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人类遗传变异数据库,一个关于日本人群体遗传变异的参考数据库。

Human genetic variation database, a reference database of genetic variations in the Japanese population.

作者信息

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

机构信息

Human Disease Genomics, Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.

Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan.

出版信息

J Hum Genet. 2016 Jun;61(6):547-53. doi: 10.1038/jhg.2016.12. Epub 2016 Feb 25.

Abstract

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/.

摘要

使用新一代测序仪进行全基因组和外显子组重测序是一种识别与疾病相关的基因组变异的强大方法。然而,由于尚未对群体特异性遗传变异频谱进行表征,从众多候选变异中筛选出致病变异以解释疾病表型的系统策略仍远未确立。在此,我们通过合作努力从1208名日本个体中收集了外显子组遗传变异,并将这些数据汇总成一个通用目录。我们总共鉴定出156622个先前未报道的变异。大多数变异(88.8%)的等位基因频率低于0.5%,并预计具有功能损害性。此外,我们构建了一个日本特异性的主要等位基因参考基因组,通过该基因组,我们数据中短读段的唯一映射数量平均增加了0.045%。我们的结果说明了构建特定种族参考基因组对于识别罕见变异的重要性。所有收集到的数据都集中到一个新开发的数据库中,作为探索致病变异的有用资源。可通过http://www.genome.med.kyoto-u.ac.jp/SnpDB/公开访问该数据库。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1756/4931044/b38ea2e50a6f/jhg201612f1.jpg

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