Evidence map›Paper›PMID 28678979›Full record

ArticleJAMA cardiology2017

Association of Body Mass Index With Cardiometabolic Disease in the UK Biobank: A Mendelian Randomization Study.

Donald M Lyall, Carlos Celis-Morales, Joey Ward, Stamatina Iliodromiti, Jana J Anderson, Jason M R Gill, Daniel J Smith, Uduakobong Efanga Ntuk, Daniel F Mackay, Michael V Holmes and 2 more

Abstract read
In one paragraph

Article in JAMA cardiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 148 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
148citing papers in PubMed, 8 pooled it
–field-weighted citation impact
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

148 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  8. Obesity in the Workplace: Impact, Outcomes, and Recommendations.Journal of occupational and environmental medicine · 2018
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  15. Bone Mineral Density and the Risk of Fracture According to eGFR in Postmenopausal Women.Journal of the American Society of Nephrology : JASN · 2026
    Article
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  19. Guangdong Biobank Cohort (GDBC) study.European journal of epidemiology · 2026
    Article
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88 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Donald M LyallInstitute of Health & Wellbeing, University of Glasgow, Glasgow, Scotland.
Carlos Celis-MoralesInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow Scotland.
Joey WardInstitute of Health & Wellbeing, University of Glasgow, Glasgow, Scotland.
Stamatina IliodromitiInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow Scotland.
Jana J AndersonInstitute of Health & Wellbeing, University of Glasgow, Glasgow, Scotland.
Jason M R GillInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow Scotland.
Daniel J SmithInstitute of Health & Wellbeing, University of Glasgow, Glasgow, Scotland.
Uduakobong Efanga NtukInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow Scotland.
Daniel F MackayInstitute of Health & Wellbeing, University of Glasgow, Glasgow, Scotland.
Michael V HolmesClinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England.
Naveed SattarInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow Scotland.
Jill P PellInstitute of Health & Wellbeing, University of Glasgow, Glasgow, Scotland.

Funding

Medical Research Council MC_QA137853Medical Research Council MR/N015177/1
6 · The paper itself

Abstract

Importance: Higher body mass index (BMI) is a risk factor for cardiometabolic disease; however, the underlying causal associations remain unclear. Objectives: To use UK Biobank data to report causal estimates of the association between BMI and cardiometabolic disease outcomes and traits, such as pulse rate, using mendelian randomization. Design, Setting, and Participants: Cross-sectional baseline data from a population-based cohort study including 119 859 UK Biobank participants with complete phenotypic (medical and sociodemographic) and genetic data. Participants attended 1 of 22 assessment centers across the United Kingdom between 2006 and 2010. The present study was conducted from May 1 to July 11, 2016. Main Outcomes and Measures: Prevalence of hypertension, coronary heart disease, and type 2 diabetes were determined at assessment, based on self-report. Blood pressure was measured clinically. Participants self-reported sociodemographic information pertaining to relevant confounders. A polygenic risk score comprising 93 single-nucleotide polymorphisms associated with BMI from previous genome-wide association studies was constructed, and the genetic risk score was applied to derive causal estimates using a mendelian randomization approach. Results: Of the 119 859 individuals included in the study, 56 816 (47.4%) were men; mean (SD) age was 56.87 (7.93) years. Mendelian randomization analysis showed significant positive associations between genetically instrumented higher BMI and risk of hypertension (odds ratio [OR] per 1-SD higher BMI, 1.64; 95% CI, 1.48-1.83; P = 1.1 × 10-19), coronary heart disease (OR, 1.35; 95% CI, 1.09-1.69; P = .007) and type 2 diabetes (OR, 2.53; 95% CI, 2.04-3.13; P = 1.5 × 10-17), as well as systolic blood pressure (β = 1.65 mm Hg; 95% CI, 0.78-2.52 mm Hg; P = 2.0 × 10-04) and diastolic blood pressure (β  = 1.37 mm Hg; 95% CI, 0.88-1.85 mm Hg; P = 3.6 × 10-08). These associations were independent of age, sex, Townsend deprivation scores, alcohol intake, and smoking history. Conclusions and Relevance: The results of this study add to the burgeoning evidence of an association between higher BMI and increased risk of cardiometabolic diseases. This finding has relevance for public health policies in many countries with increasing obesity levels.

Indexed as

Alcohol DrinkingBiological Specimen BanksBlood PressureBody Mass IndexCohort StudiesCoronary DiseaseCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHeart RateHumansHypertensionMaleMendelian Randomization Analysis

Identifiers

PMID28678979
PMCPMC5710596

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.