Abstract #300124

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JSM 2002 Abstract #300124
Activity Number: 392
Type: Invited
Date/Time: Thursday, August 15, 2002 : 10:30 AM to 12:20 PM
Sponsor: ENAR
Abstract - #300124
Title: Mixed Model Approaches to Mapping Complex Traits in Human Pedigrees
Author(s): Goncalo Abecasis*+
Affiliation(s): Center for Statistical Genetics
Address: 1420 Washington Heights, Ann Arbor, Michigan, 48109-2029, USA
Keywords: variance components ; genetics ; pedigree ; linkage disequilibrium ; mixed model ; SNP
Abstract:

Linkage disequilibrium is a powerful tool for the genetic analysis of complex traits, such as hypertension, asthma and diabetes. These traits are often described by multiple correlated variables, but analysis of pedigree data usually focus on single variables.

I examine how linkage and association can be estimated in pedigrees using observations from multiple phenotypes with a shared genetic basis. I use a mixed model to estimate polygenic, linkage and association effects simultaneously. The effect of polygenes and genetic linkage are estimated as random effects, whereas the effect of genetic association is estimated as a fixed effect. I describe a computer implementation and outline predicted efficiency gains.

This, and other improved models for genetic analysis, will allow geneticists to extract the full benefits of high throughput SNP catalogs and genotyping technology.

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Revised March 2002