<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Pershad Y</submitter><funding>U.S. Department of Health &amp;amp; Human Services | NIH | National Institute of General Medical Sciences</funding><funding>NIDDK NIH HHS</funding><funding>NIA NIH HHS</funding><funding>U.S. Department of Health &amp;amp; Human Services | NIH | National Institute on Aging</funding><funding>NHLBI NIH HHS</funding><funding>Burroughs Wellcome Foundation Career Award for Medical Scientists</funding><funding>NIMHD NIH HHS</funding><funding>U.S. Department of Health &amp;amp; Human Services | NIH | National Heart, Lung, and Blood Institute</funding><funding>NIH HHS</funding><funding>NIGMS NIH HHS</funding><pagination>3800</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11076528</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>15(1)</volume><pubmed_abstract>Clonal hematopoiesis (CH) is characterized by the acquisition of a somatic mutation in a hematopoietic stem cell that results in a clonal expansion. These driver mutations can be single nucleotide variants in cancer driver genes or larger structural rearrangements called mosaic chromosomal alterations (mCAs). The factors that influence the variations in mCA fitness and ultimately result in different clonal expansion rates are not well understood. We used the Passenger-Approximated Clonal Expansion Rate (PACER) method to estimate clonal expansion rate as PACER scores for 6,381 individuals in the NHLBI TOPMed cohort with gain, loss, and copy-neutral loss of heterozygosity mCAs. Our mCA fitness estimates, derived by aggregating per-individual PACER scores, were correlated (R&lt;sup>2&lt;/sup> = 0.4</pubmed_abstract><journal>Nature communications</journal><pubmed_title>Determinants of mosaic chromosomal alteration fitness.</pubmed_title><pmcid>PMC11076528</pmcid><funding_grant_id>R01 DK117445</funding_grant_id><funding_grant_id>R01 AG083736</funding_grant_id><funding_grant_id>R01 HL120393</funding_grant_id><funding_grant_id>R01 HL117626</funding_grant_id><funding_grant_id>T32 GM007347</funding_grant_id><funding_grant_id>R01 MD012765</funding_grant_id><funding_grant_id>U01 HL120393</funding_grant_id><funding_grant_id>HHSN268201800001C</funding_grant_id><funding_grant_id>R01AG083736</funding_grant_id><funding_grant_id>DP5 OD029586</funding_grant_id><funding_grant_id>T32GM007347</funding_grant_id><funding_grant_id>DP5OD029586</funding_grant_id><funding_grant_id>R01 HL105756</funding_grant_id><pubmed_authors>Arnett D</pubmed_authors><pubmed_authors>Pankratz N</pubmed_authors><pubmed_authors>Psaty BM</pubmed_authors><pubmed_authors>Rotter JI</pubmed_authors><pubmed_authors>Roden DM</pubmed_authors><pubmed_authors>Lewis JP</pubmed_authors><pubmed_authors>Chami N</pubmed_authors><pubmed_authors>Johnson AD</pubmed_authors><pubmed_authors>Guo X</pubmed_authors><pubmed_authors>Boerwinkle E</pubmed_authors><pubmed_authors>Desai P</pubmed_authors><pubmed_authors>Pershad Y</pubmed_authors><pubmed_authors>Silverman EK</pubmed_authors><pubmed_authors>Rich SS</pubmed_authors><pubmed_authors>Doyle MF</pubmed_authors><pubmed_authors>Loos RJF</pubmed_authors><pubmed_authors>Weinstock JS</pubmed_authors><pubmed_authors>Cox NJ</pubmed_authors><pubmed_authors>Jakubek YA</pubmed_authors><pubmed_authors>Wang Z</pubmed_authors><pubmed_authors>Scheet PA</pubmed_authors><pubmed_authors>Reiner AP</pubmed_authors><pubmed_authors>Barnes K</pubmed_authors><pubmed_authors>Auer PL</pubmed_authors><pubmed_authors>Stilp AM</pubmed_authors><pubmed_authors>Raffield LM</pubmed_authors><pubmed_authors>Shojaie A</pubmed_authors><pubmed_authors>Franceschini N</pubmed_authors><pubmed_authors>Yun JH</pubmed_authors><pubmed_authors>Redline S</pubmed_authors><pubmed_authors>Cho MH</pubmed_authors><pubmed_authors>Bis JC</pubmed_authors><pubmed_authors>Mathias RA</pubmed_authors><pubmed_authors>Poisner H</pubmed_authors><pubmed_authors>Jaiswal S</pubmed_authors><pubmed_authors>Taub MA</pubmed_authors><pubmed_authors>DeMeo D</pubmed_authors><pubmed_authors>Levy D</pubmed_authors><pubmed_authors>Mack T</pubmed_authors><pubmed_authors>Bick AG</pubmed_authors><pubmed_authors>Fornage M</pubmed_authors><pubmed_authors>Carson AP</pubmed_authors><pubmed_authors>Mitchell BD</pubmed_authors><pubmed_authors>North KE</pubmed_authors></additional><is_claimable>false</is_claimable><name>Determinants of mosaic chromosomal alteration fitness.</name><description>Clonal hematopoiesis (CH) is characterized by the acquisition of a somatic mutation in a hematopoietic stem cell that results in a clonal expansion. These driver mutations can be single nucleotide variants in cancer driver genes or larger structural rearrangements called mosaic chromosomal alterations (mCAs). The factors that influence the variations in mCA fitness and ultimately result in different clonal expansion rates are not well understood. We used the Passenger-Approximated Clonal Expansion Rate (PACER) method to estimate clonal expansion rate as PACER scores for 6,381 individuals in the NHLBI TOPMed cohort with gain, loss, and copy-neutral loss of heterozygosity mCAs. Our mCA fitness estimates, derived by aggregating per-individual PACER scores, were correlated (R&lt;sup>2&lt;/sup> = 0.4</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 May</publication><modification>2026-06-01T20:15:09.51Z</modification><creation>2026-05-20T03:08:36.78Z</creation></dates><accession>S-EPMC11076528</accession><cross_references><pubmed>38714703</pubmed><doi>10.1038/s41467-024-48190-8</doi></cross_references></HashMap>