Identifying loci affecting trait variability and detecting interactions in genome-wide association studies

Identification of genetic variants with effects on trait variability can provide insights into the biological mechanisms that control variation and can identify potential interactions. We propose a two-degree-of-freedom test for jointly testing mean and variance effects to identify such variants. We...

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Main Authors: Young, A, Wauthier, F, Donnelly, P
Format: Journal article
Language:English
Published: Springer Nature 2018
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author Young, A
Wauthier, F
Donnelly, P
author_facet Young, A
Wauthier, F
Donnelly, P
author_sort Young, A
collection OXFORD
description Identification of genetic variants with effects on trait variability can provide insights into the biological mechanisms that control variation and can identify potential interactions. We propose a two-degree-of-freedom test for jointly testing mean and variance effects to identify such variants. We implement the test in a linear mixed model, for which we provide an efficient algorithm and software. To focus on biologically interesting settings, we develop a test for dispersion effects, that is, variance effects not driven solely by mean effects when the trait distribution is non-normal. We apply our approach to body mass index in the subsample of the UK Biobank population with British ancestry (n ~408,000) and show that our approach can increase the power to detect associated loci. We identify and replicate novel associations with significant variance effects that cannot be explained by the non-normality of body mass index, and we provide suggestive evidence for a connection between leptin levels and body mass index variability.
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spelling oxford-uuid:1eec35e5-0085-491a-9c93-1646553248f12022-03-26T11:18:59ZIdentifying loci affecting trait variability and detecting interactions in genome-wide association studiesJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:1eec35e5-0085-491a-9c93-1646553248f1EnglishSymplectic Elements at OxfordSpringer Nature2018Young, AWauthier, FDonnelly, PIdentification of genetic variants with effects on trait variability can provide insights into the biological mechanisms that control variation and can identify potential interactions. We propose a two-degree-of-freedom test for jointly testing mean and variance effects to identify such variants. We implement the test in a linear mixed model, for which we provide an efficient algorithm and software. To focus on biologically interesting settings, we develop a test for dispersion effects, that is, variance effects not driven solely by mean effects when the trait distribution is non-normal. We apply our approach to body mass index in the subsample of the UK Biobank population with British ancestry (n ~408,000) and show that our approach can increase the power to detect associated loci. We identify and replicate novel associations with significant variance effects that cannot be explained by the non-normality of body mass index, and we provide suggestive evidence for a connection between leptin levels and body mass index variability.
spellingShingle Young, A
Wauthier, F
Donnelly, P
Identifying loci affecting trait variability and detecting interactions in genome-wide association studies
title Identifying loci affecting trait variability and detecting interactions in genome-wide association studies
title_full Identifying loci affecting trait variability and detecting interactions in genome-wide association studies
title_fullStr Identifying loci affecting trait variability and detecting interactions in genome-wide association studies
title_full_unstemmed Identifying loci affecting trait variability and detecting interactions in genome-wide association studies
title_short Identifying loci affecting trait variability and detecting interactions in genome-wide association studies
title_sort identifying loci affecting trait variability and detecting interactions in genome wide association studies
work_keys_str_mv AT younga identifyinglociaffectingtraitvariabilityanddetectinginteractionsingenomewideassociationstudies
AT wauthierf identifyinglociaffectingtraitvariabilityanddetectinginteractionsingenomewideassociationstudies
AT donnellyp identifyinglociaffectingtraitvariabilityanddetectinginteractionsingenomewideassociationstudies