This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 564
Type: Topic Contributed
Date/Time: Wednesday, August 4, 2010 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #307769
Title: Robust Methods for Genomewide Analysis in Family Samples, with Application to the Framingham Heart Study
Author(s): Josee Dupuis*+
Companies: Boston University School of Public Health
Address: Department of Biostatistics, BUMC, Boston, MA, 02118,
Keywords: GWAS ; genetic ; family ; association
Abstract:

Multiple genome-wide association scans using hundreds of thousands of single nucleotide polymorphisms have been performed recently, and have enabled researchers to identify genetic variants with small effect on quantitative traits. While most of these genome scans use unrelated samples, a small number of studies have pursued genome-wide association approaches in related subjects. Association analysis in family samples presents certain additional statistical challenges because of the correlated nature of the observations; however, the advantages of family designs in genetic studies greatly outweigh the added analysis complexity. We present robust statistical approaches to exploit family attributes when searching for genetic variants influencing quantitative traits of interest. We illustrate the methods using examples from a high density scan in the Framingham Heart Study cohorts.


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