Show simple item record

dc.contributor.authorBurgess, Stephen
dc.contributor.authorFoley, Christopher N
dc.contributor.authorAllara, Elias
dc.contributor.authorStaley, James R
dc.contributor.authorHowson, Joanna M M
dc.date.accessioned2020-02-19T11:33:34Z
dc.date.available2020-02-19T11:33:34Z
dc.date.issued2020-01-17
dc.identifier.issn2041-1723
dc.identifier.otherPMC6969055
dc.identifier.other31953392
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/302382
dc.description.abstractMendelian randomization (MR) is an epidemiological technique that uses genetic variants to distinguish correlation from causation in observational data. The reliability of a MR investigation depends on the validity of the genetic variants as instrumental variables (IVs). We develop the contamination mixture method, a method for MR with two modalities. First, it identifies groups of genetic variants with similar causal estimates, which may represent distinct mechanisms by which the risk factor influences the outcome. Second, it performs MR robustly and efficiently in the presence of invalid IVs. Compared to other robust methods, it has the lowest mean squared error across a range of realistic scenarios. The method identifies 11 variants associated with increased high-density lipoprotein-cholesterol, decreased triglyceride levels, and decreased coronary heart disease risk that have the same directions of associations with various blood cell traits, suggesting a shared mechanism linking lipids and coronary heart disease risk mediated via platelet aggregation.
dc.languageeng
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceessn: 2041-1723
dc.sourcenlmid: 101528555
dc.titleA robust and efficient method for Mendelian randomization with hundreds of genetic variants.
dc.typeArticle
dc.date.updated2020-02-19T11:33:34Z
prism.issueIdentifier1
prism.publicationNameNature communications
prism.volume11
dc.identifier.doi10.17863/CAM.49454
rioxxterms.versionofrecord10.1038/s41467-019-14156-4
rioxxterms.versionVoR
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidBurgess, Stephen [0000-0001-5365-8760]
dc.contributor.orcidAllara, Elias [0000-0002-1634-8330]
dc.contributor.orcidHowson, Joanna M M [0000-0001-7618-0050]
pubs.funder-project-idMedical Research Council (MR/L003120/1, MC_UU_00002/7)
pubs.funder-project-idBritish Heart Foundation (RG/13/13/30194)
pubs.funder-project-idWellcome Trust (204623/Z/16/Z)


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International