Evidence map›Paper›PMID 38959188›Full record

ArticlePloS one2024

Mendelian randomization analyses clarify the effects of height on cardiovascular diseases.

Daniel Hui, Eric Sanford, Kimberly Lorenz, Scott M Damrauer, Themistocles L Assimes, Christopher S Thom, Benjamin F Voight

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Daniel HuiGraduate Program in Genomics and Computational Biology, University of Pennsylvania, Philadelphia, PA, United States of America.
Eric SanfordMedical Scientist Training Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
Kimberly LorenzDepartment of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA, United States of America.ORCID 0000-0001-8674-2942
Scott M DamrauerDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
Themistocles L AssimesVA Palo Alto Health Care System, Palo Alto, CA, United States of America.ORCID 0000-0003-2349-0009
Christopher S ThomDivision of Neonatology, Children's Hospital of Philadelphia, Philadelphia, PA, United States of America.ORCID 0000-0003-1830-9922
Benjamin F VoightDepartment of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA, United States of America.ORCID 0000-0002-6205-9994

Funding

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
Determining genetic mechanisms that drive in vitro hematopoiesisK99HL156052 · NHLBI · CHILDREN'S HOSP OF PHILADELPHIA · PI THOM, CHRISTOPHER STEPHEN · 2021 to 2024
$670k
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
–
CSRD VA IK2 CX001780NHLBI NIH HHS K99 HL156052NIDDK NIH HHS R01 DK101478NIDDK NIH HHS R56 DK101478NIDDK NIH HHS UM1 DK126194
6 · The paper itself

Abstract

An inverse correlation between stature and risk of coronary artery disease (CAD) has been observed in several epidemiologic studies, and recent Mendelian randomization (MR) experiments have suggested causal association. However, the extent to which the effect estimated by MR can be explained by cardiovascular, anthropometric, lung function, and lifestyle-related risk factors is unclear, with a recent report suggesting that lung function traits could fully explain the height-CAD effect. To clarify this relationship, we utilized a well-powered set of genetic instruments for human stature, comprising >1,800 genetic variants for height and CAD. In univariable analysis, we confirmed that a one standard deviation decrease in height (~6.5 cm) was associated with a 12.0% increase in the risk of CAD, consistent with previous reports. In multivariable analysis accounting for effects from up to 12 established risk factors, we observed a >3-fold attenuation in the causal effect of height on CAD susceptibility (3.7%, p = 0.02). However, multivariable analyses demonstrated independent effects of height on other cardiovascular traits beyond CAD, consistent with epidemiologic associations and univariable MR experiments. In contrast with published reports, we observed minimal effects of lung function traits on CAD risk in our analyses, indicating that these traits are unlikely to explain the residual association between height and CAD risk. In sum, these results suggest the impact of height on CAD risk beyond previously established cardiovascular risk factors is minimal and not explained by lung function measures.

Indexed as

Body HeightCoronary Artery DiseaseMendelian Randomization AnalysisCardiovascular DiseasesFemaleGenetic Predisposition to DiseaseHumansMalePolymorphism, Single NucleotideRisk Factors

Identifiers

PMID38959188
PMCPMC11221663

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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.