TY - JOUR
T1 - Genetic analysis of quantitative traits in the Japanese population links cell types to complex human diseases
AU - Kanai, Masahiro
AU - Akiyama, Masato
AU - Takahashi, Atsushi
AU - Matoba, Nana
AU - Momozawa, Yukihide
AU - Ikeda, Masashi
AU - Iwata, Nakao
AU - Ikegawa, Shiro
AU - Hirata, Makoto
AU - Matsuda, Koichi
AU - Kubo, Michiaki
AU - Okada, Yukinori
AU - Kamatani, Yoichiro
N1 - Funding Information:
We acknowledge the staff of BBJ for their outstanding assistance in collecting samples and clinical information. We also thank the Tohoku Medical Megabank Project, the Japan Public Health Center-based Prospective (JPHC) Study, and the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study for their invaluable contributions to the casecontrol studies used in this study. We thank the staff of the Japan Scoliosis Clinical Research Group (JSCRG) for their support in recruiting patients to the AIS GWAS used in this study. We are grateful to H. Finucane for helpful discussions and assistance with LD score regression analysis. This research was supported by the Tailor-Made Medical Treatment Program (the BioBank Japan Project) of the Ministry of Education, Culture, Sports, Science, and Technology (MEXT) and the Japan Agency for Medical Research and Development (AMED). The study of psychiatric disorders was supported by the Strategic Research Program for Brain Sciences (SRPBS) of AMED. M. Kanai was supported by a Nakajima Foundation Fellowship. Y.O. was supported by the Japan Society for the Promotion of Science (JSPS) KAKENHI (grants 15H05670, 15H05907, 15H05911, 15K14429, 16H03269, and 16K15738), AMED (grants 16km0405206h0001, 16gm6010001h0001, and 17ek0410041h0001), Takeda Science Foundation, the Uehara Memorial Foundation, the Naito Foundation, Daiichi Sankyo Foundation of Life Science, and Senri Life Science Foundation.
Funding Information:
We acknowledge the staff of BBJ for their outstanding assistance in collecting samples and clinical information. We also thank the Tohoku Medical Megabank Project, the Japan Public Health Center–based Prospective (JPHC) Study, and the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study for their invaluable contributions to the case-control studies used in this study. We thank the staff of the Japan Scoliosis Clinical Research Group (JSCRG) for their support in recruiting patients to the AIS GWAS used in this study. We are grateful to H. Finucane for helpful discussions and assistance with LD score regression analysis. This research was supported by the Tailor-Made Medical Treatment Program (the BioBank Japan Project) of the Ministry of Education, Culture, Sports, Science, and Technology (MEXT) and the Japan Agency for Medical Research and Development (AMED). The study of psychiatric disorders was supported by the Strategic Research Program for Brain Sciences (SRPBS) of AMED. M. Kanai was supported by a Nakajima Foundation Fellowship. Y.O. was supported by the Japan Society for the Promotion of Science (JSPS) KAKENHI (grants 15H05670, 15H05907, 15H05911, 15K14429, 16H03269, and 16K15738), AMED (grants 16km0405206h0001, 16gm6010001h0001, and 17ek0410041h0001), Takeda Science Foundation, the Uehara Memorial Foundation, the Naito Foundation, Daiichi Sankyo Foundation of Life Science, and Senri Life Science Foundation.
Publisher Copyright:
© 2018 The Author(s).
PY - 2018/3/1
Y1 - 2018/3/1
N2 - 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.
AB - 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.
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U2 - 10.1038/s41588-018-0047-6
DO - 10.1038/s41588-018-0047-6
M3 - Article
C2 - 29403010
AN - SCOPUS:85041590577
SN - 1061-4036
VL - 50
SP - 390
EP - 400
JO - Nature genetics
JF - Nature genetics
IS - 3
ER -