Circulation Genomic and Precision MedicineGenetic & Genomic MedicinePeer-reviewed journal article
Genome-wide association meta-analysis supports genes involved in valve and cardiac development to associate with mitral valve prolapse
Mengyao YuiD, Sergiy KyryachenkoiD, Stéphanie DebetteiD, Philippe AmouyeliD, Jean‐Jacques SchottiD, Thierry Le TourneauiD, Christian Dina CiD, Russell A. NorrisiD, Albert Alain HagègeiD, Xavier Jeunemaı̂treiD, Nabila Bouatia‐NajiiD
Abstract
ObjectiveMitral valve prolapse (MVP) is a common cardiac valve disease, which affects 1 in 40 in the general population. Previous GWAS have identified six risk loci for MVP. But these loci explained only partially the genetic risk for MVP. We aim to identify additional risk loci for MVP by adding a dataset from the UK Biobank. Approaches and ResultsWe re-analyzed 1,007/1,469 cases and 479/862 controls from the MVP-France study and the MVP-Nantes study, respectively. We re-imputed genotypes using HRC and TOPMed, and found this latter to perform better in terms of accuracy in the lower ranges of minor allele frequency (MAF) below 0.1. We then incorporated 434 MVP cases and 4,527 controls from the UKBiobank and conducted a meta-analysis GWAS including [~]2000 MVP cases and over 6,800 controls for [~]8 million genotyped or imputed common SNPs (MAF>0.01). We replicated the association on chr2 and now provide a finer association map near TNS1. We identified three suggestive risk loci, all driven by common variants on Chr1 (SYT2), Chr8 (MSRA), and Chr19 (FBXO46). Gene-based association using MAGMA revealed 15 risk genes for MVP including GLIS1, TGFB2, ID2, TBX5, MSRA, and DMPK. Extensive functional annotation showed that genes associated with MVP are highly expressed in cardiovascular tissues, especially heart, and are involved in cardiac development and potentially aging. ConclusionsWe report an updated meta-analysis GWAS for MVP using dense imputation coverage and an improved case-control sample. We describe several loci and genes with MVP spanning biological mechanisms highly relevant to MVP, especially during valve and heart development. TOC category - basic and population studies TOC subcategory - Arteriosclerosis, Thrombosis, and Vascular Biology HighlightsO_LIProvide high coverage meta-analysis of GWAS based on TOPMed imputation involving [~]8 million common variants in [~]2000 MVP patients and [~]6800 controls. C_LIO_LILow frequency variant contributed little to the association of the genes mentioned, where the associations were driven by common variants C_LIO_LISeveral association loci involve genes related to cardiac development and potentially aging. C_LI
- organism: human
- assay: GWAS summary statistics
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 19
- FWCI
- 1.41
- Field percentile
- top 19%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Whole-genome sequencing in mitral valve prolapse: an exploratory study on genes associated with mitral valve prolapse and cardiac arrhythmias
Nikhil Arora, Julie Van Den Bergh, … Kristina Hermann Haugaa·medRxiv·Sep 7, 2026
- Characterization of genomic regulation profiles in human mitral valve whole tissue to annotate genetic risk loci for mitral valve prolapse
Sergiy Kyryachenko, Adrien B. Georges, … Nabila Bouatia‐Naji·medRxiv·Jun 4, 2020
- GWAS-driven Pathway Analyses and Functional Validation Suggest GLIS1 as a Susceptibility Gene for Mitral Valve Prolapse
Mengyao Yu, Adrien B. Georges, … Nabila Bouatia‐Naji·Structural HeartPeer-reviewed·Jan 1, 2019
- Advancing our understanding of genetic risk factors and potential personalized strategies in pelvic organ prolapse: largest GWAS to date reveals 19 novel associated loci
Natàlia Pujol‐Gualdo, Kristi Läll, … Triin Laisk·Nature CommunicationsPeer-reviewed·Jun 23, 2022
- Genome-wide analysis yields new loci associating with aortic valve stenosis
Anna Helgadóttir, Guðmar Þorleifsson, … Kāri Stefánsson·Nature CommunicationsPeer-reviewed·Mar 1, 2018
- Multi-ancestry GWAS of the electrocardiographic PR interval identifies 210 loci underlying cardiac conduction
Ιωάννα Ντάλλα, Lu-Chen C Weng, … Dan M. Roden·bioRxiv·Jul 30, 2019