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Updated: May 16, 2025

Characterizing Mutational Load and Clonal Composition of Human Blood
Published on: July 11, 2019
Peripheral blood somatic mosaicism and clonal hematopoiesis across ancestry backgrounds
Christelle Colin-Leitzinger1, Yi-Han Tang1,2, Mingxiang Teng2
1Department of Cancer Epidemiology, Moffitt Cancer Center and Research Institute, Tampa, FL.
Insights
Somatic mosaicism (SM) and clonal hematopoiesis (CH) prevalence varies significantly across diverse ancestries and sexes. Understanding these genetic differences is crucial for personalized medicine and cancer research.
Area of Science:
- Genetics
- Genomics
- Oncology
Background:
- Somatic mosaicism (SM) and clonal hematopoiesis (CH) are age-related genetic alterations in blood cells.
- CH is linked to increased risks of hematologic malignancies and cardiovascular disease.
- Existing research on CH is heavily biased towards individuals of European ancestry.
Purpose of the Study:
- To catalog somatic mosaicism and clonal hematopoiesis variants across diverse genetic ancestries.
- To investigate the prevalence of CH and myeloid/lymphoid CH (M-CHIP/L-CHIP) variants across different ancestral groups.
- To explore the association of CH variants with cancer, including solid tumors and hematologic malignancies.
Main Methods:
- Whole exome sequencing of peripheral blood from 125,748 individuals of diverse ancestries.
- Identification of SM mutations using low variant allele frequency distributions.
- Detection of CH variants based on age-skewing and analysis of pathogenic variants in M-CHIP and L-CHIP.
- Linking CH variants to a cancer database to assess prevalence in tumors.
Main Results:
- Cataloged over 500,000 SM mutations and 89,000 CH variants.
- CH and M-CHIP variants were most prevalent in individuals of European non-Finnish ancestry; males showed a trend toward more M-CHIP variants.
- Significant ancestry-specific differences were observed in CH variant prevalence (e.g., NF1 in African/African American, TP53 in European, CUX1 in Asian/Latino).
- CH variants were found in 14% of patient tumors, with 25-40% prevalence in some solid tumors.
- M-CHIP variants in solid tumors were associated with younger age at diagnosis compared to hematologic malignancies.
Conclusions:
- This study provides a comprehensive catalog of SM, CH, and CHIP variants across diverse populations.
- Identified significant ancestry and sex-based differences in CH prevalence and specific gene mutations.
- Findings underscore the importance of considering genetic diversity in clinical care, drug discovery, and research design for generalizability.
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 were 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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