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A practical approach to curate clonal hematopoiesis of indeterminate potential in human genetic data sets

Vlasschaert, Caitlyn (author)
Queen's University at Kingston
Mack, Taralynn (author)
Vanderbilt University Medical Center
Heimlich, J. Brett (author)
Vanderbilt University Medical Center
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Niroula, Abhishek (author)
Lund University,Lunds universitet,Hematogenomics,Forskargrupper vid Lunds universitet,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Lund University Research Groups,LUCC: Lund University Cancer Centre,Other Strong Research Environments,Broad Institute,Dana-Farber Cancer Institute
Uddin, Md Mesbah (author)
Massachusetts General Hospital,Broad Institute
Weinstock, Joshua (author)
University of Michigan
Sharber, Brian (author)
Vanderbilt University Medical Center
Silver, Alexander J. (author)
Vanderbilt University
Xu, Yaomin (author)
Vanderbilt University
Savona, Michael (author)
Vanderbilt University
Gibson, Christopher (author)
Harvard Medical School
Lanktree, Matthew B. (author)
St Joseph’s Healthcare Hamilton,McMaster University
Rauh, Michael J. (author)
Ebert, Benjamin L. (author)
Broad Institute,Harvard Medical School,Howard Hughes Medical Institute
Natarajan, Pradeep (author)
Massachusetts General Hospital,Harvard Medical School,Broad Institute
Jaiswal, Siddhartha (author)
Stanford University
Bick, Alexander G. (author)
Vanderbilt University Medical Center,Vanderbilt University
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 (creator_code:org_t)
2023-01-18
2023
English 10 s.
In: Blood. - : American Society of Hematology. - 0006-4971 .- 1528-0020. ; 141:18, s. 2214-2223
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Clonal hematopoiesis of indeterminate potential (CHIP) is a common form of age-related somatic mosaicism that is associated with significant morbidity and mortality. CHIP mutations can be identified in peripheral blood samples that are sequenced using approaches that cover the whole genome, the whole exome, or targeted genetic regions; however, differentiating true CHIP mutations from sequencing artifacts and germ line variants is a considerable bioinformatic challenge. We present a stepwise method that combines filtering based on sequencing metrics, variant annotation, and population-based associations to increase the accuracy of CHIP calls. We apply this approach to ascertain CHIP in ∼550 000 individuals in the UK Biobank complete whole exome cohort and the All of Us Research Program initial whole genome release cohort. CHIP ascertainment on this scale unmasks recurrent artifactual variants and highlights the importance of specialized filtering approaches for several genes, including TET2 and ASXL1. We show how small changes in filtering parameters can considerably increase CHIP misclassification and reduce the effect size of epidemiological associations. Our high-fidelity call set refines previous population-based associations of CHIP with incident outcomes. For example, the annualized incidence of myeloid malignancy in individuals with small CHIP clones is 0.03% per year, which increases to 0.5% per year among individuals with very large CHIP clones. We also find a significantly lower prevalence of CHIP in individuals of self-reported Latino or Hispanic ethnicity in All of Us, highlighting the importance of including diverse populations. The standardization of CHIP calling will increase the fidelity of CHIP epidemiological work and is required for clinical CHIP diagnostic assays.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Medicinska och farmaceutiska grundvetenskaper -- Medicinsk genetik (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Basic Medicine -- Medical Genetics (hsv//eng)

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