Evidence map›Paper›PMID 31518429›Full record

ArticleInternational journal of epidemiology2019

Phenome-wide Mendelian-randomization study of genetically determined vitamin D on multiple health outcomes using the UK Biobank study.

Xiangrui Meng, Xue Li, Maria N Timofeeva, Yazhou He, Athina Spiliopoulou, Wei-Qi Wei, Aliya Gifford, Hongjiang Wu, Timothy Varley, Peter Joshi and 7 more

Open access · hybridAbstract read
In one paragraph

Article in International journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 5 pooled it
6.9field-weighted citation impact, top 2% 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

42 citing papers in PubMed, 5 syntheses or guidelines pooled it, 79 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 8 institutions in 4 countries.

Xiangrui MengCentre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
Xue LiCentre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
Maria N TimofeevaColon Cancer Genetics Group and Academic Coloproctology, Institute of Genetics and Molecular Medicine, University of Edinburgh, and MRC Human Genetics Unit Western General Hospital Edinburgh, Edinburgh, UK.
Yazhou HeCentre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
Athina SpiliopoulouCentre for Population Health Sciences, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, UK.
Wei-Qi WeiDepartment of Biomedical Informatics, Vanderbilt University Medical Centre, Nashville, TN, USA.
Aliya GiffordDepartment of Biomedical Informatics, Vanderbilt University Medical Centre, Nashville, TN, USA.
Hongjiang WuCentre for Population Health Sciences, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, UK.
Timothy VarleyPublic Health and Intelligence, NHS National Services Scotland, Edinburgh, UK.
Peter JoshiCentre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
Joshua C DennyDepartment of Biomedical Informatics, Vanderbilt University Medical Centre, Nashville, TN, USA.
Susan M FarringtonColon Cancer Genetics Group and Academic Coloproctology, Institute of Genetics and Molecular Medicine, University of Edinburgh, and MRC Human Genetics Unit Western General Hospital Edinburgh, Edinburgh, UK.
Lina ZgagaDiscipline of Public Health and Primary Care, Institute of Population Health, Trinity College Dublin, University of Dublin, Dublin, Ireland.
Malcolm G DunlopColon Cancer Genetics Group and Academic Coloproctology, Institute of Genetics and Molecular Medicine, University of Edinburgh, and MRC Human Genetics Unit Western General Hospital Edinburgh, Edinburgh, UK.
Paul McKeigueCentre for Population Health Sciences, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, UK.
Harry CampbellCentre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
Evropi TheodoratouCentre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
University of Edinburgh · GBGlasgow Centre for Population Health · GBVanderbilt University Medical Center · USWestern General Hospital · GBEdinburgh Cancer Research · GBNational Health Service Scotland · GBSichuan University · CNTrinity College Dublin · IE

Funding

Exploring Statin Pleiotropic Effects within a Very Large EHR Cohort - Diversity SupplementR01HL133786 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WEI, WEI-QI · 2017 to 2020
$1.7M
Cancer Research UK 12076Cancer Research UK 18927Cancer Research UK 22804Cancer Research UK C31250/A22804Cancer Research UK C348/A18927Medical Research Council G0600237Medical Research Council G0600329Medical Research Council MC_PC_17228Medical Research Council MC_PC_U127527198Medical Research Council MC_QA137853Medical Research Council MC_U127527198Medical Research Council MC_UU_00007/1Medical Research Council MR/K018647/1NHLBI NIH HHS R01 HL133786
6 · The paper itself

Abstract

backgroundVitamin D deficiency is highly prevalent across the globe. Existing studies suggest that a low vitamin D level is associated with more than 130 outcomes. Exploring the causal role of vitamin D in health outcomes could support or question vitamin D supplementation.

methodsWe carried out a systematic literature review of previous Mendelian-randomization studies on vitamin D. We then implemented a Mendelian Randomization-Phenome Wide Association Study (MR-PheWAS) analysis on data from 339 256 individuals of White British origin from UK Biobank. We first ran a PheWAS analysis to test the associations between a 25(OH)D polygenic risk score and 920 disease outcomes, and then nine phenotypes (i.e. systolic blood pressure, diastolic blood pressure, risk of hypertension, T2D, ischaemic heart disease, body mass index, depression, non-vertebral fracture and all-cause mortality) that met the pre-defined inclusion criteria for further analysis were examined by multiple MR analytical approaches to explore causality.

resultsThe PheWAS analysis did not identify any health outcome associated with the 25(OH)D polygenic risk score. Although a selection of nine outcomes were reported in previous Mendelian-randomization studies or umbrella reviews to be associated with vitamin D, our MR analysis, with substantial study power (>80% power to detect an association with an odds ratio >1.2 for per standard deviation increase of log-transformed 25[OH]D), was unable to support an interpretation of causal association.

conclusionsWe investigated the putative causal effects of vitamin D on multiple health outcomes in a White population. We did not support a causal effect on any of the disease outcomes tested. However, we cannot exclude small causal effects or effects on outcomes that we did not have enough power to explore due to the small number of cases.

Indexed as

AdultAgedAge DistributionBiological Specimen BanksBlood PressureBody Mass IndexDatabases, FactualDepressionDiabetes Mellitus, Type 2FemaleFractures, BoneGenetic Predisposition to DiseaseGenome-Wide Association StudyHealth BehaviorHumansHypertension25(OH)DMendelian randomizationPheWASvitamin D

Identifiers

PMID31518429
PMCPMC6857754
OpenAlexW2972890559

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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.