Genetic Analysis Workshop 19: methods and strategies for analyzing human sequence and gene expression data in extended families and unrelated individuals

Corinne D Engelman; Celia M T Greenwood; Julia N Bailey; Rita M Cantor; Jack W Kent Jr; Inke R König; Justo Lorenzo Bermejo; Phillip E Melton; Stephanie A Santorico; Arne Schillert; Ellen M Wijsman; Jean W MacCluer; Laura Almasy

doi:10.1186/s12919-016-0007-z

Genetic Analysis Workshop 19: methods and strategies for analyzing human sequence and gene expression data in extended families and unrelated individuals

BMC Proc. 2016 Oct 18;10(Suppl 7):67-70. doi: 10.1186/s12919-016-0007-z. eCollection 2016.

Authors

Affiliations

¹ Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, 610 Walnut Street, 707 WARF, Madison, WI 53726 USA.
² Lady Davis Institute for Medical Research, Jewish General Hospital, 3755 Côte Ste. Catherine, Montreal, QC H3T 1E2 Canada.
³ Department of Epidemiology, University of California Los Angeles Fielding School of Public Health, Box 951772, Los Angeles, CA 90095 USA.
⁴ Department of Human Genetics, David Geffen School of Medicine at UCLA, 695 Charles E. Young Dr, South, Los Angeles, CA 90024-7088 USA.
⁵ Department of Genetics, Texas Biomedical Research Institute, PO Box 760549, San Antonio, TX 78245-0549 USA.
⁶ Institut für Medizinische Biometrie und Statistik, Universität zu Lübeck, Universitätsklinikum Schleswig-Holstein, Campus Lübeck, Lübeck, Germany.
⁷ Statistical Genetics Group, Institute of Medical Biometry and Informatics, University of Heidelberg, Im Neuenheimer Feld 305, 69120 Heidelberg, Germany.
⁸ Centre for Genetic Origins of Health and Disease, University of Western Australia, Perth, WA Australia.
⁹ Department of Mathematical & Statistical Sciences, University of Colorado-Denver, PO Box 173364, Denver, CO 80204 USA.
¹⁰ Institut für Medizinische Biometrie und Statistik, Universität zu Lübeck, Ratzeburger Allee 160, 23562 Lübeck, Germany.
¹¹ Department of Medicine, Department of Biostatistics, Division of Medical Genetics, University of Washington, Seattle, WA 98195 USA.
¹² South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, San Antonio, TX 78229 USA.

Abstract

Genetic Analysis Workshop 19 provided a platform for developing and evaluating statistical methods to analyze whole-genome sequence and gene expression data from a pedigree-based sample, as well as whole-exome sequence data from a large cohort of unrelated individuals. In this article we present an overview of the data sets, the GAW experience, and summaries of the contributions arranged into nine methodological themes.

Abstract

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