Evidence map›Paper›PMID 35119614›Full record

ArticleGeroScience2022

Distribution of 54 polygenic risk scores for common diseases in long lived individuals and their offspring.

Sophia Gunn, Michael Wainberg, Zeyuan Song, Stacy Andersen, Robert Boudreau, Mary F Feitosa, Qihua Tan, May E Montasser, Jeffrey R O'Connell, Nathan Stitziel and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in GeroScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Utility of Polygenic Risk Scores in Families with Exceptional Longevity.medRxiv : the preprint server for health sciences · 2025
    Article
  7. Review
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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

14 authors at 8 institutions in 2 countries.

Sophia GunnDepartment of Biostatistics, Boston University, Crosstown Building, 801 Massachusetts Avenue 3rd Floor, Boston, MA, 02118, USA. gunns2@bu.edu.ORCID 0000-0001-6451-050X
Michael WainbergInstitute for Systems Biology, 401 Terry Avenue North, Seattle, WA, 98109-5263, USA.
Zeyuan SongDepartment of Biostatistics, Boston University, Crosstown Building, 801 Massachusetts Avenue 3rd Floor, Boston, MA, 02118, USA.
Stacy AndersenDepartment of Medicine, Boston University, Crosstown Building, 801 Massachusetts Avenue 3rd Floor, Boston, MA, 02118, USA.
Robert BoudreauUniversity of Pittsburgh, 127 N. Bellefield Avenue Pittsburgh, Pittsburgh, PA, 15260, USA.
Mary F FeitosaDepartment of Genetics, Washington University School of Medicine in St Louis, 660 S. Euclid Ave, St. Louis, MO, 63110-1010, USA.
Qihua TanUniversity of Southern Denmark, Campusvej 55, Odense M, Denmark.
May E MontasserDepartment of Medicine, Division of Endocrinology, Diabetes and Nutrition and Program for Personalized and Genomic Medicine, School of Medicine, University of Maryland, 620 W Lexington St, BaltimoreBaltimore, MD, 21201, USA.
Jeffrey R O'ConnellDepartment of Medicine, Division of Endocrinology, Diabetes and Nutrition and Program for Personalized and Genomic Medicine, School of Medicine, University of Maryland, 620 W Lexington St, BaltimoreBaltimore, MD, 21201, USA.
Nathan StitzielDepartment of Genetics, Washington University School of Medicine in St Louis, 660 S. Euclid Ave, St. Louis, MO, 63110-1010, USA.
Nathan PriceInstitute for Systems Biology, 401 Terry Avenue North, Seattle, WA, 98109-5263, USA.
Thomas PerlsDepartment of Medicine, Boston University, Crosstown Building, 801 Massachusetts Avenue 3rd Floor, Boston, MA, 02118, USA.
Nicholas J SchorkThe Translational Genomics Research Institute, Phoenix, AZ, USA.
Paola SebastianiInstitute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA.
Boston University · USNorth Seattle College · USUniversity of Maryland, Baltimore · USWashington University in St. Louis · USTranslational Genomics Research Institute · USTufts Medical Center · USUniversity of Pittsburgh · USUniversity of Southern Denmark · DK

Funding

The Long Life Family StudyU19AG063893 · NIA · WASHINGTON UNIVERSITY · PI Stacy Andersen, KAARE CHRISTENSEN · 2019 to 2026
$125.4M
Systems BiologyU19AG023122 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI NICHOLAS Joseph SCHORK · 2004 to 2026
$102.6M
Supplement Proposal: Accelerated Genome Aggregation and Joint Variant Calling EffortUM1HG008853 · NHGRI · WASHINGTON UNIVERSITY · PI HALL, IRA M, MILBRANDT, JEFFREY D · 2016 to 2020
$76.2M
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
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
Interdisciplinary Training for BiostatisticiansT32GM074905 · NIGMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WHITE, LAURA FORSBERG · 2005 to 2019
$3.0M
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
NHGRI NIH HHS UM1 HG008853NIA NIH HHS U19 AG023122NIA NIH HHS U19 AG063893NIA NIH HHS UH2 AG064704NIA NIH HHS UH2 AG064706NIA NIH HHS UH3 AG064704NIA NIH HHS UH3 AG064706NIGMS NIH HHS T32 GM074905
6 · The paper itself

Abstract

A surprising and well-replicated result in genetic studies of human longevity is that centenarians appear to carry disease-associated variants in numbers similar to the general population. With the proliferation of large genome-wide association studies (GWAS) in recent years, investigators have turned to polygenic scores to leverage GWAS results into a measure of genetic risk that can better predict the risk of disease than individual significant variants alone. We selected 54 polygenic risk scores (PRSs) developed for a variety of outcomes, and we calculated their values in individuals from the New England Centenarian Study (NECS, N = 4886) and the Long Life Family Study (LLFS, N = 4577). We compared the distribution of these PRSs among exceptionally long-lived individuals (ELLI), their offspring, and controls, and we also examined their predictive values, using t-tests and regression models adjusting for sex and principal components reflecting the ancestral background of the individuals (PCs). In our analyses, we controlled for multiple testing using a Bonferroni-adjusted threshold for 54 traits. We found that only 4 of the 54 PRSs differed between ELLIs and controls in both cohorts. ELLIs had significantly lower mean PRSs for Alzheimer's disease (AD) and coronary artery disease (CAD) than controls, suggesting a genetic predisposition to extreme longevity may be mediated by reduced susceptibility to these traits. ELLIs also had significantly higher mean PRSs for improved cognitive function and parental extreme longevity. In addition, the PRS for AD was associated with a higher risk of dementia among controls but not ELLIs (p = 0.003, 0.3 in NECS, p = 0.03, 0.9 in LLFS, respectively). ELLIs have a similar burden of genetic disease risk as the general population for most traits but have a significantly lower genetic risk of AD and CAD. The lack of association between AD PRS and dementia among ELLIs suggests that the genetic risk for AD that they do have is somehow counteracted by protective genetic or environmental factors.

Indexed as

Alzheimer DiseaseGenome-Wide Association StudyAged, 80 and overGenetic Predisposition to DiseaseHumansMultifactorial InheritanceRisk FactorsExceptional LongevityLong-lived familiespolygenic risk scores

Identifiers

PMID35119614
PMCPMC9135909
OpenAlexW4225551595

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.