Evidence map›Paper›PMID 31088856›Full record

ArticleDiabetes2019

Liver Function and Risk of Type 2 Diabetes: Bidirectional Mendelian Randomization Study.

N Maneka G De Silva, Maria Carolina Borges, Aroon D Hingorani, Jorgen Engmann, Tina Shah, Xiaoshuai Zhang, Jian'an Luan, Claudia Langenberg, Andrew Wong, Diana Kuh and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 4 pooled it
10.9field-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

83 citing papers in PubMed, 4 syntheses or guidelines pooled it, 135 citations in OpenAlex.

  1. Pooled it
  2. Effect of Fine Particulate Matter Exposure on Liver Enzymes: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2023
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Article
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  10. Article
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  13. Article
  14. Hypoglycemic effect ofGut microbes · 2025
    Article
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  16. Review
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  18. Article
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23 more citing papers are in PubMed but not listed here.

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

18 authors at 9 institutions in 4 countries.

N Maneka G De SilvaMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, U.K.
Maria Carolina BorgesMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, U.K.ORCID 0000-0001-7785-4547
Aroon D HingoraniUCL Institute of Cardiovascular Science, Research Department of Population Science and Experimental Medicine, Centre for Translational Genomics, University College London, London, U.K.
Jorgen EngmannUCL Institute of Cardiovascular Science, Research Department of Population Science and Experimental Medicine, Centre for Translational Genomics, University College London, London, U.K.
Tina ShahUCL Institute of Cardiovascular Science, Research Department of Population Science and Experimental Medicine, Centre for Translational Genomics, University College London, London, U.K.
Xiaoshuai ZhangMRC Epidemiology Unit, University of Cambridge, Cambridge, U.K.
Jian'an LuanMRC Epidemiology Unit, University of Cambridge, Cambridge, U.K.
Claudia LangenbergMRC Epidemiology Unit, University of Cambridge, Cambridge, U.K.
Andrew WongMRC Unit for Lifelong Health and Ageing at UCL, University College London, London, U.K.
Diana KuhMRC Unit for Lifelong Health and Ageing at UCL, University College London, London, U.K.
John C ChambersDepartment of Epidemiology and Biostatistics, MRC-PHE Centre for Environment & Health, School of Public Health, Imperial College London, London, U.K.
Weihua ZhangDepartment of Epidemiology and Biostatistics, Imperial College London, London, U.K.
Marjo-Ritta JarvelinDepartment of Epidemiology and Biostatistics, Imperial College London, London, U.K.
Sylvain SebertCenter for Life Course Health Research, University of Oulu, Oulu, Finland.
Juha AuvinenCenter for Life Course Health Research, University of Oulu, Oulu, Finland.
UCLEB consortium
Tom R GauntMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, U.K.
Deborah A LawlorMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, U.K. d.a.lawlor@bristol.ac.uk.ORCID 0000-0002-6793-2262
University of Bristol · GBGenomics England · GBMRC Epidemiology Unit · GBMRC Unit for Lifelong Health and Ageing · GBUniversity of Oulu · FIBinzhou Medical University · CNBiocenter Finland · FIEaling Hospital · GBImperial College Healthcare NHS Trust · GB

Funding

Project-001R01AG017644 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI Andrew Steptoe · 2000 to 2026
$56.2M
Socio-economic status and heterogeneity in agingR01AG013196 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI MARMOT, MICHAEL G, SINGH-MANOUX, ARCHANA · 1996 to 2013
$3.5M
Socioeconomic gradient in CHD in early old ageR01HL036310 · NHLBI · UNIVERSITY OF LONDON · PI KIVIMAKI, MIKA J, MARMOT, MICHAEL G · 1986 to 2012
$3.1M
British Heart Foundation AA/18/7/34219British Heart Foundation PG/13/66/30442British Heart Foundation RG/07/008/23674British Heart Foundation RG/08/013/25942British Heart Foundation RG/10/12/28456British Heart Foundation RG/13/16/30528British Heart Foundation SP/13/6/30554Chief Scientist OfficeMedical Research Council G0801456Medical Research Council G1001799Medical Research Council K013351Medical Research Council MC_U106179471Medical Research Council MC_UU_00011/4Medical Research Council MC_UU_00011/6Medical Research Council MC_UU_12013/8Medical Research Council MC_UU_12015/1Medical Research Council MC UU 12019/1Medical Research Council MR/N01104X/1Medical Research Council MR/N01104X/2Medical Research Council MR/P014054/1NHLBI NIH HHS R01 HL036310NIA NIH HHS R01 AG013196NIA NIH HHS R01 AG017644Wellcome Trust
6 · The paper itself

Abstract

Liver dysfunction and type 2 diabetes (T2D) are consistently associated. However, it is currently unknown whether liver dysfunction contributes to, results from, or is merely correlated with T2D due to confounding. We used Mendelian randomization to investigate the presence and direction of any causal relation between liver function and T2D risk including up to 64,094 T2D case and 607,012 control subjects. Several biomarkers were used as proxies of liver function (i.e., alanine aminotransferase [ALT], aspartate aminotransferase [AST], alkaline phosphatase [ALP], and γ-glutamyl transferase [GGT]). Genetic variants strongly associated with each liver function marker were used to investigate the effect of liver function on T2D risk. In addition, genetic variants strongly associated with T2D risk and with fasting insulin were used to investigate the effect of predisposition to T2D and insulin resistance, respectively, on liver function. Genetically predicted higher circulating ALT and AST were related to increased risk of T2D. There was a modest negative association of genetically predicted ALP with T2D risk and no evidence of association between GGT and T2D risk. Genetic predisposition to higher fasting insulin, but not to T2D, was related to increased circulating ALT. Since circulating ALT and AST are markers of nonalcoholic fatty liver disease (NAFLD), these findings provide some support for insulin resistance resulting in NAFLD, which in turn increases T2D risk.

Indexed as

Alanine TransaminaseAspartate AminotransferasesBlood GlucoseDiabetes Mellitus, Type 2Fastinggamma-GlutamyltransferaseHumansInsulin ResistanceLiverMendelian Randomization AnalysisRisk FactorsAlanine TransaminaseAspartate AminotransferasesBlood Glucosegamma-Glutamyltransferase

Identifiers

PMID31088856
PMCPMC7011195
OpenAlexW2946821913

What OpenQuestion holds

Textmetadata
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.