@article {8839, title = {Supplemental Association of Clonal Hematopoiesis With Incident Heart~Failure.}, journal = {J Am Coll Cardiol}, volume = {78}, year = {2021}, month = {2021 07 06}, pages = {42-52}, abstract = {

BACKGROUND: Age-related clonal hematopoiesis of indeterminate potential (CHIP), defined as clonally expanded leukemogenic sequence variations (particularly in DNMT3A, TET2, ASXL1, and JAK2) in asymptomatic individuals, is associated with cardiovascular events, including recurrent heart failure (HF).

OBJECTIVES: This study sought to evaluate whether CHIP is associated with incident HF.

METHODS: CHIP status was obtained from whole exome or genome sequencing of blood DNA in participants without prevalent HF or hematological malignancy from 5 cohorts. Cox proportional hazards models were performed within each cohort, adjusting for demographic and clinical risk factors, followed by fixed-effect meta-analyses. Large CHIP clones (defined as variant allele frequency >10\%), HF with or without baseline coronary heart disease, and left ventricular ejection fraction were evaluated in secondary analyses.

RESULTS: Of 56,597 individuals (59\% women, mean age 58 years at baseline), 3,406 (6\%) had CHIP, and 4,694 developed HF (8.3\%) over up to 20 years of follow-up. CHIP was prospectively associated with a 25\% increased risk of HF in meta-analysis (hazard ratio: 1.25; 95\% confidence interval: 1.13-1.38) with consistent associations across cohorts. ASXL1, TET2, and JAK2 sequence variations were each associated with an increased risk of HF, whereas DNMT3A sequence variations were not associated with HF. Secondary analyses suggested large CHIP was associated with a greater risk of HF (hazard ratio: 1.29; 95\% confidence interval: 1.15-1.44), and the associations for CHIP on HF with and without prior coronary heart disease were homogenous. ASXL1 sequence variations were associated with reduced left ventricular ejection fraction.

CONCLUSIONS: CHIP, particularly sequence variations in ASXL1, TET2, and JAK2, represents a new risk factor for HF.

}, keywords = {Aged, Clonal Hematopoiesis, Correlation of Data, Demography, DNA-Binding Proteins, Female, Heart Failure, Humans, Janus Kinase 2, Male, Middle Aged, Mutation, Proportional Hazards Models, Proto-Oncogene Proteins, Repressor Proteins, Risk Factors, Stroke Volume, Ventricular Dysfunction, Left, Whole Exome Sequencing}, issn = {1558-3597}, doi = {10.1016/j.jacc.2021.04.085}, author = {Yu, Bing and Roberts, Mary B and Raffield, Laura M and Zekavat, Seyedeh Maryam and Nguyen, Ngoc Quynh H and Biggs, Mary L and Brown, Michael R and Griffin, Gabriel and Desai, Pinkal and Correa, Adolfo and Morrison, Alanna C and Shah, Amil M and Niroula, Abhishek and Uddin, Md Mesbah and Honigberg, Michael C and Ebert, Benjamin L and Psaty, Bruce M and Whitsel, Eric A and Manson, JoAnn E and Kooperberg, Charles and Bick, Alexander G and Ballantyne, Christie M and Reiner, Alex P and Natarajan, Pradeep and Eaton, Charles B} } @article {9983, title = {Epigenome-wide DNA methylation association study of CHIP provides insight into perturbed gene regulation.}, journal = {Nat Commun}, volume = {16}, year = {2025}, month = {2025 May 20}, pages = {4678}, 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.

}, keywords = {Aged, Atherosclerosis, Cardiovascular Diseases, CpG Islands, DNA Methylation, Epigenesis, Genetic, Epigenome, Female, Gene Expression Regulation, Genome-Wide Association Study, Hematopoietic Stem Cells, Humans, Male, Middle Aged}, issn = {2041-1723}, doi = {10.1038/s41467-025-59333-w}, author = {Kirmani, Sara and Huan, Tianxiao and Van Amburg, Joseph C and Joehanes, Roby and Uddin, Md Mesbah and Nguyen, Ngoc Quynh H and Yu, Bing and Brody, Jennifer A and Fornage, Myriam and Bressler, Jan and Sotoodehnia, Nona and Ong, David A and Puddu, Fabio and Floyd, James S and Ballantyne, Christie M and Psaty, Bruce M and Raffield, Laura M and Natarajan, Pradeep and Conneely, Karen N and Weinstock, Joshua S and Carson, April P and Lange, Leslie A and Ferrier, Kendra and Heard-Costa, Nancy L and Murabito, Joanne and Bick, Alexander G and Levy, Daniel} }