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Identifying rare variants from exome scans: the GAW17 experience
- Ghosh, Saurabh;
- Bickeböller, Heike;
- Bailey, Julia;
- Bailey-Wilson, Joan E;
- Cantor, Rita;
- Culverhouse, Robert;
- Daw, Warwick;
- DeStefano, Anita L;
- Engelman, Corinne D;
- Hinrichs, Anthony;
- Houwing-Duistermaat, Jeanine;
- König, Inke R;
- Kent, Jack;
- Laird, Nan;
- Pankratz, Nathan;
- Paterson, Andrew;
- Pugh, Elizabeth;
- Suarez, Brian;
- Sun, Yan;
- Thomas, Alun;
- Tintle, Nathan;
- Zhu, Xiaofeng;
- Ziegler, Andreas;
- MacCluer, Jean W;
- Almasy, Laura
- et al.
Published Web Location
http://dx.doi.org/10.1186/1753-6561-5-S9-S1Abstract
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.
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