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Correcting population stratification in genetic association studies using a phylogenetic approach.

Authors :
Mingyao Li
Reilly, Muredach P.
Rader, Daniel J.
Li-San Wang
Source :
Bioinformatics; Mar2010, Vol. 26 Issue 6, p798-806, 9p, 2 Diagrams, 6 Charts
Publication Year :
2010

Abstract

Motivation: The rapid development of genotyping technology and extensive cataloguing of single nucleotide polymorphisms (SNPs) across the human genome have made genetic association studies the mainstream for gene mapping of complex human diseases. For many diseases, the most practical approach is the population-based design with unrelated individuals. Although having the advantages of easier sample collection and greater power than family-based designs, unrecognized population stratification in the study samples can lead to both false-positive and false-negative findings and might obscure the true association signals if not appropriately corrected. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
13674803
Volume :
26
Issue :
6
Database :
Complementary Index
Journal :
Bioinformatics
Publication Type :
Academic Journal
Accession number :
51493487
Full Text :
https://doi.org/10.1093/bioinformatics/btq025