Associations between Ambient Air Pollutants and Clonal Hematopoiesis of Indeterminate Potential

Author:

Leiser Claire L.1ORCID,Whitsel Eric A.2ORCID,Reiner Alexander1ORCID,Rich Stephen S.3ORCID,Rotter Jerome I.4ORCID,Taylor Kent D.4ORCID,Tracy Russel P.5ORCID,Kooperberg Charles6ORCID,Smith Albert Vernon7ORCID,Manson JoAnn E.8ORCID,Mychaleckyj Josyf C.3ORCID,Bick Alexander G.9ORCID,Szpiro Adam A.10ORCID,Kaufman Joel D.111ORCID

Affiliation:

1. 1Department of Epidemiology, University of Washington, Seattle, Washington.

2. 2Departments of Epidemiology and Medicine, University of North Carolina Chapel Hill, Chapel Hill, North Carolina.

3. 3Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia.

4. 4The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California.

5. 5Department of Pathology and Laboratory Medicine, University of Vermont, Burlington, Vermont.

6. 6Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.

7. 7Department of Biostatistics, University of Michigan, Ann Arbor, Michigan.

8. 8Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.

9. 9School of Medicine, Vanderbilt University, Nashville, Tennessee.

10. 10Department of Biostatistics, University of Washington, Seattle, Washington.

11. 11Department of Occupational and Environmental Health Sciences, Seattle, Washington.

Abstract

Abstract Background: Clonal hematopoiesis of indeterminate potential (CHIP) is an age-related somatic mutation associated with incident hematologic cancer. Environmental stressors which, like air pollution, generate oxidative stress at the cellular level, may induce somatic mutations and some mutations may provide a selection advantage for persistence and expansion of specific clones. Methods: We used data from the Multi-Ethnic Study of Atherosclerosis (MESA) N = 4,379 and the Women's Health Initiative (WHI) N = 7,701 to estimate cross-sectional associations between annual average air pollution concentrations at participant address the year before blood draw using validated spatiotemporal models. We used covariate-adjusted logistic regression to estimate risk of CHIP per interquartile range increases in particulate matter (PM2.5; 4 μg/m3) and nitrogen dioxide (NO2; 10 ppb) as ORs (95% confidence intervals). Results: Prevalence of CHIP at blood draw (variant allele fraction > 2%) was 4.4% and 8.7% in MESA and WHI, respectively. The most common CHIP driver mutation was in DNMT3A. Neither pollutant was associated with CHIP: ORMESA PM2.5 = 1.00 (0.68–1.45), ORMESA NO2 = 1.05 (0.69–1.61), ORWHI PM2.5 = 0.97 (0.86–1.09), ORWHI NO2 = 0.98 (0.88–1.10); or with DNMT3A-driven CHIP. Conclusions: We did not find evidence that air pollution contributes to CHIP prevalence in two large observational cohorts. Impact: This is the first study to estimate associations between air pollution and CHIP.

Publisher

American Association for Cancer Research (AACR)

Subject

Oncology,Epidemiology

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