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Statistical multilocus methods for disequilibrium analysis in complex traits

✍ Scribed by Jurg Ott; Josephine Hoh

Publisher: John Wiley and Sons
Year: 2001
Tongue: English
Weight: 134 KB
Volume: 17
Category: Article
ISSN: 1059-7794
DOI: 10.1002/humu.25

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✦ Synopsis

Hundreds of thousands of SNP markers are being generated with the purpose of carrying out casecontrol association studies for complex traits, which are thought to be due to multiple underlying susceptibility genes. The number of markers is typically much larger than the number of observations so that joint analysis of marker genotypes and their interactions is not feasible. We discuss a two-stage approach to first select a small subset of markers and then model the effects of the selected markers on disease. Examples of two procedures for marker selection are given with subsequent modeling of main and interaction effects. The approaches are applied to a data set with 89 SNPs in lieu of a genome screen with many more markers. Hum Mutat 17:285-288, 2001.

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