Rapid testing of gene-gene interactions in genome-wide association studies of binary and quantitative phenotypes.

Genome-wide association (GWA) studies have been extremely successful in identifying novel loci contributing effects to a wide range of complex human traits. However, despite this success, the joint marginal effects of these loci account for only a small proportion of the heritability of these traits...

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Main Authors: Bhattacharya, K, McCarthy, M, Morris, A
Format: Journal article
Language:English
Published: 2011
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author Bhattacharya, K
McCarthy, M
Morris, A
author_facet Bhattacharya, K
McCarthy, M
Morris, A
author_sort Bhattacharya, K
collection OXFORD
description Genome-wide association (GWA) studies have been extremely successful in identifying novel loci contributing effects to a wide range of complex human traits. However, despite this success, the joint marginal effects of these loci account for only a small proportion of the heritability of these traits. Interactions between variants in different loci are not typically modelled in traditional GWA analysis, but may account for some of the missing heritability in humans, as they do in other model organisms. One of the key challenges in performing gene-gene interaction studies is the computational burden of the analysis. We propose a two-stage interaction analysis strategy to address this challenge in the context of both quantitative traits and dichotomous phenotypes. We have performed simulations to demonstrate only a negligible loss in power of this two-stage strategy, while minimizing the computational burden. Application of this interaction strategy to GWA studies of T2D and obesity highlights potential novel signals of association, which warrant follow-up in larger cohorts.
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spelling oxford-uuid:b8b43f46-1d2f-441d-89ff-15ed6efa7a372022-03-27T04:57:35ZRapid testing of gene-gene interactions in genome-wide association studies of binary and quantitative phenotypes.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:b8b43f46-1d2f-441d-89ff-15ed6efa7a37EnglishSymplectic Elements at Oxford2011Bhattacharya, KMcCarthy, MMorris, AGenome-wide association (GWA) studies have been extremely successful in identifying novel loci contributing effects to a wide range of complex human traits. However, despite this success, the joint marginal effects of these loci account for only a small proportion of the heritability of these traits. Interactions between variants in different loci are not typically modelled in traditional GWA analysis, but may account for some of the missing heritability in humans, as they do in other model organisms. One of the key challenges in performing gene-gene interaction studies is the computational burden of the analysis. We propose a two-stage interaction analysis strategy to address this challenge in the context of both quantitative traits and dichotomous phenotypes. We have performed simulations to demonstrate only a negligible loss in power of this two-stage strategy, while minimizing the computational burden. Application of this interaction strategy to GWA studies of T2D and obesity highlights potential novel signals of association, which warrant follow-up in larger cohorts.
spellingShingle Bhattacharya, K
McCarthy, M
Morris, A
Rapid testing of gene-gene interactions in genome-wide association studies of binary and quantitative phenotypes.
title Rapid testing of gene-gene interactions in genome-wide association studies of binary and quantitative phenotypes.
title_full Rapid testing of gene-gene interactions in genome-wide association studies of binary and quantitative phenotypes.
title_fullStr Rapid testing of gene-gene interactions in genome-wide association studies of binary and quantitative phenotypes.
title_full_unstemmed Rapid testing of gene-gene interactions in genome-wide association studies of binary and quantitative phenotypes.
title_short Rapid testing of gene-gene interactions in genome-wide association studies of binary and quantitative phenotypes.
title_sort rapid testing of gene gene interactions in genome wide association studies of binary and quantitative phenotypes
work_keys_str_mv AT bhattacharyak rapidtestingofgenegeneinteractionsingenomewideassociationstudiesofbinaryandquantitativephenotypes
AT mccarthym rapidtestingofgenegeneinteractionsingenomewideassociationstudiesofbinaryandquantitativephenotypes
AT morrisa rapidtestingofgenegeneinteractionsingenomewideassociationstudiesofbinaryandquantitativephenotypes