Genome-wide association studies and resting heart rate

Research output: Contribution to journal › Journal article › Research › peer-review

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Genome-wide association studies and resting heart rate. / Oskari Kilpeläinen, Tuomas.

In: Journal of Electrocardiology, Vol. 49, No. 6, 2016, p. 860-863.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Oskari Kilpeläinen, T 2016, 'Genome-wide association studies and resting heart rate', Journal of Electrocardiology, vol. 49, no. 6, pp. 860-863. https://doi.org/10.1016/j.jelectrocard.2016.07.022

APA

Oskari Kilpeläinen, T. (2016). Genome-wide association studies and resting heart rate. Journal of Electrocardiology, 49(6), 860-863. https://doi.org/10.1016/j.jelectrocard.2016.07.022

Vancouver

Oskari Kilpeläinen T. Genome-wide association studies and resting heart rate. Journal of Electrocardiology. 2016;49(6):860-863. https://doi.org/10.1016/j.jelectrocard.2016.07.022

Author

Oskari Kilpeläinen, Tuomas. / Genome-wide association studies and resting heart rate. In: Journal of Electrocardiology. 2016 ; Vol. 49, No. 6. pp. 860-863.

Bibtex

@article{d37d355925374eee9f133b4ba7aa365a,
title = "Genome-wide association studies and resting heart rate",
abstract = "Genome-wide association studies (GWASs) have revolutionized the search for genetic variants regulating resting heart rate. In the last 10 years, GWASs have led to the identification of at least 21 novel heart rate loci. These discoveries have provided valuable insights into the mechanisms and pathways that regulate heart rate and link heart rate to cardiovascular morbidity and mortality. GWASs capture majority of genetic variation in a population sample by utilizing high-throughput genotyping chips measuring genotypes for up to several millions of SNPs across the genome in thousands of individuals. This allows the identification of the strongest heart rate associated signals at genome-wide level. While GWASs provide robust statistical evidence of the association of a given genetic locus with heart rate, they are only the starting point for detailed follow-up studies to locate the causal variants and genes and gain further insights into the biological mechanisms underlying the observed associations.",
author = "{Oskari Kilpel{\"a}inen}, Tuomas",
year = "2016",
doi = "10.1016/j.jelectrocard.2016.07.022",
language = "English",
volume = "49",
pages = "860--863",
journal = "Journal of Electrocardiology",
issn = "0022-0736",
publisher = "Churchill Livingstone",
number = "6",

}

RIS

TY - JOUR

T1 - Genome-wide association studies and resting heart rate

AU - Oskari Kilpeläinen, Tuomas

PY - 2016

Y1 - 2016

N2 - Genome-wide association studies (GWASs) have revolutionized the search for genetic variants regulating resting heart rate. In the last 10 years, GWASs have led to the identification of at least 21 novel heart rate loci. These discoveries have provided valuable insights into the mechanisms and pathways that regulate heart rate and link heart rate to cardiovascular morbidity and mortality. GWASs capture majority of genetic variation in a population sample by utilizing high-throughput genotyping chips measuring genotypes for up to several millions of SNPs across the genome in thousands of individuals. This allows the identification of the strongest heart rate associated signals at genome-wide level. While GWASs provide robust statistical evidence of the association of a given genetic locus with heart rate, they are only the starting point for detailed follow-up studies to locate the causal variants and genes and gain further insights into the biological mechanisms underlying the observed associations.

AB - Genome-wide association studies (GWASs) have revolutionized the search for genetic variants regulating resting heart rate. In the last 10 years, GWASs have led to the identification of at least 21 novel heart rate loci. These discoveries have provided valuable insights into the mechanisms and pathways that regulate heart rate and link heart rate to cardiovascular morbidity and mortality. GWASs capture majority of genetic variation in a population sample by utilizing high-throughput genotyping chips measuring genotypes for up to several millions of SNPs across the genome in thousands of individuals. This allows the identification of the strongest heart rate associated signals at genome-wide level. While GWASs provide robust statistical evidence of the association of a given genetic locus with heart rate, they are only the starting point for detailed follow-up studies to locate the causal variants and genes and gain further insights into the biological mechanisms underlying the observed associations.

U2 - 10.1016/j.jelectrocard.2016.07.022

DO - 10.1016/j.jelectrocard.2016.07.022

M3 - Journal article

C2 - 27519143

VL - 49

SP - 860

EP - 863

JO - Journal of Electrocardiology

JF - Journal of Electrocardiology

SN - 0022-0736

IS - 6

ER -

ID: 164787869