Evidence map›Paper›PMID 34814924›Full record

ArticleBMC medicine2021

Causal effects of atrial fibrillation on brain white and gray matter volume: a Mendelian randomization study.

Sehoon Park, Soojin Lee, Yaerim Kim, Semin Cho, Kwangsoo Kim, Yong Chul Kim, Seung Seok Han, Hajeong Lee, Jung Pyo Lee, Soryoung Lee and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.5field-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

15 citing papers in PubMed, 22 citations in OpenAlex.

  1. Genetic analysis of imaging-derived phenotypes.Nature reviews. Genetics · 2026
    Review
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  10. Association of smoking with brain gray and white matter volume: a Mendelian randomization study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023
    Article
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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 5 institutions in 1 country.

Sehoon ParkDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea.
Soojin LeeDepartment of Internal Medicine, Department of Internal Medicine, Uijeongbu Eulji University Medical Center, Gyeonggi-do, Uijeongbu, Korea.
Yaerim KimDepartment of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea.
Semin ChoDepartment of Internal Medicine, Department of Internal Medicine, Uijeongbu Eulji University Medical Center, Gyeonggi-do, Uijeongbu, Korea.
Kwangsoo KimTransdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, Korea.
Yong Chul KimDepartment of Internal Medicine, Department of Internal Medicine, Uijeongbu Eulji University Medical Center, Gyeonggi-do, Uijeongbu, Korea.
Seung Seok HanDepartment of Internal Medicine, Department of Internal Medicine, Uijeongbu Eulji University Medical Center, Gyeonggi-do, Uijeongbu, Korea.
Hajeong LeeDepartment of Internal Medicine, Department of Internal Medicine, Uijeongbu Eulji University Medical Center, Gyeonggi-do, Uijeongbu, Korea.
Jung Pyo LeeDepartment of Internal Medicine, Department of Internal Medicine, Uijeongbu Eulji University Medical Center, Gyeonggi-do, Uijeongbu, Korea.
Soryoung LeeDepartment of Internal Medicine, Department of Internal Medicine, Uijeongbu Eulji University Medical Center, Gyeonggi-do, Uijeongbu, Korea.
Eue-Keun ChoiDepartment of Internal Medicine, Department of Internal Medicine, Uijeongbu Eulji University Medical Center, Gyeonggi-do, Uijeongbu, Korea.
Kwon Wook JooDepartment of Internal Medicine, Department of Internal Medicine, Uijeongbu Eulji University Medical Center, Gyeonggi-do, Uijeongbu, Korea.
Chun Soo LimDepartment of Internal Medicine, Department of Internal Medicine, Uijeongbu Eulji University Medical Center, Gyeonggi-do, Uijeongbu, Korea.
Yon Su KimDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea.
Dong Ki KimDepartment of Internal Medicine, Department of Internal Medicine, Uijeongbu Eulji University Medical Center, Gyeonggi-do, Uijeongbu, Korea. dkkim73@gmail.com.
Eulji University · KRSeoul National University Hospital · KRKeimyung University · KRSeoul National University · KRSNUH SMG-SNU Boramae Medical Center · KR

Funding

British Heart Foundation CH/1996001/9454Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

backgroundAtrial fibrillation (AF) and brain volume loss are prevalent in older individuals. We aimed to assess the causal effect of atrial fibrillation on brain volume phenotypes by Mendelian randomization (MR) analysis.

methodsThe genetic instrument for AF was constructed from a previous genome-wide association study (GWAS) meta-analysis (15,993 AF patients and 113,719 controls of European ancestry). The outcome summary statistics for head-size-normalized white or gray matter volume measured by magnetic resonance imaging were provided by a previous GWAS of 33,224 white British participants in the UK Biobank. Two-sample MR by the inverse variance-weighted method was performed, supported by pleiotropy-robust MR sensitivity analysis. The causal estimates for the effect of AF on ischemic stroke were also investigated in a dataset that included the findings from the MEGASTROKE study (34,217 stroke patients and 406,111 controls of European ancestry). The direct effects of AF on brain volume phenotypes adjusted for the mediating effect of ischemic stroke were studied by multivariable MR.

resultsA higher genetic predisposition for AF was significantly associated with lower grey matter volume [beta -0.040, standard error (SE) 0.017, P=0.017], supported by pleiotropy-robust MR sensitivity analysis. Significant causal estimates were identified for the effect of AF on ischemic stroke (beta 0.188, SE 0.026, P=1.03E-12). The total effect of AF on lower brain grey matter volume was attenuated by adjusting for the effect of ischemic stroke (direct effects, beta -0.022, SE 0.033, P=0.528), suggesting that ischemic stroke is a mediator of the identified causal pathway. The causal estimates were nonsignificant for effects on brain white matter volume as an outcome.

conclusionsThis study identified that genetic predisposition for AF is significantly associated with lower gray matter volume but not white matter volume. The results indicated that the identified total effect of AF on gray matter volume may be mediated by ischemic stroke.

Indexed as

Atrial FibrillationGray MatterWhite MatterAgedGenome-Wide Association StudyHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideRisk FactorsAtrial fibrillationBrainMendelian randomizationStroke

Identifiers

PMID34814924
PMCPMC8611907
OpenAlexW3217466394

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.