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Genome-wide association meta-analysis of 30,000 samples identifies seven novel loci for quantitative ECG traits
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van Setten, Jessica
Verweij, Niek
Mbarek, Hamdi
Niemeijer, Maartje N.
Trompet, Stella
Arking, Dan E.
Brody, Jennifer A.
Gandin, Ilaria
Grarup, Niels
Hall, Leanne M.
Fecha
2019
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Nature Publishing Group
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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 less than 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. © 2019, The Author(s).
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Keywords
Allele , Article , Cohort analysis , Computer model , Dutchman , Electrocardiogram , Exon , Follow up , Gene frequency , Gene locus , Gene mapping , Genome , Genome-wide association study , Genotype , Heart rate , Human , Major clinical study , Meta analysis , Netherlands , Priority journal , Qrs interval , Qt interval , Quantitative trait , Rr interval , Sample , Single nucleotide polymorphism
