抄録
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.
| 本文言語 | 英語 |
|---|---|
| ページ(範囲) | 390-400 |
| ページ数 | 11 |
| ジャーナル | Nature Genetics |
| 巻 | 50 |
| 号 | 3 |
| DOI | |
| 出版ステータス | 出版済み - 01-03-2018 |
UN SDG
この成果は、次の持続可能な開発目標に貢献しています
-
SDG 3 すべての人に健康と福祉を
All Science Journal Classification (ASJC) codes
- 遺伝学
フィンガープリント
「Genetic analysis of quantitative traits in the Japanese population links cell types to complex human diseases」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。引用スタイル
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver