Evidence map›Paper›PMID 33277303›Full record

ArticleDiabetes care2021

Sex Differences in the Risk of Coronary Heart Disease Associated With Type 2 Diabetes: A Mendelian Randomization Analysis.

Tricia M Peters, Michael V Holmes, J Brent Richards, Tom Palmer, Vincenzo Forgetta, Cecilia M Lindgren, Folkert W Asselbergs, Christopher P Nelson, Nilesh J Samani, Mark I McCarthy and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

25 citing papers in PubMed, 33 citations in OpenAlex.

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  2. Women's heart disease research in the netherlands: angina with non-obstructive coronary artery disease and beyond.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2025
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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

15 authors at 10 institutions in 7 countries.

Tricia M PetersCentre for Clinical Epidemiology, Lady Davis Institute for Medical Research, Montreal, Quebec, Canada tricia.peters@mcgill.ca.ORCID 0000-0002-5037-0427
Michael V HolmesMedical Research Council Population Health Research Unit, University of Oxford, Oxford, U.K.ORCID 0000-0001-6617-0879
J Brent RichardsCentre for Clinical Epidemiology, Lady Davis Institute for Medical Research, Montreal, Quebec, Canada.ORCID 0000-0002-3746-9086
Tom PalmerMedical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, U.K.
Vincenzo ForgettaCentre for Clinical Epidemiology, Lady Davis Institute for Medical Research, Montreal, Quebec, Canada.
Cecilia M LindgrenBig Data Institute, Li Ka Shing Center for Health Information and Discovery, Oxford University, Oxford, U.K.
Folkert W AsselbergsDepartment of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Christopher P NelsonDepartment of Cardiovascular Sciences, University of Leicester, Leicester, U.K.
Nilesh J SamaniDepartment of Cardiovascular Sciences, University of Leicester, Leicester, U.K.
Mark I McCarthyWellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, U.K.
Anubha MahajanWellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, U.K.
George Davey SmithMedical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, U.K.
Mark WoodwardGeorge Institute for Global Health, University of Oxford, Oxford, U.K.ORCID 0000-0001-9800-5296
Linda M O'KeeffeMedical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, U.K.
Sanne A E PetersGeorge Institute for Global Health, University of Oxford, Oxford, U.K.ORCID 0000-0003-0346-5412
Jewish General Hospital · CABristol City Council · GBCentre for Human Genetics · GBUniversity of Leicester · GBBroad Institute · USJohns Hopkins University · USPopulation Council · INThe George Institute for Global Health · GBUniversity College Cork · IEUniversity of London · GB

Funding

XOLAIR IN SUBJECTS WITH MODERATE TO SEVERE ATOPIC DERMATITIS WITH FOOD ALLERGYM01RR000070 · NCRR · STANFORD UNIVERSITY · PI RASGON, NATALIE L · 1985 to 2008
$32.4M
The Genetic Determinants of Human GNRH DeficiencyP50HD028138 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI CROWLEY, WILLIAM FRANCIS · 2014 to 2020
$12.9M
Integrating genome-scale data to reveal causal mechanisms in type 2 diabetesU01DK105535 · NIDDK · UNIVERSITY OF OXFORD · PI GLOYN, ANNA LOUISE · 2015 to 2019
$1.7M
British Heart Foundation FS/18/23/33512Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MC_UU_00011/1Medical Research Council MR/M014509/1Medical Research Council MR/P014550/1NCRR NIH HHS M01 RR000070NICHD NIH HHS P50 HD028138NIDDK NIH HHS U01 DK105535Wellcome Trust 090532Wellcome Trust 098381Wellcome Trust 203141Wellcome Trust 212259
6 · The paper itself

Abstract

objectiveObservational studies have demonstrated that type 2 diabetes is a stronger risk factor for coronary heart disease (CHD) in women compared with men. However, it is not clear whether this reflects a sex differential in the causal effect of diabetes on CHD risk or results from sex-specific residual confounding. RESEARCH DESIGN AND

methodsUsing 270 single nucleotide polymorphisms (SNPs) for type 2 diabetes identified in a type 2 diabetes genome-wide association study, we performed a sex-stratified Mendelian randomization (MR) study of type 2 diabetes and CHD using individual participant data in UK Biobank (251,420 women and 212,049 men). Weighted median, MR-Egger, MR-pleiotropy residual sum and outlier, and radial MR from summary-level analyses were used for pleiotropy assessment.

resultsMR analyses showed that genetic risk of type 2 diabetes increased the odds of CHD for women (odds ratio 1.13 [95% CI 1.08-1.18] per 1-log unit increase in odds of type 2 diabetes) and men (1.21 [1.17-1.26] per 1-log unit increase in odds of type 2 diabetes). Sensitivity analyses showed some evidence of directional pleiotropy; however, results were similar after correction for outlier SNPs.

conclusionsThis MR analysis supports a causal effect of genetic liability to type 2 diabetes on risk of CHD that is not stronger for women than men. Assuming a lack of bias, these findings suggest that the prevention and management of type 2 diabetes for CHD risk reduction is of equal priority in both sexes.

Indexed as

Coronary DiseaseDiabetes Mellitus, Type 2Sex FactorsFemaleGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisPolymorphism, Single Nucleotide

Identifiers

PMID33277303
PMCPMC7818328
OpenAlexW3101578773

What OpenQuestion holds

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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.