Genetic Analysis Workshop 14: microsatellite and single-nucleotide polymorphism marker loci for genome-wide scans

• Type of Material: Article
• Authors: Joan E. Bailey-Wilson, National Institutes of Health; Laura Almasy, Southwest Foundation for Biomedical Research; Mariza de Andrade, Mayo Clinic; Julia Bailey, University of California Los Angeles; Heike Bickeboller, Universitat Gottingen; Heather J. Cordell, University of Cambridge; E. Warwick Daw, University of Texas MD Anderson Cancer Center; Lynn Goldin, National Institutes of Health; Ellen L. Goode, Mayo Clinic; Courtney Gray-McGuire, Case Western Reserve University; Wayne Hening, Johns Hopkins University; Gail Jarvik, University of Washington; Brion S. Maher, University of Pittsburgh; Nancy Mendell, State University of New York Stony Brook; Andrew D. Paterson, Hospital for Sick Children; John Rice, Washington University St. Louis; Glen Satten, Emory University; Brian Suarez, Washington University St. Louis; Veronica Vieland, University of Iowa; Marsha Wilcox, Boston University; Heping Zhang, Yale University; Andreas Ziegler, Universitat de Luebeck; Jean W. MacCluer, Southwest Foundation for Biomedical Research
• Language: English
• Date: 2005-12-30
• Publisher: BMC (part of Springer Nature)
• Publication Version: Final Published Version
• Copyright Statement: © 2005 Bailey-Wilson et al; licensee BioMed Central Ltd
• License: Creative Commons Attribution 2.0 Generic
• Final Published Version (URL): http://dx.doi.org/10.1186/1471-2156-6-S1-S1
• Title of Journal or Parent Work: BMC Genetics
• ISSN: 1471-2156
• Volume: 6
• Issue: SUPPL.
• Start Page: S1
• End Page: S1
• Keywords: Genetics & Heredity; Life Sciences & Biomedicine; Science & Technology
• Research Categories: Biology, Biostatistics; Biology, Genetics

Abstract

Genetic Analysis Workshop 14 (GAW14) was held September 7-10, 2005, in Noordwijkerhout, The Netherlands. The overarching theme was the comparison of microsatellite and single-nucleotide polymorphism (SNP) markers for genome-wide scans, and the statistical methods that can best exploit the information provided in such scans for linkage and association studies. The 183 contributions submitted to GAW14 were organized into 18 presentation groups of 7-15 papers each. GAW14 participants had the choice of two data sets to analyze. COGA generously donated extensive family data on alcoholism, related phenotypes, pertinent covariates, and a set of previously analyzed genomescan microsatellite marker genotypes. The simulated data were designed to have similarities to the real data set. Extensive new SNP genotyping was performed on DNA provided by COGA for the previously genotyped families. Illumina, Affymetrix, and the Center for Inherited Disease Research performed this work and donated these data to GAW14 and to COGA. The group summary papers collected in this issue present the major findings from GAW14.