Abstract 4362480: East Asian-specific genome-wide association study and multi-ancestry meta-analysis reveal the genetic foundations for valvular heart disease and its subtypes

Background: The genetic architectures of valvular heart disease (VHD) and its subtypes have yet to be fully elucidated. Aims: We aimed to clarify the genetic architectures of VHD and its subtypes and to gain insights into VHD biology. Methods: We performed deep-phenotyping by analyzing detailed medical records and echocardiographic data from BioBank Japan. We classified VHD subtypes from stenosis to regurgitation and other abnormalities in the mitral, aortic, tricuspid, and pulmonary valves and the septum, followed by conducting East Asian-specific genome-wide association studies (GWASs). Then, we also performed GWASs in the UK Biobank, applying deep-phenotyping using ICD-10 codes. In addition, we utilized other available GWAS summary statistics, mainly from FinnGen and VA’s Million Veteran Program. Finally, we conducted cross-ancestry meta-analyses. Results: An East Asian-specific GWAS for VHD with 10,358 cases and 128,008 controls identified five genome-wide significant loci, while GWASs for VHD subtypes identified an additional 14 loci. Of the identified 19 loci, 14 had not been previously reported in GWASs for any valve diseases, whereas 12 exhibited very low allele frequencies (<0.001) in other ancestries. Moreover, cross-ancestry meta-analysis for VHD, which involves 93,584 cases and 1,619,230 controls, revealed 89 loci. Then, meta-analyses for VHD subtypes identified an additional 68 loci, totaling 157 loci, including 83 novel loci. Valve regurgitation and stenosis shared only a few loci, suggesting different etiologies. Interestingly, all regurgitation subtypes shared a locus prioritized for PITX2 with relatively high absolute betas (> 0.1), indicating a pivotal role of PITX2 . Pathway analysis revealed that genes associated with VHD were enriched for heart morphogenesis. Additionally, VHD exhibited a significant genetic correlation with atrial fibrillation (AF), congestive heart failure (CHF), and blood pressure (BP), while Mendelian randomization analysis indicated a causal role of BP in VHD. Furthermore, the polygenic risk score (PRS) for VHD stratified the risk of cardiovascular mortality in the other controls in BBJ. The combination of PRS for CHF or AF with that for VHD outperformed original PRS in the prediction of CHF or AF, suggesting VHD as a genetically independent factor. Conclusion: We conducted the first systematic GWASs for VHD and its subtypes, which elucidated the distinct genetic architectures of different VHD subtypes.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4362480
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4362480: East Asian-specific genome-wide association study and multi-ancestry meta-analysis reveal the genetic foundations for valvular heart disease and its subtypes

Satoshi Koyama, Nobuyuki Enzan, Ryosuke Osako, Fumie Ota et al.
Circulation
Genetic Associations and Epidemiology
article

Abstract 4362480: East Asian-specific genome-wide association study and multi-ancestry meta-analysis reveal the genetic foundations for valvular heart disease and its subtypes

Satoshi Koyama, Nobuyuki Enzan, Ryosuke Osako, Fumie Ota, Hiroki Yoshida, Kazuo Miyazawa, Ryo Kurosawa, Hirotaka Ieki, Issei Komuro, Masashi Fukuyama, Kaoru Ito
article en

Abstract

Background: The genetic architectures of valvular heart disease (VHD) and its subtypes have yet to be fully elucidated. Aims: We aimed to clarify the genetic architectures of VHD and its subtypes and to gain insights into VHD biology. Methods: We performed deep-phenotyping by analyzing detailed medical records and echocardiographic data from BioBank Japan. We classified VHD subtypes from stenosis to regurgitation and other abnormalities in the mitral, aortic, tricuspid, and pulmonary valves and the septum, followed by conducting East Asian-specific genome-wide association studies (GWASs). Then, we also performed GWASs in the UK Biobank, applying deep-phenotyping using ICD-10 codes. In addition, we utilized other available GWAS summary statistics, mainly from FinnGen and VA’s Million Veteran Program. Finally, we conducted cross-ancestry meta-analyses. Results: An East Asian-specific GWAS for VHD with 10,358 cases and 128,008 controls identified five genome-wide significant loci, while GWASs for VHD subtypes identified an additional 14 loci. Of the identified 19 loci, 14 had not been previously reported in GWASs for any valve diseases, whereas 12 exhibited very low allele frequencies (<0.001) in other ancestries. Moreover, cross-ancestry meta-analysis for VHD, which involves 93,584 cases and 1,619,230 controls, revealed 89 loci. Then, meta-analyses for VHD subtypes identified an additional 68 loci, totaling 157 loci, including 83 novel loci. Valve regurgitation and stenosis shared only a few loci, suggesting different etiologies. Interestingly, all regurgitation subtypes shared a locus prioritized for PITX2 with relatively high absolute betas (> 0.1), indicating a pivotal role of PITX2 . Pathway analysis revealed that genes associated with VHD were enriched for heart morphogenesis. Additionally, VHD exhibited a significant genetic correlation with atrial fibrillation (AF), congestive heart failure (CHF), and blood pressure (BP), while Mendelian randomization analysis indicated a causal role of BP in VHD. Furthermore, the polygenic risk score (PRS) for VHD stratified the risk of cardiovascular mortality in the other controls in BBJ. The combination of PRS for CHF or AF with that for VHD outperformed original PRS in the prediction of CHF or AF, suggesting VHD as a genetically independent factor. Conclusion: We conducted the first systematic GWASs for VHD and its subtypes, which elucidated the distinct genetic architectures of different VHD subtypes.

CirculationVol. 152(Suppl_3)
Broad Institute (US), RIKEN Center for Integrative Medical Sciences (JP), The University of Tokyo (JP), Stanford University (US)
Openalex Percentile: Top 66%
Genetic Associations and Epidemiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.