研究者詳細

顔写真

アンザワ　ハヤト
安澤　隼人
Hayato Anzawa
所属
大学院情報科学研究科　応用情報科学専攻　応用生命情報学講座（生命情報システム科学分野）
職名
助教
学位

  • 博士（情報科学）（東北大学）

  • 修士（情報科学）（東北大学）

所属学協会 1

  • 日本バイオインフォマティクス学会

    2024年 ～ 継続中

研究分野 1

  • 情報通信 / 生命、健康、医療情報学 /

論文 14

  1. C4S DB: Comprehensive Collection and Comparison for ChIP-Seq Database 査読有り

    Hayato Anzawa, Kengo Kinoshita

    Journal of Molecular Biology　435　(14)　168157-168157　2023年7月24日

    出版者・発行元： Elsevier {BV}

    DOI： 10.1016/j.jmb.2023.168157 　

    ISSN：0022-2836

  2. Theoretical characterisation of strand cross-correlation in ChIP-seq 国際誌 査読有り

    Hayato Anzawa, Hitoshi Yamagata, Kengo Kinoshita

    BMC Bioinformatics　21　(1)　2020年7月24日

    出版者・発行元： Springer Science and Business Media LLC

    DOI： 10.21203/rs.2.16602/v3 　

    ISSN：1471-2105

    eISSN：1471-2105

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    Abstract Background Strand cross-correlation profiles are used for both peak calling pre-analysis and quality control (QC) in chromatin immunoprecipitation followed by sequencing (ChIP-seq) analysis. Despite its potential for robust and accurate assessments of signal-to-noise ratio (S/N) because of its peak calling independence, it remains unclear what aspects of quality such strand cross-correlation profiles actually measure. Results We introduced a simple model to simulate the mapped read-density of ChIP-seq and then derived the theoretical maximum and minimum of cross-correlation coefficients between strands. The results suggest that the maximum coefficient of typical ChIP-seq samples is directly proportional to the number of total mapped reads and the square of the ratio of signal reads, and inversely proportional to the number of peaks and the length of read-enriched regions. Simulation analysis supported our results and evaluation using 790 ChIP-seq data obtained from the public database demonstrated high consistency between calculated cross-correlation coefficients and estimated coefficients based on the theoretical relations and peak calling results. In addition, we found that the mappability-bias-correction improved sensitivity, enabling differentiation of maximum coefficients from the noise level. Based on these insights, we proposed virtual S/N (VSN), a novel peak call-free metric for S/N assessment. We also developed PyMaSC, a tool to calculate strand cross-correlation and VSN efficiently. VSN achieved most consistent S/N estimation for various ChIP targets and sequencing read depths. Furthermore, we demonstrated that a combination of VSN and pre-existing peak calling results enable the estimation of the numbers of detectable peaks for posterior experiments and assess peak calling results. Conclusions We present the first theoretical insights into the strand cross-correlation, and the results reveal the potential and the limitations of strand cross-correlation analysis. Our quality assessment framework using VSN provides peak call-independent QC and will help in the evaluation of peak call analysis in ChIP-seq experiments.

  3. Simulating metabolic pathways to enhance interpretations of metabolome genome-wide association studies

    Shun Kodate, Mitsuharu Sato, Eiji Hishinuma, Kaname Kojima, Ikuko N. Motoike, Hikaru Abe, Michiaki Abe, Momoka Abe, Naomi Abe, Noriko Abe, Tomomi Abe, Yuto Abe, Shizuko Ahiko, Kayo Aiki, Hiromi Aizawa, Yukari Akiyama, Hayato Anzawa, Eri Aoki, Yuichi Aoki, Hiroko Arai, Misaki Arakawa, Yukie Asano, Liam Baird, Ayano Chiba, Haruna Chiba, Ippei Chiba, Kenji Chiba, Tetsuo Chiba, Hisako Endo, Reika Fue, Futaba Fujishiro, Yayoi Fujita, Waka Fukunaga, Mami Funata, Takamitsu Funayama, Sho Furuhashi, Nobuo Fuse, Junko Fushimi, Kumiko Fushiya, Tomomi Gamo, Chinatsu Gocho, Katsuhiro Gonoi, Maki Goto, Takahiko Goto, Yukie Goto, Kaori Gouko, Michiko Haga, Yoko Haga, Hiroko Hamada, Yumiko Hamaie, Yohei Hamanaka, Mika Hanazawa, Yukari Hara, Atsushi Hasegawa, Asuka Hatakeyama, Sumika Hatakeyama, Nozomi Hatanaka, Rieko Hatanaka, Takanori Hidaka, Kenji Hino, Hiroe Hirama, Ikuo Hirano, Sachiko Hirano, Takumi Hirata, Masahiro Hiratsuka, Yuki Hiratsuka, Ikuko Hirayama, Takako Hoshi, Atsushi Hozawa, Keisuke Ido, Nobuko Igari, Chikako Iida, Katsuko Imai, Makiko Inoue, Reiko Inoue, Rumi Irie, Motoko Ishida, Noriko Ishida, Eri Ishigaka, Chihiro Ishii, Kaori Ishii, Osamu Ishii, Tadashi Ishii, Tatsuro Ishikawa, Mami Ishikuro, Kazutoshi Ishimori, Miho Itabashi, Kumiko Ito, Maiko Ito, Masumi Ito, Mayumi Ito, Megumi Ito, Natsuko Ito, Rie Ito, Saori Ito, Fumihiko Iwabuchi, Maki Iwabuchi, Yoko Izumi, Yoshiko Izumi, Masataka Kambe, Takanari Kanno, Mayu Kano, Naoko Kasahara, Hinako Kashiwa, Kiyomi Katahira, Mayumi Kato, Yukie Kato, Fumiki Katsuoka, Takeshi Kawabata, Rika Kawada, Aoi Kawagoe, Hiroshi Kawame, Junko Kawashima, Yukako Kawashima, Junko Kikuchi, Tsuyoshi Kikukawa, Masahiro Kikuya, Masae Kimura, Michiko Kimura, Ikuko Kishi, Tomoko Kishimoto, Tamie Kitaura, Mika Kobayashi, Tadao Kobayashi, Tomoko Kobayashi, Eiichi Kodama, Shun Kodate, Mana Kogure, Toshisada Kohagizawa, Naomi Kohketsu, Noa Koida, Chie Koide, Mika Koide, Toshihiko Koike, Junko Komatsu, Ayumi Kondo, Riyo Konno, Yukie Konno, Sachie Koreeda, Seizo Koshiba, Takuya Koyama, Hisaaki Kudo, Kazuki Kumada, Ryoko Kumadaki, Rika Kumagai, Toshie Kumagai, Yuko Kumagai, Yasuto Kunii, Miho Kuriki, Shinichi Kuriyama, Emiko Kurokawa, Seiko Kurota, Hisako Kusano, Bin Li, Donghan Li, Xue Li, Kanako Maeshibu, Keiko Maeta, Satoshi Makino, Hiroko Matsubara, Naomi Matsukawa, Masako Matsumoto, Takako Matsuoka, Yuka Matsushita, Motomichi Matsuzaki, Hirohito Metoki, Sayaka Minakawa, Yuki Minami, Kyoko Mitate, Satomi Mito, Ayako Miura, Noriko Miura, Ryo Miyagi, Akiko Miyazawa, Satoshi Mizuno, Akiko Mochida, Mika Momii, Hiroko Mori, Naoko Mori, Hozumi Motohashi, Ikuko Motoike, Shunji Mugikura, Keiko Murakami, Takahisa Murakami, Masato Nagai, Satoshi Nagaie, Fuji Nagami, Toko Naganuma, Tatsuo Nagasaka, Sachiko Nagase, Kumiko Nakagawa, Taku Nakai, Noriko Nakajo, Kyoko Nakamichi, Chie Nakamura, Naoki Nakamura, Tomohiro Nakamura, Yuko Nakasato, Kumi Nakaya, Naoki Nakaya, Kei Nanatani, Akira Narita, Yuka Narita, Yasuhisa Nemoto, Hafumi Nishi, Kohji Nishida, Ichiko Nishijima, Momo Nishiyama, Takahiro Nobukuni, Kotaro Nochioka, Aoi Noda, Kenichi Noguchi, Kiriko Nozoe, Rie Nunokawa, Taku Obara, Tomoko Obara, Kaori Ogasawara, Satoru Ogawa, Soichi Ogishima, Natsuki Oguma, Nahoko Ohi, Namiko Ohisa, Kinuko Ohneda, Hayami Ohori, Miri Oikawa, Yumi Oikawa, Yumiko Ojima, Yumi Okada, Yasunobu Okamura, Hiroshi Okuda, Mitsuko Okuda, Ayako Okumoto, Akane Ono, Chiaki Ono, Genki Onodera, Kaname Onodera, Masako Onodera, Midori Onuma, Tomomi Onuma, Keiichiro Oohashi, Masumi Oomachi, Kazuya Ootomo, Yukie Oouchi, Masatsugu Orui, Mayumi Osada, Tamae Osanai, Reiko Ota, Noriko Otake, Sumie Otomo, Akihito Otsuki, Yoko Otsuki, Yuki Oyama, Keiko Oyamada, Yoko Ozawa, Satomi Obara, Daisuke Saigusa, Asami Saito, Hisako Saito, Kazue Saito, Manami Saito, Megumi Saito, Ritsumi Saito, Sakae Saito, Tomo Saito, Yoko Saito, Yuki Saito, Yoshinobu Saitoh, Hiroko Sakai, Masaki Sakaida, Hiroshi Sakamono, Hiromi Sakamoto, Kana Sakamoto, Mia Sakamoto, Kasumi Sakurai, Miyuki Sakurai, Rieko Sakurai, Mika Yageta, Kana Sasaki, Miho Sasaki, Tadashi Sasaki, Yukari Sasaki, Yukie Sasaki, Chika Sato, Hirokazu Sato, Michiyo Sato, Miho Sato, Miu Sato, Naoko Sato, Reiko Sato, Satoshi Sato, Shiho Sato, Taku Sato, Yoshiko Sato, Youko Sato, Yui Sato, Michihiro Satoh, Ayako Sekiya, Mariko Seo, Yoshiko Shima, Muneaki Shimada, Atsushi Shimizu, Ritsuko Shimizu, Genki Shinoda, Nobuyuki Shirakawa, Matsuyuki Shirota, Hiroe Shoji, Ikuko Shoji, Mariko Shoji, Midori Shoji, Wakako Shoji, Satomi Someya, Shinya Sonobe, Itsumi Sou, Rie Suenaga, Yasuko Suenaga, Mayumi Suga, Rika Sugai, Junichi Sugawara, Megumi Sugawara, Michiko Sugawara, Nanako Sugawara, Saori Sugawara, Yuki Sugawara, Sachiyo Sugimoto, Airi Suzuki, Ayano Suzuki, Keiko Suzuki, Michirou Suzuki, Mikiko Suzuki, Norio Suzuki, Rie Suzuki, Ryoko Suzuki, Takafumi Suzuki, Tatsuya Suzuki, Yoichi Suzuki, Shu Tadaka, Keiko Taguchi, Nozomi Taiji, Makiko Taira, Kaori Takagi, Emi Takahashi, Harumi Takahashi, Junko Takahashi, Megumi Takahashi, Noriko Takahashi, Rieko Takahashi, Yukiko Takahashi, Mayuko Takasawa, Masato Takase, Jun Takayama, Miho Takeuchi, Sayaka Takita, Toru Tamahara, Gen Tamiya, Naomi Tamura, Akari Tanaka, Saiko Tanaka, Chihiro Tanno, Naoko Tanno, Keiko Tateno, Minoru Tateno, Chika Terui, Mihoko Toki, Sayuri Tokioka, Etsuko Tomita, Hiroaki Tomita, Mai Tomizuka, Naho Tsuchiya, Miyuki Tsuda, Tomomi Tsumuraya, Junko Tsunasawa, Issei Tsunoda, Juri Uchiya, Akiko Ueda, Yuriko Ueki, Fumihiko Ueno, Keiko Umeda, Akira Uruno, Ikuko Wada, Tomoko Wada, Mika Wagatsuma, Hitoshi Watanabe, Kanako Watanabe, Kazue Watanabe, Nobuo Yaegashi, Mika Yagyu, Etsuko Yamada, Yumi Kabata, Hiroko Yamamoto, Masayuki Yamamoto, Yukari Yamauchi, Mika Yamazaki, Jun Yasuda, Hang Yin, Hiroshi Yokota, Manami Yokoyama, Marie Yokoyama, Tomoko Yokoyama, Yuko Yoshida, Mizue Yoshino, Zhiqian Yu, Lin Zhang, Seizo Koshiba, Masayuki Yamamoto, Kazunori D. Yamada, Kengo Kinoshita

    Scientific Reports　15　(1)　2025年5月16日

    出版者・発行元： Springer Science and Business Media LLC

    DOI： 10.1038/s41598-025-01634-7 　

    eISSN：2045-2322

  4. Profiling of runs of homozygosity from whole-genome sequence data in Japanese biobank 査読有り

    Aye Ko Ko Minn, Motomichi Matsuzaki, Akira Narita, Takamitsu Funayama, Yurii Kotsar, Satoshi Makino, Jun Takayama, Hikaru Abe, Michiaki Abe, Momoka Abe, Naomi Abe, Noriko Abe, Tomomi Abe, Yuto Abe, Shizuko Ahiko, Kayo Aiki, Hiromi Aizawa, Yukari Akiyama, Hayato Anzawa, Eri Aoki, Yuichi Aoki, Hiroko Arai, Misaki Arakawa, Yukie Asano, Liam Baird, Ayano Chiba, Haruna Chiba, Ippei Chiba, Kenji Chiba, Keiko Chida, Inaho Danjoh, Hisako Endo, Reika Fue, Futaba Fujishiro, Yayoi Fujita, Waka Fukunaga, Takuo Fukushi, Mami Funata, Takamitsu Funayama, Sho Furuhashi, Nobuo Fuse, Kumiko Fushiya, Tomomi Gamo, Chinatsu Gocho, Katsuhiro Gonoi, Maki Goto, Takahiko Goto, Yukie Goto, Kaori Gouko, Michiko Haga, Yoko Haga, Yuko Hamada, Yohei Hamanaka, Mika Hanazawa, Yukari Hara, Hisano Hasebe, Atsushi Hasegawa, Hiroaki Hashizume, Asuka Hatakeyama, Sumika Hatakeyama, Nozomi Hatanaka, Rieko Hatanaka, Takanori Hidaka, Kenji Hino, Hiroe Hirama, Ikuo Hirano, Sachiko Hirano, Takumi Hirata, Masahiro Hiratsuka, Yuki Hiratsuka, Ikuko Hirayama, Eiji Hishinuma, Atsushi Hozawa, Keisuke Ido, Nobuko Igari, Chikako Iida, Katsuko Imai, Makiko Inoue, Marie Inoue, Reiko Inoue, Rumi Irie, Motoko Ishida, Noriko Ishida, Eri Ishigaka, Chihiro Ishii, Osamu Ishii, Tadashi Ishii, Tatsuro Ishikawa, Mami Ishikuro, Kazutoshi Ishimori, Ryosuke Ishiwata, Miho Itabashi, Maiko Ito, Masumi Ito, Mayumi Ito, Rie Ito, Saori Ito, Fumihiko Iwabuchi, Maki Iwabuchi, Yoko Izumi, Yoshiko Izumi, Masataka Kambe, Kanako Watanabe, Takanari Kanno, Mayu Kano, Naoko Kasahara, Hinako Kashiwa, Kiyomi Katahira, Mayumi Kato, Yukie Kato, Fumiki Katsuoka, Takeshi Kawabata, Rika Kawada, Aoi Kawagoe, Hiroshi Kawame, Junko Kawashima, Yukako Kawashima, Junko Kikuchi, Masahiro Kikuya, Masae Kimura, Kengo Kinoshita, Ikuko Kishi, Tomoko Kishimoto, Tamie Kitaura, Mika Kobayashi, Tadao Kobayashi, Tomoko Kobayashi, Eiichi N. Kodama, Shun Kodate, Mana Kogure, Toshisada Kohagizawa, Naomi Kohketsu, Noa Koida, Chie Koide, Mika Koide, Toshihiko Koike, Shohei Koiso, Kaname Kojima, Junko Komatsu, Ayumi Kondo, Yukie Konno, Sachie Koreeda, Seizo Koshiba, Takuya Koyama, Hisaaki Kudo, Kazuki Kumada, Ryoko Kumadaki, Rika Kumagai, Toshie Kumagai, Yuko Kumagai, Yasuto Kunii, Miho Kuriki, Shinichi Kuriyama, Miyuki Kuroda, Emiko Kurokawa, Seiko Kurota, Hisako Kusano, Bin Li, Donghan Li, Kanako Maeshibu, Keiko Maeta, Hiroko Matsubara, Naomi Matsukawa, Masako Matsumoto, Takako Matsuoka, Yuka Matsushita, Fumiko Matsuzaki, Motomichi Matsuzaki, Hirohito Metoki, Sayaka Minakawa, Yuki Minami, Kyoko Mitate, Satomi Mito, Ayako Miura, Noriko Miura, Ryo Miyagi, Akiko Miyazawa, Satoshi Mizuno, Akiko Mochida, Mika Momii, Hiroko Mori, Naoko Mori, Hozumi Motohashi, Ikuko N. Motoike, Shunji Mugikura, Keiko Murakami, Takahisa Murakami, Toshiro Muranishi, Masato Nagai, Satoshi Nagaie, Fuji Nagami, Tatsuo Nagasaka, Sachiko Nagase, Kumiko Nakagawa, Taku Nakai, Noriko Nakajo, Naoki Nakamura, Tomohiro Nakamura, Yuko Nakasato, Kumi Nakaya, Naoki Nakaya, Kei Nanatani, Natsuko Narisawa, Yuka Narita, Hafumi Nishi, Kohji Nishida, Ichiko Nishijima, Takahiro Nobukuni, Kotaro Nochioka, Aoi Noda, Kenichi Noguchi, Kiriko Nozoe, Rie Nunokawa, Taku Obara, Tomoko Obara, Kaori Ogasawara, Satoru Ogawa, Soichi Ogishima, Nahoko Ohi, Namiko Ohisa, Kinuko Ohneda, Hayami Ohori, Yumi Oikawa, Yumiko Ojima, Yumi Okada, Yasunobu Okamura, Hiroshi Okuda, Mitsuko Okuda, Ayako Okumoto, Akane Ono, Chiaki Ono, Genki Onodera, Kaname Onodera, Masako Onodera, Midori Onuma, Tomomi Onuma, Keiichiro Oohashi, Masumi Oomachi, Kazuya Ootomo, Yukie Oouchi, Kazuko Oowada, Masatsugu Orui, Mayumi Osada, Tamae Osanai, Reiko Ota, Noriko Otake, Sumie Otomo, Tatsui Otsuka, Akihito Otsuki, Yoko Otsuki, Yuki Oyama, Keiko Oyamada, Masahiro Ozawa, Yoko Ozawa, Satomi Obara, Daisuke Saigusa, Asami Saito, Asuka Saito, Hisako Saito, Kazue Saito, Manami Saito, Megumi Saito, Ritsumi Saito, Sakae Saito, Tomo Saito, Yoshinobu Saitoh, Hiroko Sakai, Masaki Sakaida, Hiroshi Sakamono, Hiromi Sakamoto, Kana Sakamoto, Mia Sakamoto, Kasumi Sakurai, Miyuki Sakurai, Rieko Sakurai, Mika Sakurai-Yageta, Eriko Sasaki, Kana Sasaki, Miho Sasaki, Tadashi Sasaki, Yukari Sasaki, Yukie Sasaki, Akemi Sato, Chika Sato, Hirokazu Sato, Mayumi Sato, Michiyo Sato, Miho Sato, Mitsuharu Sato, Miu Sato, Naoko Sato, Reiko Sato, Satoshi Sato, Shiho Sato, Taku Sato, Yoshiko Sato, Youko Sato, Yui Sato, Yuriko Sato, Michihiro Satoh, Ayako Sekiya, Koji Shibuya, Hirohito Shima, Yoshiko Shima, Muneaki Shimada, Atsushi Shimizu, Ritsuko Shimizu, Genki Shinoda, Nobuyuki Shirakawa, Matsuyuki Shirota, Hiroe Shoji, Ikuko Shoji, Mariko Shoji, Midori Shoji, Wakako Shoji, Satomi Someya, Shinya Sonobe, Itsumi Sou, Rie Suenaga, Yasuko Suenaga, Mayumi Suga, Rika Sugai, Junichi Sugawara, Megumi Sugawara, Michiko Sugawara, Nanako Sugawara, Saori Sugawara, Yuki Sugawara, Sachiyo Sugimoto, Yoshiko Suto, Airi Suzuki, Ayano Suzuki, Keiko P. Suzuki, Mariko Suzuki, Michirou Suzuki, Mikiko Suzuki, Norio Suzuki, Rie Suzuki, Ryoko Suzuki, Takafumi Suzuki, Tatsuya Suzuki, Yoichi Suzuki, Kaho Sato, Shu Tadaka, Keiko Taguchi, Nozomi Taiji, Makiko Taira, Kaori Takagi, Emi Takahashi, Harumi Takahashi, Junko Takahashi, Megumi Takahashi, Noriko Takahashi, Rieko Takahashi, Yukiko Takahashi, Mayuko Takasawa, Jun Takayama, Miho Takeuchi, Yoshinobu Takeyama, Sayaka Takita, Toru Tamahara, Gen Tamiya, Naomi Tamura, Akari Tanaka, Saiko Tanaka, Chihiro Tanno, Naoko Tanno, Keiko Tateno, Minoru Tateno, Chika Terui, Yuriko Tezuka, Mihoko Toki, Etsuko Tomita, Hiroaki Tomita, Mai Tomizuka, Akiko Toriyama, Naho Tsuchiya, Miyuki Tsuda, Tomomi Tsumuraya, Junko Tsunasawa, Issei Tsunoda, Juri Uchiya, Akiko Ueda, Yuriko Ueki, Fumihiko Ueno, Rumi Ujiie, Keiko Umeda, Akira Uruno, Ikuko Wada, Tomoko Wada, Mika Wagatsuma, Hitoshi Watanabe, Kazue Watanabe, Nobuo Yaegashi, Mika Yagyu, Etsuko Yamada, Yumi Yamaguchi-Kabata, Masayuki Yamamoto, Tomiko Yamauchi, Yukari Yamauchi, Mika Yamazaki, Kenji Yano, Jun Yasuda, Hang Yin, Hiroshi Yokota, Manami Yokoyama, Yuko Yoshida, Mizue Yoshino, Zhiqian Yu, Yoshiyuki Yukawa, Lin Zhang, Makoto Sasaki, Akimune Fukushima, Yasushi Ishigaki, Atsushi Shimizu, Koichi Asahi, Ryoichi Tanaka, Kozo Tanno, Kotaro Otsuka, Fumie Aizawa, Naoyuki Nishiya, Mitsuko Iwabuchi, Fumitaka Tanaka, Shinichi Omama, Kouhei Hashizume, Noriko Takebe, Kazuhiro Yoshikawa, Yuka Kotozaki, Masato Nagai, Takahiro Mikami, Takahito Nasu, Junko Akai, Yorihiro Koeda, Yohei Sawa, Nobuyuki Takanashi, Yayoi Yamasaki, Haruki Terui, Kasumi Hannokizawa, Hideki Ohmomo, Shohei Komaki, Mamoru Satoh, Yoichi Sutoh, Fumio Yamashita, Yutaka Hasegawa, Shiori Minabe, Tsuyoshi Hachiya, Tomoharu Tokutomi, Yukiko Toya, Akiko Yoshida, Satoshi Nishizuka, Ryujin Endo, Shinichi Kuriyama, Gen Tamiya

    Journal of Human Genetics　70　(6)　287-296　2025年4月3日

    出版者・発行元： Springer Science and Business Media LLC

    DOI： 10.1038/s10038-025-01331-3 　

    ISSN：1434-5161

    eISSN：1435-232X

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    Abstract Runs of homozygosity (ROHs) are widely observed across the genomes of various species and have been reported to be associated with many traits and common diseases, as well as rare recessive diseases, in human populations. Although single nucleotide polymorphism (SNP) array data have been used in previous studies on ROHs, recent advances in whole-genome sequencing (WGS) technologies and the development of nationwide cohorts/biobanks are making high-density genomic data increasingly available, and it is consequently becoming more feasible to detect ROHs at higher resolution. In the study, we searched for ROHs in two high-coverage WGS datasets from 3552 Japanese individuals and 192 three-generation families (consisting of 1120 family members) in prospective genomic cohorts. The results showed that a considerable number of ROHs, especially short ones that may have remained undetected in conventionally used SNP-array data, can be detected in the WGS data. By filtering out sequencing errors and leveraging pedigree information, longer ROHs are more likely to be detected in WGS data than in SNP-array data. Additionally, we identified gene families within ROH islands that are associated with enriched pathways related to sensory perception of taste and odors, suggesting potential signatures of selection in these key genomic regions.

  5. Genome-Wide Association Study of Intraocular Pressure in Population-Based Cohorts in Japan: The Tohoku Medical Megabank Organization Eye Study. 国際誌

    Nobuo Fuse, Hayato Anzawa, Miyuki Sakurai, Ikuko N Motoike, Satoshi Nagaie, Tomohiro Nakamura, Akiko Miyazawa, Eiichi N Kodama, Masatsugu Orui, Yohei Hamanaka, Tomoko Kobayashi, Akira Uruno, Makiko Taira, Ritsuko Shimizu, Naoki Nakaya, Mami Ishikuro, Taku Obara, Fuji Nagami, Soichi Ogishima, Fumiki Katsuoka, Kazuki Kumada, Shinichi Kuriyama, Atsushi Hozawa, Yoko Izumi, Kengo Kinoshita, Masayuki Yamamoto

    Ophthalmology science　5　(5)　100821-100821　2025年

    DOI： 10.1016/j.xops.2025.100821 　

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    PURPOSE: This study was conducted to elucidate the distribution and determinants of ocular biometric parameters and to assess the association between intraocular pressure (IOP) and single nucleotide polymorphisms (SNPs) in the Japanese population-based genome cohort studies. DESIGN: Cross-sectional analysis involving genome-wide association studies (GWASs). PARTICIPANTS: In total, 22 150 participants aged >18 years from the population cohort (Community-Based Cohort [CommCohort]) and 11 302 participants from the Birth and Three-Generation (BirThree) Cohort of the Tohoku Medical Megabank Organization Eye Study were examined. METHODS: Participant underwent interviews, ophthalmic and physiological examinations, laboratory tests, and microarray analyses. Genome-wide association studies were conducted in the CommCohort (discovery stage) and the BirThree Cohort (replication stage), followed by a meta-analysis. Associations of SNPs and IOP were evaluated using a genome-wide significance threshold (5 × 10- 8). MAIN OUTCOME MEASURES: Association of SNPs with IOP and distributions of IOP by sex and age. RESULTS: In the discovery stage, the mean IOP of the right and left eye was 13.95 and 14.02 mmHg, respectively. In the replication stage, the corresponding values were 14.32 and 14.27 mmHg, respectively. A significant age-related reduction in IOP was observed in both stages (P < 0.001). Genome-wide association studies identified 573 and 2 genome-wide significant SNPs in the discovery and replication stages, respectively. Meta-analysis revealed 1601 significant SNPs across 21 loci on 11 chromosomes (Chrs). Of these loci, 17 were previously known to be associated with IOP or glaucoma, while four-septin-8 (SEPT8; Chr5), aldehyde dehydrogenase 2 (ALDH2; Chr12), collagen type VI alpha 2 chain (COL6A2; Chr21), and Wnt family member 7B (WNT7B; Chr22)-were newly identified. CONCLUSIONS: This large-scale GWAS in a Japanese population identified 21 loci associated with IOP, including 4 novel loci. The findings highlight both genetic similarities and population-specific variations in SNPs influencing IOP and provide valuable insights to enhance eye health care, including glaucoma management. FINANCIAL DISCLOSURES: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

  6. 健康調査における眼圧のゲノムワイド関連解析

    布施 昇男, 安澤 隼人, 元池 育子, 櫻井 美由紀, 木下 賢吾, 山本 雅之

    日本緑内障学会抄録集　35回　81-81　2024年9月

    出版者・発行元： 日本緑内障学会

  7. PNPO–PLP axis senses prolonged hypoxia in macrophages by regulating lysosomal activity

    Hiroki Sekine, Haruna Takeda, Norihiko Takeda, Akihiro Kishino, Hayato Anzawa, Takayuki Isagawa, Nao Ohta, Shohei Murakami, Hideya Iwaki, Nobufumi Kato, Shu Kimura, Zun Liu, Koichiro Kato, Fumiki Katsuoka, Masayuki Yamamoto, Fumihito Miura, Takashi Ito, Masatomo Takahashi, Yoshihiro Izumi, Hiroyuki Fujita, Hitoshi Yamagata, Takeshi Bamba, Takaaki Akaike, Norio Suzuki, Kengo Kinoshita, Hozumi Motohashi

    Nature Metabolism　2024年5月31日

    出版者・発行元： Springer Science and Business Media LLC

    DOI： 10.1038/s42255-024-01053-4 　

    eISSN：2522-5812

  8. Whole blood transcriptome analysis for age- and gender-specific gene expression profiling in Japanese individuals

    Yu-ichi Aoki, Keiko Taguchi, Hayato Anzawa, Junko Kawashima, Noriko Ishida, Akihito Otsuki, Atsushi Hasegawa, Liam Baird, Takafumi Suzuki, Ikuko N Motoike, Kinuko Ohneda, Kazuki Kumada, Fumiki Katsuoka, Kengo Kinoshita, Masayuki Yamamoto

    The Journal of Biochemistry　2024年5月31日

    DOI： 10.1093/jb/mvae008 　

  9. Identifying key genes in COPD risk via multiple population data integration and gene prioritization. 国際誌

    Afeefa Zainab, Hayato Anzawa, Kengo Kinoshita

    PloS one　19　(11)　e0305803　2024年

    DOI： 10.1371/journal.pone.0305803 　

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    Chronic obstructive pulmonary disease (COPD) is a highly prevalent disease, making it a leading cause of death worldwide. Several genome-wide association studies (GWAS) have been conducted to identify loci associated with COPD. However, different ancestral genetic compositions for the same disease across various populations present challenges in studies involving multi-population data. In this study, we aimed to identify protein-coding genes associated with COPD by prioritizing genes for each population's GWAS data, and then combining these results instead of performing a common meta-GWAS due to significant sample differences in different population cohorts. Lung function measurements are often used as indicators for COPD risk prediction; therefore, we used lung function GWAS data from two populations, Japanese and European, and re-evaluated them using a multi-population gene prioritization approach. This study identified significant single nucleotide variants (SNPs) in both Japanese and European populations. The Japanese GWAS revealed nine significant SNPs and four lead SNPs in three genomic risk loci. In comparison, the European population showed five lead SNPs and 17 independent significant SNPs in 21 genomic risk loci. A comparative analysis of the results found 28 similar genes in the prioritized gene lists of both populations. We also performed a standard meta-analysis for comparison and identified 18 common genes in both populations. Our approach demonstrated that trans-ethnic linkage disequilibrium (LD) could detect some significant novel associations and genes that have yet to be reported or were missed in previous analyses. The study suggests that a gene prioritization approach for multi-population analysis using GWAS data may be a feasible method to identify new associations in data with genetic diversity across different populations. It also highlights the possibility of identifying generalized and population-specific treatment and diagnostic options.

  10. Deficiency of CHAMP1, a gene related to intellectual disability, causes impaired neuronal development and a mild behavioural phenotype 査読有り

    Masayoshi Nagai, Kenji Iemura, Takako Kikkawa, Sharmin Naher, Satoko Hattori, Hideo Hagihara, Koh-ichi Nagata, Hayato Anzawa, Risa Kugisaki, Hideki Wanibuchi, Takaya Abe, Kenichi Inoue, Kengo Kinoshita, Tsuyoshi Miyakawa, Noriko Osumi, Kozo Tanaka

    Brain Communications　4　(5)　2022年9月1日

    出版者・発行元： Oxford University Press ({OUP})

    DOI： 10.1093/braincomms/fcac220 　

    ISSN：2632-1297

    eISSN：2632-1297

  11. High levels of chromosomal instability facilitate the tumor growth and sphere formation 査読有り

    Iemura, K., Anzawa, H., Funayama, R., Iwakami, R., Nakayama, K., Kinoshita, K., Tanaka, K.

    Cancer Science　113　(8)　2727-2737　2022年6月5日

    出版者・発行元： Wiley

    DOI： 10.1111/cas.15457 　

    ISSN：1349-7006 1347-9032

    eISSN：1349-7006

  12. CEBPB is required for NRF2-mediated drug resistance in NRF2-activated non-small cell lung cancer cells 査読有り

    Okazaki, K., Anzawa, H., Katsuoka, F., Kinoshita, K., Sekine, H., Motohashi, H.

    Journal of Biochemistry　171　(5)　567-578　2022年2月7日

    出版者・発行元： Oxford University Press ({OUP})

    DOI： 10.1093/jb/mvac013 　

    ISSN：1756-2651 0021-924X

    eISSN：1756-2651

  13. Enhancer remodeling promotes tumor-initiating activity in NRF2-activated non-small cell lung cancers 査読有り

    Keito Okazaki, Hayato Anzawa, Zun Liu, Nao Ota, Hiroshi Kitamura, Yoshiaki Onodera, Md. Morshedul Alam, Daisuke Matsumaru, Takuma Suzuki, Fumiki Katsuoka, Shu Tadaka, Ikuko Motoike, Mika Watanabe, Kazuki Hayasaka, Akira Sakurada, Yoshinori Okada, Masayuki Yamamoto, Takashi Suzuki, Kengo Kinoshita, Hiroki Sekine, Hozumi Motohashi

    Nature Communications　11　(1)　2020年11月20日

    出版者・発行元： Springer Science and Business Media LLC

    DOI： 10.1038/s41467-020-19593-0 　

    ISSN：2041-1723

    eISSN：2041-1723

  14. Landscape of electrophilic and inflammatory stress-mediated gene regulation in human lymphoblastoid cell lines 査読有り

    Noriko Ishida, Yuichi Aoki, Fumiki Katsuoka, Ichiko Nishijima, Takahiro Nobukuni, Hayato Anzawa, Li Bin, Miyuki Tsuda, Kazuki Kumada, Hisaaki Kudo, Takahiro Terakawa, Akihito Otsuki, Kengo Kinoshita, Riu Yamashita, Naoko Minegishi, Masayuki Yamamoto

    Free Radical Biology and Medicine　161　71-83　2020年10月2日

    出版者・発行元： Elsevier {BV}

    DOI： 10.1016/j.freeradbiomed.2020.09.023 　

    ISSN：0891-5849

︎全件表示 ︎最初の5件までを表示

MISC 2

  1. 東北メディカル・メガバンク計画健康調査における中心角膜厚のゲノムワイド関連解析

    布施昇男, 安澤隼人, 元池育子, 櫻井美由紀, 木下賢吾, 山本雅之

    日本眼科学会雑誌　128　2024年

    ISSN： 0029-0203

  2. 転写因子NRF2の持続的活性化によるエンハンサーリモデリングと腫瘍幹細胞性の増強

    岡崎慶斗, 安澤隼人, 岡田克典, 鈴木貴, 木下賢吾, 関根弘樹, 本橋ほづみ

    日本生化学会大会(Web)　94th　2021年

講演・口頭発表等 6

  1. LLMを用いたメタデータ正規化手法の開発とGEOメタデータへの応用

    第13回生命医薬情報学連合大会　2025年9月3日

  2. C4S DB: Comprehensive Collection and Comparison for ChIP-Seq Database

    Hayato Anzawa, Kengo Kinoshita

    1st Asia & Pacific Bioinformatics Joint Conference (APBJC 2024)　2024年10月23日

  3. Large-scale assessment of ChIP-seq quality metrics toward peak call-free quality control

    Hayato Anzawa, Kengo Kinoshita

    29th Conference on Intelligent Systems for Molecular Biology and the 20th European Conference on Computational Biology　2021年7月27日

  4. Theoretical estimation of the strand cross-correlation in ChIP-Seq data

    Hayato Anzawa, Hitoshi Yamagata, Kengo Kinoshita

    Intelligent Systems for Molecular Biology and European Conference on Computational Biology, 2019　2019年7月22日

  5. ChIP-Seqデータのクラスタリングによる実験条件・解析手法に起因するバイアスの可視化

    安澤隼人, 木下賢吾

    NGS現場の会第五回研究会　2017年5月22日

  6. Model based discrimination method of ChIPed data from control data in ChIP-seq experiment dataset

    Hayato Anzawa, Kengo Kinoshita

    Informatics In Biology, Medicine and Pharmacology 2016　2016年9月30日

︎全件表示 ︎最初の5件までを表示

共同研究・競争的資金等の研究課題 1

  1. 逐次更新を実現する二次データベース構築手法の開発とレギュロームデータへの適用

    安澤 隼人

    提供機関：Japan Society for the Promotion of Science

    制度名：Grants-in-Aid for Scientific Research

    研究種目：Grant-in-Aid for Early-Career Scientists

    研究機関：Tohoku University

    2024年4月1日 ～ 2027年3月31日

担当経験のある科目(授業) 4

  1. プログラミング演習A　東北大学 学部専門科目

  2. 創造工学研修　東北大学 学部専門科目

  3. 生命情報システム科学　東北大学 大学院専門科目

  4. 電気・通信・電子・情報工学実験C　東北大学 学部専門科目