PO.PS01.08 · 人群科学

Clonal hematopoiesis and incident hematologic and myeloid malignancy in ARIC

海报缩略图:Clonal hematopoiesis and incident hematologic and myeloid malignancy in ARIC
编号 6291 展板 21 时间 4/21 02:00–05:00 区域 Section 34 主讲 Elizabeth Platz, MPH;ScD
分会场 Genetic Epidemiology 2: Pathway Analysis, Sequencing, Functional Genetics / Family and Hereditary Studies
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作者与单位

Elizabeth A. Platz1, Hidetaka Uryu2, Vernon A. Burk1, Meng Ru1, Sergiu Pasca3, Lukasz P. Gondek3, Katherine Y. King4, Anna E. Prizment5, Corinne E. Joshu1, Pradeep Natarajan6, Margaret A. Goodell4, Christie M. Ballantyne4, Koichi Takahashi2

1Johns Hopkins Bloomberg School of Public Health, Baltimore, MD,2UT MD Anderson Cancer Center, Houston, TX,3Johns Hopkins University School of Medicine, Baltimore, MD,4Baylor College of Medicine, Houston, TX,5University of Minnesota, Minneapolis, MN,6Massachusetts General Hospital, Harvard Medical School, Boston, MA

摘要 Abstract

Background: Clonal hematopoiesis (CH), defined using mutations in myeloid-lineage driver genes (N=74 [classic], Bick et al. Nature 2020), is a risk factor for hematologic malignancy (HM). Bernstein et al. ( Nature Genetics 2024) identified 17 additional genes with mutations that are positively selected in the population, and documented a positive association with HM. Continuing to refine CH mutations that convey risk is critical for clinical use and research on modifiable drivers of CH to HM. Thus, we developed a CH-calling pipeline that detects CH from population-based sequencing data using an expanded gene list as well as a variant pathogenicity score based on Google AlphaFold 3. We investigated associations between CH called by the new pipeline and HM risk in a community-based cohort with long follow up. Methods: We conducted a prospective analysis of 9,365 participants in the Atherosclerosis Risk in Communities study aged 44-80 years, without a cancer history, and with whole exome sequencing data. 410 HMs (147 myeloid) were ascertained mainly by cancer registry linkage in a median follow up of 21 years. Follow up is longer than in the original well-known CH studies. With a mean depth of 100x, mutations with a variant allele frequency (VAF)>3.8% were considered for CH. We classified definitive CH as mutations in classic CH genes and truncating mutations in genes additionally identified by Bernstein et al. For missense mutations in the additional genes, we applied AlphaFold 3 to predict pathogenicity and called probable if score≥0.9. We estimated hazard ratios (HR) and 95% confidence intervals (CI) for the association of small (3.8<vaf<10%) and="" large="" (vaf≥10%)="" ch="" (both="" vs="" no="" ch)="" with="" incident="" hm="" myeloid="" malignancy="" adjusting="" for="" age,="" sex,="" race.="" comparison,="" we="" ran="" the="" same="" analyses="" using="" classic="" (bick="" et="" al.="" defined="" vaf≥2%).</vaf<10%)>
利益披露 Disclosure
E. A. Platz, None.. H. Uryu, None.. V. A. Burk, None.. M. Ru, None.. S. Pasca, None.. L. P. Gondek, None.. K. Y. King, None.. C. E. Joshu, None. P. Natarajan, Allelica, Amgen, Apple, Boston Scientific, Cleerly, Genentech / Roche, Ionis, Novartis, and Silence Therapeutics ). AIRNA, Allelica, Apple, AstraZeneca, Bain Capital, Blackstone Life Sciences, Bristol Myers Squibb, Creative Education Concepts, CRISPR Therapeutics, Eli Lilly & Co, Esperion Therapeutics, Foresite Ca Other, personal fees. Bolt, Candela, Mercury, MyOme, Parameter Health, Preciseli, and TenSixteen Bio Other, Equity. Recora Other, Royalties. Vertex Pharmaceuticals Other, Spousal employment. C. M. Ballantyne, 89Bio Other, Personal fees. Abbott Diagnostics Personal fees. Amgen Personal fees. Arrowhead Personal fees. AstraZeneca Personal fees. Denka Seiken Personal fees. Esperion Personal fees. Genentech Personal fees. Heartflow Personal fees. Ionis Personal fees. Eli Lilly Personal fees. Merck Personal fees. NewAmsterdam Pharma Personal fees. Novartis Personal fees. Novo Nordisk Personal fees. Roche Diagnostic Personal fees. K. Takahashi, None.

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