Evidence map›Paper›PMID 42501270›Full record

ArticleGeroScience2026

Genetic predisposition to longer lifespan, lifestyle factors, and all-cause mortality: a 17-year prospective cohort study.

Niko P Tynkkynen, Laura Joensuu, Päivi Herranen, Jaakko Kaprio, Timo Törmäkangas, Elina Sillanpää

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.

Niko P TynkkynenGerontology Research Center (GEREC), Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.ORCID http://orcid.org/0000-0001-8245-1275
Laura JoensuuGerontology Research Center (GEREC), Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.ORCID http://orcid.org/0000-0002-9544-6552
Päivi HerranenGerontology Research Center (GEREC), Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.ORCID http://orcid.org/0000-0002-4539-327X
Jaakko KaprioInstitute for Molecular Medicine Finland, HiLIFE, Helsinki, Finland.ORCID http://orcid.org/0000-0002-3716-2455
Timo TörmäkangasGerontology Research Center (GEREC), Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.ORCID http://orcid.org/0000-0001-7268-5297
Elina SillanpääFaculty of Sport and Health Sciences, University of Jyväskylä, P.O. Box 35 (VIV), Jyväskylä, N40014, Finland. elina.sillanpaa@jyu.fi.ORCID http://orcid.org/0000-0001-6375-959X

Funding

FP7-HEALTH-F4-2007 201413Research Council of Finland 264146Research Council of Finland 308248Research Council of Finland 336823Research Council of Finland 341750Research Council of Finland 346509Research Council of Finland 352792Research Council of Finland 361981
6 · The paper itself

Abstract

We examined whether a genome-wide polygenic lifespan score (PLS) is associated with all-cause mortality and how this association compares with associations between long-term lifestyle factors and mortality. The PLS was computed for the older Finnish Twin Cohort (mean age 57.4 years; 45.2% men; N = 5575). Cox regression was used to estimate the effects of the PLS on all-cause mortality risk, before and after adding sex, physical activity, BMI, alcohol consumption, smoking behavior, and education level. Concordance indices (C-indices) were used to assess each predictor's contribution to the model's discriminatory performance. Over a mean follow-up of 17.5 ± 8.3 years, 1405 deaths (25.2%) occurred. A one standard deviation increase in the PLS was statistically significantly associated with a lower all-cause mortality risk (hazard ratio [HR] = 0.838, 95% confidence interval [CI] = 0.792-0.887). This association remained relatively unchanged after adding all covariates (HR = 0.863, 95% CI = 0.816-0.912). Smoking 20 or more cigarettes per day showed the strongest association with increased mortality risk (HR = 3.341, 95% CI = 2.751-4.056), while female sex was associated with the greatest risk reduction (HR = 0.678, 95% CI = 0.597-0.770). Smoking behavior had the largest impact on model performance (ΔC-index = 0.027); other covariates contributed less (ΔC-index < 0.006). In conclusion, genetic predisposition to a longer lifespan was associated with a modest reduction in all-cause mortality risk, independent of lifestyle and other factors. Smoking behavior and female sex were stronger predictors of mortality than the PLS.

Indexed as

All-cause mortalityGenetic predispositionLifespanLifestyle factorsThe older Finnish Twin Cohort

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 Socratic graph.