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      Error-corrected ultradeep next-generation sequencing for detection of clonal haematopoiesis and haematological neoplasms – sensitivity, specificity and accuracy

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          Abstract

          Clonal haematopoiesis of indeterminate potential (CHIP) is an aging-associated phenomenon that has recently been correlated with a broad spectrum of human diseases, including haematological malignancy, cytopenia, coronary heart disease, stroke, and overall mortality. CHIP is defined as a somatic variant in blood cells with an allele frequency (VAF) ≥ 0.02, however recent reports show smaller clones are associated with poorer clinical outcome. Error-corrected ultradeep next-generation sequencing (NGS) assays detecting variants < 0.02 VAF also have clinical value for monitoring measurable residual disease (MRD) for myeloid neoplasms. However, limited data are available on optimal parameters, limits of detection, and accuracy of ultra-sensitive detection. We investigated parameters to improve accuracy of Illumina sequencing-by-synthesis method, including read depth, input DNA quantity, and molecular barcoding-based data filtering, while adhering to clinical accreditation criteria. Validation data were generated from reference standards and reference samples from a clinically accredited pathology laboratory. Analytical range measurements included linearity and bias, and precision included repeatability, reproducibility and detection rate. The lower limit of detection was ≥ 0.004 (0.4%) at depth > 3,000 × . Trueness measured using reference standards demonstrated a sensitivity, specificity, positive and negative predictive values, and accuracy of 100%, including FLT3-ITD, and 100% concordance was achieved with reference samples for reported variants and absence of variants. Sequencing blood samples from 383 community-dwelling adults (mean depth 3758×) revealed 2,190 somatic variants/sample, > 99.9% were < 0.02 VAF. Our data including cost-benefit analysis enables pathology and research laboratories to make informed decisions for detection of CHIP (VAF ≥ 0.02), sub-CHIP (VAF 0.01–0.02) and MRD (VAF ≥ 0.004).

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          Age-related clonal hematopoiesis associated with adverse outcomes.

          The incidence of hematologic cancers increases with age. These cancers are associated with recurrent somatic mutations in specific genes. We hypothesized that such mutations would be detectable in the blood of some persons who are not known to have hematologic disorders. We analyzed whole-exome sequencing data from DNA in the peripheral-blood cells of 17,182 persons who were unselected for hematologic phenotypes. We looked for somatic mutations by identifying previously characterized single-nucleotide variants and small insertions or deletions in 160 genes that are recurrently mutated in hematologic cancers. The presence of mutations was analyzed for an association with hematologic phenotypes, survival, and cardiovascular events. Detectable somatic mutations were rare in persons younger than 40 years of age but rose appreciably in frequency with age. Among persons 70 to 79 years of age, 80 to 89 years of age, and 90 to 108 years of age, these clonal mutations were observed in 9.5% (219 of 2300 persons), 11.7% (37 of 317), and 18.4% (19 of 103), respectively. The majority of the variants occurred in three genes: DNMT3A, TET2, and ASXL1. The presence of a somatic mutation was associated with an increase in the risk of hematologic cancer (hazard ratio, 11.1; 95% confidence interval [CI], 3.9 to 32.6), an increase in all-cause mortality (hazard ratio, 1.4; 95% CI, 1.1 to 1.8), and increases in the risks of incident coronary heart disease (hazard ratio, 2.0; 95% CI, 1.2 to 3.4) and ischemic stroke (hazard ratio, 2.6; 95% CI, 1.4 to 4.8). Age-related clonal hematopoiesis is a common condition that is associated with increases in the risk of hematologic cancer and in all-cause mortality, with the latter possibly due to an increased risk of cardiovascular disease. (Funded by the National Institutes of Health and others.).
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            Clonal hematopoiesis and blood-cancer risk inferred from blood DNA sequence.

            Cancers arise from multiple acquired mutations, which presumably occur over many years. Early stages in cancer development might be present years before cancers become clinically apparent. We analyzed data from whole-exome sequencing of DNA in peripheral-blood cells from 12,380 persons, unselected for cancer or hematologic phenotypes. We identified somatic mutations on the basis of unusual allelic fractions. We used data from Swedish national patient registers to follow health outcomes for 2 to 7 years after DNA sampling. Clonal hematopoiesis with somatic mutations was observed in 10% of persons older than 65 years of age but in only 1% of those younger than 50 years of age. Detectable clonal expansions most frequently involved somatic mutations in three genes (DNMT3A, ASXL1, and TET2) that have previously been implicated in hematologic cancers. Clonal hematopoiesis was a strong risk factor for subsequent hematologic cancer (hazard ratio, 12.9; 95% confidence interval, 5.8 to 28.7). Approximately 42% of hematologic cancers in this cohort arose in persons who had clonality at the time of DNA sampling, more than 6 months before a first diagnosis of cancer. Analysis of bone marrow-biopsy specimens obtained from two patients at the time of diagnosis of acute myeloid leukemia revealed that their cancers arose from the earlier clones. Clonal hematopoiesis with somatic mutations is readily detected by means of DNA sequencing, is increasingly common as people age, and is associated with increased risks of hematologic cancer and death. A subset of the genes that are mutated in patients with myeloid cancers is frequently mutated in apparently healthy persons; these mutations may represent characteristic early events in the development of hematologic cancers. (Funded by the National Human Genome Research Institute and others.).
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              Clonal Hematopoiesis and Risk of Atherosclerotic Cardiovascular Disease

              Background Clonal hematopoiesis of indeterminate potential (CHIP), defined by the presence of an expanded somatic blood cell clone in those without other hematologic abnormalities, is common in older individuals and associates with an increased risk of developing hematologic cancer. We previously found preliminary evidence for an association of CHIP with human atherosclerotic cardiovascular disease, but the nature of this association was unclear. Methods We used whole exome sequencing to detect the presence of CHIP in peripheral blood cells and associated this with coronary heart disease in four case-control studies together comprising 4,794 cases and 3,537 controls. To assess causality, we perturbed the function of Tet2, the second most commonly mutated gene linked to clonal hematopoiesis, in the hematopoietic cells of atherosclerosis-prone mice. Results In nested case-control analyses from two prospective cohorts, carriers of CHIP had a 1.9-fold (95% confidence interval 1.4–2.7) increased risk of coronary heart disease compared to non-carriers. In two retrospective case-control cohorts for early-onset myocardial infarction, those with CHIP had a 4.0-fold greater risk (95% confidence interval 2.4–6.7) of having myocardial infarction. Mutations in DNMT3A, TET2, ASXL1, and JAK2 were each individually associated with coronary heart disease. Those with clonal hematopoiesis also had increased coronary artery calcification, a marker of coronary atherosclerosis burden. Hyperlipidemic mice engrafted with Tet2−/− or Tet2+/− bone marrow developed larger atherosclerotic lesions in the aortic root and aorta than mice receiving control marrow. Analyses of Tet2−/− macrophages demonstrated elevated expression of several chemokine and cytokine genes that contribute to atherosclerosis. Conclusions Clonal hematopoiesis robustly associates with coronary heart disease in humans and causes accelerated atherosclerosis in mice.
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                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: MethodologyRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: ResourcesRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS One
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                26 February 2025
                2025
                : 20
                : 2
                : e0318300
                Affiliations
                [1 ] Blood, Stem Cell, and Cancer Research Programme, St Vincent’s Centre for Applied Medical Research and Department of Haematology, St Vincent’s Hospital, Sydney, Australia
                [2 ] School of Clinical Medicine, St Vincent’s Healthcare Clinical Campus, Faculty of Medicine and Health, UNSW Sydney, Kensington, Australia
                [3 ] Freemasons Centre for Male Health and Well-Being, South Australian Health and Medical Research Institute and Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, Australia
                European Institute of Oncology, ITALY
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                ‡ These authors are joint senior authors on this work.

                Author information
                https://orcid.org/0000-0001-7777-4491
                Article
                PONE-D-24-48031
                10.1371/journal.pone.0318300
                11864513
                40009600
                c0ee4149-4bf5-4d29-a1fa-0a446939277e
                © 2025 Tursky et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 24 October 2024
                : 13 January 2025
                Page count
                Figures: 3, Tables: 4, Pages: 18
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100014743, Arrow Bone Marrow Transplant Foundation;
                Award Recipient :
                Funded by: St Vincent's Hospital Sydney Haematology Department
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100012187, St. Vincent's Clinic Foundation;
                Award Recipient :
                DM received funding from the Arrow Bone Marrow Transplant Foundation ( https://arrow.org.au), St Vincent’s Hospital Sydney Haematology Department Research Funds ( https://www.svhs.org.au/our-services/list-of-services/haematology), and the St Vincent’s Clinic Foundation ( https://svcrf.com.au). The funders did not play any role in study design, data collection, analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and life sciences
                Molecular biology
                Molecular biology techniques
                Sequencing techniques
                DNA sequencing
                Next-Generation Sequencing
                Research and analysis methods
                Molecular biology techniques
                Sequencing techniques
                DNA sequencing
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                Biology and Life Sciences
                Computational Biology
                Genome Analysis
                Transcriptome Analysis
                Next-Generation Sequencing
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                Genetics
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                Molecular Biology
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                The data have been deposited with links to BioProject accession number PRJNA1215026 in the NCBI BioProject database ( https://www.ncbi.nlm.nih.gov/bioproject/).

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