| Literature DB >> 33020668 |
Satoshi Koyama1, Kaoru Ito2, Chikashi Terao3, Masato Akiyama3,4, Momoko Horikoshi5, Yukihide Momozawa6, Hiroshi Matsunaga1,7, Hirotaka Ieki1,7, Kouichi Ozaki1,8, Yoshihiro Onouchi1,9, Atsushi Takahashi3,10, Seitaro Nomura7,11, Hiroyuki Morita7, Hiroshi Akazawa7, Changhoon Kim12, Jeong-Sun Seo12,13, Koichiro Higasa14,15, Motoki Iwasaki16, Taiki Yamaji16, Norie Sawada16, Shoichiro Tsugane17, Teruhide Koyama18, Hiroaki Ikezaki19, Naoyuki Takashima20,21, Keitaro Tanaka22, Kokichi Arisawa23, Kiyonori Kuriki24, Mariko Naito25,26, Kenji Wakai26, Shinichiro Suna27, Yasuhiko Sakata28, Hiroshi Sato29, Masatsugu Hori30, Yasushi Sakata27, Koichi Matsuda31, Yoshinori Murakami32, Hiroyuki Aburatani11, Michiaki Kubo33, Fumihiko Matsuda15, Yoichiro Kamatani34,35,36, Issei Komuro37.
Abstract
To elucidate the genetics of coronary artery disease (CAD) in the Japanese population, we conducted a large-scale genome-wide association study of 168,228 individuals of Japanese ancestry (25,892 cases and 142,336 controls) with genotype imputation using a newly developed reference panel of Japanese haplotypes including 1,781 CAD cases and 2,636 controls. We detected eight new susceptibility loci and Japanese-specific rare variants contributing to disease severity and increased cardiovascular mortality. We then conducted a trans-ancestry meta-analysis and discovered 35 additional new loci. Using the meta-analysis results, we derived a polygenic risk score (PRS) for CAD, which outperformed those derived from either Japanese or European genome-wide association studies. The PRS prioritized risk factors among various clinical parameters and segregated individuals with increased risk of long-term cardiovascular mortality. Our data improve the clinical characterization of CAD genetics and suggest the utility of trans-ancestry meta-analysis for PRS derivation in non-European populations.Entities:
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Year: 2020 PMID: 33020668 DOI: 10.1038/s41588-020-0705-3
Source DB: PubMed Journal: Nat Genet ISSN: 1061-4036 Impact factor: 38.330