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; ... Isaacs, A; + view all 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; - view fewer (2019) Genome-wide association meta-analysis of 30,000 samples identifies seven novel loci for quantitative ECG traits. European Journal of Human Genetics 10.1038/s41431-018-0295-z . (In press). Green open access

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