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Correcting for multiple analyses in genomewide linkage studies

Correcting for multiple analyses in genomewide linkage studies The dissection of complex traits frequently calls for multiple analyses to be performed, including the use of both multiple phenotypes and genetic models. These multiple phenotypes and models are often not independent, and hence the necessary correction for the multiple testing is not straightforward. In this paper we offer a new approach to address the problem of how to correct for non‐independent multiple analyses in genomewide linkage studies. We describe one method of how to determine the number of ‘effectively independent’ tests performed in a linkage study using simple linear regression techniques. Further we describe how to use such information to establish genomewide significance thresholds for infinitely dense genomewide maps. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Annals of Human Genetics Wiley

Correcting for multiple analyses in genomewide linkage studies

Annals of Human Genetics , Volume 65 (6) – Jan 1, 2001

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References (3)

Publisher
Wiley
Copyright
Copyright © 2001 Wiley Subscription Services
ISSN
0003-4800
eISSN
1469-1809
DOI
10.1046/j.1469-1809.2001.6560577.x
Publisher site
See Article on Publisher Site

Abstract

The dissection of complex traits frequently calls for multiple analyses to be performed, including the use of both multiple phenotypes and genetic models. These multiple phenotypes and models are often not independent, and hence the necessary correction for the multiple testing is not straightforward. In this paper we offer a new approach to address the problem of how to correct for non‐independent multiple analyses in genomewide linkage studies. We describe one method of how to determine the number of ‘effectively independent’ tests performed in a linkage study using simple linear regression techniques. Further we describe how to use such information to establish genomewide significance thresholds for infinitely dense genomewide maps.

Journal

Annals of Human GeneticsWiley

Published: Jan 1, 2001

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