Human genetic variation database, a reference database of genetic variations in the Japanese population View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-06

AUTHORS

Koichiro Higasa, Noriko Miyake, Jun Yoshimura, Kohji Okamura, Tetsuya Niihori, Hirotomo Saitsu, Koichiro Doi, Masakazu Shimizu, Kazuhiko Nakabayashi, Yoko Aoki, Yoshinori Tsurusaki, Shinichi Morishita, Takahisa Kawaguchi, Osuke Migita, Keiko Nakayama, Mitsuko Nakashima, Jun Mitsui, Maiko Narahara, Keiko Hayashi, Ryo Funayama, Daisuke Yamaguchi, Hiroyuki Ishiura, Wen-Ya Ko, Kenichiro Hata, Takeshi Nagashima, Ryo Yamada, Yoichi Matsubara, Akihiro Umezawa, Shoji Tsuji, Naomichi Matsumoto, Fumihiko Matsuda

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/. More... »

PAGES

547

References to SciGraph publications

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/jhg.2016.12

    DOI

    http://dx.doi.org/10.1038/jhg.2016.12

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1016186613

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/26911352


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