Evidence map›Paper›PMID 41896353›Full record

ArticleNature genetics2026

Genomic, phenomic and geographic associations of leukocyte telomere length in the United States.

Tetsushi Nakao, Satoshi Koyama, Buu Truong, Md Mesbah Uddin, Anika Misra, Aniruddh P Patel, Aarushi Bhatnagar, Victoria Viscosi, Caitlyn Vlasschaert, Alexander G Bick and 6 more

Abstract read
In one paragraph

Article in Nature genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Tetsushi Nakao *Medical and Population Genetics Program and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-9979-2682
Satoshi Koyama *Medical and Population Genetics Program and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-9286-0360
Buu TruongMedical and Population Genetics Program and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-0043-0812
Md Mesbah UddinMedical and Population Genetics Program and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-1846-0411
Anika MisraMedical and Population Genetics Program and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0009-0002-6217-0948
Aniruddh P PatelMedical and Population Genetics Program and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Aarushi BhatnagarMedical and Population Genetics Program and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0009-0004-4699-6779
Victoria ViscosiCardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Caitlyn VlasschaertDepartment of Medicine, Queen's University, Kingston, Ontario, Canada.
Alexander G BickVanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, USA.ORCID http://orcid.org/0000-0001-5824-9595
Christopher P NelsonDepartment of Cardiovascular Sciences, University of Leicester, Leicester, UK.
Veryan CoddDepartment of Cardiovascular Sciences, University of Leicester, Leicester, UK.
Nilesh J SamaniDepartment of Cardiovascular Sciences, University of Leicester, Leicester, UK.
Whitney HornsbyMedical and Population Genetics Program and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Patrick T EllinorMedical and Population Genetics Program and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Pradeep NatarajanMedical and Population Genetics Program and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA. pnatarajan@mgh.harvard.edu.ORCID http://orcid.org/0000-0001-8402-7435

Funding

Integrated omics analysis of clonal hematopoiesis and cardiovascular disease risk in TOPMedR01HL168894 · NHLBI · EMORY UNIVERSITY · PI Karen Conneely, Pradeep Natarajan · 2023 to 2026
$2.6M
Advancing the clinical actionability of polygenic scores for coronary artery diseaseK08HL168238 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Aniruddh Patel · 2024 to 2026
$511k
Using genomic modifiers to mechanistically link clonal hematopoiesis of indeterminate potential penetrance to coronary artery diseaseK99HL165024 · NHLBI · BROAD INSTITUTE, INC. · PI NAKAO, TETSUSHI · 2023 to 2024
$334k
Whole genome sequence interpretation for lipids to discover new genes and mechanisms for coronary artery diseaseK99HL169733 · NHLBI · BROAD INSTITUTE, INC. · PI KOYAMA, SATOSHI · 2023 to 2024
$330k
NHLBI NIH HHS K08 HL168238U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) K08HL168238U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) K99HL165024U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) K99HL169733U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01HL168894
6 · The paper itself

Abstract

Leukocyte telomere length (LTL) is associated with multiple conditions, including cardiovascular diseases and neoplasms, yet their differential associations across diverse individuals are largely unknown. We estimated LTL from blood-derived whole-genome sequences in the All of Us research program (n = 242,494) with diverse ancestries across the USA. LTL was associated with lifestyle, socioeconomic status, biomarkers, cardiometabolic diseases and neoplasms, with heterogeneity across genetic ancestries and sexes. Geographical analysis revealed that significantly longer LTL clustered in the West Coast and Central Midwest, while significantly shorter LTL clustered in the Southeast in the USA. Genome-wide association studies and meta-analyses with the UK Biobank (n = 679,972) found 234 nonoverlapping loci, of which 37 were novel. We identified six novel loci unique to non-European-like populations and one specific to women. Rare variant analysis uncovered nine novel genes, providing new functional insights. Our study highlighted underappreciated contextual heterogeneities of phenomic and genomic associations with LTL.

Indexed as

LeukocytesTelomereTelomere HomeostasisFemaleGenome-Wide Association StudyGenomicsHumansMalePhenomicsPhenotypePolymorphism, Single NucleotideUK BiobankUnited States

Identifiers

PMID41896353
PMCPMC13083252

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.