Conditions under which genome-wide association studies will be positively misleading.

Abstract:

:Genome-wide association mapping is a popular method for using natural variation within a species to generate a genotype-phenotype map. Statistical association between an allele at a locus and the trait in question is used as evidence that variation at the locus is responsible for variation of the trait. Indirect association, however, can give rise to statistically significant results at loci unrelated to the trait. We use a haploid, three-locus, binary genetic model to describe the conditions under which these indirect associations become stronger than any of the causative associations in the organism--even to the point of representing the only associations present in the data. These indirect associations are the result of disequilibrium between multiple factors affecting a single trait. Epistasis and population structure can exacerbate the problem but are not required to create it. From a statistical point of view, indirect associations are true associations rather than the result of stochastic noise: they will not be ameliorated by increasing sampling size or marker density and can be reproduced in independent studies.

journal_name

Genetics

journal_title

Genetics

authors

Platt A,Vilhjálmsson BJ,Nordborg M

doi

10.1534/genetics.110.121665

subject

Has Abstract

pub_date

2010-11-01 00:00:00

pages

1045-52

issue

3

eissn

0016-6731

issn

1943-2631

pii

genetics.110.121665

journal_volume

186

pub_type

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