Evidence map›Paper›PMID 31220083›Full record

Observational studyPLoS medicine2019

Associations of genetically determined iron status across the phenome: A mendelian randomization study.

Dipender Gill, Beben Benyamin, Luke S P Moore, Grace Monori, Ang Zhou, Fotios Koskeridis, Evangelos Evangelou, Mike Laffan, Ann P Walker, Konstantinos K Tsilidis and 4 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PLoS medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 3 pooled it
5.1field-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

35 citing papers in PubMed, 3 syntheses or guidelines pooled it, 66 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Observational
  6. Review
  7. Genetic Markers of Postmortem Brain Iron.Journal of neurochemistry · 2025
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Risk Effects of rs1799945 Polymorphism of theInternational journal of molecular sciences · 2023
    Article
  18. Article
  19. Article
  20. 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

14 authors at 7 institutions in 3 countries.

Dipender GillDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0001-7312-7078
Beben BenyaminAustralian Centre for Precision Health, University of South Australia, Adelaide, Australia.ORCID 0000-0001-5608-2293
Luke S P MooreNational Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, United Kingdom.ORCID 0000-0001-7095-7922
Grace MonoriDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.
Ang ZhouAustralian Centre for Precision Health, University of South Australia, Adelaide, Australia.
Fotios KoskeridisDepartment of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece.
Evangelos EvangelouDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0002-5488-2999
Mike LaffanCentre for Haematology, Imperial College London, United Kingdom.
Ann P WalkerPopulation Science & Experimental Medicine, Institute of Cardiovascular Science, University College London, London, United Kingdom.
Konstantinos K TsilidisDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0002-8452-8472
Abbas DehghanDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0001-6403-016X
Paul ElliottDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.
Elina HyppönenAustralian Centre for Precision Health, University of South Australia, Adelaide, Australia.ORCID 0000-0003-3670-9399
Ioanna TzoulakiDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0002-4275-9328
University of Ioannina · GRImperial College London · GBPublic Health England · GBUniversity of South Australia · AUChelsea and Westminster Hospital NHS Foundation Trust · GBThe University of Queensland · AUUniversity College London · GB

Funding

Department of HealthMedical Research Council MR/L01341X/1Wellcome Trust
6 · The paper itself

Abstract

backgroundIron is integral to many physiological processes, and variations in its levels, even within the normal range, can have implications for health. The objective of this study was to explore the broad clinical effects of varying iron status. METHODS AND

findingsGenome-wide association study (GWAS) summary data obtained from 48,972 European individuals (55% female) across 19 cohorts in the Genetics of Iron Status Consortium were used to identify 3 genetic variants (rs1800562 and rs1799945 in the hemochromatosis gene [HFE] and rs855791 in the transmembrane protease serine 6 gene [TMPRSS6]) that associate with increased serum iron, ferritin, and transferrin saturation and decreased transferrin levels, thus serving as instruments for systemic iron status. Phenome-wide association study (PheWAS) of these instruments was performed on 424,439 European individuals (54% female) in the UK Biobank who were aged 40-69 years when recruited from 2006 to 2010, with their genetic data linked to Hospital Episode Statistics (HES) from April, 1995 to March, 2016. Two-sample summary data mendelian randomization (MR) analysis was performed to investigate the effect of varying iron status on outcomes across the human phenome. MR-PheWAS analysis for the 3 iron status genetic instruments was performed separately and then pooled by meta-analysis. Correction was made for testing of multiple correlated phenotypes using a 5% false discovery rate (FDR) threshold. Heterogeneity between MR estimates for different instruments was used to indicate possible bias due to effects of the genetic variants through pathways unrelated to iron status. There were 904 distinct phenotypes included in the MR-PheWAS analyses. After correcting for multiple testing, the 3 genetic instruments for systemic iron status demonstrated consistent evidence of a causal effect of higher iron status on decreasing risk of traits related to anemia (iron deficiency anemia: odds ratio [OR] scaled to a standard deviation [SD] increase in genetically determined serum iron levels 0.72, 95% confidence interval [CI] 0.64-0.81, P = 4 × 10-8) and hypercholesterolemia (hypercholesterolemia: OR 0.88, 95% CI 0.83-0.93, P = 2 × 10-5) and increasing risk of traits related to infection of the skin and related structures (cellulitis and abscess of the leg: OR 1.25, 95% CI 1.10-1.42, P = 6 × 10-4). The main limitations of this study relate to possible bias from pleiotropic effects of the considered genetic variants and misclassification of diagnoses in the HES data. Furthermore, this work only investigated participants with European ancestry, and the findings may not be applicable to other ethnic groups.

conclusionsOur findings offer novel, to our knowledge, insight into previously unreported effects of iron status, highlighting a potential protective effect of higher iron status on hypercholesterolemia and a detrimental role on risk of skin and skin structure infections. Given the modifiable and variable nature of iron status, these findings warrant further investigation.

Indexed as

PhenotypeAdultAgedBiomarkersCohort StudiesFemaleGenome-Wide Association StudyHumansIronMaleMendelian Randomization AnalysisMiddle AgedProspective StudiesBiomarkersIron

Identifiers

PMID31220083
PMCPMC6586257
OpenAlexW2949626096

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.