| Literature DB >> 29192238 |
Yumi Yamaguchi-Kabata1,2, Jun Yasuda3,4, Osamu Tanabe3,4, Yoichi Suzuki3,4,5, Hiroshi Kawame3,4, Nobuo Fuse3,4, Masao Nagasaki3,4,6, Yosuke Kawai3,4, Kaname Kojima3,4, Fumiki Katsuoka3,4, Sakae Saito3,4, Inaho Danjoh3,4, Ikuko N Motoike3,4,6, Riu Yamashita3,4,6, Seizo Koshiba3,4, Daisuke Saigusa3,4, Gen Tamiya3,4,7, Shigeo Kure3,4, Nobuo Yaegashi3,4, Yoshio Kawaguchi3, Fuji Nagami3, Shinichi Kuriyama3,4,8, Junichi Sugawara3,4, Naoko Minegishi3,4, Atsushi Hozawa3,4, Soichi Ogishima3,4, Hideyasu Kiyomoto3,4,9, Takako Takai-Igarashi3,4, Kengo Kinoshita10,11,12, Masayuki Yamamoto3,4.
Abstract
Clarifying allele frequencies of disease-related genetic variants in a population is important in genomic medicine; however, such data is not yet available for the Japanese population. To estimate frequencies of actionable pathogenic variants in the Japanese population, we examined the reported pathological variants in genes recommended by the American College of Medical Genetics and Genomics (ACMG) in our reference panel of genomic variations, 2KJPN, which was created by whole-genome sequencing of 2049 individuals of the resident cohort of the Tohoku Medical Megabank Project. We searched for pathogenic variants in 2KJPN for 57 autosomal ACMG-recommended genes responsible for 26 diseases and then examined their frequencies. By referring to public databases of pathogenic variations, we identified 143 reported pathogenic variants in 2KJPN for the 57 ACMG recommended genes based on a classification system. At the individual level, 21% of the individuals were found to have at least one reported pathogenic allele. We then conducted a literature survey to review the variants and to check for evidence of pathogenicity. Our results suggest that a substantial number of people have reported pathogenic alleles for the ACMG genes, and reviewing variants is indispensable for constructing the information infrastructure of genomic medicine for the Japanese population.Entities:
Mesh:
Year: 2017 PMID: 29192238 DOI: 10.1038/s10038-017-0347-1
Source DB: PubMed Journal: J Hum Genet ISSN: 1434-5161 Impact factor: 3.172