Evidence map›Paper›PMID 42065824›Full record

ArticleGeroScience2026

Low genetic risk for coronary artery disease underlies multigenerational longevity and healthy aging.

Pedro Sant' Anna Barbosa Ferreira, Stella Trompet, Eline Slagboom, Joris Deelen, Marian Beekman, Niels van den Berg

Abstract read
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In one paragraph

Article in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Pedro Sant' Anna Barbosa FerreiraDepartment of Biomedical Data Sciences, section of Molecular Epidemiology, Leiden University Medical Center, Einthovenweg 20, 2333 ZA, Leiden, The Netherlands. psb.ferreira@lumc.nl.ORCID http://orcid.org/0009-0001-9683-4522
Stella TrompetDepartment of Internal Medicine, section Geriatrics, Leiden University Medical Center, Albinusdreef 2, Leiden the Netherlands, 2333 ZA, Netherlands.ORCID http://orcid.org/0000-0001-5006-0528
Eline SlagboomDepartment of Biomedical Data Sciences, section of Molecular Epidemiology, Leiden University Medical Center, Einthovenweg 20, 2333 ZA, Leiden, The Netherlands.ORCID http://orcid.org/0000-0002-2875-4723
Joris DeelenDepartment of Biomedical Data Sciences, section of Molecular Epidemiology, Leiden University Medical Center, Einthovenweg 20, 2333 ZA, Leiden, The Netherlands.ORCID http://orcid.org/0000-0003-4483-3701
Marian Beekman *Department of Biomedical Data Sciences, section of Molecular Epidemiology, Leiden University Medical Center, Einthovenweg 20, 2333 ZA, Leiden, The Netherlands.ORCID http://orcid.org/0000-0003-0585-6206
Niels van den Berg *Department of Biomedical Data Sciences, section of Molecular Epidemiology, Leiden University Medical Center, Einthovenweg 20, 2333 ZA, Leiden, The Netherlands. n.m.a.van_den_berg@lumc.nl.ORCID http://orcid.org/0000-0001-7169-9881

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek 09120012010052
6 · The paper itself

Abstract

Aging is a major risk factor for chronic diseases. Unlike the general population, members of long-lived families maintain exceptional health as they age, with over 10 years delayed onset of their first chronic disease. We therefore hypothesize that one of the key features explaining healthy survival up to high ages (longevity) is the absence of chronic disease risk alleles. We investigated this hypothesis in the Leiden Longevity Study, a cohort with data from more than 420 long-lived families in three generations and the Leiden 85-plus study. To analyze our data, we constructed a set of polygenic scores (PGS) covering the top diseases causing most deaths in the Netherlands. We showed that having an increasing number of long-lived ancestors is additively associated with lower genetic risk for coronary artery disease (CAD). Using accelerated failure time modelling, we further showed that a lower PGS for CAD explains up to 20% of the delay in cardiovascular disease incidence in descendants of long-lived families. Finally, we constructed a novel cholesterol-metabolism-PGS, based on gene-annotation enrichment analysis, that predicted time to all-cause mortality in two independent 90 + study populations. Our findings demonstrate that the absence of chronic disease risk alleles is one key feature linked to longevity and that alleles linked to cholesterol metabolism are a key component in healthy aging trajectories.

Indexed as

Cardiovascular diseaseHealthy agingHuman longevityLongevity Relatives Count scorePolygenic Risk scores

Identifiers

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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.