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dc.contributor.authorZhao, Huiling
dc.contributor.authorRasheed, Humaria
dc.contributor.authorNøst, Therese Haugdahl
dc.contributor.authorCho, Yoonsu
dc.contributor.authorLiu, Yi
dc.contributor.authorBhatta, Laxmi
dc.contributor.authorBhattacharya, Arjun
dc.contributor.authorHemani, Gibran
dc.contributor.authorDavey Smith, George
dc.contributor.authorBrumpton, Ben Michael
dc.contributor.authorZhou, Wei
dc.contributor.authorNeale, Benjamin M.
dc.contributor.authorGaunt, Tom R.
dc.contributor.authorZheng, Jie
dc.date.accessioned2022-12-19T14:55:37Z
dc.date.available2022-12-19T14:55:37Z
dc.date.issued2022-10-12
dc.description.abstractProteome-wide Mendelian randomization (MR) shows value in prioritizing drug targets in Europeans but with limited evidence in other ancestries. Here, we present a multi-ancestry proteome-wide MR analysis based on cross-population data from the Global Biobank Meta-analysis Initiative (GBMI). We estimated the putative causal effects of 1,545 proteins on eight diseases in African (32,658) and European (1,219,993) ancestries and identified 45 and 7 protein-disease pairs with MR and genetic colocalization evidence in the two ancestries, respectively. A multi-ancestry MR comparison identified two protein-disease pairs with MR evidence in both ancestries and seven pairs with specific effects in the two ancestries separately. Integrating these MR signals with clinical trial evidence, we prioritized 16 pairs for investigation in future drug trials. Our results highlight the value of proteome-wide MR in informing the generalizability of drug targets for disease prevention across ancestries and illustrate the value of meta-analysis of biobanks in drug development.en_US
dc.identifier.citationZhao, Rasheed, Nøst, Cho, Liu, Bhatta, Bhattacharya, Hemani, Davey Smith, Brumpton, Zhou, Neale, Gaunt, Zheng. Proteome-wide Mendelian randomization in global biobank meta-analysis reveals multi-ancestry drug targets for common diseases. Cell Genomics. 2022en_US
dc.identifier.cristinIDFRIDAID 2074065
dc.identifier.doi10.1016/j.xgen.2022.100195
dc.identifier.issn2666-979X
dc.identifier.urihttps://hdl.handle.net/10037/27867
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.journalCell Genomics
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titleProteome-wide Mendelian randomization in global biobank meta-analysis reveals multi-ancestry drug targets for common diseasesen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution 4.0 International (CC BY 4.0)
Med mindre det står noe annet, er denne innførselens lisens beskrevet som Attribution 4.0 International (CC BY 4.0)