Evidence mapPaperPMID 34535985Full record

SynthesisHepatology communications2022

Genome-Wide Association Study of NAFLD Using Electronic Health Records.

Cameron J Fairfield, Thomas M Drake, Riinu Pius, Andrew D Bretherick, Archie Campbell, David W Clark, Jonathan A Fallowfield, Caroline Hayward, Neil C Henderson, Peter K Joshi and 11 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Hepatology communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 3 pooled it
9.3field-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

60 citing papers in PubMed, 3 syntheses or guidelines pooled it, 93 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Review
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Clinical and Genetic Predictors of Non-Alcoholic Steatotic Liver Disease and Fibrosis in Lean Individuals.Liver international : official journal of the International Association for the Study of the Liver · 2025
    Article
  17. 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

21 authors at 6 institutions in 2 countries.

Cameron J FairfieldCentre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, Scotland.ORCID 0000-0001-7635-1868
Thomas M DrakeCentre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, Scotland.
Riinu PiusCentre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, Scotland.
Andrew D BretherickMRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland.
Archie CampbellCentre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, Scotland.
David W ClarkCentre for Global Health Research, Usher Institute, University of Edinburgh, Edingburgh, Scotland.
Jonathan A FallowfieldCentre for Inflammation Research, Queen's Medical Research Institute, University of Edinburgh, Edingburgh, Scotland.ORCID 0000-0002-5741-1471
Caroline HaywardMRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland.
Neil C HendersonCentre for Inflammation Research, Queen's Medical Research Institute, University of Edinburgh, Edingburgh, Scotland.ORCID 0000-0002-2273-4094
Peter K JoshiCentre for Global Health Research, Usher Institute, University of Edinburgh, Edingburgh, Scotland.
Nicholas L MillsCentre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edingburgh, Scotland.
David J PorteousCentre for Genomic and Experimental Medicine, Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, Scotland.
Prakash RamachandranCentre for Inflammation Research, Queen's Medical Research Institute, University of Edinburgh, Edingburgh, Scotland.
Robert K SempleCentre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edingburgh, Scotland.
Catherine A ShawCentre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, Scotland.
Cathie L M SudlowCentre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, Scotland.
Paul R H J TimmersMRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland.
James F WilsonMRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland.
Stephen J WigmoreDepartment of Clinical Surgery, Division of Health Sciences, University of Edinburgh, Edingburgh, Scotland.
Ewen M Harrison *Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, Scotland.
Athina Spiliopoulou *Centre for Global Health Research, Usher Institute, University of Edinburgh, Edingburgh, Scotland.
The Queen's Medical Research Institute · GBCentre for Global Health Research · CAQueen's Medical Centre · GBEdinburgh Cancer Research · GBInstitute of Genetics and Cancer · GBUniversity of Edinburgh · GB

Funding

British Heart Foundation CH/F/21/90010British Heart Foundation FS/16/14/32023British Heart Foundation RE/18/5/34216Chief Scientist Office CZD/16/6Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MC_UU_00007/10Medical Research Council MR/N008340/1Medical Research Council MR/T008008/1Medical Research Council MR/W015919/1Wellcome TrustWellcome Trust 104036/Z/14/ZWellcome Trust 204979/Z/16/ZWellcome Trust 210752/Z/18/ZWellcome Trust 216767/Z/19/ZWellcome Trust 219542/Z/19/Z
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have identified several risk loci for nonalcoholic fatty liver disease (NAFLD). Previous studies have largely relied on small sample sizes and have assessed quantitative traits. We performed a case-control GWAS in the UK Biobank using recorded diagnosis of NAFLD based on diagnostic codes recommended in recent consensus guidelines. We performed a GWAS of 4,761 cases of NAFLD and 373,227 healthy controls without evidence of NAFLD. Sensitivity analyses were performed excluding other co-existing hepatic pathology, adjusting for body mass index (BMI) and adjusting for alcohol intake. A total of 9,723,654 variants were assessed by logistic regression adjusted for age, sex, genetic principal components, and genotyping batch. We performed a GWAS meta-analysis using available summary association statistics. Six risk loci were identified (P < 5*10

Indexed as

Genetic Predisposition to DiseaseAcyltransferasesAdaptor Proteins, Signal TransducingApolipoproteins ECase-Control StudiesCodon, NonsenseElectronic Health RecordsFemaleGenome-Wide Association StudyHumansIntracellular Signaling Peptides and ProteinsMaleMembrane ProteinsMiddle AgedMutation, MissenseNon-alcoholic Fatty Liver DiseaseAcyltransferasesAdaptor Proteins, Signal Transducingapolipoprotein E (133-149)Apolipoproteins ECodon, NonsenseGCKR protein, humanIntracellular Signaling Peptides and ProteinsMARK1 protein, humanMembrane ProteinsPeptide FragmentsPhospholipases A2, Calcium-IndependentPNPLA3 protein, humanProtein Serine-Threonine KinasesTM6SF2 protein, humanTRIB1 protein, human

Identifiers

PMID34535985
PMCPMC8793997
OpenAlexW3199436224

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.