Linking protein to phenotype with Mendelian Randomization detects 38 proteins with causal roles in h...
Linking protein to phenotype with Mendelian Randomization detects 38 proteins with causal roles in human diseases and traits
About this item
Full title
Author / Creator
Bretherick, Andrew D , Canela-Xandri, Oriol , Joshi, Peter K , Clark, David W , Rawlik, Konrad , Boutin, Thibaud S , Zeng, Yanni , Amador, Carmen , Navarro, Pau , Rudan, Igor , Wright, Alan F , Campbell, Harry , Vitart, Veronique , Hayward, Caroline , Wilson, James F , Tenesa, Albert , Ponting, Chris P , Baillie, J Kenneth and Haley, Chris
Publisher
United States: Public Library of Science
Journal title
Language
English
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Publication information
Publisher
United States: Public Library of Science
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Scope and Contents
Contents
To efficiently transform genetic associations into drug targets requires evidence that a particular gene, and its encoded protein, contribute causally to a disease. To achieve this, we employ a three-step proteome-by-phenome Mendelian Randomization (MR) approach. In step one, 154 protein quantitative trait loci (pQTLs) were identified and independe...
Alternative Titles
Full title
Linking protein to phenotype with Mendelian Randomization detects 38 proteins with causal roles in human diseases and traits
Authors, Artists and Contributors
Author / Creator
Canela-Xandri, Oriol
Joshi, Peter K
Clark, David W
Rawlik, Konrad
Boutin, Thibaud S
Zeng, Yanni
Amador, Carmen
Navarro, Pau
Rudan, Igor
Wright, Alan F
Campbell, Harry
Vitart, Veronique
Hayward, Caroline
Wilson, James F
Tenesa, Albert
Ponting, Chris P
Baillie, J Kenneth
Haley, Chris
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_plos_journals_2434498773
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2434498773
Other Identifiers
ISSN
1553-7404,1553-7390
E-ISSN
1553-7404
DOI
10.1371/journal.pgen.1008785
