Deep whole-genome sequencing reveals recent selection signatures linked to evolution and disease risk of Japanese

Deep whole-genome sequencing reveals recent selection signatures linked to evolution and disease risk of Japanese

Recent natural selection left signals in human genomes. Here, Okada et al. generate high-depth whole-genome sequence (WGS) data (25.9×) from 2,234 Japanese people of the BioBank Japan Project (BBJ), and identify signals of recent natural selection which overlap variants associated with human traits....

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Autores principales: Yukinori Okada, Yukihide Momozawa, Saori Sakaue, Masahiro Kanai, Kazuyoshi Ishigaki, Masato Akiyama, Toshihiro Kishikawa, Yasumichi Arai, Takashi Sasaki, Kenjiro Kosaki, Makoto Suematsu, Koichi Matsuda, Kazuhiko Yamamoto, Michiaki Kubo, Nobuyoshi Hirose, Yoichiro Kamatani
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/a7100fc58b45430b96a43754e2ef8a43
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spelling oai:doaj.org-article:a7100fc58b45430b96a43754e2ef8a432021-12-02T15:34:42ZDeep whole-genome sequencing reveals recent selection signatures linked to evolution and disease risk of Japanese10.1038/s41467-018-03274-02041-1723https://doaj.org/article/a7100fc58b45430b96a43754e2ef8a432018-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-03274-0https://doaj.org/toc/2041-1723Recent natural selection left signals in human genomes. Here, Okada et al. generate high-depth whole-genome sequence (WGS) data (25.9×) from 2,234 Japanese people of the BioBank Japan Project (BBJ), and identify signals of recent natural selection which overlap variants associated with human traits.Yukinori OkadaYukihide MomozawaSaori SakaueMasahiro KanaiKazuyoshi IshigakiMasato AkiyamaToshihiro KishikawaYasumichi AraiTakashi SasakiKenjiro KosakiMakoto SuematsuKoichi MatsudaKazuhiko YamamotoMichiaki KuboNobuyoshi HiroseYoichiro KamataniNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-10 (2018)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Yukinori Okada
Yukihide Momozawa
Saori Sakaue
Masahiro Kanai
Kazuyoshi Ishigaki
Masato Akiyama
Toshihiro Kishikawa
Yasumichi Arai
Takashi Sasaki
Kenjiro Kosaki
Makoto Suematsu
Koichi Matsuda
Kazuhiko Yamamoto
Michiaki Kubo
Nobuyoshi Hirose
Yoichiro Kamatani
Deep whole-genome sequencing reveals recent selection signatures linked to evolution and disease risk of Japanese
description Recent natural selection left signals in human genomes. Here, Okada et al. generate high-depth whole-genome sequence (WGS) data (25.9×) from 2,234 Japanese people of the BioBank Japan Project (BBJ), and identify signals of recent natural selection which overlap variants associated with human traits.
format article
author Yukinori Okada
Yukihide Momozawa
Saori Sakaue
Masahiro Kanai
Kazuyoshi Ishigaki
Masato Akiyama
Toshihiro Kishikawa
Yasumichi Arai
Takashi Sasaki
Kenjiro Kosaki
Makoto Suematsu
Koichi Matsuda
Kazuhiko Yamamoto
Michiaki Kubo
Nobuyoshi Hirose
Yoichiro Kamatani
author_facet Yukinori Okada
Yukihide Momozawa
Saori Sakaue
Masahiro Kanai
Kazuyoshi Ishigaki
Masato Akiyama
Toshihiro Kishikawa
Yasumichi Arai
Takashi Sasaki
Kenjiro Kosaki
Makoto Suematsu
Koichi Matsuda
Kazuhiko Yamamoto
Michiaki Kubo
Nobuyoshi Hirose
Yoichiro Kamatani
author_sort Yukinori Okada
title Deep whole-genome sequencing reveals recent selection signatures linked to evolution and disease risk of Japanese
title_short Deep whole-genome sequencing reveals recent selection signatures linked to evolution and disease risk of Japanese
title_full Deep whole-genome sequencing reveals recent selection signatures linked to evolution and disease risk of Japanese
title_fullStr Deep whole-genome sequencing reveals recent selection signatures linked to evolution and disease risk of Japanese
title_full_unstemmed Deep whole-genome sequencing reveals recent selection signatures linked to evolution and disease risk of Japanese
title_sort deep whole-genome sequencing reveals recent selection signatures linked to evolution and disease risk of japanese
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/a7100fc58b45430b96a43754e2ef8a43
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