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American Heart Association

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Final ID: 4139115

Genomic, Phenomic, and Geographic Relationships with Leukocyte Telomere Length in the U.S. Yields New Insights for Neoplasms and Cardiometabolic Disease

Abstract Body (Do not enter title and authors here): Background:
Leukocyte telomere length (LTL) is an age-related marker strongly associated with neoplasms and cardiometabolic disease. LTL is also intimately linked with clonal hematopoiesis of indeterminate potential (CHIP), a recently described risk factor for cardiovascular disease (CVD). However, population-scale investigations of LTL in diverse backgrounds are limited, and geolocational variance has not been studied.
Method:
LTL and CHIP were derived using blood-derived whole genome sequencing data from 244,819 diverse U.S. residents in the NIH All of Us Research Program (AoU). We performed association analyses of LTL with CHIP and other available health-related traits, Phecode, as well as geolocation data by ZIP code. Genome-wide association study (GWAS) of LTL in AoU and meta-analysis with UK Biobank were performed. All association tests were adjusted for age, sex, sequencing site, and the first 10 genetic principal components with multiple test corrections. Mediation analysis was adjusted for additional risk factors for CVD.
Result:
Among 244,819 AoU participants, 146,717 (59.9%) were female with mean (standard deviation) age 51.8 (±16) years. Estimated LTL correlated strongly with age, sex, and genetic ancestry in AoU. Socioeconomic status, lifestyle variables, anthropometry, blood biomarkers (e.g., lipids and glucose), and vital signs were associated with LTL in AoU. Phecode analysis showed LTL is associated with neoplasms and age-related conditions, including CVDs. LTL mediated some of the observed increased coronary artery disease risk among individuals with hematologic malignancies (P < 2 × 10-16). Significantly longer LTL clustered in the West Coast and Central Midwest (P = 0.001 and 0.033, respectively), while significantly shorter LTL clustered in the Southeast (P = 0.001) (Figure). GWAS meta-analyses identified 197 loci, of which 36 (18%) were novel, including ancestry-specific loci. Rare variant aggregation test found 9 novel associated genes.
Conclusions:
LTL is a marker of biological age that is associated and interacts with neoplasms, CVDs, and its various risk factors, with notable geographic variability within the U.S. Germline genetic analyses of LTL yield new insights into drivers of LTL.
  • Nakao, Tetsushi  ( Broad Institute , Cambridge , Massachusetts , United States )
  • Samani, Nilesh  ( GLENFIELD HOSPITAL , Leicester , United Kingdom )
  • Hornsby, Whitney  ( Massachusetts General Hospital , Boston , Massachusetts , United States )
  • Ellinor, Patrick  ( Massachusetts General Hospital , Boston , Massachusetts , United States )
  • Natarajan, Pradeep  ( Massachusetts General Hospital , Boston , Massachusetts , United States )
  • Koyama, Satoshi  ( Broad Institute , Cambridge , Massachusetts , United States )
  • Truong, Buu  ( Broad Institute , Cambridge , Massachusetts , United States )
  • Uddin, Md Mesbah  ( Broad Institute , Cambridge , Massachusetts , United States )
  • Misra, Anika  ( Broad Institute , Cambridge , Massachusetts , United States )
  • Patel, Aniruddh  ( Massachusetts General Hospital , Boston , Massachusetts , United States )
  • Vlasschaert, Caitlyn  ( Queen’s University , Kingston , Ontario , Canada )
  • Bick, Alexander  ( Vanderbilt University Medical Cente , Nashville , Tennessee , United States )
  • Codd, Veryan  ( University of Leicester , Leicester , United Kingdom )
  • Author Disclosures:
    Tetsushi Nakao: DO NOT have relevant financial relationships | Nilesh Samani: DO NOT have relevant financial relationships | Whitney Hornsby: No Answer | Patrick Ellinor: DO have relevant financial relationships ; Research Funding (PI or named investigator):Bayer AG:Active (exists now) ; Research Funding (PI or named investigator):Pfizer:Active (exists now) ; Research Funding (PI or named investigator):BMS:Active (exists now) ; Research Funding (PI or named investigator):Novo Nordisk:Active (exists now) ; Consultant:Bayer AG:Active (exists now) | Pradeep Natarajan: DO have relevant financial relationships ; Researcher:Allelica:Active (exists now) ; Advisor:Preciseli:Active (exists now) ; Advisor:MyOme:Active (exists now) ; Advisor:Esperion Therapeutics:Active (exists now) ; Advisor:TenSixteen Bio:Active (exists now) ; Consultant:Novartis:Active (exists now) ; Consultant:Genentech / Roche:Active (exists now) ; Consultant:Eli Lilly & Co:Active (exists now) ; Researcher:Novartis:Active (exists now) ; Researcher:Genentech / Roche:Active (exists now) | Satoshi Koyama: DO NOT have relevant financial relationships | Buu Truong: DO NOT have relevant financial relationships | Md Mesbah Uddin: DO NOT have relevant financial relationships | Anika Misra: DO NOT have relevant financial relationships | Aniruddh Patel: DO NOT have relevant financial relationships | Caitlyn Vlasschaert: DO NOT have relevant financial relationships | Alexander Bick: DO NOT have relevant financial relationships | Veryan Codd: No Answer
Meeting Info:

Scientific Sessions 2024

2024

Chicago, Illinois

Session Info:
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