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

Research output: Chapter in Book/Conference paperConference paper


  • Corinne D. Engelman
  • Celia M.T. Greenwood
  • Julia N. Bailey
  • Rita M. Cantor
  • Jack W. Kent
  • Inke R König
  • And 7 others
  • Justo Lorenzo Bermejo
  • Phillip E. Melton
  • Stephanie A. Santorico
  • Arne Schillert
  • Ellen M. Wijsman
  • Jean W. MacCluer
  • Laura Almasy

Research units


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.

Original languageEnglish
Title of host publicationBMC Proceedings
Subtitle of host publicationProceedings of Genetic Analysis Workshop 19
EditorsC.M.T. Greenwood, J.W. MacCluer , L. Almasy
Number of pages4
StatePublished - 2016
EventGenetic Analysis Workshop 19 - Austria


ConferenceGenetic Analysis Workshop 19

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