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Published on: May 26, 2021
Clonal Hematopoiesis of Indeterminate Potential (CHIP) and Incident Type 2 Diabetes Risk
Deirdre K Tobias1,2, Alisa K Manning3,4,5, Jennifer Wessel6
1Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Insights
Clonal hematopoiesis of indeterminate potential (CHIP) increases type 2 diabetes risk. This aging-related condition involves mutations in blood stem cells, highlighting shared pathways with cardiovascular disease.
Area of Science:
- Genetics
- Gerontology
- Endocrinology
Background:
- Clonal hematopoiesis of indeterminate potential (CHIP) is an aging-related condition involving somatic mutations in hematopoietic stem cells.
- CHIP is linked to cardiovascular disease and mortality, but its association with incident type 2 diabetes (T2D) remains unclear.
Conclusions:
- CHIP is associated with a higher incidence of type 2 diabetes.
- The link between CHIP mutations and T2D suggests shared underlying aging-related biological pathways.
- Further research may elucidate the precise mechanisms connecting CHIP and T2D pathogenesis.
Objective:
Clonal hematopoiesis of indeterminate potential (CHIP) is an aging-related accumulation of somatic mutations in hematopoietic stem cells, leading to clonal expansion. CHIP presence has been implicated in atherosclerotic coronary heart disease (CHD) and all-cause mortality, but its association with incident type 2 diabetes (T2D) is unknown. We hypothesized that CHIP is associated with elevated risk of T2D.
Research Design And Methods:
CHIP was derived from whole-genome sequencing of blood DNA in the National Heart, Lung, and Blood Institute Trans-Omics for Precision Medicine (TOPMed) prospective cohorts. We performed analysis for 17,637 participants from six cohorts, without prior T2D, cardiovascular disease, or cancer. We evaluated baseline CHIP versus no CHIP prevalence with incident T2D, including associations with DNMT3A, TET2, ASXL1, JAK2, and TP53 variants. We estimated multivariable-adjusted hazard ratios (HRs) and 95% CIs with adjustment for age, sex, BMI, smoking, alcohol, education, self-reported race/ethnicity, and combined cohorts' estimates via fixed-effects meta-analysis.
Results:
Mean (SD) age was 63.4 (11.5) years, 76% were female, and CHIP prevalence was 6.0% (n = 1,055) at baseline. T2D was diagnosed in n = 2,467 over mean follow-up of 9.8 years. Participants with CHIP had 23% (CI 1.04, 1.45) higher risk of T2D than those with no CHIP. Specifically, higher risk was for TET2 (HR 1.48; CI 1.05, 2.08) and ASXL1 (HR 1.76; CI 1.03, 2.99) mutations; DNMT3A was nonsignificant (HR 1.15; CI 0.93, 1.43). Statistical power was limited for JAK2 and TP53 analyses.
Conclusions:
CHIP was associated with higher incidence of T2D. CHIP mutations located on genes implicated in CHD and mortality were also related to T2D, suggesting shared aging-related pathology.
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