Evidence map›Paper›PMID 32247823›Full record

ArticleJournal of hepatology2020

Genome-wide and Mendelian randomisation studies of liver MRI yield insights into the pathogenesis of steatohepatitis.

Constantinos A Parisinos, Henry R Wilman, E Louise Thomas, Matt Kelly, Rowan C Nicholls, John McGonigle, Stefan Neubauer, Aroon D Hingorani, Riyaz S Patel, Harry Hemingway and 3 more

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Journal of hepatology, 2020. 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 84 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 4 pooled it
12.1field-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

84 citing papers in PubMed, 4 syntheses or guidelines pooled it, 170 citations in OpenAlex.

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  9. Genetic analysis of imaging-derived phenotypes.Nature reviews. Genetics · 2026
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24 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 5 institutions in 2 countries.

Constantinos A ParisinosInstitute of Health Informatics, Faculty of Population Health Sciences, University College London, London, UK. Electronic address: c.parisinos@ucl.ac.uk.
Henry R WilmanResearch Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK; Perspectum Diagnostics Ltd., Oxford, UK.
E Louise ThomasResearch Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK.
Matt KellyPerspectum Diagnostics Ltd., Oxford, UK.
Rowan C NichollsPerspectum Diagnostics Ltd., Oxford, UK.
John McGoniglePerspectum Diagnostics Ltd., Oxford, 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.
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 HemingwayHealth Data Research UK London, Institute of Health Informatics, Faculty of Population Health Sciences, University College London, London, UK.
Jimmy D BellResearch Centre for Optimal Health, School of Life Sciences, University of Westminster, London, 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; Division of Medical Sciences, Department of Health Sciences, Luleå University of Technology, Luleå, Sweden. Electronic address: h.yaghootkar@exeter.ac.uk.
University of Westminster · GBHealth Data Research UK · GBUniversity College London · GBLuleå University of Technology · SEUniversity of Oxford · GB

Funding

British Heart Foundation FS/14/76/30933British Heart Foundation RG/10/12/28456British Heart Foundation SP/13/6/30554Department of Health 05/40/04Department of Health RP-PG-0407-10314Medical Research Council G0600580Medical Research Council G0601354Medical Research Council G0801414Medical Research Council G0801566Medical Research Council G0802318Medical Research Council G0902037Medical Research Council G0902393Medical Research Council MC_PC_13041Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/K006584/1Medical Research Council MR/M501633/2Wellcome Trust 206274/Z/17/Z
6 · The paper itself

Abstract

BACKGROUND &

aimsMRI-based corrected T1 (cT1) is a non-invasive method to grade the severity of steatohepatitis and liver fibrosis. We aimed to identify genetic variants influencing liver cT1 and use genetics to understand mechanisms underlying liver fibroinflammatory disease and its link with other metabolic traits and diseases.

methodsFirst, we performed a genome-wide association study (GWAS) in 14,440 Europeans, with liver cT1 measures, from the UK Biobank. Second, we explored the effects of the cT1 variants on liver blood tests, and a range of metabolic traits and diseases. Third, we used Mendelian randomisation to test the causal effects of 24 predominantly metabolic traits on liver cT1 measures.

resultsWe identified 6 independent genetic variants associated with liver cT1 that reached the GWAS significance threshold (p <5×10

conclusionThe association between 2 metal ion transporters and cT1 indicates an important new mechanism in steatohepatitis. Future studies are needed to determine whether interventions targeting the identified transporters might prevent liver disease in at-risk individuals. LAY SUMMARY: We estimated levels of liver inflammation and scarring based on magnetic resonance imaging of 14,440 UK Biobank participants. We performed a genetic study and identified variations in 6 genes associated with levels of liver inflammation and scarring. Participants with variations in 4 of these genes also had higher levels of markers of liver cell injury in blood samples, further validating their role in liver health. Two identified genes are involved in the transport of metal ions in our body. Further investigation of these variations may lead to better detection, assessment, and/or treatment of liver inflammation and scarring.

Indexed as

LiverCation Transport ProteinsEuropeFatty LiverFemaleGenetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyHumansLiver CirrhosisMagnetic Resonance ImagingMaleMendelian Randomization AnalysisMetabolic SyndromeMiddle AgedPolymorphism, Single NucleotideCation Transport ProteinsSLC30A10 protein, humanSLC39A8 protein, humancT1FibrosisGenome-wide association studyMagnetic resonance imagingMetabolic syndromeSteatohepatitisTransaminases

Identifiers

PMID32247823
PMCPMC7372222
OpenAlexW3014806942

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.