Evidence map›Paper›PMID 36653681›Full record

SynthesisNature genetics2023

Cross-ancestry genome-wide analysis of atrial fibrillation unveils disease biology and enables cardioembolic risk prediction.

Kazuo Miyazawa, Kaoru Ito, Masamichi Ito, Zhaonan Zou, Masayuki Kubota, Seitaro Nomura, Hiroshi Matsunaga, Satoshi Koyama, Hirotaka Ieki, Masato Akiyama and 17 more

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Nature genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 4 pooled it
18.2field-weighted citation impact, top 1% 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

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

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  19. Genome-wide association study-identified novel genetic loci for QT interval in Taiwan: implications for population-specific arrhythmia risk.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026
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22 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

27 authors at 8 institutions in 2 countries.

Kazuo MiyazawaLaboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Kaoru ItoLaboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan. kaoru.ito@riken.jp.ORCID http://orcid.org/0000-0003-1843-773X
Masamichi ItoDepartment of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Zhaonan ZouDepartment of Drug Discovery Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.ORCID http://orcid.org/0000-0002-1075-4936
Masayuki KubotaDepartment of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Seitaro NomuraDepartment of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-2957-2016
Hiroshi MatsunagaLaboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Satoshi KoyamaLaboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Hirotaka IekiLaboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.ORCID http://orcid.org/0000-0002-6252-6134
Masato AkiyamaLaboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Yoshinao KoikeLaboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.ORCID http://orcid.org/0000-0002-5431-5572
Ryo KurosawaLaboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Hiroki YoshidaLaboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Kouichi OzakiLaboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.ORCID http://orcid.org/0000-0003-0028-1570
Yoshihiro OnouchiLaboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.ORCID http://orcid.org/0000-0003-1267-5913
BioBank Japan Project
Atsushi TakahashiLaboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Koichi MatsudaDepartment of Computational Biology and Medical Science, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.
Yoshinori MurakamiDivision of Molecular Pathology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-2826-4396
Hiroyuki AburataniGenome Science & Medicine Laboratory, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0003-0438-1544
Michiaki KuboRIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Yukihide MomozawaLaboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.ORCID http://orcid.org/0000-0001-5638-3504
Chikashi TeraoLaboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.ORCID http://orcid.org/0000-0002-6452-4095
Shinya OkiDepartment of Drug Discovery Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.ORCID http://orcid.org/0000-0002-4767-3259
Hiroshi AkazawaDepartment of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Yoichiro KamataniLaboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan. kamatani.yoichiro@edu.k.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0001-8748-5597
Issei KomuroDepartment of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. komuro-tky@umin.ac.jp.ORCID http://orcid.org/0000-0002-0714-7182
RIKEN Center for Integrative Medical Sciences · JPThe University of Tokyo · JPKyoto University · JPBroad Institute · USChiba University · JPHokkaido University · JPKyushu University · JPNational Cerebral and Cardiovascular Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atrial fibrillation (AF) is a common cardiac arrhythmia resulting in increased risk of stroke. Despite highly heritable etiology, our understanding of the genetic architecture of AF remains incomplete. Here we performed a genome-wide association study in the Japanese population comprising 9,826 cases among 150,272 individuals and identified East Asian-specific rare variants associated with AF. A cross-ancestry meta-analysis of >1 million individuals, including 77,690 cases, identified 35 new susceptibility loci. Transcriptome-wide association analysis identified IL6R as a putative causal gene, suggesting the involvement of immune responses. Integrative analysis with ChIP-seq data and functional assessment using human induced pluripotent stem cell-derived cardiomyocytes demonstrated ERRg as having a key role in the transcriptional regulation of AF-associated genes. A polygenic risk score derived from the cross-ancestry meta-analysis predicted increased risks of cardiovascular and stroke mortalities and segregated individuals with cardioembolic stroke in undiagnosed AF patients. Our results provide new biological and clinical insights into AF genetics and suggest their potential for clinical applications.

Indexed as

Atrial FibrillationInduced Pluripotent Stem CellsStrokeBiologyGenetic Predisposition to DiseaseGenome, HumanGenome-Wide Association StudyHumansPolymorphism, Single Nucleotide

Identifiers

PMID36653681
PMCPMC9925380
OpenAlexW4317366348

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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.