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- W2401811918 abstract "Joseph Pickrell and colleagues analyze genome-wide association data for 42 human phenotypes or diseases and identify several hundred loci influencing multiple traits. They also find several traits with overlapping genetic architectures as well as pairs of traits showing evidence of a causal relationship. We performed a scan for genetic variants associated with multiple phenotypes by comparing large genome-wide association studies (GWAS) of 42 traits or diseases. We identified 341 loci (at a false discovery rate of 10%) associated with multiple traits. Several loci are associated with multiple phenotypes; for example, a nonsynonymous variant in the zinc transporter SLC39A8 influences seven of the traits, including risk of schizophrenia (rs13107325: log-transformed odds ratio (log OR) = 0.15, P = 2 × 10−12) and Parkinson disease (log OR = −0.15, P = 1.6 × 10−7), among others. Second, we used these loci to identify traits that have multiple genetic causes in common. For example, variants associated with increased risk of schizophrenia also tended to be associated with increased risk of inflammatory bowel disease. Finally, we developed a method to identify pairs of traits that show evidence of a causal relationship. For example, we show evidence that increased body mass index causally increases triglyceride levels." @default.
- W2401811918 created "2016-06-24" @default.
- W2401811918 creator A5023700162 @default.
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- W2401811918 creator A5067189241 @default.
- W2401811918 creator A5086133785 @default.
- W2401811918 date "2016-05-16" @default.
- W2401811918 modified "2023-10-14" @default.
- W2401811918 title "Detection and interpretation of shared genetic influences on 42 human traits" @default.
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- W2401811918 doi "https://doi.org/10.1038/ng.3570" @default.
- W2401811918 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5207801" @default.
- W2401811918 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/27681293" @default.
- W2401811918 hasPublicationYear "2016" @default.