Multiple testing in the genomics era: Findings from Genetic Analysis Workshop 15, Group 15

Martin, Lisa J., Woo, Jessica G., Avery, Christy L., Chen, Huann-Sheng, North, Kari E., Group 15 and Holmans, Peter Alan ORCID: https://orcid.org/0000-0003-0870-9412 2007. Multiple testing in the genomics era: Findings from Genetic Analysis Workshop 15, Group 15. Genetic Epidemiology 31 (S1) , S124-S131. 10.1002/gepi.20289

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Abstract

Recent advances in molecular technologies have resulted in the ability to screen hundreds of thousands of single nucleotide polymorphisms and tens of thousands of gene expression profiles. While these data have the potential to inform investigations into disease etiologies and advance medicine, the question of how to adequately control both type I and type II error rates remains. Genetic Analysis Workshop 15 datasets provided a unique opportunity for participants to evaluate multiple testing strategies applicable to microarray and single nucleotide polymorphism data. The Genetic Analysis Workshop 15 multiple testing and false discovery rate group (Group 15) investigated three general categories for multiple testing corrections, which are summarized in this review: statistical independence, error rate adjustment, and data reduction. We show that while each approach may have certain advantages, adequate error control is largely dependent upon the question under consideration and often requires the use of multiple analytic strategies.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG) Medicine
Subjects:	R Medicine > R Medicine (General)
Additional Information:	Peter Holmans is a member of Group 15
Publisher:	Wiley
ISSN:	0741-0395
Last Modified:	31 Oct 2022 10:08
URI:	https://orca.cardiff.ac.uk/id/eprint/83801

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