Evidence map›Paper›PMID 33031386›Full record

ArticlePLoS medicine2020

Genetics of height and risk of atrial fibrillation: A Mendelian randomization study.

Michael G Levin, Renae Judy, Dipender Gill, Marijana Vujkovic, Shefali S Verma, Yuki Bradford, Regeneron Genetics Center, Marylyn D Ritchie, Matthew C Hyman, Saman Nazarian and 3 more

Open access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
118citing papers in PubMed, 4 pooled it
9.2field-weighted citation impact, top 2% 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

118 citing papers in PubMed, 4 syntheses or guidelines pooled it, 192 citations in OpenAlex.

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58 more citing papers are in PubMed but not listed here.

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

13 authors at 4 institutions in 2 countries.

Michael G LevinDivision of Cardiovascular Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0002-9937-9932
Renae JudyDepartment of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America.
Dipender GillDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0001-7312-7078
Marijana VujkovicDepartment of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0003-4924-5714
Shefali S VermaDepartment of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0001-5216-4670
Yuki BradfordDepartment of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America.
Regeneron Genetics Center
Marylyn D RitchieDepartment of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0002-1208-1720
Matthew C HymanDivision of Cardiovascular Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0002-4050-6925
Saman NazarianDivision of Cardiovascular Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0002-8369-0259
Daniel J RaderDepartment of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0002-9245-9876
Benjamin F VoightDepartment of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0002-6205-9994
Scott M DamrauerCorporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0001-8009-1632
University of Pennsylvania · USPhiladelphia VA Medical Center · USTranslational Therapeutics (United States) · USSt George's, University of London · GB

Funding

Network-based algorithms for target identification and drug repositioning from genetic associationsR01HG010067 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI GREENE, CASEY S · 2018 to 2022
$3.2M
Algorithms to identify non-coding mutational burden and disease-relevant pathwaysR01DK101478 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI VOIGHT, BENJAMIN FRANKLIN · 2014 to 2018
$2.9M
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 CX001780NHGRI NIH HHS R01 HG010067NIDDK NIH HHS R01 DK101478NIDDK NIH HHS R56 DK101478Wellcome Trust
6 · The paper itself

Abstract

backgroundObservational studies have identified height as a strong risk factor for atrial fibrillation, but this finding may be limited by residual confounding. We aimed to examine genetic variation in height within the Mendelian randomization (MR) framework to determine whether height has a causal effect on risk of atrial fibrillation. METHODS AND

findingsIn summary-level analyses, MR was performed using summary statistics from genome-wide association studies of height (GIANT/UK Biobank; 693,529 individuals) and atrial fibrillation (AFGen; 65,446 cases and 522,744 controls), finding that each 1-SD increase in genetically predicted height increased the odds of atrial fibrillation (odds ratio [OR] 1.34; 95% CI 1.29 to 1.40; p = 5 × 10-42). This result remained consistent in sensitivity analyses with MR methods that make different assumptions about the presence of pleiotropy, and when accounting for the effects of traditional cardiovascular risk factors on atrial fibrillation. Individual-level phenome-wide association studies of height and a height genetic risk score were performed among 6,567 European-ancestry participants of the Penn Medicine Biobank (median age at enrollment 63 years, interquartile range 55-72; 38% female; recruitment 2008-2015), confirming prior observational associations between height and atrial fibrillation. Individual-level MR confirmed that each 1-SD increase in height increased the odds of atrial fibrillation, including adjustment for clinical and echocardiographic confounders (OR 1.89; 95% CI 1.50 to 2.40; p = 0.007). The main limitations of this study include potential bias from pleiotropic effects of genetic variants, and lack of generalizability of individual-level findings to non-European populations.

conclusionsIn this study, we observed evidence that height is likely a positive causal risk factor for atrial fibrillation. Further study is needed to determine whether risk prediction tools including height or anthropometric risk factors can be used to improve screening and primary prevention of atrial fibrillation, and whether biological pathways involved in height may offer new targets for treatment of atrial fibrillation.

Indexed as

AdultAgedAtrial FibrillationBody HeightCausalityFemaleForecastingGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisMiddle AgedOdds RatioPhenotypePolymorphism, Single Nucleotide

Identifiers

PMID33031386
PMCPMC7544133
OpenAlexW2997648949

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.