| Co-Investigator(Kenkyū-buntansha) |
鎌谷 洋一郎 京都大学, 医学研究科, 准教授 (00720880)
浦山 ケビン 国立研究開発法人国立成育医療研究センター, 社会医学研究部, 部長 (60726850)
川上 英良 国立研究開発法人理化学研究所, 科技ハブ産連本部, ユニットリーダー (30725338)
藤本 明洋 京都大学, 医学研究科, 特定准教授 (30525853)
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| Budget Amount *help |
¥71,500,000 (Direct Cost: ¥55,000,000、Indirect Cost: ¥16,500,000)
Fiscal Year 2019: ¥13,910,000 (Direct Cost: ¥10,700,000、Indirect Cost: ¥3,210,000)
Fiscal Year 2018: ¥13,910,000 (Direct Cost: ¥10,700,000、Indirect Cost: ¥3,210,000)
Fiscal Year 2017: ¥13,910,000 (Direct Cost: ¥10,700,000、Indirect Cost: ¥3,210,000)
Fiscal Year 2016: ¥13,910,000 (Direct Cost: ¥10,700,000、Indirect Cost: ¥3,210,000)
Fiscal Year 2015: ¥15,860,000 (Direct Cost: ¥12,200,000、Indirect Cost: ¥3,660,000)
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| Outline of Final Research Achievements |
By integrating large-scale human disease genome data with a variety of tissue-specific human epigenome resources, one can obtain substantial information on disease biology, personalized medicine, and genome drug discovery. In this project, we expanded the field of statistical genetics in Japan into a wide range of bioinformatics analyses. High-resolution mapping of the human leukocyte antigen (HLA) gene alleles using next-generation sequencing technologies elucidated detailed distributions of alleles of both classical and non-classical HLA genes in the Japanese population. Trans-layer omics analysis integrating human disease genomes and tissue-specific epigenome data highlighted hidden tissue-specificity in human diseases (e.g., contribution of regulatory T cells and central nerve system cells on Graves’ disease and obesity, respectively). Our project contributed to development of young Japanese researchers in the field of statistical genetics.
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