Evidence map›Paper›PMID 42839093›Full record

ArticleNature aging2026

Design and model choices shape inference of age-varying genetic effects on complex traits.

Tabea Schoeler, Simon Wiegrebe, Thomas W Winkler, Zoltán Kutalik

Abstract read
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In one paragraph

Article in Nature aging, 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

4 authors.

Tabea SchoelerDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland. tabea.schoeler@unil.ch.ORCID http://orcid.org/0000-0003-4846-2741
Simon WiegrebeDepartment of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
Thomas W WinklerDepartment of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
Zoltán KutalikDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland. zoltan.kutalik@unil.ch.ORCID http://orcid.org/0000-0001-8285-7523

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) 509149993, TRR 374Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) #315230-219587
6 · The paper itself

Abstract

Understanding how genetic influences on complex traits change with age is a fundamental question in genetic epidemiology. Both cross-sectional (between-subject) and longitudinal (within-subject) approaches can contribute to answering this question but come with distinct strengths and limitations. Here we show that age-varying genetic effects obtained from the two designs were highly concordant in direction (84.21% of the 57 identified variants) but showed only moderate agreement in effect-size magnitude (Pearson's

Identifiers

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.