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Genetic insights into resting heart rate and its role in cardiovascular disease.

Authors :
van de Vegte, Yordi
van de Vegte, Yordi
Eppinga, Ruben
van der Ende, M
Hagemeijer, Yanick
Mahendran, Yuvaraj
Salfati, Elias
Smith, Albert
Tan, Vanessa
Arking, Dan
Ntalla, Ioanna
Appel, Emil
Schurmann, Claudia
Brody, Jennifer
Rueedi, Rico
Polasek, Ozren
Sveinbjornsson, Gardar
Lecoeur, Cecile
Ladenvall, Claes
Zhao, Jing
Isaacs, Aaron
Wang, Lihua
Luan, Jianan
Hwang, Shih-Jen
Mononen, Nina
Auro, Kirsi
Jackson, Anne
Bielak, Lawrence
Zeng, Linyao
Shah, Nabi
Nethander, Maria
Campbell, Archie
Rankinen, Tuomo
Pechlivanis, Sonali
Qi, Lu
Zhao, Wei
Rizzi, Federica
Tanaka, Toshiko
Robino, Antonietta
Cocca, Massimiliano
Lange, Leslie
Müller-Nurasyid, Martina
Roselli, Carolina
Zhang, Weihua
Kleber, Marcus
Guo, Xiuqing
Lin, Henry
Pavani, Francesca
Galesloot, Tessel
Noordam, Raymond
Milaneschi, Yuri
Schraut, Katharina
den Hoed, Marcel
Degenhardt, Frauke
Trompet, Stella
van den Berg, Marten
Pistis, Giorgio
Tham, Yih-Chung
Weiss, Stefan
Sim, Xueling
Li, Hengtong
van der Most, Peter
Nolte, Ilja
Lyytikäinen, Leo-Pekka
Said, M
Witte, Daniel
Iribarren, Carlos
Launer, Lenore
Ring, Susan
de Vries, Paul
Sever, Peter
Linneberg, Allan
Bottinger, Erwin
Padmanabhan, Sandosh
Psaty, Bruce
Sotoodehnia, Nona
Kolcic, Ivana
Arnar, David
Gudbjartsson, Daniel
Holm, Hilma
Balkau, Beverley
Silva, Claudia
Newton-Cheh, Christopher
Nikus, Kjell
Salo, Perttu
Mohlke, Karen
Peyser, Patricia
Schunkert, Heribert
Lorentzon, Mattias
Lahti, Jari
Rao, Dabeeru
Cornelis, Marilyn
Faul, Jessica
Smith, Jennifer
Stolarz-Skrzypek, Katarzyna
Bandinelli, Stefania
Concas, Maria
Sinagra, Gianfranco
Meitinger, Thomas
Waldenberger, Melanie
Sinner, Moritz
van de Vegte, Yordi
van de Vegte, Yordi
Eppinga, Ruben
van der Ende, M
Hagemeijer, Yanick
Mahendran, Yuvaraj
Salfati, Elias
Smith, Albert
Tan, Vanessa
Arking, Dan
Ntalla, Ioanna
Appel, Emil
Schurmann, Claudia
Brody, Jennifer
Rueedi, Rico
Polasek, Ozren
Sveinbjornsson, Gardar
Lecoeur, Cecile
Ladenvall, Claes
Zhao, Jing
Isaacs, Aaron
Wang, Lihua
Luan, Jianan
Hwang, Shih-Jen
Mononen, Nina
Auro, Kirsi
Jackson, Anne
Bielak, Lawrence
Zeng, Linyao
Shah, Nabi
Nethander, Maria
Campbell, Archie
Rankinen, Tuomo
Pechlivanis, Sonali
Qi, Lu
Zhao, Wei
Rizzi, Federica
Tanaka, Toshiko
Robino, Antonietta
Cocca, Massimiliano
Lange, Leslie
Müller-Nurasyid, Martina
Roselli, Carolina
Zhang, Weihua
Kleber, Marcus
Guo, Xiuqing
Lin, Henry
Pavani, Francesca
Galesloot, Tessel
Noordam, Raymond
Milaneschi, Yuri
Schraut, Katharina
den Hoed, Marcel
Degenhardt, Frauke
Trompet, Stella
van den Berg, Marten
Pistis, Giorgio
Tham, Yih-Chung
Weiss, Stefan
Sim, Xueling
Li, Hengtong
van der Most, Peter
Nolte, Ilja
Lyytikäinen, Leo-Pekka
Said, M
Witte, Daniel
Iribarren, Carlos
Launer, Lenore
Ring, Susan
de Vries, Paul
Sever, Peter
Linneberg, Allan
Bottinger, Erwin
Padmanabhan, Sandosh
Psaty, Bruce
Sotoodehnia, Nona
Kolcic, Ivana
Arnar, David
Gudbjartsson, Daniel
Holm, Hilma
Balkau, Beverley
Silva, Claudia
Newton-Cheh, Christopher
Nikus, Kjell
Salo, Perttu
Mohlke, Karen
Peyser, Patricia
Schunkert, Heribert
Lorentzon, Mattias
Lahti, Jari
Rao, Dabeeru
Cornelis, Marilyn
Faul, Jessica
Smith, Jennifer
Stolarz-Skrzypek, Katarzyna
Bandinelli, Stefania
Concas, Maria
Sinagra, Gianfranco
Meitinger, Thomas
Waldenberger, Melanie
Sinner, Moritz
Source :
Nature Communications; vol 14, iss 1
Publication Year :
2023

Abstract

Resting heart rate is associated with cardiovascular diseases and mortality in observational and Mendelian randomization studies. The aims of this study are to extend the number of resting heart rate associated genetic variants and to obtain further insights in resting heart rate biology and its clinical consequences. A genome-wide meta-analysis of 100 studies in up to 835,465 individuals reveals 493 independent genetic variants in 352 loci, including 68 genetic variants outside previously identified resting heart rate associated loci. We prioritize 670 genes and in silico annotations point to their enrichment in cardiomyocytes and provide insights in their ECG signature. Two-sample Mendelian randomization analyses indicate that higher genetically predicted resting heart rate increases risk of dilated cardiomyopathy, but decreases risk of developing atrial fibrillation, ischemic stroke, and cardio-embolic stroke. We do not find evidence for a linear or non-linear genetic association between resting heart rate and all-cause mortality in contrast to our previous Mendelian randomization study. Systematic alteration of key differences between the current and previous Mendelian randomization study indicates that the most likely cause of the discrepancy between these studies arises from false positive findings in previous one-sample MR analyses caused by weak-instrument bias at lower P-value thresholds. The results extend our understanding of resting heart rate biology and give additional insights in its role in cardiovascular disease development.

Details

Database :
OAIster
Journal :
Nature Communications; vol 14, iss 1
Notes :
application/pdf, Nature Communications vol 14, iss 1
Publication Type :
Electronic Resource
Accession number :
edsoai.on1401037172
Document Type :
Electronic Resource