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dc.contributor.authorRied JS
dc.contributor.authorJeff M J
dc.contributor.authorChu AY
dc.contributor.authorBragg-Gresham JL
dc.contributor.authorvan Dongen J
dc.contributor.authorHuffman JE
dc.contributor.authorAhluwalia TS
dc.contributor.authorCadby G
dc.contributor.authorEklund N
dc.contributor.authorEriksson J
dc.contributor.authorEsko T
dc.contributor.authorFeitosa MF
dc.contributor.authorGoel A
dc.contributor.authorGorski M
dc.contributor.authorHayward C
dc.contributor.authorHeard-Costa NL
dc.contributor.authorJackson AU
dc.contributor.authorJokinen E
dc.contributor.authorKanoni S
dc.contributor.authorKristiansson K et al
dc.date.accessioned2018-02-23T11:29:08Z
dc.date.available2018-02-23T11:29:08Z
dc.date.issued2016
dc.identifier.urihttps://erepo.uef.fi/handle/123456789/6143
dc.description.abstractLarge consortia have revealed hundreds of genetic loci associated with anthropometric traits, one trait at a time. We examined whether genetic variants affect body shape as a composite phenotype that is represented by a combination of anthropometric traits. We developed an approach that calculates averaged PCs (AvPCs) representing body shape derived from six anthropometric traits (body mass index, height, weight, waist and hip circumference, waist-to-hip ratio). The first four AvPCs explain >99% of the variability, are heritable, and associate with cardiometabolic outcomes. We performed genome-wide association analyses for each body shape composite phenotype across 65 studies and meta-analysed summary statistics. We identify six novel loci: LEMD2 and CD47 for AvPC1, RPS6KA5/C14orf159 and GANAB for AvPC3, and ARL15 and ANP32 for AvPC4. Our findings highlight the value of using multiple traits to define complex phenotypes for discovery, which are not captured by single-trait analyses, and may shed light onto new pathways.en
dc.language.isoENen
dc.publisherSpringer Natureen
dc.relation.ispartofseriesNature Communicationsen
dc.relation.urihttp://dx.doi.org/10.1038/ncomms13357en
dc.rightsCC BY http://creativecommons.org/licenses/by/4.0/en
dc.subjectGenome-wide association studiesen
dc.subjectStatistical methodsen
dc.titleA principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shapeen
dc.description.versionpublished versionen
dc.contributor.departmentSchool of Medicine / Clinical Medicineen
dc.contributor.departmentSchool of Medicine / Biomedicine,School of Medicine / Clinical Nutritionen
uef.solecris.id44048425en
dc.type.publicationinfo:eu-repo/semantics/articleen
dc.rights.accessrights© Authorsen
dc.relation.doi10.1038/ncomms13357en
dc.description.reviewstatuspeerRevieweden
dc.relation.articlenumber13357en
dc.relation.issn2041-1723en
dc.relation.volume7en
dc.rights.accesslevelopenAccessen
dc.type.okmA1en
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
uef.solecris.openaccessOpen access -julkaisukanavassa ilmestynyt julkaisu


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