Genome-wide association meta-analysis of 30,000 samples identifies seven novel loci for quantitative ECG traits.
van 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., Silva Aldana CT., 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., Jukema JW., Stricker B., van der Harst P., de Bakker PIW., Isaacs A.
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