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Genome-wide association analysis identifies multiple loci related to resting heart rate.

TitleGenome-wide association analysis identifies multiple loci related to resting heart rate.
Publication TypeJournal Article
Year of Publication2010
AuthorsEijgelsheim M, Newton-Cheh C, Sotoodehnia N, de Bakker PIW, Müller M, Morrison AC, Smith AV, Isaacs A, Sanna S, Dörr M, Navarro P, Fuchsberger C, Nolte IM, de Geus EJC, Estrada K, Hwang S-J, Bis JC, Rückert I-M, Alonso A, Launer LJ, Hottenga JJan, Rivadeneira F, Noseworthy PA, Rice KM, Perz S, Arking DE, Spector TD, Kors JA, Aulchenko YS, Tarasov KV, Homuth G, Wild SH, Marroni F, Gieger C, Licht CM, Prineas RJ, Hofman A, Rotter JI, Hicks AA, Ernst F, Najjar SS, Wright AF, Peters A, Fox ER, Oostra BA, Kroemer HK, Couper DJ, Völzke H, Campbell H, Meitinger T, Uda M, Witteman JCM, Psaty BM, Wichmann H-E, Harris TB, Kääb S, Siscovick DS, Jamshidi Y, Uitterlinden AG, Folsom AR, Larson MG, Wilson JF, Penninx BW, Snieder H, Pramstaller PP, van Duijn CM, Lakatta EG, Felix SB, Gudnason V, Pfeufer A, Heckbert SR, Stricker B CH, Boerwinkle E
Secondary AuthorsO'Donnell CJ
JournalHum Mol Genet
Date Published2010 Oct 01
KeywordsAdult, Aged, Base Pairing, Cohort Studies, Female, Genetic Loci, Genome, Human, Genome-Wide Association Study, Heart Rate, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Rest

Higher resting heart rate is associated with increased cardiovascular disease and mortality risk. Though heritable factors play a substantial role in population variation, little is known about specific genetic determinants. This knowledge can impact clinical care by identifying novel factors that influence pathologic heart rate states, modulate heart rate through cardiac structure and function or by improving our understanding of the physiology of heart rate regulation. To identify common genetic variants associated with heart rate, we performed a meta-analysis of 15 genome-wide association studies (GWAS), including 38,991 subjects of European ancestry, estimating the association between age-, sex- and body mass-adjusted RR interval (inverse heart rate) and approximately 2.5 million markers. Results with P

Alternate JournalHum Mol Genet
PubMed ID20639392
PubMed Central IDPMC3657480
Grant ListCZB/4/710 / / Chief Scientist Office / United Kingdom
NIH2000501635 / / PHS HHS / United States
MC_U127561128 / / Medical Research Council / United Kingdom
2000501635 / / PHS HHS / United States
MC_U127592696 / / Medical Research Council / United Kingdom