Evidence map›Paper›PMID 42020758›Full record

ArticleNature2026

Dynamics of genetic and somatic trade-offs in ageing and mortality.

Danny Arends, David G Ashbrook, Suheeta Roy, Lu Lu, Zachary Sloan, Arthur G Centeno, Kurt H Lamour, João Pedro de Magalhães, Pjotr Prins, Karl W Broman and 15 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature, 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

5 · Who and what money

Authors and funding

25 authors.

Danny ArendsDepartment of Applied Sciences, Northumbria University, Newcastle upon Tyne, UK. danny.arends@northumbria.ac.uk.ORCID http://orcid.org/0000-0001-8738-0162
David G AshbrookDepartment of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA.ORCID http://orcid.org/0000-0002-7397-8910
Suheeta RoyDepartment of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA.
Lu LuDepartment of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA.
Zachary SloanDepartment of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA.
Arthur G CentenoDepartment of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA.ORCID http://orcid.org/0000-0003-3142-2081
Kurt H LamourDepartment of Entomology and Plant Pathology, University of Tennessee Knoxville, Knoxville, TN, USA.ORCID http://orcid.org/0000-0001-6407-8825
João Pedro de MagalhãesDepartment of Inflammation and Ageing, University of Birmingham, Birmingham, UK.ORCID http://orcid.org/0000-0002-6363-2465
Pjotr PrinsDepartment of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA.
Karl W BromanDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA.ORCID http://orcid.org/0000-0002-4914-6671
Saunak SenDepartment of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN, USA.
Sarah J MitchellLudwig Princeton Branch, Princeton University, Princeton, NJ, USA.
Michael R MacArthurLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.ORCID http://orcid.org/0000-0003-3593-6995
Özlem Altintas AkinDepartment of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
Xiaoxu LiLaboratory of Integrative Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0000-0001-5121-9190
Amandeep BajwaDepartment of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA.
Vivian DiazBarshop Institute for Longevity and Aging Studies, University of Texas Health San Antonio, San Antonio, TX, USA.
David E HarrisonThe Jackson Laboratory, Bar Harbor, ME, USA.
Randy StrongBarshop Institute for Longevity and Aging Studies, University of Texas Health San Antonio, San Antonio, TX, USA.ORCID http://orcid.org/0000-0001-6643-3288
James F NelsonBarshop Institute for Longevity and Aging Studies, University of Texas Health San Antonio, San Antonio, TX, USA.ORCID http://orcid.org/0000-0002-7439-3033
Khyobeni MozhuiDepartment of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA.ORCID http://orcid.org/0000-0002-6623-4112
Johan AuwerxLaboratory of Integrative Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-5065-5393
Evan G WilliamsLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Richard A MillerDepartment of Pathology and Geriatrics Center, University of Michigan, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0001-9266-9649
Robert W WilliamsDepartment of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA. rwilliams@uthsc.edu.ORCID http://orcid.org/0000-0001-8924-4447

Funding

Center for Testing Potential Anti-Aging InterventionsU01AG022307 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI RANDY STRONG, Adam Salmon · 2004 to 2026
$26.3M
NIA NIH HHS U01 AG022307
6 · The paper itself

Abstract

DNA variants modulate mortality risks across an entire lifespan but their dynamic age-dependent effects have not been resolved in any species for either sex. Here we mapped variants that shape mortality using an actuarial approach, starting with a base population of 6,438 pubescent mice and ending with 559 survivors that lived beyond 1,100 days of age. Twenty-nine Vita loci influence lifespan with strong age- and sex-specific effects. Most act during distinct stages with polarities that often invert with age, but a minority have consistent age-dependent effects in one or both sexes. A separate set of 30 Soma loci influence correlations between body mass and life expectancy. Nineteen Soma loci mediate higher mortality in larger young mice, whereas 11 mediate lower mortality in larger old mice. All effects are stronger in male mice than in female mice. Vita and Soma loci form epistatic networks split strictly by sex. These findings provide a genetic bridge between evolutionary theories of ageing and molecular mechanisms that can guide interventions to extend healthy lifespan.

Indexed as

AgingLongevityAnimalsBody SizeBody WeightEpistasis, GeneticFemaleLife ExpectancyMaleMiceQuantitative Trait LociSex Characteristics

Identifiers

PMID42020758
PMCPMC13253337

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.