Evidence map›Paper›PMID 34431594›Full record

ArticleAging cell2021

A genome-wide association study of the frailty index highlights brain pathways in ageing.

Janice L Atkins, Juulia Jylhävä, Nancy L Pedersen, Patrik K Magnusson, Yi Lu, Yunzhang Wang, Sara Hägg, David Melzer, Dylan M Williams, Luke C Pilling

Open access · goldAbstract read
In one paragraph

Article in Aging cell, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 187 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
187citing papers in PubMed, 9 pooled it
23.8field-weighted citation impact, top 1% of its field
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

187 citing papers in PubMed, 9 syntheses or guidelines pooled it, 303 citations in OpenAlex.

  1. Inflammatory cytokines are associated with stroke and risk factors of cerebrovascular diseases: a Mendelian randomization study.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
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  16. Evolutionary genetics of ageing.Nature reviews. Genetics · 2026
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127 more citing papers are in PubMed but not listed here.

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

10 authors at 4 institutions in 3 countries.

Janice L AtkinsEpidemiology and Public Health Group, University of Exeter Medical School, Exeter, UK.ORCID 0000-0003-4919-9068
Juulia JylhäväDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Nancy L PedersenDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Patrik K MagnussonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Yi LuDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Yunzhang WangDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Sara HäggDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-2452-1500
David MelzerEpidemiology and Public Health Group, University of Exeter Medical School, Exeter, UK.
Dylan M WilliamsDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Luke C PillingEpidemiology and Public Health Group, University of Exeter Medical School, Exeter, UK.ORCID 0000-0002-3332-8454
Karolinska Institutet · SEUniversity of Connecticut · USUniversity of Exeter · GBUniversity of Southern California · US

Funding

GENETIC &ENVIRONMENTAL INFLUENCES--BIOBEHAVIORAL AGINGR01AG010175 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PEDERSEN, NANCY L · 1992 to 2006
$2.8M
Cholesterol metabolism pathway: Cognitive change and Alzheimer's disease riskR01AG028555 · NIA · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI REYNOLDS, CHANDRA A · 2007 to 2010
$1.1M
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/M023095/1NIA NIH HHS R01 AG010175NIA NIH HHS R01 AG028555NIH HHS AG10175NIH HHS R01 AG04563NIH HHS U01-066134
6 · The paper itself

Abstract

Frailty is a common geriatric syndrome and strongly associated with disability, mortality and hospitalization. Frailty is commonly measured using the frailty index (FI), based on the accumulation of a number of health deficits during the life course. The mechanisms underlying FI are multifactorial and not well understood, but a genetic basis has been suggested with heritability estimates between 30 and 45%. Understanding the genetic determinants and biological mechanisms underpinning FI may help to delay or even prevent frailty. We performed a genome-wide association study (GWAS) meta-analysis of a frailty index in European descent UK Biobank participants (n = 164,610, 60-70 years) and Swedish TwinGene participants (n = 10,616, 41-87 years). FI calculation was based on 49 or 44 self-reported items on symptoms, disabilities and diagnosed diseases for UK Biobank and TwinGene, respectively. 14 loci were associated with the FI (p < 5*10

Indexed as

AdultAgedAgingBrainFrailtyGenome-Wide Association StudyHumansMiddle AgedTwinsageingfrailtyfrailty indexgeneticsUK Biobank

Identifiers

PMID34431594
PMCPMC8441299
OpenAlexW3194731752

What OpenQuestion 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 OpenQuestion graph.