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Human genetic variation database, a reference database of genetic variations in the Japanese population
Whole-genome and -exome resequencing using next-generation sequencers is a powerful approach for identifying genomic variations that are associated with diseases. However, systematic strategies for prioritizing causative variants from many candidates to explain the disease phenotype are still far fr...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4931044/ https://www.ncbi.nlm.nih.gov/pubmed/26911352 http://dx.doi.org/10.1038/jhg.2016.12 |
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author | Higasa, Koichiro Miyake, Noriko Yoshimura, Jun Okamura, Kohji Niihori, Tetsuya Saitsu, Hirotomo Doi, Koichiro Shimizu, Masakazu Nakabayashi, Kazuhiko Aoki, Yoko Tsurusaki, Yoshinori Morishita, Shinichi Kawaguchi, Takahisa Migita, Osuke Nakayama, Keiko Nakashima, Mitsuko Mitsui, Jun Narahara, Maiko Hayashi, Keiko Funayama, Ryo Yamaguchi, Daisuke Ishiura, Hiroyuki Ko, Wen-Ya Hata, Kenichiro Nagashima, Takeshi Yamada, Ryo Matsubara, Yoichi Umezawa, Akihiro Tsuji, Shoji Matsumoto, Naomichi Matsuda, Fumihiko |
author_facet | Higasa, Koichiro Miyake, Noriko Yoshimura, Jun Okamura, Kohji Niihori, Tetsuya Saitsu, Hirotomo Doi, Koichiro Shimizu, Masakazu Nakabayashi, Kazuhiko Aoki, Yoko Tsurusaki, Yoshinori Morishita, Shinichi Kawaguchi, Takahisa Migita, Osuke Nakayama, Keiko Nakashima, Mitsuko Mitsui, Jun Narahara, Maiko Hayashi, Keiko Funayama, Ryo Yamaguchi, Daisuke Ishiura, Hiroyuki Ko, Wen-Ya Hata, Kenichiro Nagashima, Takeshi Yamada, Ryo Matsubara, Yoichi Umezawa, Akihiro Tsuji, Shoji Matsumoto, Naomichi Matsuda, Fumihiko |
author_sort | Higasa, Koichiro |
collection | PubMed |
description | Whole-genome and -exome resequencing using next-generation sequencers is a powerful approach for identifying genomic variations that are associated with diseases. However, systematic strategies for prioritizing causative variants from many candidates to explain the disease phenotype are still far from being established, because the population-specific frequency spectrum of genetic variation has not been characterized. Here, we have collected exomic genetic variation from 1208 Japanese individuals through a collaborative effort, and aggregated the data into a prevailing catalog. In total, we identified 156 622 previously unreported variants. The allele frequencies for the majority (88.8%) were lower than 0.5% in allele frequency and predicted to be functionally deleterious. In addition, we have constructed a Japanese-specific major allele reference genome by which the number of unique mapping of the short reads in our data has increased 0.045% on average. Our results illustrate the importance of constructing an ethnicity-specific reference genome for identifying rare variants. All the collected data were centralized to a newly developed database to serve as useful resources for exploring pathogenic variations. Public access to the database is available at http://www.genome.med.kyoto-u.ac.jp/SnpDB/. |
format | Online Article Text |
id | pubmed-4931044 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49310442016-07-14 Human genetic variation database, a reference database of genetic variations in the Japanese population Higasa, Koichiro Miyake, Noriko Yoshimura, Jun Okamura, Kohji Niihori, Tetsuya Saitsu, Hirotomo Doi, Koichiro Shimizu, Masakazu Nakabayashi, Kazuhiko Aoki, Yoko Tsurusaki, Yoshinori Morishita, Shinichi Kawaguchi, Takahisa Migita, Osuke Nakayama, Keiko Nakashima, Mitsuko Mitsui, Jun Narahara, Maiko Hayashi, Keiko Funayama, Ryo Yamaguchi, Daisuke Ishiura, Hiroyuki Ko, Wen-Ya Hata, Kenichiro Nagashima, Takeshi Yamada, Ryo Matsubara, Yoichi Umezawa, Akihiro Tsuji, Shoji Matsumoto, Naomichi Matsuda, Fumihiko J Hum Genet Original Article Whole-genome and -exome resequencing using next-generation sequencers is a powerful approach for identifying genomic variations that are associated with diseases. However, systematic strategies for prioritizing causative variants from many candidates to explain the disease phenotype are still far from being established, because the population-specific frequency spectrum of genetic variation has not been characterized. Here, we have collected exomic genetic variation from 1208 Japanese individuals through a collaborative effort, and aggregated the data into a prevailing catalog. In total, we identified 156 622 previously unreported variants. The allele frequencies for the majority (88.8%) were lower than 0.5% in allele frequency and predicted to be functionally deleterious. In addition, we have constructed a Japanese-specific major allele reference genome by which the number of unique mapping of the short reads in our data has increased 0.045% on average. Our results illustrate the importance of constructing an ethnicity-specific reference genome for identifying rare variants. All the collected data were centralized to a newly developed database to serve as useful resources for exploring pathogenic variations. Public access to the database is available at http://www.genome.med.kyoto-u.ac.jp/SnpDB/. Nature Publishing Group 2016-06 2016-02-25 /pmc/articles/PMC4931044/ /pubmed/26911352 http://dx.doi.org/10.1038/jhg.2016.12 Text en Copyright © 2016 The Japan Society of Human Genetics http://creativecommons.org/licenses/by-nc-sa/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ |
spellingShingle | Original Article Higasa, Koichiro Miyake, Noriko Yoshimura, Jun Okamura, Kohji Niihori, Tetsuya Saitsu, Hirotomo Doi, Koichiro Shimizu, Masakazu Nakabayashi, Kazuhiko Aoki, Yoko Tsurusaki, Yoshinori Morishita, Shinichi Kawaguchi, Takahisa Migita, Osuke Nakayama, Keiko Nakashima, Mitsuko Mitsui, Jun Narahara, Maiko Hayashi, Keiko Funayama, Ryo Yamaguchi, Daisuke Ishiura, Hiroyuki Ko, Wen-Ya Hata, Kenichiro Nagashima, Takeshi Yamada, Ryo Matsubara, Yoichi Umezawa, Akihiro Tsuji, Shoji Matsumoto, Naomichi Matsuda, Fumihiko Human genetic variation database, a reference database of genetic variations in the Japanese population |
title | Human genetic variation database, a reference database of genetic variations in the Japanese population |
title_full | Human genetic variation database, a reference database of genetic variations in the Japanese population |
title_fullStr | Human genetic variation database, a reference database of genetic variations in the Japanese population |
title_full_unstemmed | Human genetic variation database, a reference database of genetic variations in the Japanese population |
title_short | Human genetic variation database, a reference database of genetic variations in the Japanese population |
title_sort | human genetic variation database, a reference database of genetic variations in the japanese population |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4931044/ https://www.ncbi.nlm.nih.gov/pubmed/26911352 http://dx.doi.org/10.1038/jhg.2016.12 |
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