral breast cancer

Andre Franke, Stefan Schreiber, Michael Krawczak.

Institute for Clinical Molecular Biology, UKSH Kiel, Germany

Meta-analysis of genome-wide association scans for Crohn's disease (CD)

Bjarni V Halldórsson.

Reykjavik University, Iceland

Algorithms for detecting structural variations

Anne-Sophie Jannot.

INSERM U-781,France

Searching a gene predisposing to sudden infant death syndrome

Chul Hong Kim, Jong Bhak.

Korea Research Institute of Bioscience and Biotechnology, Korea

Comparative study of genome-wide association of diseases between Caucasian and Korean.

Stefan Kloiber, Susanne Lucae, Bertram Müller-Myhsok, Koji Tsuda.

Max-Planck-Institute of Psychiatry, Germany

Comparison of Polymorphisms in CACNA1C and DFNB31 genetic regions of WTCCC data (bipolar disorder) with WG data from the MARS-Project (unipolar and bipolar depression)

Christoph Lange, Nan Laird, Iuliana Ionita.

Harvard School of Public Health, USA

Development of Novel Statistical Methodology for Genome-wide association studies

Debby Laukens.

Ghent University Hospital, Belgium

Association of SNPs in the MRE-binding transcription factor 1 (MTF-1) gene with inflammatory bowel disease

Martin Lercher.

Heinrich-Heine-University, Germany

Linkage disequilibrium and human disease

Stephen Lillioja, Steven Wiltshire, Peter M. Visscher.

University of Wollongong, Australia

Genetic Linkage clusters in Type 2 Diabetes and Genetic association results: reconciling the discoveries

Jaroslaw Maciejewski, Aaron D. Viny,, Lukasz P. Gondek, Hemant Ishwaran.

Taussig Cancer Institute, USA

Genomic copy number variants as predisposition factors in bone marrow failure syndromes

Fuencisla Matesanz, Antonia Alcina, Maria del Mar Abad.

Instituto de Parasitologiá y Biomedicina López Neyra CSIC, Spain

Screening analysis for genetic interactions between variants associated to multiple sclerosis and replication in Spanish population.

Giuseppe Matullo, Andrea Pagnani, Fabio Rosa.

University of Torino, Italy

Unravelling combinational control in SNP case-control studies by a message passing algorithym.

Celia May, Adam J Webb, Alec J Jeffreys.

University of Leicester, UK

Patterns of linkage disequilibrium in the major human pseudoautosomal region, PAR1.

Jason Papadopoulos.

National Center for Biotechnology Information, USA

Computational studies for the GAIN Imputation Working Group

Joel Parker, Wendell Jones.

Expression Analysis Inc., USA

Evaluation of statistical methodology for simultaneous testing of allele and copy number association with reduced assumptions relative to traditional methods

Leena Peltonen, Jaakko Kaprio, Aarno Palotie, Markus Perola, Samuli Ripatti, Kaisa Silander, Eveliina Jakkula, Karola Rehnström, Ida Lindqvist, Mark McCarthy, Ele Zeggini, Blanca Herrera, William Rayner, Cecilia Lindgren, Inga Prokopenko, Teresa Ferreira, Kate Elliott, Josh Randall, Amanda Bennett, Alvis Brazma, Ugis Srakans, Mike Gostev, Misha Kapushesky, Maria Krestyaninova, Alun Evans, Frank Kee, Chris Patterson, Tim Spector, Massimo Mangino, David R. Bentley, Mark Ross, Christine Rees, Gertjan B. van Ommen, Johan den Dunnen, Judith Boer, Peter-Bram 't Hoen, Albert Hofman, Cornelia van Duijin, Monique Breteler, Jacqueline Witteman, Henning Tiemeier, H.-Erich Wichmann, Christian Gieger, Angela Döring, Melanie Kolz, Nancy Pedersen, Patrik Magnusson, Jonathan Prince, Leif Groop, Valeri Lyssenko, Marju-Orho-Melander, Peter Almgren, Jasmina Kravic, Ann-Christine Syvänen, Per Lundmark, Anders Lundmark, Johanna Sandling.

Institute for Molecular Medicine Finland, Finland

Molecular Epidemiological studies in existing well characterised European(and/or other) population cohorts

Marylyn Ritchie, William S. Bush.

Vanderbilt University, USA

A Multi-Locus Analysis of Multiple Sclerosis Susceptibility

Silke Schmidt, Michael Hauser.

Duke University Medical Center, USA

Genetic Epidemiology of ALS in Veterans.

Massimo Trucco, Bernie Devlin, Kathryn Roeder.

Children's Hospital of Pittsburgh, USA

Detection of susceptibility loci in mulitifactorial disease.

Cornelia M van Duijn, SJ Collins, M Pocchiari, Pascual Sanchez-Juan, RG Will, I Zerr.

Erasmus MC, The Netherlands

EUROCJD: European Network on Creutzfeldt Jakob Disease (CJD)

Timothy Vyse, Deborah Cunninghame Graham.

Imperial College London, UK

The Identification of Susceptibility Genes in Systemic Lupus Erythematosus

Scott Weiss, Juan Celedón, Dawn DeMeo, Craig Hersh, Jessica Lasky-Su, Ross Lazarus, Amy Murphy, Benjamin Raby.

Brigham and Women's Hospital, USA

Development of Novel Statistical Methodology for Genome-wide association studies.

James F Wilson.

University of Edinburgh, UK

1) Individual genome-wide homozygosity - distribution and relationship to disease 2) Testing variants associated with intermediate phenotypes on disease cohorts

Eleftheria Zeggini, Kalliope Panoutsopoulou, Kay Chapman, Lorraine Southam, William Rayner, Robert Lawrence.

Wellcome Trust Centre for Human Genetics, University of Oxford, UK

Genome-wide association scan for osteoarthritis using publicly available control data. Development and application of novel statistical genetics method for the identification of disease genes.

Victor Andreev, Chuanhui Dong, Ma-Li Wong, Julio Licinio.

University of Miami, USA

Polymorphisms in inflammatory-related genes and phosphodiesterase genes associated with susceptibility to mood disorders.

Ana Alfirevic.

University of Liverpool, UK

Pharmacogenetics of adverse drug reactions.

Martin Tobin, Louise Wain.

University of Leicester, UK

Copy number variation (CNV) inferred from Illumina genome-wide SNP genotyping and association with human disease

Dianne Newbury.

Wellcome Trust Centre for Human Genetics, University of Oxford, UK

Case-control association of specific language impairment (SLI)

Anna-Jane Vine, David Curtis.

Queen Mary University of London, UK

Investigation into departures from Hardy Weinberg equilibrium in an unselected sample

Peter M. Visscher, Nick Martin, Grant Montgomery, Allan McRae, Dale Nyholt, David Duffy, John Whitfield, Naomi Wray, Stuart MacGregor, Harry Beeby, Scott Gordon.

Queensland Institute of Medical Research, Australia

GWAS for disease and quantitative traits in Australia and empirical population genetics studies

Eleftheria Zeggini, Kalliope Panoutsopoulou, Kay Chapman, Lorraine Southam, William Rayner, Robert Lawrence, Aaron Day-Williams, Claude Beazley.

Wellcome Trust Centre for Human Genetics, University of Oxford, UK

Genome-wide association scan for osteoarthritis using publicly available control data.

Pardis Sabeti, Elinor Karlsson, Shari Grossman.

The Broad Institute, USA

Haplotype-based methods for finding variants associated with disease susceptibility

Juleen Cavanaugh.

Australian National University, Australia

Assessing the genes and pathways in inflammatory bowel disease.

Vito Annese, Anna Latiano, Orazio Palmieri, Nicola Ancona, Annarita D'Addabo, Roberto Colella.

CSS-IRCCS Hospital and Institute of Intelligent Systems for Automation, Italy

A predictive analysis for finding susceptibility and protective SNPs profiles in Crohn's Disease

Anunchai Assawamakin, Nachol Chaiyaratana, Chanin Limwongse.

Mahidol University, Thailand

Performance Evaluation of a Non-parametric Classifier for Haplotype-Based Gene-Gene Interaction Detection

Inna Belfer, Mitchell B. Max, Daniel E. Weeks, Feng Dai.

University of Pittsburgh, USA

Analysis of Genetic Variation Associated with Human Sciatica Pain Using Whole Genome Scan Data from Affymetrix Genotyping Platform

Aravinda Chakravarti, George Ehret, Dan Arking, Betty Doan.

Johns Hopkins University School of Medicine, USA

FBPP Essential Hypertension Genome-Wide Association Study (FEHGAS)

Yuan-Tsong Chen, Andrew Tai Ann Cheng, Cathy SJ Fann, Wen-Harn Pan, Chen-yang Shen, Jer-Yuarn Wu, Chien-Hsiun Chen, Ming Ta Michael Lee.

Institute of Biomedical Sciences, Academia Sinica, Taiwan

Academia Sinica Multi-Center Genomic Medicine Project

Nicholas Cross.

Essex Regional Genetics Laboratory, Salisbury District Hospital, UK

The molecular pathogenesis of myeloproliferative disorders

Jurgen Del-Favero.

University of Antwerp, Belgium

Replication analysis on ASTN2

George Eisenbarth, Erin Baschal, Andrew Steck.

University of Colorado Denver, USA

Replicating Analysis and Localizing Major Non-HLA MHC Determinants of Type 1A Diabetes

Amanda J Fox, Simon C. Body, Stanton K. Shernan, Kuang-Yu Liu.

Harvard Medical School, USA

Genotypic Influences on Postoperative Ventricular Dysfunction and Perioperative B-Type Natriuretic Peptide Concentrations with Primary Coronary Artery Bypass Graft Surgery

Phillippe Froguel, Alexandra IF Blakemore,, David Balding,, Lachlan Coin, Andrew Walley, Julian Asher.

Imperial College London, UK

A CNV Association Study of Type 2 Diabetes Mellitus

Matthew Hurles, Sarah Lindsay.

Wellcome Trust Sanger Institute, UK

Modelling Non-Allelic Homologous Recomination in the WTCCC1 data to identify novel severe developmental disorders caused by copy number variation

Mark A Jobling.

University of Leicester, UK

What's in a name? Applying patrilineal surnames to forensics, population history and genetic epidemiology

Janice Fullerton.

Prince of Wales Medical Research Institute, Australia

Investigation into the molecular basis of bipolar disorder and the role of genetic interaction in bipolar susceptibility

John B J Kwok, Janice Fullerton.

Prince of Wales Medical Research Institute, Australia

Investigation into the molecular basis of bipolar disorder and the role of genetic interaction in bipolar susceptibility

John B J Kwok, Clement Loy.

Prince of Wales Medical Research Institute, Australia

Investigation into the role of genetic interaction of the glycogen synthase kinase 3b (GSK3B) and microtubule associate protein tau (MAPT) gene in multiple sclerosis

Jason M Laramie, Jason D. Hughes, Albert B. Seymour.

Pfizer Inc., USA

Genetic Association and Pathway Analysis of Common Diseases for Therapeutic Target Identification

Yiu-Fai Lee, Pak C. Sham, Staccy Cherny.

The University of Hong Kong, Hong Kong

Network analysis of pairwise identity-by-descent (IBD) information, with application to disease gene mapping

Danyu Lin, Yijuan Hu.

University of North Carolina, USA

Statistical Methods for Association Analysis with Untyped SNPs

Anthony D Long, Laurence D Mueller, Michael R Rose.

The Long Tomorrow Corp., USA

The relationship between postponed aging genes in Drosophila and human disease

Henry Horng-Shing Lu.

National Chiao Tung University, Taiwan

Statistical Analysis of SNP Microarray

Fabio Macciardi, Federica Torri, Salvi Erika, Lupoli Sara.

Universita Studi di Milano CISI, Italy

Comparison of the results of multi-pathology (rheumatoid arthritis, hypertension, bipolar disorder) GWASs with results obtained by the WTCCC on the same pathologies

Kelci Miclaus, Jason Osborne, Dahlia Nielsen, Jung-Ying Tzeng, Sunil Suchindran.

North Carolina State University, USA

1) Exploration and Visualization of Genetic Data Structure using Multivariate Techniques. 2) Joint Effects of Genetic Markers in Relation to a Phenotype

Kevin Morgan, Olivia Belbin.

Queens Medical Centre, Nottingham, UK

Evaluation of the PLINK tool set for whole-genome association studies. We plan to familiarise ourselves with this latest software package in preparation for when the data from the Wellcome funded GWAS in late-onset Alzheimers disease

Elizabeth G Nabel, Santhi K. Ganesh.

National Human Genome Research Institute, USA

The CardioGene Study of restenosis - Replication analysis using WTCCC case control data

Yusuke Nakamura, Naoyuki Kamatani, Tatsuhiko Tsunoda, Toshihiro Tanaka, Atsushi Takahashi, Reiichiro Nakamichi, Todd A. Johnson.

RIKEN, Japan

Development of algorithms for multi-SNP association studies and meta-analyses using data from different ethnic groups for disease-susceptible genes

Sergey Nejentsev.

University of Cambridge, UK

Comparative genetic analysis of susceptibility to tuberculosis in the West African and European populations

Peter Nyangweso, Feng Sheng.

University of North Carolina at Chapel Hill, USA

Modelling of the Linkage Disequilibrium Patterns in Human Populations

Jurg Ott.

Rockefeller University, USA

New association statistics to be applied to biploar case-control dataset

Taesung Park.

Seoul National University, Korea

Development of statistical method to analyze gene-gene interaction for genome-wide association study

Joel Parker, Wendell Jones.

Expression Analysis Inc., USA

Evaluation of controls to add power in case-control association studies.

Kenneth Ross.

Columbia University, USA

The genetic basis of multifactorial traits and diseases

Frederick Roth, Adnan Derti.

Harvard Medical School, USA

A search for epistatis among unlinked loci in human populations

Nilesh J Samani, John Thompson, Alistair S Hall, David-Alexandre Tregouet, Matt Bown.

University of Leicester, UK

Understanding the genetic basis of coronary artery disease and related traits and risk factors and developing new methods for analysing genome-wide association scans

Colin A M Semple, Attilla Gyenesei.

University of Edinburgh, UK

Algorithm development for the identification of multi-locus association

Cathal Seoighe.

University of Cape Town, South Africa

Genetic redundancy and disease

Matthew Stephens, Yongtao Guan, Mathew Barber, John Marioni, Xiaoquan Wen.

The University of Chicago, UK

Development and application of statisticsl methods for the analysis of genome-wide association studies

Robert Tibshirani, Trevor Hastie.

Stanford University, USA

Study of statistical methods for SNP data

Jung-Ying Tzeng, Youfang Liu, Haojun Ouyang.

University of Cape Town, South Africa

On some statistical issues in genome-wide association analysis: genotyping error and multiple testing

Charlotte Vignal, David Balding.

Imperial College London, UK

Statistical methods for detecting genetic associations in the HLA region

Zulma G Vitezica, Maria Martinez.

INSERM U. 563, France

Strategies of selecting promising markers in genome-wide association studies

Marcin Wlodarski, Lukasz Gondek.

University Hospital of Freiburg, Germany

Analysis of germline copy number variants in healthy population and its use as a reference resource for analysis of predisposition factors in bone marrow failure syndromes.

Wing Hung Wong, Nicholas Johnson.

Stanford University, USA

Bayesian Modelling of Haplotype distribution

Momiao Xiong, Li Jin.

University of Texas Health Science, USA

To detect gene-gene interactions in type 2 diabetes, rheumatoid arthritis, coronary heart disease and hypertension. Using information bottleneck for data mining and population structure analysis for type 2 diabetes, rheumatoid arthritis, coronary heart disease and hypertension

Mark Yang.

University of Florida, USA

Identification of subpopulations that have different disease rates using genetic markers

Zhaoxia Yu.

University of California, USA

Haplotype based association analysis for case-control data.

Jinying Zhao.

Emory University School of Medicine, USA

Applying novel statistical methods to identify genetic polymorphisms and gene-gene interactions for CHD and its risk factors

Dr Zhang, Wei-Han Chen.

The Pennsylvania State University, USA

Bayesian Methods for Genome-wide Case-Control Association Studies

Stephen W Scherer.

The Centre for Applied Genomics, The Hospital for Sick Children, Canada

Copy Number Variation Annotation of British Control Cohort Subjects

Jeremie Becker, Chris Holmes.

University of Oxford, UK

Statistical Methods for discovering cis-acting regulatory elements in candidate genes of Mouse models of human disease

Tim Becker.

University of Bonn, Germany

Evaluation of Imputing Method Implemented in own software FAMHAP

Zoltán Bochdanovits, Peter Heutink.

VU Medical Center, The Netherlands

Detection of gene-gene interactions from non-random co-occurrence of variants in controls and replication of previously detected epistatic association between pairs of genes and depression

Joshua Campbell, Mark A. Kon.

Boston University, USA

Support Vector Machines can be used in Genome-Wide Association Studies to create subsets of SNPs that accurately classify disease phenotypes thus providing insights into the genetic influences of complex diseases

Daniel Catchpoole, Paul Kennedy.

The Children's Hospital at Westmead, Australia

Systems Biology in Leukaemia Diagnostics: Integrative data mining and visualization of genome and genetic data in chidhood acute lymphoblastic leukaemia

Helen Colhoun, Graham A Hitman, Paul McKeigue, David Curtis, Andrew Morris.

University of Dundee, UK

Replication and Combined Evidence for the CARDS Genome Wide Association Analysis

Laura Faye, Lei Sun, Shelley Bull.

University of Toronto, Canada

Reducing Selection Bias: Robustness and Efficiency of Parametric & Non-parametric approaches

Leslie Foldager, Anders D. Børglum, Ole Mors, Carsten Wiuf.

Aarhus University Hospital, Denmark

Gene-environment and gene-gene interactions in genome-wide association studies of schizophrenia and bipolar disorder

Joel Hirschhorn, Elizabeth K Speliotes.

Harvard Medical School, USA

Analysis of SNPs associated with metabolic or inflammatory disease for association to NAFLD and related metabolic traits

Matthew Hurles, Sarah Lindsay.

Wellcome Trust Sanger Institute, UK

Modelling Non-Allelic Homologous Recombination in the WTCCC1 data to identify novel severe development disorders caused by copy number variation

Charles Kooperberg, Valerie Obenchain, Michael LeBlanc, Li Hsu, Yinge Zheng, James Dai, Indika Rajapakse.

Fred Hutchinson Cancer Research Center, USA

Adaptive Function Estimation for Genomic Data

Yiu-Fia Lee, Pak C.Sham, Stacey Cherny.

Hong Kong University, Hong Kong

Network analysis of pairwise identity-by-descent (IBD) information, with application to disease gene mapping

Simon Lin, Pan Du, Warren Kibbe, Jared Flatow.

Northwestern University, USA

Development and Validation of Elastic Computing for GWAS

Brett McKinney.

University of Tulsa, USA

Machine learning method for detecting gene-gene interactions in genome-wide case-control studies

Paula Macrossan, Kerrie Mengerson, Peter Visscher.

Queensland University of Technology, Australia

Using Gene Expression Programming with Logic Regression for the Investigation of SNP Interactions on Genome Wide Association Studies

Javier Martin, Gisela Orozco.

Instituto de Parasitologia y Biomedicina Lopez-Nyera, Spain

Study of the shared genetic component of autoimmune diseases by a candidate genes approach

Cliona Moloney, Eric Schadt, Solveig Sieberts, Eugene Chudin, Ke Hao, Hunter Fraser, Josh Millstein, Judy Zhong.

Rosetta Inpharmatics, USA

Identification of novel disease associations through large-scale data integration network-based association approaches

Hani Neuvirth-Telem, Michal Rosen-Zvi, Ehud Aharoni, Noam Slonim, Shai Fine, Dan Geiger, Chloé-Agathe Azencott, Yaara Goldschmidt, Jonathan Laserson, Daphna Landau, Tamar Lavee.

IBM Research Laboratory in Haifa, Israel

HYPERGENES - European Network for Genetic-Epidemiological Studies building a method to dissect complex genetic traits, using essential hypertension as a disease model

Henrik Bjørn Nielsen, Soren Brunak.

Technical University of Denmark, Denmark

Benchmarking SNP epistasis analysis driven by system wide biological networks

Kenan Onel, Nathan Ellis, Andrew Skol, Nancy Mcgreal.

University of Chicago, USA

Identification of shared and unique regulatory elements associated with inflammatory and common complex genetic diseases

John Powell, Isabella Fogh, Petra Proitsi, Richard Wroe, Conrad Iyegbe, Michelle Lupton, Patrick Johnson, Elvira Bramon, Madiha Shaikh, Kuang Lin.

King's College London, UK

Association studies of neurological and psychiatric diseases - using a common control population

Reid Robinson, Hilary Coon.

University of Utah, USA

A Case-Control Follow-up of Genetic Findings in Extended Utah Autism Pedigrees

Holger Schwender, Katja Ickstadt, Tina Müller, Robin Nunkesser.

Dortmund University of Technology, Germany

Comparison, refinement and development of statistical procedures for detection of SNP interaction and discrimination in large-scale genome-wide association studies

Michael Seldin.

University of California Davis, USA

Further Definition of Population Structure and Substructure

Hyoung Doo Shin.

Sogang University, Korea

Comparison of WTCCC data with Korean whole genome data

Hugues Sicotte, Jean-Pierre Kocher, Chai High Seng, Mariza de Andrade, Venkateswarlu Kondragunta.

Mayo Clinic, USA

Development of biostatistical methods to look at polygenic and epigenetic effects in genome wide association studies using data augmentation methods (gene sets and data imputation) and machine learning techniques

Marina Sirota.

Stanford University, USA

Integration of genome wide association (GWA) study and microarray gene expression profile data to discover the novel pathways of chronic inflammatory disorders

Polly Slessor, Fazil Baksh.

University of Reading, UK

Kernel Smoothing Approaches to Distinguish Signal from Noise in Whole Genome Scans

Yan Sun, Kerby Sheddon, Ji Zhu.

University of Michigan, USA

Screening for Recurrent Modulated Genotype/Phenotype Association for Coronary Artery Disease and Hypertension

Sissades Tongsima.

National Center for Genetic Engineering and Biotechnology, Thailand

Development of new algorithms for resolving population structure ambiguity

Zulma Vitezica, Maria Martinez.

INSERM U.563, France

Strategies of selecting promising markers in genome-wide association studies

Peter Woolf.

University of Michigan, USA

Bayesian network analysis of SNP associations to disease

Lingyun Wu, Xiaobo Zhou.

Cornell University, USA

Combination Targets Therapy for Individualized Breast Cancer Subtypes

Min Zhang, Dabao Zhang, Yanzhu Lin.

Purdue University, USA

Developing Statistical Approaches for Genome-Wide Association Mapping Using SNP Markers

Matt Brown.

University of Queensland, Australia

Genetics of Pseudoexfoliation (PEX) syndrome

Matt Brown.

University of Queensland, Australia

Genetics of Multiple Sclerosis

Brian Browning, Sharon Browning.

The University of Aukland, New Zealand

Improving genotype calling and genotype imputation for genome-wide association studies

Steve Channock, Gilles Thomas, Nianqing Xiao, Zhaoming Wang.

National Cancer Institute, USA

Analysis and control of population structure in genome wide association studies of cancer

Esther Lips.

International Agency for Research on Cancer, France

Identification of genetic variation that is implicated in susceptibility to renal cancer

Staffan Nilsson.

Chalmers University of Technology, Sweden

Gene-gene interaction in celiac disease GWA screens

Nazneen Rahman, Liz Rapley, Clare Turnbull.

Institute of Cancer Research, UK

Whole genome association study for the detection of testicular germ cell tumour susceptibility alleles

Amanda Ewart Toland, Umit Calayurek.

The Ohio State University, USA

Identification of gene-gene interactions using targeted loci from whole genome association study breast cancer data

Tim Bishop, Jenny Barrett.

University of Leeds, UK

Genome-wide association analysis of susceptibility to melanoma

Bill Wilson, Michael Buckley, Ian Saunders, Harri Kiiveri, Garry Hannan.

CSIRO Mathematical and Information Sciences, Australia

Development of novel statistical tools for analysis of high throughput SNP data - Molecular determinants of disease based on copy number detection and linkage

2007

Dominic Allocco, Isaac Kohane.

Children's Hospital Boston, USA

Predicting risk of developing hypertension from genome wide SNP data

Serafim Batzoglou, Russ B Altman, Atul Butte.

Stanford University, USA

Application of machine learning and statistical methods for complex genotype-phenotype associations

Ewan Birney, Dace Ruklisa.

European Bioinformatics Institute, UK

Combining protein-protein and pathway information to gain more statistical power in association studies

Dumitru Brinza.

University of California, San Diego, USA

Development of Discrete Methods for Disease Association Search and Status Prediction in Genotype Case-Control Studies

Lon Cardon, Bruce Weir.

Fred Hutchinson Cancer Research Centre, USA

Increasing the power to detect disease susceptibility genes using multiple external controls

Michele Cargill, Jennifer Wessel, Dietrich Stephan, Eran Halperin, Daryl Thomas.

Navigenics, USA

The Genetic Composite Index: A Descriptive Score for Risk Assessment Based on Multiple SNPs.

Francis Collins, Lori Bonnycastle, Mike Erdos, Peter Chines, Narisu Narisu.

National Human Genome Research Institute, USA

Genome-wide Association Analyses for the Finland-United States Investigation of NIDDM Genetics (FUSION) study.

David J Cutler.

Emory University School of Medicine, USA

Likelihood Association Tests: LATs

Simon Easteal, Gavin Huttley, Jinghua Feng.

Australian National University, Australia

Mapping the relationship between natural selection and disease in human populations

Robert Elston, Sungho Won, Qing Lu.

Case Western Reserve University, USA

Investigation of various analytical methods for genome wide association and forming predictive genetic tests

Takaho A Endo.

RIKEN, Japan

Application of literature knowledge to improve genome-wide association studies

Tim Graubert, Patrick Cahan, Michael Crosswhite.

Washington University School of Medicine, USA

Genome Wide Association by Gene Set Enrichment Analysis (GbG)

Jeremy A Guggenheim, Tetyana Zayats.

Cardiff University, UK

The Family Study of Myopia

Hakon Hakonarson, Struan Grant, Marcin Imielinski.

Center for Applied Genomics, Children's Hospital of Philadelphia, USA

Genome wide association of disease markers in pediatric disease

Jing-Dong Han, Bing Zhou, Hong Yu, Shanshan Zhu.

Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, China

Network Properties of Complex Human Diseases

Xionglei He, Yonggui Fu.

Sun Yat-sen University, China

A global mapping of gene-gene interactions by genome-wide searching for incompatible SNP

Bas Heijmans, Joost Kok, Fabrice Colas, Jan Bot.

Leiden University Medical Centre, The Netherlands

Identifying genomic regions associated with longevity.

Garrett Hellenthal, Chris Holmes.

University of Oxford, UK

Statistical Methods Development for Genetic Association Studies

Guan-Hua Huang.

National Chiao Tung University, TAIWAN

Building the analytic procedure for doing the genome-wide association study

Gordon Huggins, Inta Peter, Eric Wooten.

Tufts-New England Medical Centre, USA

Analysis of Genetics of Vasorelaxation and Cardiovascular Responses Using Genotype Data Available from Wellcome Trust Case Control Consortium

Sarra E Jamieson.

Telethon Institute for Child Health Research, Australia

Are genetic variants in genes involved in the sphingolipid metabolism pathway and subsequent downstream signalling events associated with susceptibility to Crohn's disease?

Juha Kere, Paivi Lahermo.

Karolinska Institutet, Sweden

Genetic variation of the Finnish and Swedish populations - gene mapping and population history

Xiayi Ke.

University of Manchester, UK

Whole genome association data mining to identify genetic factors responsible for auto-immune disease susceptibility

Seyoung Kim, Eric Xing, Kyung-Ah Sohn.

Carnegie Mellon University, USA

Genome-wide association study based on single nucleotide polymorphism (SNP) data

Christina Laukaitis, Barb Trask.

University of Washington, USA

Learning methodology to measure gene copy number variation.

Rod Lea, Donia Macartney, David Hall, Lisa McCallum.

Griffith Health Institute, Australia

The identification of genomic signatures for predicting disease risk using genome wide genotype data from case control cohorts

Shyh-Yuh Liou, Hiroyoshi Toyoshiba, Akifumi Kogame, Tatsuya Ando.

Takeda Pharmaceutical Company, Japan

Establish analytical internal platform in PGx studies for drug development

Peter McGuffin, Anne Farmer, Jo Knight, David Collier, Gerome Breen, Stephan Ripke, Ben Neale, Mark Daly, Danielle Posthuma, Patrick Sullivan, Bertram Mueller-Myhsok.

King's College London, UK

Re-analyses of bipolar whole genome scan data including functional annotation, genomewide haplotype analyses and some exploratory analyses of a single CNV

Francis J McMahon, Amber Baum, Jo Steele.

National Institutes of Health, USA

Meta-analysis of genome-wide association data in bipolar disorder

Nicholas Maniatis, Winston Lau, Sue Povey.

University College London, UK

Analytical tools and strategies for genome-wide association analyses

Robin Munro, William Newell.

InforSense Ltd, UK

InforSense GenSense - Informatics workflow environment for the analysis and interpretation of Genome-Wide Association studies

Alexander B Niculescu III.

Indiana University School of Medicine, USA

Genetic- Genomic Integration in Bipolar Disorder

Pieter Peeters.

Johnson & Johnson Pharmaceutical, Belgium

Assess the importance of copy number variations in bipolar disorders

Flemming Pociot.

Steno Diabetes Center, Denmark

Identification of common pathways between T1D and other inflammatory diseases

Thomas Quertermous, Richard Myers, Tim Assimes, Josh Knowles, Naras Balasubramanian, Hua Tang, Devin Absher, Bradley Efrom, Richard Olshen, Neil Risch, Euan Ashley, MD, Matt Wheeler, Rick Dewey, Marco Perez, Aleks Pavlovic.

Stanford Cardiovascular Medicine, Falk CVRC, USA

Genome wide association for early onset coronary disease and related phenotypes

Leming Shi.

National Center for Toxicological Research (FDA/NCTR), USA

The Genome-Wide Association Working Group (GWAWG) of the Phase II of the MicroArray Quality Control (MAQC) Project

Dennis Shields.

University College Dublin, Ireland

Bioinformatic methods for mining case control whole genome association data

Ingrid Simonic, Lionel Willatt.

Addenbrooke's Hospital, UK

Detailed assessment of the nature, prevalence and potential clinical significance of rare copy number variants in the general population identified with various proprietary and open source software tools

Jonathan Singer.

Novartis Institutes for Biomedical Research, USA

Case-control analysis of disease risk in pharmacogenetic patients

Alexandre Stewart, Robert Roberts, George A. Wells, Ruth McPherson.

University of Ottawa Heart Institute, Canada

Ottawa Heart Genomics Study: a genome-wide association study to identify genes for coronary artery disease.

Ana Valdes.

King's College London, UK

Genetic variants from genomewide scans associated with osteoarthritis of the knee and hip

Marc Via Garcia, Esteban Gonzalez Burchard.

University of California, San Francisco, USA

Characterization of the European and Native American contributions to the genetic background of current Latin American populations.

Tao Wang.

Albert Einstein College of Medicine of Yeshiva University, USA

Modelling gene-gene interactions in genome-wide association studies

Michael Wheedon, Tim Frayling, Andrew Hattersley, Hana Lango, John Perry, David Melzer, Andrew Wood.

Peninsula College of Medicine and Denistry, UK

The influence of quantitative trait loci on common complex diseases

Qiang Yang, Weichuan Yu.

Hong Kong University of Science and Technology, Hong Kong

Discovery of SNP Patterns in Multi-gene Disorders

Jing Maria Zhang, Jun S. Liu.

Harvard University, USA

Bayesian Inference of Haplotypes and Genetic Interactions

Zhaogong Zhang, Shuanglin Zhang, Qiuging Sha.

Technological University, USA

Statistical Methods for Mapping Complex Disease Genes

Lisa Barcellos, Paola Bronson.

University of California, Berkeley, UK

Search for complex genetic interactions in MS AND Candidate gene analysis of genomewide scan data for autoimmune disease

Pamela Belmonte, James B. Potash.

Johns Hopkins Hospital, USA

Multilocus Methods for Whole Genome Association Studies of Bipolar Disorder

Jason Cooper.

University of Cambridge, UK

To investigate whether type 1 diabetes genes may be acting as more generalized susceptibility genes for autoimmune disease

David W Craig.

The Translational Genomics Research Institute, USA

Meta-analysis of genome-wide association study in bipolar disorder

Frank Dudbridge, Sarah Griffiths.

London School of Hygiene and Tropical Medicine, UK

EU Bloodomics Project

Etai Jacob, Pini Akiva, Assaf Wool.

Compugen Ltd., Israel

Genotyping genomic insertions and deletions ranging from 15 bases to 50,000 bases and finding relations of those structural variations to phenotypic phenomena

Jan Fullerton.

Prince of Wales Medical Research Institute, Australia

Investigation into the molecular basis of bipolar disorder and the role of genetic interation in bipolar susceptibility

Michel Georges, Vincent Botta, Cynthia Sandor, Yukihide Momozawa.

University of Liège, Belgium

Whole-genome based estimation of the probability to develop a complex disease. Application to Crohn's disease.

Johannes Hebebrand.

University of Duisburg-Essen, Germany

Molecular Genetics of Obesity

Tadafumi Kato.

RIKEN Brain Science Institute, Japan

Molecular genetics of bipolar disorder

Daphne Koller, Sun-In Lee, Alexis Battle.

Stanford University, USA

Probabilistic Models for Individual Variation in Human Genotype Data

Charles Kooperberg.

Fred Hutchinson Cancer Research Center, USA

Adaptive Function Estimation for Genomic Data

Mary Joan Macleod, Helen Ross-Adams.

University of Aberdeen, UK

Individual genotyping of candidate genes for ischaemic stroke in a Scottish population identified using DNA pools and microarrays

Partha Majumder.

Indian Statistical Institute, India

Development of novel statistical methods for multiple testing corrections in genome wide association studies

Dan Nicolae, Judy Cho, Phil Schumm, Emily Kistner, Michael Johnson, Steven Brant, Richard Duerr, John Rioux, Mark Silverberg, Kent Taylor, Mark Daly, Kathryn Roeder, Jing Wu, Bernie Devlin, Lambertus Klei.

University of Chicago, USA

Exploring epistatis in pathways implicated in chronic inflammatory disease, looking for pleiotropic effects, and investigating possible population substructure in control samples from both the IBDGC and the WTCCC data

Willem Ouwehand, K. Rice, R. Dunn, P. Deloukas.

University of Cambridge, UK

Platelet and monocyte systems biology and coronary artery disease replication studies

Silvia Paddock.

Karolinska Institute, Sweden

Data mining in complex psychiatric disease

E Sasha Paegle, Angela Chen, Hans-Martin, Mette Peters.

Rosetta Biosoftware, USA

A Comprehensive Survey of the Rosetta Syllego System Data Management and Analysis Capabilities Using publicly available genotype data

Lyle Palmer, Paul White, Nicole Warrington, Chris Williams, Chris Ellis, Declan Lynch, Steven Wiltshire, Pamela McCaskie, Kim Carter, Gemma Cadby, Becky Webster.

Western Australian Institute for Medical Research, Australia

The Genetic Epidemiology of Common Complex Diseases

Alexander Pearlman, Harry Ostrer.

New York University School of Medicine, USA

Characterizing the inheritance and progression of prostate cancer by integrating DNA copy number, association, gene expression and genomic sequence data

Itsik Pe'er.

Columbia University in the City of New York, USA

Analysis of Association to Untyped SNPs by a Novel Tagging Method Based on Generalization of Logistic Regression

Robert Plomin.

King's College London, UK

Genomewide association analysis of childhood learning abilities and disabilities in the UK-based Twins Early Development Study using DNA pooling on microarrays

Soumya Raychaudhuri, Mark Daly.

Brigham and Women's Hospital, USA

Application of bioinformatics strategies to identify genetic risk loci in rheumatoid arthritis

Mary Relling, Lisa Trevino, Wenjian Yang, Cheng Cheng, Yiping Fan.

St Jude Children's Research Hospital, USA

Genome-wide Interrogations of single nucleotide polymorphisms in children with acute lymphoblastic leukemia (ALL) that best predict ALL subtype

Joshuya N Sampson.

University of Washington, UK

Does Genotype Calling Introduce Unnecessary Error: Comparing Two-Dimensional Intensity Distributions Directly

Heribert Schunkert, J Erdmann, JR Thompson.

Universitatsklinikum Schleswig-Holstein, Germany

Comparison of FPRP, BFDP and p-value selection in two GWAs

Balaji Srinivasan, Serafim Batzoglou.

Stanford University, USA

Integrative analysis of genome wide association studies

Cisca Wijmenga.

University Medical Centre Utrecht, The Netherlands

Searching genome-wide SNP data for signs of directed natural selection and thrifty genes

Kirk C Wilhelmsen.

Carolina Center for Genome Sciences, USA

Testing the Utility of CHAT to Search for Mapping Moderate Penetrant Disease Mutations

Ian Wilson, Mauro Santibanez-Koref.

Newcastle University, UK

Evaluation of methods for the detection of excess ancestry sharing in common disease

Hongyu Zhao/Cho, Judy Cho.

Yale University, UK

Statistical Analysis of Sample Heterogeneity and Gene-Gene Interation from Dense Genotype Dada and locus-locus interations

Dimitris Anastassiou.

Columbia University, USA

Identification of multiple SNPs jointly and synergistically associated with disease

Vineet Bafna.

University of California, San Diego, USA

Discovery and Analysis of Structural Variation using whole-genome SNP data

Antonio Bahmonde.

University of Oviedo at Gijón, Spain

Application of Support Vector Machines (SVM) to recover the most discriminant genetic polymorphisms. Use of genotype data to simulate phenotypes under different genetic models

Dan Bradley.

Trinity College Dublin, Ireland

Genetic Structure of the Irish population: the Milesian paradigm

David Curtis, Anna E. Vine, Jo Knight.

Queen Mary's School of Medicine and Dentistry, UK

Further investigation of regions of extended homozygosity

Ofir Davidovich, Ron Shamir, Gad Kimmel, Eran Halperin.

Tel Aviv University, Israel

Selecting Tag SNPs According to Prediction Accuracy Increases the Power in Association Studies

Jianchang Du, Xianfeng Chen.

Institute of Health Sciences, China

Structural Variation in Human Case-Control Genomes

Mathieu Emily, Thomas Mailund, Mikkel Heide.

University of Aarhus, Denmark

An approach to detect epistasis in genome-wide association studies using protein interaction databases

Eleazar Eskin, Noah Zaitlen.

University of California, USA

Application of Weighted Haplotype Testing to WTCCC dataset

Xavier Estivil.

Pompeu Fabra University (UPF), Spain

Genetics epidemiology of psychiatric, metabolic and inflammatory disorders in the Spanish population

Andrew Harrison, Graham Upton.

University of Essex, UK

Applying image processing methods to improve the analysis of the SNP chips used by WTCCC

Bernard Hoppe.

Institute of Transfusion Medicine Charité - Universitätsmedizin Berlin, Germany

Association of genetic traits of haemostatic factors with rheumatoid arthritis

Fay Hosking, George Davey Smith, Jonathan Sterne, Peter Green.

University of Bristol, UK

Inference from genome-wide association studies using a novel Markov model

Robert J Klein.

Memorial Sloan-Kettering Cancer Center,m USA

Probabilistic models for dissecting the genetic basis of common diseases

Suzanne M Leal.

Baylor College of Medicine, USA

Association Studies in Bipolar Disorder

Ralph McGinnis, Panos Deloukas, Dominic Kwiatkowski.

Wellcome Trust Sanger Institute, UK

Application of methods for detecting ethnic outliers and disease susceptibility loci, and development of a calling algorithm for Illumina Bead Array Platform

Paul Metcalfe.

National Institute for Biological Standards and Control, UK

Positive control materials for genetic diagnostics: Establishment of the 1st International Genetic Reference Panel for Hereditary Haemochromatosis, Human gDNA

Derek Morris, Aiden Corvin, Michael Gill.

Trinity Centre for Health Sciences, St. James' Hospital, Ireland.

Biological pathways and interaction networks analysis to identify true associations within whole genome association data

John I Nurnberger, Howard J Edenberg, Tatiana Foroud.

Indiana University School of Medicine, USA

Genetic Studies of Bipolar Affective Disorder

Arnar Palsson, Richard R. Hudson.

University of Iceland, Iceland

Developing the PAS method for association analysis

Stephen S Rich.

University of Virginia, USA

A Genome-Wide Association Study for Type 1 Diabetes - the Type 1 Diabetes Genetics Consortium

John A Sayer.

Newcastle University, UK

Genetic Features Contributing to Renal Calcium Stone Formation

David Serre.

McGill University, Canada

New approaches for analyzing population-based association studies and their applications for disease with heterogeneous etiology

Yong Yong Shi.

Shanghai Jiao Tong University, China

Analysing genetic susceptibility epistasis in complex disease

Andrew Skol, Kenan Onel.

University of Chicago, UK

A genome-wide association study for prognostic genetic cancer risk factors

Nelson L S Tang, Weichuan Yu.

The Chinese University of Hong Kong, Hong Kong

Sampling property of linkage disequilibrium parameters and the effect on the power of genetic association study.

William Tapper, Andrew Collins, Sarah Ennis, Jane Gibson, Newton Morton.

University of Southampton, UK

Developing approaches to meta-analysis to identify common disease genes

Gilles Thomas, Zhaoming Wang.

National Cancer Institute, USA

Analysis of the population structure observed in two cohorts of self-described European Americans (CGEMS)

Georgia Tsiliki, Maria De Iorio.

Imperial College London, UK

Study the genomic block structure.

George Uhl.

National Institute of Health, USA

1) Assessing fits between Affymetrix 500k SNP datasets for UK samples with 500k datasets from controls largely recruited in Baltimore, MD 2) Assessing fits between Affymetrix 500k SNP datasets for UK bipolar subjects with 500k datasets from substance depe

Peter J van der Spek, Andrew Stubbs, Olivier Gevaert, Peter Konings.

Erasmus University Medical Center, The Netherlands

Genome wide copynumber variation & association support for use within Erasmus MC & CTMM consortium.

Mike Weale, Thomas Urban.

King's College London, UK

Population genetics and genetic epidemiology of the human genome

John Winn, Anitha Kannan.

Microsoft Research Ltd, UK

Integrating functional genomics data with genetics to help understand human disease

Anne Barton, Jane Worthington.

The University of Manchester, UK

Investigation of psoriatic arthritis susceptibility genes

Jeffrey Bidwell, Craig Donaldson, Jill Hows, Ruth Morse, Godfrey Laundy.

University of Bristol, UK

Do the haplotypes of genes controlling programmed cell death (apoptosis) influence the development of B-cell acute lymphoblastic leukaemia in children?

Michael Boehnke, Laura Scott, Robert Thompson, Margit Burmeister, Stanley Watson, Huda Akil, Heather Stringham, Anne Jackson.

University of Michigan, UK

(1) Genome-wide Association Analyses for Pritzker Network Bipolar Genomewide Association Study (2) Genome-wide Association Analyses for The Finland-United States Investigation of NIDDM Genetics (FUSION) study.

Thomas Bourgeron, Fabian Fauchereau.

Institut Pasteur, Paris, France

Genetic susceptibility to psychiatric disorders

Sharon Browning, Brian Browning.

The University of Auckland, New Zealand

Statistical methodology for association mapping with whole genome association data

Lon Cardon.

Wellcome Trust Centre for Human Genetics, University of Oxford, UK

Statistical evaluation of genome-wide data from population-based controls

Lachlan JM Coin, David Balding, Victoria Wright.

Imperial College London, UK

Development of methods for whole genome case control studies

Alastair Compston, Stephen Sawcer.

University of Cambridge, UK

Genetic analysis of multiple sclerosis

Nick Craddock, Michael O'Donovan, Michael Owen.

Cardiff University, UK

Genome wide association study of psychosis

Paul de Bakker, R Saxena, D Altshuler, Mark Daly.

Massachusetts Institute of Technology, USA

Whole-genome association study of type 2 diabetes and metabolic traits

Peter Donnelly, Gill McVean, Jonathan Marcini, Danyu Lin, Dan Nicolae, Itsik Pe'er, Goncalo Abecasis, Yijuan Hu, Steve Sherry.

University of Oxford, UK

1. Predicting classical HLA types from SNP data 2. Population genetic analysis of genotype data

Richard Durbin.

Wellcome Trust Sanger Institute, UK

Development of genetic variation methods and analyses using Ancestral Recombination Graphs

Patrick Gaffney, Kathy Moser, Robert Graham, Paul de Bakker, Chris Cotsapas, David Altshuler.

University of Minnesota, USA

Whole Genome Association Study in Human Systemic Lupus Erythematosus

Emmanuelle Génin, Pascal Croiseau, Rémi Kazma, Gaelle Marenne, Anne-Louise Leutenegger, Marie-Claude Babron.

Inserm U535, France

Evaluation of methods to detect population stratification

Steven C Greenway, Jonathan G. Seidman.

Harvard Medical School, USA

A whole-genome association study to understand the genetics of tetralogy of Fallot

Simon Heath, Mark Lathrop.

Centre National de Genotypage, France

1) Comparison of features identified using genotype data produced using the Affymetric and Illumina whole genome platforms 2) Whole genome case control studies

Lynne Hocking, David M Reid, Dr Claire Parsons.

University of Aberdeen, UK

Examining extent of linkage disequilibrium in candidate genes from a control population to inform design of studies into genetics of bone and musculoskeletal health and disease.

Jo Knight, Pak Sham, Fruling Rijsdijk.

Institute of Psychiatry, UK

Use of structural equation modelling to estimate pooled DNA frequencies

Ion Mandoiu, Justin Kennedy, Bogdan Pasaniuc.

University of Conneticutm, USA

High-accuracy algorithms for genotype error detection by integrated analysis of population-level haplotype frequency information and low-level intensity data

Mark McCarthy, Ele Zeggini, Nick Timpson, John Whittaker, Marjo Riitta Jarvelin.

Oxford Centre for Diabetes, UK

Genome-wide association analysis of early growth phenotypes and a search for shared genetic determinants of early growth and adult metabolic disease

Amy Jayne McKnight, P Maxwell.

Queen's University of Belfast, UK

The investigation of genetic risk factors for glomerulonephritis using a case-control and family-based association approach

Barry Merriman.

University of California, Los Angeles, USA

1) Methodology Development for: High-resolution copy number detections using SNP-chip hybridization signals 2) Methodology Development for: Identity-by-descent (IBD) detection using dense SNP genotyping

Tony Merriman, Simon Pearce, Sophia Steer, Tim Vyse, Paul Wordsworth.

University of Otago, New Zealand

Replication stage of a whole genome association scan for common autoimmune susceptibility genes

Gareth Morgan, David Johnson, Edward McLaughlin.

The Institute of Cancer Research, UK

The Genetic Contribution to Myeloma Aetiology and Outcome

Simon Pearce, Heather Cordell, Pascal Croiseau, Pallav Bhatnagar.

Newcastle University, UK

Association analyses in autoimmune thyroid disease and autoimmune Addison's disease

Vincent Plagnol, Jason Cooper, David Clayton, John Todd.

University of Cambridge, UK

A method to address differential genotyping bias in large scale association studies

David Reich, Alkes Price, Nick Paterson.

Harvard Medical School and the Broad Institute, USA

Identifying signals of natural selection in genome-wide data sets

Stephan Ripke.

Max-Planck-Institute for Psychiatry, Germany

Creating a software tool to convert WTCCC-data in GenABEL-readable format.

Rori Rohlfs, Bruce Weir.

University of Washington, USA

Investigating allelic association between physically unlinked loci.

Stephan Schreiber, Arne Schaefer, Peter JP Croucher, Almut Nebel.

University Hospital Schleswig-Holstein, Germany

Analysis of allele and genotype frequencies within British and German populations for the identification of common and population specific alleles, and characterization of population specific LD structures, population homogeniety and stratification

Mark Seielstad.

University of California, Los Angeles, USA

Population genetic analyses of human variation in Britain and the Gambia; Identificaton of risk alleles for susceptibility to: 1) Tuberculosis; 2) Rheumatoid Arthritis; 3) Inflammatory Bowel Diseases; 4) Type I and II Diabetes and 5) Hypertension

Pamela Sklar, Shaun Purcell, Edward Scolnick.

Mass General Hospital and Broad Institute, USA

Whole genome association study of bipolar disorder

Thomas Sparsø, Oluf Pedersen.

Steno Diabetes Center, Denmark

Haplotype- and epistasis between common SNPs in candidate genes to investigate the molecular genetic background of type 2 diabetes and obesity

Marc L Sudman, David N. Glass, Susan D. Thompson, Carl D. Langefeld, Bruce Aronow, Michael Wagner, Jarek Meller, Jacek Biesiada.

Cincinnati Children's Hospital Medical Center, USA

Genome-wide Association Studies in Juvenile Idiopathic Arthritis

Patrick Sullivan.

University of Carolina at North Chapel Hill, USA

Cross-sample comparisons of genome-wide association data for neuropsychiatric disorders

Ian Tomlinson, Richard Houlston.

London Research Institute, UK

Identification of common, low penetrance susceptibility alleles for colorectal cancer studies using association studies.

Peter M Vissher, Nick Martin, Grant Montgomery, David Duffy, Dale Nyholt, Stuart Macgregor, Naomi Wray, Allan McRae, Beben Benyamin, Scott Gordon.

Queensland Insitute of Medical Research, Australia

GWAS for disease and quantitative traits in Australia and empirical population genetics studies

John Whittaker, Claudio Verzilli, Mike Kenward.

London School of Hygiene & Tropical Medicine, USA

Dealing with uncertain genotypes in genome wide genetic association studies

Weihua Zhang.

Institute of Cancer Research, USA

Evaluation and comparison of genome-wide association mapping approaches using multiple markers, in particular, addressing various issues in the application of the approach based on the Malecot model and composite likelihood