%0 Journal Article
%@ 1753-6561
%A Engelman, Corinne D.
%A Greenwood, Celia M. T.
%A Bailey, Julia N.
%A Cantor, Rita M.
%A Kent, Jack W.
%A König, Inke R.
%A Lorenzo Bermejo, Justo
%A Melton, Phillip E.
%A Santorico, Stephanie A.
%A Schillert, Arne
%A Wijsman, Ellen M.
%A MacCluer, Jean W.
%A Almasy, Laura
%C London
%D 2016
%F heidok:22245
%I BioMed Central
%J BMC Proceedings
%N 19
%P 1-4
%T Genetic Analysis Workshop 19: methods and strategies for analyzing human sequence and gene expression data in extended families and unrelated individuals
%U https://archiv.ub.uni-heidelberg.de/volltextserver/22245/
%V 10
%X 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.
%Z From Genetic Analysis Workshop 19, Vienna, Austria. 24-26 August 2014. Erschienen in: BMC Proceedings 2016, 10 (Suppl 7):19