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 × 10-8), 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.
journal_name
Nat Genetjournal_title
Nature geneticsauthors
Kanai M,Akiyama M,Takahashi A,Matoba N,Momozawa Y,Ikeda M,Iwata N,Ikegawa S,Hirata M,Matsuda K,Kubo M,Okada Y,Kamatani Ydoi
10.1038/s41588-018-0047-6subject
Has Abstractpub_date
2018-03-01 00:00:00pages
390-400issue
3eissn
1061-4036issn
1546-1718pii
10.1038/s41588-018-0047-6journal_volume
50pub_type
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