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Genome-wide association meta-analysis of 30,000 samples identifies seven novel loci for quantitative ECG traits.

TitleGenome-wide association meta-analysis of 30,000 samples identifies seven novel loci for quantitative ECG traits.
Publication TypeJournal Article
Year of Publication2019
Authorsvan Setten J, Verweij N, Mbarek H, Niemeijer MN, Trompet S, Arking DE, Brody JA, Gandin I, Grarup N, Hall LM, Hemerich D, Lyytikäinen L-P, Mei H, Müller-Nurasyid M, Prins BP, Robino A, Smith AV, Warren HR, Asselbergs FW, Boomsma DI, Caulfield MJ, Eijgelsheim M, Ford I, Hansen T, Harris TB, Heckbert SR, Hottenga J-J, Iorio A, Kors JA, Linneberg A, Macfarlane PW, Meitinger T, Nelson CP, Raitakari OT, Aldana CTSilva, Sinagra G, Sinner M, Soliman EZ, Stoll M, Uitterlinden A, van Duijn CM, Waldenberger M, Alonso A, Gasparini P, Gudnason V, Jamshidi Y, Kääb S, Kanters JK, Lehtimäki T, Munroe PB, Peters A, Samani NJ, Sotoodehnia N, Ulivi S, Wilson JG, de Geus EJC, J Jukema W, Stricker B, van der Harst P, de Bakker PIW
Secondary AuthorsIsaacs A
JournalEur J Hum Genet
Volume27
Issue6
Pagination952-962
Date Published2019 06
ISSN1476-5438
KeywordsElectrocardiography, Female, Genetic Loci, Genome-Wide Association Study, Humans, Male, Netherlands, Polymorphism, Single Nucleotide
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 

DOI10.1038/s41431-018-0295-z
Alternate JournalEur J Hum Genet
PubMed ID30679814
PubMed Central IDPMC6777533
Grant ListPG/12/38/29615 / BHF_ / British Heart Foundation / United Kingdom
U54 GM115428 / GM / NIGMS NIH HHS / United States