Independent associations of clonal hematopoiesis of indeterminate potential and mosaic Y loss with all-cause and cause-specific mortality in men

Clonal hematopoiesis of indeterminate potential (CHIP) and mosaic loss of the Y chromosome (mLOY) are age-related somatic genomic mutations linked to mortality, yet their independent and combined associations with mortality remain incompletely characterized. We analyzed 205,543 UK Biobank men with CHIP and mLOY status derived from genomic data and followed them for all-cause and cause-specific mortality. During a median follow-up of 15.3 years, 28,164 deaths occurred. In multivariable Cox models, CHIP was associated with higher all-cause mortality (HR 1.34, 95% CI 1.28–1.41), whereas mLOY showed a weaker association (HR 1.04, 95% CI 1.01–1.06). Men with both CHIP and mLOY had the highest absolute mortality risk (HR 1.39, 95% CI 1.27–1.52), but formal tests did not support statistically significant additive or multiplicative interaction. Similar patterns were observed across major cause-specific outcomes including cardiovascular disease mortality, cancer mortality, and respiratory mortality. Exploratory gene-specific analyses suggested heterogeneity by CHIP driver gene, with SRSF2 carriers with co-occurring mLOY showing the largest mortality estimate, although this small-subgroup finding requires replication. These findings support independent associations of CHIP and mLOY with mortality in men, while providing no clear evidence for synergistic interaction.

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Publication Details

Journal
npj Aging
Published
2026-08-25
DOI
https://doi.org/10.1038/s41514-026-00497-0
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00

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article

Independent associations of clonal hematopoiesis of indeterminate potential and mosaic Y loss with all-cause and cause-specific mortality in men

Yuefeng Yu, Lingli Cai, Ningjian Wang, Yingli Lu et al.
npj Aging
Genetic Associations and Epidemiology
article

Independent associations of clonal hematopoiesis of indeterminate potential and mosaic Y loss with all-cause and cause-specific mortality in men

Yuefeng Yu, Lingli Cai, Ningjian Wang, Yingli Lu, Chaoxia Zhu, Xiao Tan, Ying Sun, Fangzhen Xia, Yuying Wang
article en

Abstract

Clonal hematopoiesis of indeterminate potential (CHIP) and mosaic loss of the Y chromosome (mLOY) are age-related somatic genomic mutations linked to mortality, yet their independent and combined associations with mortality remain incompletely characterized. We analyzed 205,543 UK Biobank men with CHIP and mLOY status derived from genomic data and followed them for all-cause and cause-specific mortality. During a median follow-up of 15.3 years, 28,164 deaths occurred. In multivariable Cox models, CHIP was associated with higher all-cause mortality (HR 1.34, 95% CI 1.28–1.41), whereas mLOY showed a weaker association (HR 1.04, 95% CI 1.01–1.06). Men with both CHIP and mLOY had the highest absolute mortality risk (HR 1.39, 95% CI 1.27–1.52), but formal tests did not support statistically significant additive or multiplicative interaction. Similar patterns were observed across major cause-specific outcomes including cardiovascular disease mortality, cancer mortality, and respiratory mortality. Exploratory gene-specific analyses suggested heterogeneity by CHIP driver gene, with SRSF2 carriers with co-occurring mLOY showing the largest mortality estimate, although this small-subgroup finding requires replication. These findings support independent associations of CHIP and mLOY with mortality in men, while providing no clear evidence for synergistic interaction.

npj Aging
Uppsala University (SE), Henan University of Science and Technology (CN), Second Military Medical University (CN), Shanghai Jiao Tong University (CN), Shanghai Ninth People's Hospital (CN), First Affiliated Hospital of Henan University of Science and Technology (CN), Shanghai Pudong New Area Gongli Hospital (CN), Zhejiang University (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 10%
Genetic Associations and Epidemiology
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