Ancestry-dependent patterns of somatic mosaicism and clonal hematopoiesis mutations in over 125,000 individuals reveal distinct cancer associations

Somatic mosaicism (SM), the presence of somatic mutations, is classified as clonal hematopoiesis (CH) when it occurs in hematopoietic cells at an age-related rate. CH is associated with risk for hematologic malignancies and cardiovascular disease, but most studies are predominately based on individuals of European ancestry. Using peripheral blood whole exome sequencing data from 125,748 individuals of diverse genetic ancestries, we cataloged 503,703 SM mutations based on low variant allele frequency distributions and 89,361 CH variants based on age-skewing. We examined CH prevalence across ancestry groups, including commonly recognized pathogenic variants in myeloid (M-CHIP) and lymphoid (L-CHIP) malignancies. CH and M-CHIP variants had the highest prevalence in the European non-Finnish ancestry group, and males trended toward more M-CHIP variants. Ancestry differences in CH included more mutations in NF1 in African/African American, TP53 in European, and CUX1 in Asian and Latino/Admixed American ancestry groups. Linking the identified CH variants to a cancer database, CH was detected in 14% (55,190/391,102) of patient tumors. Prevalence of CH variants in some solid tumors ranged from 25% − 40%. M-CHIP variants in solid tumors were associated with younger age (61 vs. 63, p < 0.001), while M-CHIP in hematologic malignancies was linked to older age (60 vs. 50, p < 0.001), suggesting differences in disease biology. This study provides a catalog of SM, CH, and CHIP variants across diverse ancestry groups, highlighting differences that are important to inform clinical care, drug discovery, and study design to maximize generalizability across individuals.

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Publication Details

Journal
Human Genomics
Published
2025-12-02
DOI
https://doi.org/10.1186/s40246-025-00847-1
Citations
1
Primary Topic
Acute Myeloid Leukemia Research
Type
article
Field-Weighted Citation Impact
1.77

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article

Ancestry-dependent patterns of somatic mosaicism and clonal hematopoiesis mutations in over 125,000 individuals reveal distinct cancer associations

Christelle Colin, Yi-Han Tang, Mingxiang Teng, Nancy Gillis
1 citations
Human Genomics
Acute Myeloid Leukemia Research
1.77
article

Ancestry-dependent patterns of somatic mosaicism and clonal hematopoiesis mutations in over 125,000 individuals reveal distinct cancer associations

Christelle Colin, Yi-Han Tang, Mingxiang Teng, Nancy Gillis
article en
1 citations

Abstract

Somatic mosaicism (SM), the presence of somatic mutations, is classified as clonal hematopoiesis (CH) when it occurs in hematopoietic cells at an age-related rate. CH is associated with risk for hematologic malignancies and cardiovascular disease, but most studies are predominately based on individuals of European ancestry. Using peripheral blood whole exome sequencing data from 125,748 individuals of diverse genetic ancestries, we cataloged 503,703 SM mutations based on low variant allele frequency distributions and 89,361 CH variants based on age-skewing. We examined CH prevalence across ancestry groups, including commonly recognized pathogenic variants in myeloid (M-CHIP) and lymphoid (L-CHIP) malignancies. CH and M-CHIP variants had the highest prevalence in the European non-Finnish ancestry group, and males trended toward more M-CHIP variants. Ancestry differences in CH included more mutations in NF1 in African/African American, TP53 in European, and CUX1 in Asian and Latino/Admixed American ancestry groups. Linking the identified CH variants to a cancer database, CH was detected in 14% (55,190/391,102) of patient tumors. Prevalence of CH variants in some solid tumors ranged from 25% − 40%. M-CHIP variants in solid tumors were associated with younger age (61 vs. 63, p < 0.001), while M-CHIP in hematologic malignancies was linked to older age (60 vs. 50, p < 0.001), suggesting differences in disease biology. This study provides a catalog of SM, CH, and CHIP variants across diverse ancestry groups, highlighting differences that are important to inform clinical care, drug discovery, and study design to maximize generalizability across individuals.

Human GenomicsVol. 19(1)
Moffitt Cancer Center (US)
Moffitt Cancer Center, National Cancer Institute, National Institute of General Medical Sciences
Openalex Percentile: Top 11%
Acute Myeloid Leukemia Research
1.77
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