Clonal haematopoiesis subtypes confer dose-dependent risk of serious bacterial infection

Clonal haematopoiesis (CH) arises from somatic mutations in haematopoietic stem cells that drive clonal expansion and increase haematological malignancy risk. Here we show that CH confers mutation- and dose-dependent risk of serious bacterial infection (SBI). Using a multi-parameter somatic variant calling and filtering approach, we identified 19,822 mutations across 43 CH genes in 40,560 of 590,537 individuals from three population cohorts (6.87%), validated in a combined analysis of 889,215 individuals. CH was associated with SBI development (HR = 1.22, P = 4.66 × 10⁻²⁹) and 28-day post-infection mortality (RR = 1.84, P = 0.0012), independent of malignancy and robust to adjustment for inflammatory comorbidities and ancestry. Recurrent mutations in SRSF2, DNMT3A, SF3B1, IDH2, and NRAS (n = 2143) conferred substantial absolute risks: 22–25% of individuals with expanded SRSF2 P95 clones developed SBI within 10 years. These associations were consistent across diverse populations and largely independent of bacterial strain. Fewings et al. show that clonal haematopoiesis confers subtype- and dose-dependent risk of serious bacterial infection, with splicing-factor mutations carrying the greatest hazard, validated across five biobank cohorts totalling 889,215 individuals.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2026-10-07
DOI
https://doi.org/10.1038/s41467-026-77934-x
Primary Topic
Acute Myeloid Leukemia Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Clonal haematopoiesis subtypes confer dose-dependent risk of serious bacterial infection

Alexander G. Bick, Kyle Kai‐How Farh, Zhi Yu, Jeremy Schwartzentruber et al.
Nature Communications
Acute Myeloid Leukemia Research
article

Clonal haematopoiesis subtypes confer dose-dependent risk of serious bacterial infection

Alexander G. Bick, Kyle Kai‐How Farh, Zhi Yu, Jeremy Schwartzentruber, Pradeep Natarajan, Jeremy F. McRae, Caleb A. Lareau, Jacob C. Ulirsch, Jacob C. Gutierrez, Buu Minh Thanh Truong, Eleanor Fewings, Petko P. Fiziev
article en

Abstract

Clonal haematopoiesis (CH) arises from somatic mutations in haematopoietic stem cells that drive clonal expansion and increase haematological malignancy risk. Here we show that CH confers mutation- and dose-dependent risk of serious bacterial infection (SBI). Using a multi-parameter somatic variant calling and filtering approach, we identified 19,822 mutations across 43 CH genes in 40,560 of 590,537 individuals from three population cohorts (6.87%), validated in a combined analysis of 889,215 individuals. CH was associated with SBI development (HR = 1.22, P = 4.66 × 10⁻²⁹) and 28-day post-infection mortality (RR = 1.84, P = 0.0012), independent of malignancy and robust to adjustment for inflammatory comorbidities and ancestry. Recurrent mutations in SRSF2, DNMT3A, SF3B1, IDH2, and NRAS (n = 2143) conferred substantial absolute risks: 22–25% of individuals with expanded SRSF2 P95 clones developed SBI within 10 years. These associations were consistent across diverse populations and largely independent of bacterial strain. Fewings et al. show that clonal haematopoiesis confers subtype- and dose-dependent risk of serious bacterial infection, with splicing-factor mutations carrying the greatest hazard, validated across five biobank cohorts totalling 889,215 individuals.

Nature Communications
Broad Institute (US), Memorial Sloan Kettering Cancer Center (US), Harvard University (US), Illumina (United States) (US), VA Boston Healthcare System (US), Massachusetts General Hospital (US), Vanderbilt University Medical Center (US)
Openalex Percentile: Top 12%
Acute Myeloid Leukemia Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.