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dc.contributor.authorMorris, Tim T
dc.contributor.authorDavies, Neil Martin
dc.contributor.authorHemani, Gibran
dc.contributor.authorDavey-Smith, George
dc.date.accessioned2022-05-04T11:45:15Z
dc.date.available2022-05-04T11:45:15Z
dc.date.created2020-09-17T15:12:56Z
dc.date.issued2020
dc.identifier.issn2375-2548
dc.identifier.urihttps://hdl.handle.net/11250/2994175
dc.description.abstractHeritability, genetic correlation, and genetic associations estimated from samples of unrelated individuals are often perceived as confirmation that genotype causes the phenotype(s). However, these estimates can arise from indirect mechanisms due to population phenomena including population stratification, dynastic effects, and assortative mating. We introduce these, describe how they can bias or inflate genotype-phenotype associations, and demonstrate methods that can be used to assess their presence. Using data on educational achievement and parental socioeconomic position as an exemplar, we demonstrate that both heritability and genetic correlation may be biased estimates of the causal contribution of genotype. These results highlight the limitations of genotype-phenotype estimates obtained from samples of unrelated individuals. Use of these methods in combination with family-based designs may offer researchers greater opportunities to explore the mechanisms driving genotype-phenotype associations and identify factors underlying bias in estimates.en_US
dc.language.isoengen_US
dc.publisherAmerican Association for the Advancement of Scienceen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titlePopulation phenomena inflate genetic associations of complex social traitsen_US
dc.title.alternativePopulation phenomena inflate genetic associations of complex social traitsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.volume6en_US
dc.source.journalScience Advancesen_US
dc.source.issue16en_US
dc.identifier.doi10.1126/sciadv.aay0328
dc.identifier.cristin1830923
dc.relation.projectNorges forskningsråd: 295989en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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