TY - JOUR
T1 - Genetic determinants and genomic consequences of non-leukemogenic somatic point mutations
AU - Weinstock, Joshua S.
AU - Chaudhry, Sharjeel A.
AU - Ioannou, Maria
AU - Viskadourou, Maria
AU - Reventun, Paula
AU - Jakubek, Yasminka A.
AU - Liggett, L. Alexander
AU - Laurie, Cecelia
AU - Broome, Jai G.
AU - Khan, Alyna
AU - Taylor, Kent D.
AU - Guo, Xiuqing
AU - Peyser, Patricia A.
AU - Boerwinkle, Eric
AU - Chami, Nathalie
AU - Kenny, Eimear E.
AU - Loos, Ruth J.
AU - Psaty, Bruce M.
AU - Tracy, Russell P.
AU - Brody, Jennifer A.
AU - Yun, Jeong H.
AU - Cho, Michael H.
AU - Vasan, Ramachandran S.
AU - Kardia, Sharon L.
AU - Smith, Jennifer A.
AU - Raffield, Laura M.
AU - Bidulescu, Aurelian
AU - O’Brien, Emily C.
AU - Sankaran, Vijay G.
AU - Rotter, Jerome I.
AU - Rich, Stephen S.
AU - Chen, Yii Der Ida
AU - Gu, C. Charles
AU - Hsiung, Chao A.
AU - Kooperberg, Charles
AU - Haring, Bernhard
AU - Nassir, Rami
AU - Mathias, Rasika
AU - Reiner, Alex
AU - Sankaran, Vijay G.
AU - Lowenstein, Charles J.
AU - Blackwell, Thomas W.
AU - Abecasis, Goncalo R.
AU - Smith, Albert V.
AU - Kang, Hyun M.
AU - Natarajan, Pradeep
AU - Jaiswal, Siddhartha
AU - Bick, Alexander
AU - Karantanos, Theodoros
AU - Scheet, Paul
AU - Auer, Paul
AU - Karantanos, Theodoros
AU - Battle, Alexis
AU - Arvanitis, Marios
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/12
Y1 - 2025/12
N2 - Clonal hematopoiesis (CH) is defined by the expansion of a lineage of genetically identical cells in blood. Genetic lesions that confer a fitness advantage, such as leukemogenic point mutations or mosaic chromosomal alterations (mCAs), are frequent mediators of CH. However, recent analyses of both single cell-derived colonies of hematopoietic cells and population sequencing cohorts have revealed CH frequently occurs in the absence of known driver genetic lesions. To characterize CH without known driver genetic lesions, we use 51,399 deeply sequenced whole genomes from the NHLBI TOPMed sequencing initiative to perform simultaneous germline and somatic mutation analyses among individuals without leukemogenic point mutations (LPM), which we term CH-LPMneg. We quantify CH by estimating the total mutation burden. Because estimating somatic mutation burden without a paired-tissue sample is challenging, we develop a novel statistical method, the Genomic and Epigenomic informed Mutation (GEM) rate, that uses external genomic and epigenomic data sources to distinguish artifactual signals from true somatic mutations. We perform a genome-wide association study of GEM to discover the germline determinants of CH-LPMneg. We identify seven genes associated with CH-LPMneg (TCL1A, TERT, SMC4, NRIP1, PRDM16, MSRA, SCARB1).Functional analyses of SMC4 and NRIP1 implicated altered hematopoietic stem cell self-renewal and proliferation as the primary mediator of mutation burden in blood. We then perform comprehensive multi-tissue transcriptomic analyses, finding that the expression levels of 404 genes are associated with GEM. Finally, we perform phenotypic association meta-analyses across four cohorts, finding that GEM is associated with increased white blood cell count, but is not significantly associated with incident stroke or coronary disease events. Overall, we develop GEM for quantifying mutation burden from WGS and use GEM to discover the genetic, genomic, and phenotypic correlates of CH-LPMneg.
AB - Clonal hematopoiesis (CH) is defined by the expansion of a lineage of genetically identical cells in blood. Genetic lesions that confer a fitness advantage, such as leukemogenic point mutations or mosaic chromosomal alterations (mCAs), are frequent mediators of CH. However, recent analyses of both single cell-derived colonies of hematopoietic cells and population sequencing cohorts have revealed CH frequently occurs in the absence of known driver genetic lesions. To characterize CH without known driver genetic lesions, we use 51,399 deeply sequenced whole genomes from the NHLBI TOPMed sequencing initiative to perform simultaneous germline and somatic mutation analyses among individuals without leukemogenic point mutations (LPM), which we term CH-LPMneg. We quantify CH by estimating the total mutation burden. Because estimating somatic mutation burden without a paired-tissue sample is challenging, we develop a novel statistical method, the Genomic and Epigenomic informed Mutation (GEM) rate, that uses external genomic and epigenomic data sources to distinguish artifactual signals from true somatic mutations. We perform a genome-wide association study of GEM to discover the germline determinants of CH-LPMneg. We identify seven genes associated with CH-LPMneg (TCL1A, TERT, SMC4, NRIP1, PRDM16, MSRA, SCARB1).Functional analyses of SMC4 and NRIP1 implicated altered hematopoietic stem cell self-renewal and proliferation as the primary mediator of mutation burden in blood. We then perform comprehensive multi-tissue transcriptomic analyses, finding that the expression levels of 404 genes are associated with GEM. Finally, we perform phenotypic association meta-analyses across four cohorts, finding that GEM is associated with increased white blood cell count, but is not significantly associated with incident stroke or coronary disease events. Overall, we develop GEM for quantifying mutation burden from WGS and use GEM to discover the genetic, genomic, and phenotypic correlates of CH-LPMneg.
UR - https://www.scopus.com/pages/publications/105019413951
UR - https://www.scopus.com/pages/publications/105019413951#tab=citedBy
U2 - 10.1038/s41467-025-64236-x
DO - 10.1038/s41467-025-64236-x
M3 - Article
C2 - 41102182
AN - SCOPUS:105019413951
SN - 2041-1723
VL - 16
JO - Nature communications
JF - Nature communications
IS - 1
M1 - 9194
ER -