Genetic analysis of quantitative traits in the Japanese population links cell types to complex human diseases

被引:494
|
作者
Kanai, Masahiro [1 ,2 ,3 ]
Akiyama, Masato [2 ]
Takahashi, Atsushi [2 ,4 ]
Matoba, Nana [2 ]
Momozawa, Yukihide [5 ]
Ikeda, Masashi [6 ]
Iwata, Nakao [6 ]
Ikegawa, Shiro [7 ]
Hirata, Makoto [8 ]
Matsuda, Koichi [9 ]
Kubo, Michiaki [10 ]
Okada, Yukinori [1 ,2 ,11 ]
Kamatani, Yoichiro [2 ,12 ]
机构
[1] Osaka Univ, Grad Sch Med, Dept Stat Genet, Osaka, Japan
[2] RIKEN, Ctr Integrat Med Sci, Lab Stat Anal, Yokohama, Kanagawa, Japan
[3] Harvard Med Sch, Dept Biomed Informat, Boston, MA USA
[4] Natl Cerebral & Cardiovasc Ctr, Res Inst, Dept Genom Med, Osaka, Japan
[5] RIKEN, Ctr Integrat Med Sci, Lab Genotyping Dev, Yokohama, Kanagawa, Japan
[6] Fujita Hlth Univ, Sch Med, Dept Psychiat, Toyoake, Aichi, Japan
[7] RIKEN, Ctr Integrat Med Sci, Lab Bone & Joint Dis, Tokyo, Japan
[8] Univ Tokyo, Inst Med Sci, Tokyo, Japan
[9] Univ Tokyo, Grad Sch Frontier Sci, Tokyo, Japan
[10] RIKEN, Ctr Integrat Med Sci, Yokohama, Kanagawa, Japan
[11] Osaka Univ, Immunol Frontier Res Ctr WPI IFReC, Lab Stat Immunol, Osaka, Japan
[12] Kyoto Univ, Grad Sch Med, Ctr Genom Med, Kyoto, Japan
基金
日本学术振兴会;
关键词
GENOME-WIDE ASSOCIATION; LD SCORE REGRESSION; BODY-MASS INDEX; BLOOD-PRESSURE; MENDELIAN RANDOMIZATION; SUSCEPTIBILITY LOCI; RARE VARIANTS; COMMON; RISK; AUTOIMMUNE;
D O I
10.1038/s41588-018-0047-6
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
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 x 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.
引用
收藏
页码:390 / +
页数:16
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