Evidence map›Paper›PMID 27338949›Full record

ArticleScientific reports2016

Mendelian Randomisation study of the influence of eGFR on coronary heart disease.

Pimphen Charoen, Dorothea Nitsch, Jorgen Engmann, Tina Shah, Jonathan White, Delilah Zabaneh, Barbara Jefferis, Goya Wannamethee, Peter Whincup, Amy Mulick Cassidy and 14 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
2.1field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Kidney Function Measures and Mortality: A Mendelian Randomization Study.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2024
    Article
  6. Observational
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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

24 authors at 14 institutions in 2 countries.

Pimphen CharoenDepartment of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, UK.
Dorothea NitschDepartment of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, UK.
Jorgen EngmannInstitute of Cardiovascular Science, University College London, UK.
Tina ShahInstitute of Cardiovascular Science, University College London, UK.
Jonathan WhiteUniversity College London Genetics Institute, Department of Genetics, Environment and Evolution, University College London, UK.
Delilah ZabanehInstitute of Psychiatry, Psychology &Neuroscience, King's College London, UK.
Barbara JefferisDepartment of Primary Care &Population Health, University College London, UK.
Goya WannametheeDepartment of Primary Care &Population Health, University College London, UK.
Peter WhincupPopulation Health Research Institute, St George's, University of London, UK.
Amy Mulick CassidyDepartment of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, UK.
Tom GauntMRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, UK.
Ian DayMRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, UK.
Stela McLachlanCentre for Population Health Sciences, The Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, UK.
Jacqueline PriceCentre for Population Health Sciences, The Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, UK.
Meena KumariInstitute for Social and Economic Research, University of Essex, UK.
Mika KivimakiDepartment of Epidemiology and Public Health, University College London, UK.
Eric BrunnerDepartment of Epidemiology and Public Health, University College London, UK.
Claudia LangenbergFarr Institute of Health Informatics, University College London, UK.
Yoav Ben-ShlomoSchool of Social and Community Medicine, University of Bristol, UK.
Aroon HingoraniInstitute of Cardiovascular Science, University College London, UK.
John WhittakerDepartment of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, UK.
Juan Pablo CasasDepartment of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, UK.
Frank DudbridgeDepartment of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, UK.
UCLEB Consortium
University College London · GBLondon School of Hygiene & Tropical Medicine · GBUniversity of Bristol · GBMRC Unit for Lifelong Health and Ageing · GBMRC Epidemiology Unit · GBBritish Heart Foundation · GBFarr Institute · GBGlasgow Centre for Population Health · GBKing's College London · GBMahidol Oxford Tropical Medicine Research Unit · THSt George's, University of London · GBThe Royal Free Hospital · GBUniversity of Edinburgh · GBUniversity of Essex · GB

Funding

British Heart Foundation PG/11/63/29011British Heart Foundation PG/13/66/30442British Heart Foundation RG/08/013/25942British Heart Foundation RG/13/16/30528British Heart Foundation RG/13/2/30098Medical Research Council G0500877Medical Research Council MC_U123092720Medical Research Council MC_UU_12015/1Medical Research Council MR/K006215/1Medical Research Council MR/K006584/1Medical Research Council MR/K013351/1
6 · The paper itself

Abstract

Impaired kidney function, as measured by reduced estimated glomerular filtration rate (eGFR), has been associated with increased risk of coronary heart disease (CHD) in observational studies, but it is unclear whether this association is causal or the result of confounding or reverse causation. In this study we applied Mendelian randomisation analysis using 17 genetic variants previously associated with eGFR to investigate the causal role of kidney function on CHD. We used 13,145 participants from the UCL-LSHTM-Edinburgh-Bristol (UCLEB) Consortium and 194,427 participants from the Coronary ARtery DIsease Genome-wide Replication and Meta-analysis plus Coronary Artery Disease (CARDIoGRAMplusC4D) consortium. We observed significant association of an unweighted gene score with CHD risk (odds ratio = 0.983 per additional eGFR-increasing allele, 95% CI = 0.970-0.996, p = 0.008). However, using weights calculated from UCLEB, the gene score was not associated with disease risk (p = 0.11). These conflicting results could be explained by a single SNP, rs653178, which was not associated with eGFR in the UCLEB sample, but has known pleiotropic effects that prevent us from drawing a causal conclusion. The observational association between low eGFR and increased CHD risk was not explained by potential confounders, and there was no evidence of reverse causation, therefore leaving the remaining unexplained association as an open question.

Indexed as

Mendelian Randomization AnalysisCoronary DiseaseGenome-Wide Association StudyGlomerular Filtration RateHumansKidneyOdds RatioPolymorphism, Single NucleotideRisk Factors

Identifiers

PMID27338949
PMCPMC4919785
OpenAlexW2467087145

What Socratic 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 Socratic graph.