Identifying rare variants from exome scans: The GAW17 experience

Saurabh Ghosh, Heike Bickeböller, Julia Bailey, Joan E. Bailey-Wilson, Rita Cantor, Robert Culverhouse, Warwick Daw, Anita L. Destefano, Corinne D. Engelman, Anthony Hinrichs, Jeanine Houwing-Duistermaat, Inke R. König, Jack Kent, Nan Laird, Nathan Pankratz, Andrew Paterson, Elizabeth Pugh, Brian Suarez, Yan Sun, Alun ThomasNathan Tintle, Xiaofeng Zhu, Andreas Ziegler, Jean W. MacCluer, Laura Almasy

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Article numberS1
JournalBMC Proceedings
Volume5
Issue numberSUPPL. 9
DOIs
StatePublished - Dec 1 2011

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ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

Cite this

Ghosh, S., Bickeböller, H., Bailey, J., Bailey-Wilson, J. E., Cantor, R., Culverhouse, R., Daw, W., Destefano, A. L., Engelman, C. D., Hinrichs, A., Houwing-Duistermaat, J., König, I. R., Kent, J., Laird, N., Pankratz, N., Paterson, A., Pugh, E., Suarez, B., Sun, Y., ... Almasy, L. (2011). Identifying rare variants from exome scans: The GAW17 experience. BMC Proceedings, 5(SUPPL. 9), [S1]. https://doi.org/10.1186/1753-6561-5-S9-S1