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.
- Engelman, C. D.
- Greenwood, C. M.
- Bailey, J. N.
- Cantor, R. M.
- Kent, J. W., Jr.
- Konig, I. R.
- Bermejo, J. L.
- Melton, P. E.
- Santorico, S. A.
- Schillert, A.
- Wijsman, E. M.
- MacCluer, J. W.
- Almasy, L.