Evidence map›Paper›PMID 42481894›Full record

ArticleNature ecology & evolution2026

Genetic trade-offs in fertility and longevity explain the maintenance of disease-associated alleles in humans.

Eva Brigos-Barril, Claudia Vasallo, Xavier Farré, Carlos Morcillo-Suárez, Sara Polo-Alonso, Blanca Rodríguez-Fernández, Alejandro Valenzuela, Carlos Sarabia, Elena Bosch, Hafid Laayouni and 3 more

Abstract read
In one paragraph

Article in Nature ecology & evolution, 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

13 authors.

Eva Brigos-BarrilDepartment of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain.ORCID http://orcid.org/0000-0002-0043-8067
Claudia VasalloCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.
Xavier FarréGenomes for Life (GCAT Lab) CORE Program, Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain.
Carlos Morcillo-SuárezDepartment of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain.
Sara Polo-AlonsoDepartment of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain.ORCID http://orcid.org/0009-0006-8468-3786
Blanca Rodríguez-FernándezCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.
Alejandro ValenzuelaDepartment of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain.ORCID http://orcid.org/0000-0002-2252-3887
Carlos SarabiaDepartment of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain.
Elena BoschDepartment of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain.ORCID http://orcid.org/0000-0003-2848-103X
Hafid LaayouniDepartment of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain.ORCID http://orcid.org/0000-0003-1297-5078
Natàlia Vilor-TejedorBarcelonaβeta Brain Research Center (BBRC) - Pasqual Maragall Foundation, Barcelona, Spain.ORCID http://orcid.org/0000-0003-4935-6721
Arcadi NavarroDepartment of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain. arcadi.navarro@upf.edu.ORCID http://orcid.org/0000-0003-2162-8246
Gerard MuntanéDepartment of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain. gerard.muntane@upf.edu.ORCID http://orcid.org/0000-0003-1541-8365

Funding

Fundació la Marató de TV3 (TV3 Marathon Foundation) 202230-32"la Caixa" Foundation (Caixa Foundation) GRC 2021 SGR 0467Ministry of Economy and Competitiveness | Agencia Estatal de Investigación (Spanish Agencia Estatal de Investigación) CEX2018-000792-MMinistry of Economy and Competitiveness | Agencia Estatal de Investigación (Spanish Agencia Estatal de Investigación) PID2021-127792NB-I00Ministry of Economy and Competitiveness | Agencia Estatal de Investigación (Spanish Agencia Estatal de Investigación) RYC2022-038136-IMinistry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III) PI21/00612
6 · The paper itself

Abstract

Genetic variants that increase the risk for complex diseases persist in human populations, despite adverse effects on health and longevity. Life-history theory predicts that such alleles can be maintained by trade-offs arising from pleiotropy, yet direct genomic evidence has been limited. We asked whether disease-associated variants persist because they enhance reproduction, despite costs to health and lifespan. By analysing genome-wide data across 62 diseases, longevity and fertility, we show that disease-risk alleles are, on average, associated with reduced longevity and increased fertility. Moreover, the subset of alleles that increase both fertility and disease risk appear to have been favoured by natural selection over the past 50,000 years. Using Mendelian randomization, we detect a causal effect of genetic liability to disease on longevity, but no robust evidence for a causal effect on fertility; importantly, these estimates remain stable after adjusting for socioeconomic factors. At the individual level, we compared offspring numbers between affected and unaffected individuals with high polygenic disease risk. For most diseases, affected individuals had more children than unaffected ones. But for early-onset diseases, the pattern reverses, indicating reproductive costs of early morbidity. Together, these results support antagonistic pleiotropy and help explain the persistence of disease-risk alleles in human populations.

Indexed as

FertilityGenetic Predisposition to DiseaseLongevitySelection, GeneticAllelesFemaleHumans

Identifiers

PMID42481894
PMCPMC13541616

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.