Research Article

Introduction to Genetic Analysis Workshop 15 summaries

  1. John S. Witte1,*,
  2. Audrey H. Schnell1,
  3. Heather J. Cordell2,
  4. Richard S. Spielman3,
  5. Christopher I. Amos4,
  6. Michael B. Miller5,
  7. Laura Almasy6,
  8. Jean W. MacCluer6

Article first published online: 28 NOV 2007

DOI: 10.1002/gepi.20274

Issue

Genetic Epidemiology

Genetic Epidemiology

Supplement: Genetic Analysis Workshop 15: Summaries of the Design and Analysis of Genomic Data

Volume 31, Issue S1, pages S1–S6, 2007

Additional Information

How to Cite

Witte, J. S., Schnell, A. H., Cordell, H. J., Spielman, R. S., Amos, C. I., Miller, M. B., Almasy, L. and MacCluer, J. W. (2007), Introduction to Genetic Analysis Workshop 15 summaries. Genet. Epidemiol., 31: S1–S6. doi: 10.1002/gepi.20274

Author Information

  1. 1

    Department of Epidemiology and Biostatistics, Institute for Human Genetics, University of California at San Francisco, San Francisco, California

  2. 2

    Institute of Human Genetics, Newcastle University, International Centre for Life, Central Parkway, Newcastle upon Tyne, United Kingdom

  3. 3

    Department of Genetics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania

  4. 4

    Department of Epidemiology, University of Texas M.D. Anderson Cancer Center, Houston, Texas

  5. 5

    Division of Epidemiology, University of Minnesota, Minneapolis, Minnesota

  6. 6

    Department of Genetics, Southwest Foundation for Biomedical Research, San Antonio, Texas

*Institute for Human Genetics, Department of Epidemiology and Biostatistics, University of California, San Francisco 513 Parnassus Ave San Francisco, CA 94143-0794

Publication History

  1. Issue published online: 28 NOV 2007
  2. Article first published online: 28 NOV 2007

Funded by

  • The National Institute of General Medical Science (NIGMS). Grant Number: R10 GM31575
  • The National Human Genome Research Institute (NHGRI). Grant Number: HG002386
  • Genome Canada and Associations AFP, Polyrctique- Group Taifont and Rhumatrime et Travail. Grant Number: AR44422, No1-AR-7-2232
  • The Arthritis Research Compaign
  • The University of Minnesota an the Minnesota Supercomputing Institute. Grant Number: 5R01-HL049609-14, IR01-AG021917-01A1

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Keywords:

  • gene expression;
  • single-nucleotide polymorphism;
  • SNP;
  • genome-wide study;
  • association;
  • linkage;
  • haplotype;
  • data mining;
  • interaction

Abstract

The 15th biennial Genetic Analysis Workshop (GAW15) took place November 11–15, 2006 in St. Pete Beach, Florida. The workshop's primary focus was on the appropriate linkage, association, and other analyses of the increasingly large datasets generated by genetics research. A record number of participants (N=350) contributed 252 papers to GAW15. These contributions were organized into 17 presentation groups, with a range of 11 to 18 papers in each group (median of 15 papers per group). The data sets—or “problems”—for GAW15 included information from two real data sets and a simulated data set. The first problem utilizing real data included gene expression as the phenotype and genome-wide markers for linkage and association studies. The second problem allowed for detecting and characterizing genetic effects for rheumatoid arthritis. And the simulated problem was generated to reflect the data structure underlying the rheumatoid arthritis study. Further details on GAW15 are provided here, and the primary findings from the workshop are highlighted in the following group summary papers. Genet. Epidemiol. 31(Suppl. 1):S1–S6, 2007. © 2007 Wiley-Liss, Inc.

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