Evidence map›Paper›PMID 37686714›Full record

SynthesisNutrients2023

Genetically Predicted Vegetable Intake and Cardiovascular Diseases and Risk Factors: An Investigation with Mendelian Randomization.

Qi Feng, Andrew J Grant, Qian Yang, Stephen Burgess, Jelena Bešević, Megan Conroy, Wemimo Omiyale, Yangbo Sun, Naomi Allen, Ben Lacey

Abstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

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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.

Qi FengNuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
Andrew J GrantMRC Biostatistics Unit, University of Cambridge, Cambridge CB2 0SZ, UK.
Qian YangMRC Integrative Epidemiology, University of Bristol, Bristol BS1 3NY, UK.
Stephen BurgessMRC Biostatistics Unit, University of Cambridge, Cambridge CB2 0SZ, UK.
Jelena BeševićNuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
Megan ConroyNuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.ORCID 0000-0002-3847-6202
Wemimo OmiyaleNuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
Yangbo SunDepartment of Preventive Medicine, The University of Tennessee Health Science Center, Memphis, TN 38163, USA.ORCID 0000-0003-0377-4450
Naomi AllenNuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.ORCID 0000-0003-1938-5038
Ben LaceyNuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.

Funding

Medical Research Council MC_UU_00002/7Wellcome Trust 100114Wellcome Trust 204623/Z/16/Z
6 · The paper itself

Abstract

backgroundThe associations between vegetable intake and cardiovascular diseases have been demonstrated in observational studies, but less sufficiently in randomized trials. Mendelian randomization has been considered a promising alternative in causal inference. The separate effects of cooked and raw vegetable intake remain unclear. This study aimed to investigate the associations between cooked and raw vegetable intake with cardiovascular outcomes using MR.

methodsWe identified 15 and 28 genetic variants statistically and biologically associated with cooked and raw vegetable intake, respectively, from previous genome-wide association studies, which were used as instrumental variables to estimate associations with coronary heart disease (CHD), stroke, heart failure (HF), and atrial fibrillation (AF). The independent effects of genetically predicted cooked and raw vegetable intake were examined using multivariable MR analysis. We performed one-sample and two-sample MR analyses and combined their results using meta-analysis. Bonferroni correction was applied for multiple comparisons. We performed two-sample MR analysis for cardiometabolic risk factors (serum lipids, blood pressure, body mass index, and glycemic traits) to explore the potential mechanisms.

resultsIn the MR meta-analysis of 1.2 million participants, we found null evidence for associations between genetically predicted cooked and raw vegetable intake with CHD, HF, or AF. Raw vegetable intake was nominally associated with stroke (odds ratio [95% confidence interval] 0.82 [0.69-0.98] per 1 daily serving increase,

conclusionsWe found null evidence for associations between genetically predicted vegetable intake with CHD, AF, HF, or cardiometabolic risk factors in this MR study. Raw vegetable intake may reduce risk of stroke, but this warrants more research. True associations between vegetable intake and CVDs cannot be completely ruled out, and future investigations are required for causal inference in nutritional research.

Indexed as

Atrial FibrillationCardiovascular DiseasesHeart FailureGenome-Wide Association StudyHumansLipidsMendelian Randomization AnalysisVegetablesLipidscardiometabolic risk factorscardiovascular diseasescooked vegetableMendelian randomizationpolygenic risk scoreraw vegetableUK Biobankvegetable intake

Identifiers

PMID37686714
PMCPMC10490460

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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.