Genome-wide association meta-analysis of 30,000 samples identifies seven novel loci for quantitative ECG traits.
Eur J Hum Genet
; 27(6): 952-962, 2019 06.
Article
de En
| MEDLINE
| ID: mdl-30679814
ABSTRACT
Genome-wide association studies (GWAS) of quantitative electrocardiographic (ECG) traits in large consortia have identified more than 130 loci associated with QT interval, QRS duration, PR interval, and heart rate (RR interval). In the current study, we meta-analyzed genome-wide association results from 30,000 mostly Dutch samples on four ECG traits PR interval, QRS duration, QT interval, and RR interval. SNP genotype data was imputed using the Genome of the Netherlands reference panel encompassing 19 million SNPs, including millions of rare SNPs (minor allele frequency < 5%). In addition to many known loci, we identified seven novel locus-trait associations KCND3, NR3C1, and PLN for PR interval, KCNE1, SGIP1, and NFKB1 for QT interval, and ATP2A2 for QRS duration, of which six were successfully replicated. At these seven loci, we performed conditional analyses and annotated significant SNPs (in exons and regulatory regions), demonstrating involvement of cardiac-related pathways and regulation of nearby genes.
Texte intégral:
1
Collection:
01-internacional
Base de données:
MEDLINE
Sujet principal:
Polymorphisme de nucléotide simple
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Électrocardiographie
/
Locus génétiques
Type d'étude:
Clinical_trials
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Risk_factors_studies
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Systematic_reviews
Limites:
Female
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Humans
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Male
Pays/Région comme sujet:
Europa
Langue:
En
Journal:
Eur J Hum Genet
Sujet du journal:
GENETICA MEDICA
Année:
2019
Type de document:
Article
Pays d'affiliation:
Pays-Bas