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This work was supported by grant MH44292 from the U.S. National Institute of Mental Health. references -
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- Publisher
- Wiley
- Copyright
- Copyright © 2000 Wiley Subscription Services
- ISSN
- 0003-4800
- eISSN
- 1469-1809
- DOI
- 10.1046/j.1469-1809.2000.6450413.x
- Publisher site
- See Article on Publisher Site
Abstract
For large numbers of marker loci in a genomic scan for disease loci, we propose a novel 2‐stage approach for linkage or association analysis. The two stages are (1) selection of a subset of markers that are ‘important’ for the trait studied, and (2) modelling interactions among markers and between markers and trait. Here we focus on stage 1 and develop a selection method based on a 2‐level nested bootstrap procedure. The method is applied to single nucleotide polymorphisms (SNPs) data in a cohort study of heart disease patients. Out of the 89 original SNPs the method selects 11 markers as being ‘important’. Conventional backward stepwise logistic regression on the 89 SNPs selects 7 markers, which are a subset of the 11 markers chosen by our method.
Journal
Annals of Human Genetics – Wiley
Published: Jan 1, 2000