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. 2026 Mar 9.
doi: 10.1002/art.70126. Online ahead of print.

Landscape of somatic mutations in a large cohort of Chinese patients with immune dysregulations

Jinjian Fu #  1   2 Qiong Fu #  3   4 Jun Wang #  2 Qintao Wang #  2 Liang Zhang #  5 Huihui Chi #  6 Lei Zhang  7 Li Sun  8 Ying Huang  9 Tingyan He  10 Yuhao Yao  1   2 Xu Han  2   11 Shuangyue Ma  2 Chenlu Liu  1   2 Lin Liu  1   2   12 Xiang Chen  2   13 Shihao Wang  2   14 Hong Jiang  15 Wenjie Zheng  16 Shaoling Zheng  17 Qiao Ye  18 Yue Du  19 Li Guo  20 Jing Zhu  21 Guomin Li  8 Changming Zhang  22 Zhimiao Lin  23 Xiuli Ju  24 Yongmei Han  2 Weiqian Chen  25 Jin Lin  25 Jing Xue  26 Hao Cheng  27 Caiqing Xu  28 Lin Huang  29 Longyan Qin  30 Jiashun Zeng  30 Yifang Mei  31 Tingting Yan  18 Qianying Lv  8 Yaoyao Shangguan  16 Cuifang Zheng  9 Xiaoliang He  32 Hongfei Liu  33 Xiaoli Chen  34 Hua Xie  34 Xue Li  24 Ying Jin  22 Jiahui Peng  2 Bo Lin  12 Yao Huang  35 Xiuli Wang  19 Xiaoxi Yang  36   37   38   39 Nan Jiang  36   37   38   39 Wei Wang  40 Tong Wu  21 Dongze Wu  21 Yun Zhu  41 Yakai Fu  3 Jie Chen  3 Ran Wang  3 Xiaojun Liu  7 Dongbin Jiang  7 Huijie Xiao  42 Baige Su  42 Benshan Zhang  43 Fengqi Wu  44 Qiongyi Hu  6 Chengde Yang  6 Meiping Lu  20 Shuang Ye  3 Min Shen  45 Hongmei Song  40 Jianghua Chen  15 Jun Yang  10 Zhihong Liu  22 Xiaomin Yu  1   2 Qing Zhou  1   2
Affiliations

Landscape of somatic mutations in a large cohort of Chinese patients with immune dysregulations

Jinjian Fu et al. Arthritis Rheumatol. .

Abstract

Objective: This study aims to characterize pathogenic somatic mutations in patients with autoinflammatory or autoimmune diseases lacking disease-causing germline mutations, explore their contribution to disease pathogenesis and progression, and evaluate their implications for diagnosis and targeted therapy.

Methods: We performed a systematic analysis of somatic mutations in a selected panel of 185 immune-related genes in 2912 patients with autoinflammatory or autoimmune diseases, recruited from 41 medical centers across China, who were previously negative for germline mutations based on whole exome sequencing (WES).

Results: We identified both previously reported and novel somatic mutations in genes such as UBA1, KRAS and NLRP3. Pathogenic somatic mutations in TNFAIP3 were discovered firstly in the patients with autoinflammatory diseases. The pathogenic somatic mutations detection rate was 1.35% in adults and 0.97% in children, emphasizing the importance of genetic diagnosis and novel gene discovery for somatic mutations. In addition, somatic mutations in Ras-related genes were identified in seven patients and 39 clonal hematopoiesis-associated mutations were identified in 36 adult patients. Moreover, myeloid cells harboring somatic mutations expanded during disease flare and reduced during remission. Disregarding the dynamic elevation of the variant allele fraction during disease progression led to therapeutic failure.

Conclusions: This study delineated the genetic landscape of pathogenic somatic mutations underlying autoinflammatory and autoimmune diseases, offering valuable insights for genetic diagnosis and targeted therapies.

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