Evidence map›Paper›PMID 35129650›Full record

ArticleDiabetologia2022

Separating the direct effects of traits on atherosclerotic cardiovascular disease from those mediated by type 2 diabetes.

Venexia M Walker, Marijana Vujkovic, Alice R Carter, Neil M Davies, Miriam S Udler, Michael G Levin, George Davey Smith, Benjamin F Voight, Tom R Gaunt, Scott M Damrauer

Open access · hybridAbstract read
In one paragraph

Article in Diabetologia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-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

9 citing papers in PubMed, 12 citations in OpenAlex.

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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

10 authors at 7 institutions in 3 countries.

Venexia M WalkerMRC University of Bristol Integrative Epidemiology Unit, Bristol, UK. venexia.walker@bristol.ac.uk.ORCID 0000-0001-5064-446X
Marijana VujkovicDepartment of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID 0000-0003-4924-5714
Alice R CarterMRC University of Bristol Integrative Epidemiology Unit, Bristol, UK.ORCID 0000-0003-2817-4195
Neil M DaviesMRC University of Bristol Integrative Epidemiology Unit, Bristol, UK.ORCID 0000-0002-2460-0508
Miriam S UdlerCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0003-3824-9162
Michael G LevinDivision of Cardiovascular Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID 0000-0002-9937-9932
George Davey SmithMRC University of Bristol Integrative Epidemiology Unit, Bristol, UK.ORCID 0000-0002-1407-8314
Benjamin F VoightDepartment of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID 0000-0002-6205-9994
Tom R GauntMRC University of Bristol Integrative Epidemiology Unit, Bristol, UK.ORCID 0000-0003-0924-3247
Scott M DamrauerDepartment of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID 0000-0001-8009-1632
University of Bristol · GBPhiladelphia VA Medical Center · USAt Bristol · GBMassachusetts General Hospital · USNorwegian University of Science and Technology · NOTranslational Therapeutics (United States) · USUniversity of Pennsylvania · US

Funding

Training Program in Cardiovascular Biology and MedicineT32HL007843 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI THOMAS P. CAPPOLA, Sharlene M Day · 1996 to 2026
$11.0M
Functional Interrogation of T2D-associated genes in human stem cell-derived models and miceUM1DK126194 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI GRANT, STRUAN F A, KAESTNER, KLAUS H · 2020 to 2024
$8.8M
Algorithms to identify non-coding mutational burden and disease-relevant pathwaysR01DK101478 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI VOIGHT, BENJAMIN FRANKLIN · 2014 to 2018
$2.9M
Clinical Implications of Genetically Defined Diabetes Subtypes and Application to Electronic Health Medical Record SystemsK23DK114551 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI UDLER, MIRIAM SARGON · 2017 to 2021
$1000k
Algorithms to identify non-coding mutational burden and disease-relevant pathwaysR56DK101478 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI VOIGHT, BENJAMIN FRANKLIN · 2019 to 2019
$272k
Precision Cardio-Metabolic Phenotyping for Genetic Discovery and Risk PredictionIK2CX001780 · VA · PHILADELPHIA VA MEDICAL CENTER · PI DAMRAUER, SCOTT MICHAEL · 2018 to 2023
–
British Heart Foundation AA/18/1/34219CSRD VA IK2 CX001780Medical Research Council MC_PC_20030Medical Research Council MC_PC_20051Medical Research Council MC_PC_20059Medical Research Council MC_UU_00011/1Medical Research Council MC_UU_00011/4Medical Research Council MC_UU_00011/6Medical Research Council MC_UU_00019/4NHLBI NIH HHS T32 HL007843NIDDK NIH HHS K23 DK114551NIDDK NIH HHS R01 DK101478NIDDK NIH HHS R56 DK101478NIDDK NIH HHS UM1 DK126194
6 · The paper itself

Abstract

aims/hypothesisType 2 diabetes and atherosclerotic CVD share many risk factors. This study aimed to systematically assess a broad range of continuous traits to separate their direct effects on coronary and peripheral artery disease from those mediated by type 2 diabetes.

methodsOur main analysis was a two-step Mendelian randomisation for mediation to quantify the extent to which the associations observed between continuous traits and liability to atherosclerotic CVD were mediated by liability to type 2 diabetes. To support this analysis, we performed several univariate Mendelian randomisation analyses to examine the associations between our continuous traits, liability to type 2 diabetes and liability to atherosclerotic CVD.

resultsEight traits were eligible for the two-step Mendelian randomisation with liability to coronary artery disease as the outcome and we found similar direct and total effects in most cases. Exceptions included fasting insulin and hip circumference where the proportion mediated by liability to type 2 diabetes was estimated as 56% and 52%, respectively. Six traits were eligible for the analysis with liability to peripheral artery disease as the outcome. Again, we found limited evidence to support mediation by liability to type 2 diabetes for all traits apart from fasting insulin (proportion mediated: 70%). CONCLUSIONS/

interpretationMost traits were found to affect liability to atherosclerotic CVD independently of their relationship with liability to type 2 diabetes. These traits are therefore important for understanding atherosclerotic CVD risk regardless of an individual's liability to type 2 diabetes.

Indexed as

AtherosclerosisCardiovascular DiseasesDiabetes Mellitus, Type 2Peripheral Arterial DiseaseGenome-Wide Association StudyHumansInsulinMendelian Randomization AnalysisPolymorphism, Single NucleotideRisk FactorsInsulinAtherosclerotic cardiovascular diseaseCoronary artery diseaseDirect effectGenome-wide association studyIndirect effectMediationMendelian randomisationPeripheral artery diseaseType 2 diabetes

Identifiers

PMID35129650
PMCPMC8960614
OpenAlexW4210671912

What OpenQuestion holds

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LicenceCC BY
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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.