Evidence map›Paper›PMID 32641083›Full record

ArticleGenome medicine2020

Multi-method genome- and epigenome-wide studies of inflammatory protein levels in healthy older adults.

Robert F Hillary, Daniel Trejo-Banos, Athanasios Kousathanas, Daniel L McCartney, Sarah E Harris, Anna J Stevenson, Marion Patxot, Sven Erik Ojavee, Qian Zhang, David C Liewald and 9 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
5.2field-weighted citation impact, top 4% 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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 70 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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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

19 authors at 7 institutions in 5 countries.

Robert F HillaryCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK.
Daniel Trejo-BanosDepartment of Computational Biology, University of Lausanne, 1015, Lausanne, Switzerland.
Athanasios KousathanasDepartment of Computational Biology, University of Lausanne, 1015, Lausanne, Switzerland.
Daniel L McCartneyCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK.
Sarah E HarrisDepartment of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, UK.
Anna J StevensonCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK.
Marion PatxotDepartment of Computational Biology, University of Lausanne, 1015, Lausanne, Switzerland.
Sven Erik OjaveeDepartment of Computational Biology, University of Lausanne, 1015, Lausanne, Switzerland.
Qian ZhangInstitute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, 4072, Australia.
David C LiewaldDepartment of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, UK.
Craig W RitchieEdinburgh Dementia Prevention, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH16 4UX, UK.
Kathryn L EvansCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK.
Elliot M Tucker-DrobDepartment of Psychology, The University of Texas at Austin, Austin, TX, 78712, USA.
Naomi R WrayInstitute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, 4072, Australia.
Allan F McRaeInstitute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, 4072, Australia.
Peter M VisscherInstitute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, 4072, Australia.
Ian J DearyDepartment of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, UK.
Matthew R RobinsonInstitute of Science and Technology Austria, 3400, Klosterneuburg, Austria. matthew.robinson@ist.ac.at.
Riccardo E MarioniCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK. riccardo.marioni@ed.ac.uk.ORCID 0000-0003-4430-4260
University of Edinburgh · GBThe University of Queensland · AUUniversity of Lausanne · CHNHS Lothian · GBEdinburgh Cancer Research · GBInstitute of Science and Technology Austria · ATThe University of Texas at Austin · US

Funding

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
Biotechnology and Biological Sciences Research Council BB/F019394/1Medical Research Council G0700704Medical Research Council MR/K026992/1Medical Research Council MR/M01311/1NIA NIH HHS R01 AG054628NICHD NIH HHS P2C HD042849Wellcome TrustWellcome Trust 108890/Z/15/ZWellcome Trust 203771/Z/16/Z
6 · The paper itself

Abstract

backgroundThe molecular factors which control circulating levels of inflammatory proteins are not well understood. Furthermore, association studies between molecular probes and human traits are often performed by linear model-based methods which may fail to account for complex structure and interrelationships within molecular datasets.

methodsIn this study, we perform genome- and epigenome-wide association studies (GWAS/EWAS) on the levels of 70 plasma-derived inflammatory protein biomarkers in healthy older adults (Lothian Birth Cohort 1936; n = 876; Olink® inflammation panel). We employ a Bayesian framework (BayesR+) which can account for issues pertaining to data structure and unknown confounding variables (with sensitivity analyses using ordinary least squares- (OLS) and mixed model-based approaches).

resultsWe identified 13 SNPs associated with 13 proteins (n = 1 SNP each) concordant across OLS and Bayesian methods. We identified 3 CpG sites spread across 3 proteins (n = 1 CpG each) that were concordant across OLS, mixed-model and Bayesian analyses. Tagged genetic variants accounted for up to 45% of variance in protein levels (for MCP2, 36% of variance alone attributable to 1 polymorphism). Methylation data accounted for up to 46% of variation in protein levels (for CXCL10). Up to 66% of variation in protein levels (for VEGFA) was explained using genetic and epigenetic data combined. We demonstrated putative causal relationships between CD6 and IL18R1 with inflammatory bowel disease and between IL12B and Crohn's disease.

conclusionsOur data may aid understanding of the molecular regulation of the circulating inflammatory proteome as well as causal relationships between inflammatory mediators and disease.

Indexed as

BiomarkersEpigenomicsGenome-Wide Association StudyGenomicsAgedAged, 80 and overAge FactorsBlood ProteinsComputational BiologyDisease SusceptibilityDNA MethylationEpigenesis, GeneticFemaleGene Expression RegulationHealthy VolunteersHumansBiomarkersBlood ProteinsInflammation MediatorsProteins

Identifiers

PMID32641083
PMCPMC7346642
OpenAlexW3041831590

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.