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Correcting for multiple analyses in genomewide linkage studies

CAMP, N. J., FARNHAM, J. M.·2001·Annals of Human Genetics

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.

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  1. Lathrop, G. M., Lalouel, J.-M., Julier, C. & Ott, J. (1984). Strategies for multilocus linkage analysis in humans. Proc. Natl. Acad. Sci. USA. 81, 3443-6.

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Metadata

Authors
CAMP, N. J., & FARNHAM, J. M.
Venue
Annals of Human Genetics
Publisher
Wiley
Published
2001-11
Volume
65
Issue
6
Pages
577-582
ISSN
  • 0003-4800
  • 1469-1809
Cited by
50
References
0
Language
en

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CoChat. (2026). Citation check: Correcting for multiple analyses in genomewide linkage studies. https://app.cochat.ai/papers/10.1046/j.1469-1809.2001.6560577.x
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CAMP, N. J., & FARNHAM, J. M. (2001). Correcting for multiple analyses in genomewide linkage studies. Annals of Human Genetics. https://doi.org/10.1046/j.1469-1809.2001.6560577.x