Identifying rare variants from exome scans: the GAW17 experience

• Type of Material: Article
• Authors: Saurabh Ghosh, Indian Statistical Institute; Heike Bickeboller, University of Göttingen; Julia Bailey, University of California; Joan E. Bailey-Wilson, National Human Genome Research Institute; Rita Cantor, University of California; Robert Culverhouse, Washington University; Warwick Daw, Washington University; Anita L. DeStefano, Boston University; Corinne D. Engelman, University of Wisconsin-Madison; Anthony Hinrichs, Washington University; Jeanine Houwing-Duistermaat, Leiden University; Inke R. Konig, Universität zu Lübeck; Jack Kent, Jr., Texas Biomedical Research Institute; Nan Laird, Harvard; Nathan Pankratz, University of Minnesota; Andrew Paterson, University of Toronto; Elizabeth Pugh, Johns Hopkins University; Brian Suarez, Washington University; Yan Sun, Emory University; Alun Thomas, University of Utah; Nathan Tintle, Dordt College; Xiaofeng Zhu, Case Western Reserve University; Andreas Ziegler, Universität zu Lübeck; Jean W. MacCluer, Texas Biomedical Research Institute; Laura Almasy, Texas Biomedical Research Institute
• Language: English
• Date: 2011-11-29
• Publisher: BioMed Central
• Publication Version: Final Published Version
• Copyright Statement: © 2011 Ghosh et al; licensee BioMed Central Ltd.
• License: Creative Commons Attribution 2.0 Generic
• Final Published Version (URL): http://www.biomedcentral.com/1753-6561/5/S9/S1
• Title of Journal or Parent Work: BMC Proceedings
• ISSN: 1753-6561
• Volume: 5
• Issue: Suppl 9
• Start Page: 1
• End Page: 4
• Grant/Funding Information: This grant also provided scholarship funds to help defray travel costs for 40 graduate students and postdoctoral trainees attending GAW17; Continuous funding for the Genetic Analysis Workshops has been provided since 1982 by the National Institute of General Medical Sciences (NIGMS), through National Institutes of Health grant R01 GM31575 awarded to Jean MacCluer and Laura Almasy.
• Research Categories: Health Sciences, Epidemiology; Biology, Genetics; Biology, Biostatistics

Abstract

Genetic Analysis Workshop 17 (GAW17) provided a platform for evaluating existing statistical genetic methods and for developing novel methods to analyze rare variants that modulate complex traits. In this article, we present an overview of the 1000 Genomes Project exome data and simulated phenotype data that were distributed to GAW17 participants for analyses, the different issues addressed by the participants, and the process of preparation of manuscripts resulting from the discussions during the workshop.