Evidence map›Paper›PMID 40764432›Full record

SynthesisNature aging2025

Large-scale genome-wide analyses with proteomics integration reveal novel loci and biological insights into frailty.

Jonathan K L Mak, Chenxi Qin, Moritz Krüger, Anna Kuukka, FinnGen, Sara Hägg, Jake Lin, Juulia Jylhävä

Abstract readMeta-Analysis
In one paragraph

Synthesis in Nature aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
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

8 authors.

Jonathan K L MakDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-4454-8580
Chenxi QinDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Moritz KrügerFaculty of Medicine and Health Technology and Gerontology Research Center (GEREC), Tampere University, Tampere, Finland.ORCID http://orcid.org/0009-0005-7754-1950
Anna KuukkaFaculty of Medicine and Health Technology and Gerontology Research Center (GEREC), Tampere University, Tampere, Finland.
FinnGen
Sara HäggDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-2452-1500
Jake Lin *Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Juulia Jylhävä *Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. juulia.jylhava@ki.se.ORCID http://orcid.org/0000-0003-0250-4491

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Frailty is a clinically relevant phenotype with notable gaps in our understanding of its etiology. Using the Hospital Frailty Risk Score (HFRS) to define frailty, we performed a genome-wide association study in FinnGen (N = 500,737), replicated the results in the UK Biobank (N = 407,463) and performed a meta-analysis. We prioritized genes through colocalization with expression, splicing and protein quantitative trait loci and proteomics integration. We identified 53 independent lead variants associated with frailty (P < 5 × 10

Indexed as

FrailtyGenome-Wide Association StudyProteomicsAgedAged, 80 and overFemaleHumansMalePolymorphism, Single NucleotideQuantitative Trait Loci

Identifiers

PMID40764432
PMCPMC12350161

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.