Genetic determinants and genomic consequences of non-leukemogenic somatic point mutations

  • Joshua S. Weinstock
  • , Sharjeel A. Chaudhry
  • , Maria Ioannou
  • , Maria Viskadourou
  • , Paula Reventun
  • , Yasminka A. Jakubek
  • , L. Alexander Liggett
  • , Cecelia Laurie
  • , Jai G. Broome
  • , Alyna Khan
  • , Kent D. Taylor
  • , Xiuqing Guo
  • , Patricia A. Peyser
  • , Eric Boerwinkle
  • , Nathalie Chami
  • , Eimear E. Kenny
  • , Ruth J. Loos
  • , Bruce M. Psaty
  • , Russell P. Tracy
  • , Jennifer A. Brody
  • Jeong H. Yun, Michael H. Cho, Ramachandran S. Vasan, Sharon L. Kardia, Jennifer A. Smith, Laura M. Raffield, Aurelian Bidulescu, Emily C. O’Brien, Vijay G. Sankaran, Jerome I. Rotter, Stephen S. Rich, Yii Der Ida Chen, C. Charles Gu, Chao A. Hsiung, Charles Kooperberg, Bernhard Haring, Rami Nassir, Rasika Mathias, Alex Reiner, Vijay G. Sankaran, Charles J. Lowenstein, Thomas W. Blackwell, Goncalo R. Abecasis, Albert V. Smith, Hyun M. Kang, Pradeep Natarajan, Siddhartha Jaiswal, Alexander Bick, Theodoros Karantanos, Paul Scheet, Paul Auer, Theodoros Karantanos, Alexis Battle, Marios Arvanitis

Producción científica: Articlerevisión exhaustiva

Resumen

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.

Idioma originalEnglish (US)
Número de artículo9194
PublicaciónNature communications
Volumen16
N.º1
DOI
EstadoPublished - dic 2025

ASJC Scopus subject areas

  • General Chemistry
  • General Biochemistry, Genetics and Molecular Biology
  • General
  • General Physics and Astronomy

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