Genome-wide association analysis identifies multiple loci related to resting heart rate
Author(s) -
M. Eijgelsheim,
C. Newton-Cheh,
N. Sotoodehnia,
Paul I. W. de Bakker,
Martina MüllerNurasyid,
Alanna C. Morrison,
Albert V. Smith,
A. Isaacs,
S. Sanna,
Marcus Dörr,
P. Navarro,
C. Fuchsberger,
I. M. Nolte,
Eco J. C. de Geus,
K. Estrada,
S.-J. Hwang,
Joshua C. Bis,
I.-M. Ruckert,
A. Alonso,
L. J. Launer,
J. J. Hottenga,
Fernando Rivadeneira,
Peter A. Noseworthy,
K. M. Rice,
S. Perz,
D. E. Arking,
T. D. Spector,
J. A. Kors,
Yurii S. Aulchenko,
K. V. Tarasov,
G. Homuth,
S. H. Wild
Publication year - 2010
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/tyrd-bs04
Subject(s) - resting heart rate , genome wide association study , genetics , biology , computational biology , heart rate , gene , single nucleotide polymorphism , genotype , endocrinology , blood pressure
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