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Genetic Analysis of Quantitative Traits in the Japanese Population Links Cell Types to Complex Human Diseases

Overview
Journal Nat Genet
Specialty Genetics
Date 2018 Feb 7
PMID 29403010
Citations 413
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Abstract

Clinical measurements can be viewed as useful intermediate phenotypes to promote understanding of complex human diseases. To acquire comprehensive insights into the underlying genetics, here we conducted a genome-wide association study (GWAS) of 58 quantitative traits in 162,255 Japanese individuals. Overall, we identified 1,407 trait-associated loci (P < 5.0 × 10), 679 of which were novel. By incorporating 32 additional GWAS results for complex diseases and traits in Japanese individuals, we further highlighted pleiotropy, genetic correlations, and cell-type specificity across quantitative traits and diseases, which substantially expands the current understanding of the associated genetics and biology. This study identified both shared polygenic effects and cell-type specificity, represented by the genetic links among clinical measurements, complex diseases, and relevant cell types. Our findings demonstrate that even without prior biological knowledge of cross-phenotype relationships, genetics corresponding to clinical measurements successfully recapture those measurements' relevance to diseases, and thus can contribute to the elucidation of unknown etiology and pathogenesis.

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References
1.
Wood A, Esko T, Yang J, Vedantam S, Pers T, Gustafsson S . Defining the role of common variation in the genomic and biological architecture of adult human height. Nat Genet. 2014; 46(11):1173-86. PMC: 4250049. DOI: 10.1038/ng.3097. View

2.
Locke A, Kahali B, Berndt S, Justice A, Pers T, Day F . Genetic studies of body mass index yield new insights for obesity biology. Nature. 2015; 518(7538):197-206. PMC: 4382211. DOI: 10.1038/nature14177. View

3.
Akiyama M, Okada Y, Kanai M, Takahashi A, Momozawa Y, Ikeda M . Genome-wide association study identifies 112 new loci for body mass index in the Japanese population. Nat Genet. 2017; 49(10):1458-1467. DOI: 10.1038/ng.3951. View

4.
Willer C, Schmidt E, Sengupta S, Peloso G, Gustafsson S, Kanoni S . Discovery and refinement of loci associated with lipid levels. Nat Genet. 2013; 45(11):1274-1283. PMC: 3838666. DOI: 10.1038/ng.2797. View

5.
Surakka I, Horikoshi M, Magi R, Sarin A, Mahajan A, Lagou V . The impact of low-frequency and rare variants on lipid levels. Nat Genet. 2015; 47(6):589-97. PMC: 4757735. DOI: 10.1038/ng.3300. View