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Article: Phenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases

TitlePhenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases
Authors
Issue Date2020
Citation
Nature Genetics, 2020, v. 52, n. 10, p. 1122-1131 How to Cite?
AbstractThe human proteome is a major source of therapeutic targets. Recent genetic association analyses of the plasma proteome enable systematic evaluation of the causal consequences of variation in plasma protein levels. Here we estimated the effects of 1,002 proteins on 225 phenotypes using two-sample Mendelian randomization (MR) and colocalization. Of 413 associations supported by evidence from MR, 130 (31.5%) were not supported by results of colocalization analyses, suggesting that genetic confounding due to linkage disequilibrium is widespread in naïve phenome-wide association studies of proteins. Combining MR and colocalization evidence in cis-only analyses, we identified 111 putatively causal effects between 65 proteins and 52 disease-related phenotypes (https://www.epigraphdb.org/pqtl/). Evaluation of data from historic drug development programs showed that target-indication pairs with MR and colocalization support were more likely to be approved, evidencing the value of this approach in identifying and prioritizing potential therapeutic targets.
Persistent Identifierhttp://hdl.handle.net/10722/324147
ISSN
2023 Impact Factor: 31.7
2023 SCImago Journal Rankings: 17.300
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZheng, Jie-
dc.contributor.authorHaberland, Valeriia-
dc.contributor.authorBaird, Denis-
dc.contributor.authorWalker, Venexia-
dc.contributor.authorHaycock, Philip C.-
dc.contributor.authorHurle, Mark R.-
dc.contributor.authorGutteridge, Alex-
dc.contributor.authorErola, Pau-
dc.contributor.authorLiu, Yi-
dc.contributor.authorLuo, Shan-
dc.contributor.authorRobinson, Jamie-
dc.contributor.authorRichardson, Tom G.-
dc.contributor.authorStaley, James R.-
dc.contributor.authorElsworth, Benjamin-
dc.contributor.authorBurgess, Stephen-
dc.contributor.authorSun, Benjamin B.-
dc.contributor.authorDanesh, John-
dc.contributor.authorRunz, Heiko-
dc.contributor.authorMaranville, Joseph C.-
dc.contributor.authorMartin, Hannah M.-
dc.contributor.authorYarmolinsky, James-
dc.contributor.authorLaurin, Charles-
dc.contributor.authorHolmes, Michael V.-
dc.contributor.authorLiu, Jimmy Z.-
dc.contributor.authorEstrada, Karol-
dc.contributor.authorSantos, Rita-
dc.contributor.authorMcCarthy, Linda-
dc.contributor.authorWaterworth, Dawn-
dc.contributor.authorNelson, Matthew R.-
dc.contributor.authorSmith, George Davey-
dc.contributor.authorButterworth, Adam S.-
dc.contributor.authorHemani, Gibran-
dc.contributor.authorScott, Robert A.-
dc.contributor.authorGaunt, Tom R.-
dc.date.accessioned2023-01-13T03:01:50Z-
dc.date.available2023-01-13T03:01:50Z-
dc.date.issued2020-
dc.identifier.citationNature Genetics, 2020, v. 52, n. 10, p. 1122-1131-
dc.identifier.issn1061-4036-
dc.identifier.urihttp://hdl.handle.net/10722/324147-
dc.description.abstractThe human proteome is a major source of therapeutic targets. Recent genetic association analyses of the plasma proteome enable systematic evaluation of the causal consequences of variation in plasma protein levels. Here we estimated the effects of 1,002 proteins on 225 phenotypes using two-sample Mendelian randomization (MR) and colocalization. Of 413 associations supported by evidence from MR, 130 (31.5%) were not supported by results of colocalization analyses, suggesting that genetic confounding due to linkage disequilibrium is widespread in naïve phenome-wide association studies of proteins. Combining MR and colocalization evidence in cis-only analyses, we identified 111 putatively causal effects between 65 proteins and 52 disease-related phenotypes (https://www.epigraphdb.org/pqtl/). Evaluation of data from historic drug development programs showed that target-indication pairs with MR and colocalization support were more likely to be approved, evidencing the value of this approach in identifying and prioritizing potential therapeutic targets.-
dc.languageeng-
dc.relation.ispartofNature Genetics-
dc.titlePhenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1038/s41588-020-0682-6-
dc.identifier.pmid32895551-
dc.identifier.scopuseid_2-s2.0-85090313097-
dc.identifier.volume52-
dc.identifier.issue10-
dc.identifier.spage1122-
dc.identifier.epage1131-
dc.identifier.eissn1546-1718-
dc.identifier.isiWOS:000566900800001-

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