Evidence map›Paper›PMID 31226389›Full record

ArticleJournal of hepatology2019

Genetic studies of abdominal MRI data identify genes regulating hepcidin as major determinants of liver iron concentration.

Henry R Wilman, Constantinos A Parisinos, Naeimeh Atabaki-Pasdar, Matt Kelly, E Louise Thomas, Stefan Neubauer, IMI DIRECT Consortium, Anubha Mahajan, Aroon D Hingorani, Riyaz S Patel and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of hepatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
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  4. Multi-organ imaging-derived polygenic indexes for brain and body health.medRxiv : the preprint server for health sciences · 2024
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  5. Review
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  12. Ethnic Differences in Iron Status.Advances in nutrition (Bethesda, Md.) · 2021
    Review
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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

15 authors at 8 institutions in 3 countries.

Henry R WilmanResearch Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK; Perspectum Diagnostics Ltd., Oxford, UK.
Constantinos A ParisinosInstitute of Health Informatics, Faculty of Population Health Sciences, University College London, London, UK. Electronic address: c.parisinos@ucl.ac.uk.
Naeimeh Atabaki-PasdarDepartment of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Skåne University Hospital Malmö, Malmö, Sweden.
Matt KellyPerspectum Diagnostics Ltd., Oxford, UK.
E Louise ThomasResearch Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK.
Stefan NeubauerPerspectum Diagnostics Ltd., Oxford, UK; Oxford Centre for Clinical Magnetic Resonance Research, Division of Cardiovascular Medicine, Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK.
IMI DIRECT Consortium
Anubha MahajanWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Aroon D HingoraniInstitute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, UK.
Riyaz S PatelInstitute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, UK.
Harry HemingwayInstitute of Health Informatics, Faculty of Population Health Sciences, University College London, London, UK.
Paul W FranksDepartment of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Skåne University Hospital Malmö, Malmö, Sweden.
Jimmy D BellOxford Centre for Clinical Magnetic Resonance Research, Division of Cardiovascular Medicine, Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK.
Rajarshi BanerjeePerspectum Diagnostics Ltd., Oxford, UK.
Hanieh YaghootkarResearch Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK; Genetics of Complex Traits, College of Medicine and Health, University of Exeter, Exeter, UK. Electronic address: h.yaghootkar@exeter.ac.uk.
University of Westminster · GB(Epi)génomique fonctionnelle métabolique et des dysfonctions dans le diabète de type 2 et des maladies associées · FRLund University · SECentre for Human Genetics · GBUniversity College London · GBUniversity of Oxford · GBUniversity of Exeter · GBHealth Data Research UK · GB

Funding

British Heart Foundation FS/14/76/30933Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Wellcome TrustWellcome Trust 206274/Z/17/Z
6 · The paper itself

Abstract

BACKGROUND &

aimsExcess liver iron content is common and is linked to the risk of hepatic and extrahepatic diseases. We aimed to identify genetic variants influencing liver iron content and use genetics to understand its link to other traits and diseases.

methodsFirst, we performed a genome-wide association study (GWAS) in 8,289 individuals from UK Biobank, whose liver iron level had been quantified by magnetic resonance imaging, before validating our findings in an independent cohort (n = 1,513 from IMI DIRECT). Second, we used Mendelian randomisation to test the causal effects of 25 predominantly metabolic traits on liver iron content. Third, we tested phenome-wide associations between liver iron variants and 770 traits and disease outcomes.

resultsWe identified 3 independent genetic variants (rs1800562 [C282Y] and rs1799945 [H63D] in HFE and rs855791 [V736A] in TMPRSS6) associated with liver iron content that reached the GWAS significance threshold (p <5 × 10

conclusionOur study provides genetic evidence that mechanisms underlying higher liver iron content are likely systemic rather than organ specific, that higher central obesity is causally associated with higher liver iron, and that liver iron shares common aetiology with multiple metabolic and non-metabolic diseases. LAY SUMMARY: Excess liver iron content is common and is associated with liver diseases and metabolic diseases including diabetes, high blood pressure, and heart disease. We identified 3 genetic variants that are linked to an increased risk of developing higher liver iron content. We show that the same genetic variants are linked to higher risk of many diseases, but they may also be associated with some health advantages. Finally, we use genetic variants associated with waist-to-hip ratio as a tool to show that central obesity is causally associated with increased liver iron content.

Indexed as

AdultAgedBiomarkersCohort StudiesFemaleGenome-Wide Association StudyHemochromatosisHemochromatosis ProteinHepcidinsHumansIronLiverMagnetic Resonance ImagingMaleMendelian Randomization AnalysisMiddle AgedBiomarkersHAMP protein, humanHemochromatosis ProteinHepcidinsHFE protein, humanIronGeneticsGenome-wide association studyIronMagnetic resonance imagingMetabolic syndromeMetabolism

Identifiers

PMID31226389
PMCPMC6694204
OpenAlexW2951135870

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.