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The European Respiratory Journal|October 14, 2024
Mosaic loss of chromosome Y, tobacco smoking and risk of age-related lung diseases: insights from two prospective cohortsChenghao Weng, Yuxuan Zhao, Mingyu Song, et al.Rheumatology (Oxford, England)|September 14, 2010
Anti-citrullinated peptide antibody-negative RA is a genetically distinct subset: a definitive study using only bone-erosive ACPA-negative rheumatoid arthritisKoichiro Ohmura, Chikashi Terao, Etsuko Maruya, et al.Scientific Reports|August 2, 2017
Anti-centromere antibody exhibits specific distribution levels among anti-nuclear antibodies and may characterize a distinct subset in rheumatoid arthritisNobuo Kuramoto, Koichiro Ohmura, Katsunori Ikari, et al.Annals of the Rheumatic Diseases|August 30, 2011
A large-scale association study identified multiple HLA-DRB1 alleles associated with ACPA-negative rheumatoid arthritis in Japanese subjectsChikashi Terao, Koichiro Ohmura, Yuta Kochi, et al.Arthritis & Rheumatology (Hoboken, N.J.)|January 25, 2022
Role of Lysine-Specific Demethylase 1 in Metabolically Integrating Osteoclast Differentiation and Inflammatory Bone Resorption Through Hypoxia-Inducible Factor 1α and E2F1Kohei Doi, Koichi Murata, Shuji Ito, et al.Science Immunology|August 15, 2025
Stem-like and effector peripheral helper T cells comprise distinct subsets in rheumatoid arthritisYuki Masuo, Akinori Murakami, Rinko Akamine, et al.Science Immunology|August 1, 2025
Human CD4+ T cells regulate peripheral immune responses in rheumatoid arthritis via insulin-like growth factor-like family member 2Akinori Murakami, Rinko Akamine, Shiro Tanaka, et al.Nature Computational Science|January 4, 2024
The high-dimensional space of human diseases built from diagnosis records and mapped to genetic lociGengjie Jia, Yu Li, Xue Zhong, et al.Plos One|July 14, 2012
ACPA-negative RA consists of two genetically distinct subsets based on RF positivity in JapaneseChikashi Terao, Koichiro Ohmura, Katsunori Ikari, et al.Circulation. Genomic and Precision Medicine|June 4, 2026
Machine Learning Reveals the Contribution of Rare Genetic Variants and Enhances Risk Prediction for Coronary Artery Disease in the Japanese PopulationHirotaka Ieki, Sai Zhang, Satoshi Koyama, et al.Pageof 25