Evidence map›Paper›PMID 35023833›Full record

ArticleeLife2022

Epigenetic scores for the circulating proteome as tools for disease prediction.

Danni A Gadd, Robert F Hillary, Daniel L McCartney, Shaza B Zaghlool, Anna J Stevenson, Yipeng Cheng, Chloe Fawns-Ritchie, Cliff Nangle, Archie Campbell, Robin Flaig and 18 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 79 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 2 pooled it
12.3field-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

79 citing papers in PubMed, 2 syntheses or guidelines pooled it, 134 citations in OpenAlex.

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  18. DNA hypomethylation of theFrontiers in neurology · 2026
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19 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

28 authors at 10 institutions in 5 countries.

Danni A Gadd *Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0001-6398-5407
Robert F Hillary *Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.
Daniel L McCartney *Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.
Shaza B Zaghlool *Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar.
Anna J StevensonCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.
Yipeng ChengCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.
Chloe Fawns-RitchieCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.
Cliff NangleCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0001-5432-1158
Archie CampbellCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.
Robin FlaigCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.
Sarah E HarrisDepartment of Psychology, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0002-4941-5106
Rosie M WalkerCentre for Clinical Brain Sciences, Chancellor's Building, University of Edinburgh, Edinburgh, United Kingdom.
Liu ShiDepartment of Psychiatry, University of Oxford, Oxford, United Kingdom.
Elliot M Tucker-DrobDepartment of Psychology, The University of Texas at Austin, Austin, United States.
Christian GiegerResearch Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Annette PetersInstitute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Melanie WaldenbergerResearch Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Johannes GraumannScientific Service Group Biomolecular Mass Spectrometry, Max Planck Institute for Heart and Lung Research, W.G. Kerckhoff Institute, Bad Nauheim, Germany.
Allan F McRaeInstitute for Molecular Bioscience, University of Queensland, Brisbane, Australia.
Ian J DearyDepartment of Psychology, University of Edinburgh, Edinburgh, United Kingdom.
David J PorteousCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.
Caroline HaywardCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.
Peter M VisscherInstitute for Molecular Bioscience, University of Queensland, Brisbane, Australia.
Simon R CoxDepartment of Psychology, University of Edinburgh, Edinburgh, United Kingdom.
Kathryn L EvansCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.
Andrew M McIntoshCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.
Karsten SuhreDepartment of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar.ORCID https://orcid.org/0000-0001-9638-3912
Riccardo E MarioniCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0003-4430-4260
Edinburgh Cancer Research · GBCenter for Environmental Health · USNHS Lothian · GBThe University of Queensland · AUWeill Cornell Medical College in Qatar · QAMax Planck Institute for Heart and Lung Research · DERoyal Edinburgh Hospital · GBThe University of Texas at Austin · USUniversity of Edinburgh · GBUniversity of Oxford · GB

Funding

Program Development and Pilot CoreP30AG066614 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI KAREN L FINGERMAN · 2020 to 2026
$5.2M
Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI MARK D. HAYWARD · 2017 to 2026
$5.2M
Evaluating Longitudinal Changes in the Human Structural Connectome in Relation to Cognitive AgingR01AG054628 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI TUCKER-DROB, ELLIOT MAX · 2017 to 2021
$2.7M
Large-Scale Genomic Analysis of Aging-Related Cognitive Change Prior to Dementia OnsetRF1AG073593 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI TUCKER-DROB, ELLIOT MAX · 2021 to 2021
$2.1M
Biotechnology and Biological Sciences Research Council BB/F019394/1Chief Scientist Office CZD/16/6Department of HealthMedical Research Council G0700704Medical Research Council G0701120Medical Research Council G1001245Medical Research Council MC_UU_00007/10Medical Research Council MR/K026992/1Medical Research Council MR/L023784/2Medical Research Council MR/M013111/1Medical Research Council MR/R024065/1NIA NIH HHS P30 AG066614NIA NIH HHS R01 AG054628NIA NIH HHS RF1 AG073593NICHD NIH HHS P2C HD042849Wellcome TrustWellcome Trust 104036/Z/14/ZWellcome Trust 108890/Z/15/ZWellcome Trust 203771/Z/16/ZWellcome Trust 216767/Z/19/ZWellcome Trust 220857/Z/20/ZWellcome Trust 221890/Z/20/Z
6 · The paper itself

Abstract

Protein biomarkers have been identified across many age-related morbidities. However, characterising epigenetic influences could further inform disease predictions. Here, we leverage epigenome-wide data to study links between the DNA methylation (DNAm) signatures of the circulating proteome and incident diseases. Using data from four cohorts, we trained and tested epigenetic scores (EpiScores) for 953 plasma proteins, identifying 109 scores that explained between 1% and 58% of the variance in protein levels after adjusting for known protein quantitative trait loci (pQTL) genetic effects. By projecting these EpiScores into an independent sample (Generation Scotland; n = 9537) and relating them to incident morbidities over a follow-up of 14 years, we uncovered 137 EpiScore-disease associations. These associations were largely independent of immune cell proportions, common lifestyle and health factors, and biological aging. Notably, we found that our diabetes-associated EpiScores highlighted previous top biomarker associations from proteome-wide assessments of diabetes. These EpiScores for protein levels can therefore be a valuable resource for disease prediction and risk stratification.

Indexed as

AdolescentAdultAgedAged, 80 and overAgingBiomarkersCardiovascular DiseasesDiabetes MellitusDNA MethylationEpigenesis, GeneticEpigenomicsFemaleHumansLife StyleMaleMiddle AgedBiomarkersProteomeagingbiomarkerepidemiologyepigeneticgeneticsgenomicsglobal healthhumanmorbiditiypredictionproteomics

Identifiers

PMID35023833
PMCPMC8880990
OpenAlexW4221021711

What OpenQuestion holds

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LicenceCC BY
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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.