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雑誌論文（英文）

  1. Alkhairo H, Koyama S, Iyer K, Hilliard AT, Kho PF, Clarke S, Abdulwahab FM, Assimes TL, Lynch JA, Ramsay M; Human Heredity and Health in Africa (H3Africa); VA Million Veteran Program (MVP); Chang KM, Tsao PS, Alkuraya FS, Ito K, Risch N, Tcheandjieu C. Linkage disequilibrium and allelic heterogeneity explain variation in coronary artery disease risk at 9p21 across populations and reduced effect in Africans. Am J Hum Genet 2026;128:S0002-9297(26)00233-8.
  2. Momoko Hamano ,   Seitaro Nomura ,   Kaoru Ito ,   Ryuichiro Nakato ,   Issei Komuro ,   Yoshihiro Yamanishi   Identifying novel Japanese heart failure variants via endothelial cis-regulatory element analysis  Bioinformatics Advances, vbag178, https://doi.org/10.1093/bioadv/vbag178 
  3. Ieki H, Ito K, Zhang S, Koyama S, Kjellberg M, Yoshida H, Kurosawa R, Matsunaga H, Miyazawa K, Enzan N, et al. Machine Learning Reveals the Contribution of Rare Genetic Variants and Enhances Risk Prediction for Coronary Artery Disease in the Japanese Population. Circ Genom Precis Med 2026:e005341.
  4. Haydarlou P, Kramarenko DR, Enzan N, Klevjer M, Vad OB, Corver ME, Zimmerman DS; BioBank Japan Project; Matsuda K, Diederichsen SZ, Bye A, Svendsen JH, Ito K, Ellinor PT, Bezzina CR, Jurgens SJ. Multi-trait polygenic risk scores improve genomic prediction of atrial fibrillation across diverse ancestries. Nat Commun 2026;7:e005341. doi: 10.1038/s41467-026-72708-x. Online ahead of print.
  5. Small AM, Yang TY, Itoh S, Thériault S, Dufresne L, Kurosawa R, Komuro I, Matsuda K, Vy HMT, Farber-Eger EH, Shaffer LL, Boulier KM, Corey KM, Ramaker ME, Laporte F, Schott JJ, Le Scouarnec S, Singh SA, Sonawane AR, Smith HA, Rafaels N; Colorado Center for Personalized Medicine; Ghouse J, Raja AA, Ostrowski SR, Sørensen E, Mikkelsen C, Pedersen OB, Erikstrup C, Ullum H; DBDS Genomic Consortium; Sveinbjornsson G, Gudbjartsson DF, Abner E; Estonian Biobank Research Team; Lee J, Ganna A, Nowak-Göttl U, Finer S; Genes & Health Research Team; Schumacher J, Maj C, Al-Kassou B, Nickenig G, Trenkwalder T, Dreβen M, Krane M, Nöthen MM, Moksnes MR, Brumpton BM, Knight S, Knowlton KU, Nadauld L, Debiec R, Musameh MD, Braund PS, Nelson CP, Czuba T, Melander O, Selvaraj MS, Koyama S, Bhukar R, Ruan Y, Ljungberg J, Damrauer SM, Levin MG, Franke A, Berger K, Ruff CT, Melloni GEM, Kamanu FK, Ito K, et al. Genomic and transcriptomic analyses of aortic stenosis enhance therapeutic target discovery and disease prediction. Nat Genet 2026;58:57-66.
  6. Enzan N, Miyazawa K, Koyama S, Kurosawa R, Ieki H, Yoshida H, Takechi F, Fukuyama M, Osako R, Tomizuka K, Liu X, Ozaki K, Onouchi Y; BioBank Japan Project; Matsuda K, Momozawa Y, Aburatani H, Kamatani Y, Yamaguchi T, Akazawa H, Node K, Ellinor PT, Levin MG, Damrauer SM, Voight BF, Joseph J, Sun YV, Terao C, Ninomiya T, Komuro I, Ito K. Genome-wide analysis of heart failure yields insights into disease heterogeneity and enables prognostic prediction in the Japanese population. Nat Commun 2025;16:9680.
  7. Nakashima K, Yamaguchi T, Takahashi Y, Otsubo T, Shichiba S, Ito K, et al. Sex differences in atrial fibrillation-related atrial remodelling assessed by electroanatomic mapping and biopsy. Eur Heart J 2025;47:217-231.
  8. Shinzato K, Takahashi Y, Yamaguchi T, Otsubo T, Nakashima K, Yoshioka G, Yokoi K, Tsuruta K, Osako R, Shichida S, Ito K, et al. Atrial amyloidosis identified by biopsy in atrial fibrillation: prevalence and clinical presentation. Eur Heart J 2025;46:3437-3449.
  9. Koide R, Nakashima Y, Kojima S, Sotomi Y, Sakata Y, Sakata Y, Ito K, Parrish NF. Pooled screening for endogenous HHV-6 in subjects with coronary artery disease. Virus Genes 2025;61:239-243.
  10. Roselli C, Surakka I, Olesen MS, Sveinbjornsson G, Marston NA, Choi SH, Holm H, Chaffin M, Gudbjartsson D, Hill MC, Ito K, et al. Meta-analysis of genome-wide associations and polygenic risk prediction for atrial fibrillation in more than 180,000 cases. Nat Genet 2025;57:539-547.
  11. Otsubo T, Shinzato K, Yamaguchi T, Nakashima K, Takahashi Y, Tsuruta K, Edayoshi M, Shichida S, Osako R, Nishimura Y, Kawano Y, Yokoi K, Fukui A, Hirota K, Takigawa M, Miyazaki M, Shintani-Domoto Y, Ito K, Aoki S, Kawaguchi A, Nomura S, Sasano T, Takahashi N, Node K. Feasibility and Safety of Atrial Biopsy - Evidence From 1,000 Cases. Cardiovasc Revascularization Med 2025;7:764-773.
  12. Imai Y, Kusano K, Aiba T, Ako J, Asano Y, Harada-Shiba M, Kataoka M, Kosho T, Kubo T, Matsumura T, Ito K, et al. JCS/JCC/JSPCCS 2024 Guideline on Genetic Testing and Counseling in Cardiovascular Disease. J Cardiol 2025;85:115-176.
  13. Flanagan J, Liu X, Ortega-Reyes D, Tomizuka K, Matoba N, Akiyama M, Koido M, Ishigaki K, Ashikawa K, Takata S, Ito K, et al. Population-specific reference panel improves imputation quality for genome-wide association studies conducted on the Japanese population. Commun Biol 2024;7:1665.
  14. Koyama S, Liu X, Koike Y, Hikino K, Koido M, Li W, Kaki K, Tomizuka K, Ito S, Otomo N, Ito K, et al. Population-specific putative causal variants shape quantitative traits. Nat Genet 2024;52:1200-1210.
  15. Li H, Duo M, Zhang Z, Weng H, Liu D, Zhang Y, Xi L, Zou B, Li H, Chen G, et al. Blood cell traits and venous thromboembolism in East Asians: Observational and genetic evidence. iScience 2024;27:110671.
  16. Hikino K, Koyama S, Ito K, Koike Y, Koido M, Matsumura T, Kurosawa R, Tomizuka K, Ito S, Liu X, et al. RNF213 Variants, Vasospastic Angina, and Risk of Fatal Myocardial Infarction. JAMA Cardiol 2024;9:300-308.
  17. Smith JL, Tcheandjieu C, Dikilitas O, Iyer K, Miyazawa K, Hilliard A, Lynch J, Rotter JI, et al. Multi-Ancestry Polygenic Risk Score for Coronary Heart Disease Based on an Ancestrally Diverse Genome-Wide Association Study and Population-Specific Optimization. Circ Genom Precis Med 2024;17:e004272.
  18. Liu X, Koyama S, Tomizuka K, Takata S, Ishikawa Y, Ito S, Kosugi S, Suzuki K, Hikino K, Koido M, et al. Decoding triancestral origins, archaic introgression, and natural selection in the Japanese population by whole-genome sequencing. Sci Adv 2024;10:eadi8419.
  19. Ito S, Liu X, Ishikawa Y, Conti DD, Otomo N, Kote-Jarai Z, Suetsugu H, Eeles RA, Koike Y, Hikino K, et al. Androgen receptor binding sites enabling genetic prediction of mortality due to prostate cancer in cancer-free subjects. Nat Commun 2023;14:4863.
  20. Jang MY, Patel PN, Pereira AC, Willcox JAL, Haghighi A, Tai AC, Ito K, Morton SU, Gorham JM, McKean DM, et al. Contribution of Previously Unrecognized RNA Splice-Altering Variants to Congenital Heart Disease. Circ Genom Precis Med 2023;16:224-231.
  21. Kojima S, Koyama S, Ka M, Saito Y, Parrish EH, Endo M, Takata S, Mizukoshi M, Hikino K, Takeda A, et al. Mobile element variation contributes to population-specific genome diversification, gene regulation and disease risk. Nat Genet 2023;55:939-951.
  22. Bujo S, Toko H, Ito K, Koyama S, Ishizuka M, Umei M, Yanagisawa-Murakami H, Guo J, Zhai B, et al. Low-carbohydrate diets containing plant-derived fat but not animal-derived fat ameliorate heart failure. Sci Rep 2023;13:3987.
  23. Miyazawa K, Ito K, Ito M, Zou Z, Kubota M, Nomura S, Matsunaga H, Koyama S, Ieki H, Akiyama M, et al. Cross-ancestry genome-wide analysis of atrial fibrillation unveils disease biology and enables cardioembolic risk prediction. Nat Genet 2023;61:890-899.
  24. Marston NA, Pirruccello JP, Melloni GEM, Koyama S, Kamanu FK, Weng L, Roselli C, Kamatani Y, Komuro I, et al. Predictive Utility of a Coronary Artery Disease Polygenic Risk Score in Primary Prevention. JAMA Cardiol 2022;7:345-352.
  25. Ieki H, Ito K, Saji M, Kawakami R, Nagatomo Y, Takada K, Kariyasu T, Machida H, Koyama S, et al. Deep learning-based age estimation from chest X-rays indicates cardiovascular prognosis. Commun Med 2022;2:159.
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  27. Koido M, Hon C, Koyama S, Kawaji H, Murakawa Y, Ishigaki K, Ito K, Sese J, Parrish NF, Kamatani Y, et al. Prediction of the cell-type-specific transcription of non-coding RNAs from genome sequences via machine learning. Nat Biomed Eng 2022;6:789-799.
  28. Thibord F, Klarin D, Brody JA, Chen M, Levin MG, Chasman DI, Goode EL, Hveem K, Teder-Laving M, et al. Cross-Ancestry Investigation of Venous Thromboembolism Genomic Predictors. Circulation 2022;146:1225-1242.
  29. Adachi Y, Ueda K, Nomura S, Ito K, Katoh M, Katagiri M, Yamada S, Hashimoto M, Zhai B, et al. Beiging of perivascular adipose tissue regulates its inflammation and vascular remodeling. Nat Commun 2022;13:5117.
  30. Tcheandjieu C, Zhu X, Hilliard AT, Clarke SL, Napolioni V, Ma S, Lee KM, Fang H, Chen F, Lu Y, et al. Large-scale genome-wide association study of coronary artery disease in genetically diverse populations. Nat Med 2022;28:1679-1692.
  31. Pirruccello JP, Achille PD, Nauffal V, Nekoui M, Friedman SF, Klarqvist MDR, Chaffin MD, Weng L, Cunningham JW, Khurshid S, et al. Genetic analysis of right heart structure and function in 40,000 people. Nat Genet 2022;54:792-803.
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  33. Patel PN, Ito K, Willcox JAL, Haghighi A, Jang MY, Gorham JM, DePalma SR, Lam L, McDonough B, et al. Contribution of Noncanonical Splice Variants to TTN Truncating Variant Cardiomyopathy. Circ Genom Precis Med 2021;14:e003389.
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  39. Hartiala JA, Han Y, Jia Q, Hilser JR, Huang P, Gukasyan J, Schwartzman WS, Cai Z, Biswas S, et al. Genome-wide analysis identifies novel susceptibility loci for myocardial infarction. Eur Heart J 2021;42:919-933.
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  47. Garcia-Pavia P, Kim Y, Restrepo-Cordoba MA, Lunde IG, Wakimoto H, Smith AM, Toepfer CN, Getz K, Gorham J, ... Ito K, et al. Genetic Variants Associated With Cancer Therapy-Induced Cardiomyopathy. Circulation 2019;140:31-41.
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