## Abstract To determine the genetic etiology of complex diseases, a common study design is to recruit affected sib/relative pairs (ASP/ARP) and evaluate their genome‐wide distribution of identical by descent (IBD) sharing using a set of highly polymorphic markers. Other attributes or environmental
“Mixture models for linkage analysis of affected sibling pairs with covariates”
✍ Scribed by Jane M. Olson
- Publisher
- John Wiley and Sons
- Year
- 2002
- Tongue
- English
- Weight
- 74 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0741-0395
No coin nor oath required. For personal study only.
✦ Synopsis
2002] propose a mixture representation of the affected sib pair (ASP) likelihood ratio that allows inclusion of covariates. They correctly point out that the primary purpose of covariates in linkage models is to allow for locus heterogeneity. They show using simulations the considerable increase in power that can be attained when a covariate that measures heterogeneity is included in the linkage model. Their article joins an increasing body of work that proposes using additional phenotypic data not only to increase the power to detect linkage but also to help identify subsets of pairs with a common genetic architecture [
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