Evidence map›Paper›PMID 38451433›Full record

ArticleGeroScience2024

The relationship between 11 different polygenic longevity scores, parental lifespan, and disease diagnosis in the UK Biobank.

Janith Don, Andrew J Schork, Gwênlyn Glusman, Noa Rappaport, Steve R Cummings, David Duggan, Anish Raju, Kajsa-Lotta Georgii Hellberg, Sophia Gunn, Stefano Monti and 5 more

Open access · hybridAbstract read
In one paragraph

Article in GeroScience, 2024. 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
2.2field-weighted citation impact, top 13% of its field
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, 4 citations in OpenAlex.

  1. Article
  2. Evolutionary genetics of ageing.Nature reviews. Genetics · 2026
    Review
  3. The association of a polygenic lifespan score with the risk of common age-related diseases and mortality.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  4. Review
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

15 authors at 6 institutions in 2 countries.

Janith DonTranslational Genomics Research Institute (TGen), Phoenix, AZ, USA.
Andrew J SchorkThe Institute of Biological Psychiatry, Copenhagen University Hospital, Copenhagen, Denmark.
Gwênlyn GlusmanInstitute for Systems Biology, Seattle, WA, USA.
Noa RappaportInstitute for Systems Biology, Seattle, WA, USA.
Steve R CummingsSan Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, CA, USA.
David DugganTranslational Genomics Research Institute (TGen), Phoenix, AZ, USA.
Anish RajuTranslational Genomics Research Institute (TGen), Phoenix, AZ, USA.
Kajsa-Lotta Georgii HellbergThe Institute of Biological Psychiatry, Copenhagen University Hospital, Copenhagen, Denmark.
Sophia GunnDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Stefano MontiDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Thomas PerlsDepartment of Medicine, Section of Geriatrics, Boston University, Boston, MA, USA.
Jodi LapidusDepartment of Biostatistics, Oregon Health & Science University, Portland, OR, USA.
Laura H GoetzTranslational Genomics Research Institute (TGen), Phoenix, AZ, USA.
Paola SebastianiDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Nicholas J SchorkTranslational Genomics Research Institute (TGen), Phoenix, AZ, USA. nschork@tgen.org.ORCID 0000-0003-0920-5013
Translational Genomics Research Institute · USBoston University · USInstitute for Systems Biology · USUniversity of Copenhagen · DKCalifornia Pacific Medical Center · USOregon Health & Science University · US

Funding

Systems BiologyU19AG023122 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI RICHARD A MILLER · 2004 to 2026
$102.6M
Regulatory and Human Study Operations (RHSO) Core CU19AG065169 · NIA · UNIVERSITY OF ARIZONA · PI HUENTELMAN, MATT · 2021 to 2025
$59.8M
Identifying protective omics profiles in centenarians and translating these into preventive and therapeutic strategiesUH3AG064704 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI PERLS, THOMAS T, SEBASTIANI, PAOLA · 2022 to 2025
$14.7M
Exceptional Longevity Data Management and Coordinating CenterU24AG078753 · NIA · SAGE BIONETWORKS · PI Christine M. Fabre Suver, Solveig Sieberts · 2022 to 2026
$10.3M
Identifying protective omics profiles in centenarians and translating these into preventive and therapeutic strategiesUH2AG064704 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI PERLS, THOMAS T, SEBASTIANI, PAOLA · 2019 to 2021
$9.4M
Integrative Omics to enhance therapeutics development for healthy agingUH3AG064706 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI MILLER, RICHARD A, SCHORK, NICHOLAS JOSEPH · 2021 to 2024
$3.3M
Novel Biomarkers and Genetics of Diabetic RetinopathyR01EY028606 · NEI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI DAS, ARUP · 2018 to 2022
$2.8M
Integrative Omics to enhance therapeutics development for healthy agingUH2AG064706 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI MILLER, RICHARD A, SCHORK, NICHOLAS JOSEPH · 2019 to 2020
$1.4M
NEI NIH HHS R01 EY028606NIA NIH HHS 5R01EY028606-04.NIA NIH HHS NIA UH2 UH3 AG064704 U19 AG065169-01A1NIA NIH HHS U19 AG023122NIA NIH HHS U19-AG023122 UH3-AG064706NIA NIH HHS U19 AG065169NIA NIH HHS U24 AG078753NIA NIH HHS U24AG078753NIA NIH HHS UH2 AG064706NIA NIH HHS UH3 AG064704NIA NIH HHS UH3 AG064706
6 · The paper itself

Abstract

Large-scale genome-wide association studies (GWAS) strongly suggest that most traits and diseases have a polygenic component. This observation has motivated the development of disease-specific "polygenic scores (PGS)" that are weighted sums of the effects of disease-associated variants identified from GWAS that correlate with an individual's likelihood of expressing a specific phenotype. Although most GWAS have been pursued on disease traits, leading to the creation of refined "Polygenic Risk Scores" (PRS) that quantify risk to diseases, many GWAS have also been pursued on extreme human longevity, general fitness, health span, and other health-positive traits. These GWAS have discovered many genetic variants seemingly protective from disease and are often different from disease-associated variants (i.e., they are not just alternative alleles at disease-associated loci) and suggest that many health-positive traits also have a polygenic basis. This observation has led to an interest in "polygenic longevity scores (PLS)" that quantify the "risk" or genetic predisposition of an individual towards health. We derived 11 different PLS from 4 different available GWAS on lifespan and then investigated the properties of these PLS using data from the UK Biobank (UKB). Tests of association between the PLS and population structure, parental lifespan, and several cancerous and non-cancerous diseases, including death from COVID-19, were performed. Based on the results of our analyses, we argue that PLS are made up of variants not only robustly associated with parental lifespan, but that also contribute to the genetic architecture of disease susceptibility, morbidity, and mortality.

Indexed as

Biological Specimen BanksGenetic Predisposition to DiseaseGenome-Wide Association StudyLongevityMultifactorial InheritanceAgedCOVID-19FemaleHumansMaleParentsUK BiobankUnited KingdomAssociation analysisDisease riskLifespanPolygenic longevity scorePolygenic risk scoreVariant annotations

Identifiers

PMID38451433
PMCPMC11226417
OpenAlexW4392553129

What OpenQuestion holds

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LicenceCC BY
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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.