Epigenome-wide DNA methylation association study of CHIP provides insight into perturbed gene regulation

S Sara Kirmani T Tianxiao Huan J Joseph C. Van Amburg R Roby Joehanes (Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.) M Md Mesbah Uddin N Ngoc Quynh H. Nguyen B Bing Yu (College of Chemistry and Materials Science, Guangdong Provincial Key Laboratory of Supramolecular Coordination Chemistry) J Jennifer A. Brody M Myriam Fornage J Jan Bressler N Nona Sotoodehnia D David A. Ong F Fabio Puddu J James S. Floyd C Christie M. Ballantyne (Texas Heart Institute at Baylor College of Medicine, Houston) B Bruce M. Psaty L Laura M. Raffield (Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.) P Pradeep Natarajan K Karen N. Conneely J Joshua S. Weinstock (Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.) A April P. Carson L Leslie A. Lange K Kendra Ferrier N Nancy L. Heard-Costa J Joanne Murabito A Alexander G. Bick D Daniel Levy (Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.)

Abstract

Abstract With age, hematopoietic stem cells can acquire somatic mutations in leukemogenic genes that confer a proliferative advantage in a phenomenon termed CHIP. How these mutations result in increased risk for numerous age-related diseases remains poorly understood. We conduct a multiracial meta-analysis of EWAS of CHIP in the Framingham Heart Study, Jackson Heart Study, Cardiovascular Health Study, and Atherosclerosis Risk in Communities cohorts ( N  = 8196) to elucidate the molecular mechanisms underlying CHIP and illuminate how these changes influence cardiovascular disease risk. We functionally validate the EWAS findings using human hematopoietic stem cell models of CHIP. We then use expression quantitative trait methylation analysis to identify transcriptomic changes associated with CHIP-associated CpGs. Causal inference analyses reveal 261 CHIP-associated CpGs associated with cardiovascular traits and all-cause mortality (FDR adjusted p -value < 0.05). Taken together, our study reports the epigenetic changes impacted by CHIP and their associations with age-related disease outcomes.

Article Details

Volume / Issue Vol. 16, Issue 1
Published May 20, 2025
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (27)

S

Sara Kirmani

T

Tianxiao Huan

J

Joseph C. Van Amburg

R

Roby Joehanes

Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.

M

Md Mesbah Uddin

N

Ngoc Quynh H. Nguyen

B

Bing Yu

College of Chemistry and Materials Science, Guangdong Provincial Key Laboratory of Supramolecular Coordination Chemistry

J

Jennifer A. Brody

M

Myriam Fornage

J

Jan Bressler

N

Nona Sotoodehnia

D

David A. Ong

F

Fabio Puddu

J

James S. Floyd

C

Christie M. Ballantyne

Texas Heart Institute at Baylor College of Medicine, Houston

B

Bruce M. Psaty

L

Laura M. Raffield

Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

P

Pradeep Natarajan

K

Karen N. Conneely

J

Joshua S. Weinstock

Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.

A

April P. Carson

L

Leslie A. Lange

K

Kendra Ferrier

N

Nancy L. Heard-Costa

J

Joanne Murabito

A

Alexander G. Bick

D

Daniel Levy

Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.