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ExomeChip-Wide Analysis of 95 626 Individuals Identifies 10 Novel Loci Associated With QT and JT Intervals

Overview of attention for article published in Circulation: Genomic and Precision Medicine, January 2018
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Title
ExomeChip-Wide Analysis of 95 626 Individuals Identifies 10 Novel Loci Associated With QT and JT Intervals
Published in
Circulation: Genomic and Precision Medicine, January 2018
DOI 10.1161/circgen.117.001758
Pubmed ID
Authors

Nathan A. Bihlmeyer, Jennifer A. Brody, Albert Vernon Smith, Helen R. Warren, Honghuang Lin, Aaron Isaacs, Ching-Ti Liu, Jonathan Marten, Farid Radmanesh, Leanne M. Hall, Niels Grarup, Hao Mei, Martina Müller-Nurasyid, Jennifer E. Huffman, Niek Verweij, Xiuqing Guo, Jie Yao, Ruifang Li-Gao, Marten van den Berg, Stefan Weiss, Bram P. Prins, Jessica van Setten, Jeffrey Haessler, Leo-Pekka Lyytikäinen, Man Li, Alvaro Alonso, Elsayed Z. Soliman, Joshua C. Bis, Tom Austin, Yii-Der Ida Chen, Bruce M. Psaty, Tamara B. Harrris, Lenore J. Launer, Sandosh Padmanabhan, Anna Dominiczak, Paul L. Huang, Zhijun Xie, Patrick T. Ellinor, Jan A. Kors, Archie Campbell, Alison D. Murray, Christopher P. Nelson, Martin D. Tobin, Jette Bork-Jensen, Torben Hansen, Oluf Pedersen, Allan Linneberg, Moritz F. Sinner, Annette Peters, Melanie Waldenberger, Thomas Meitinger, Siegfried Perz, Ivana Kolcic, Igor Rudan, Rudolf A. de Boer, Peter van der Meer, Henry J. Lin, Kent D. Taylor, Renée de Mutsert, Stella Trompet, J. Wouter Jukema, Arie C. Maan, Bruno H.C. Stricker, Fernando Rivadeneira, André Uitterlinden, Uwe Völker, Georg Homuth, Henry Völzke, Stephan B. Felix, Massimo Mangino, Timothy D. Spector, Michiel L. Bots, Marco Perez, Olli T. Raitakari, Mika Kähönen, Nina Mononen, Vilmundur Gudnason, Patricia B. Munroe, Steven A. Lubitz, Cornelia M. van Duijn, Christopher H. Newton-Cheh, Caroline Hayward, Jonathan Rosand, Nilesh J. Samani, Jørgen K. Kanters, James G. Wilson, Stefan Kääb, Ozren Polasek, Pim van der Harst, Susan R. Heckbert, Jerome I. Rotter, Dennis O. Mook-Kanamori, Mark Eijgelsheim, Marcus Dörr, Yalda Jamshidi, Folkert W. Asselbergs, Charles Kooperberg, Terho Lehtimäki, Dan E. Arking, Nona Sotoodehnia

Abstract

QT interval, measured through a standard ECG, captures the time it takes for the cardiac ventricles to depolarize and repolarize. JT interval is the component of the QT interval that reflects ventricular repolarization alone. Prolonged QT interval has been linked to higher risk of sudden cardiac arrest. We performed an ExomeChip-wide analysis for both QT and JT intervals, including 209 449 variants, both common and rare, in 17 341 genes from the Illumina Infinium HumanExome BeadChip. We identified 10 loci that modulate QT and JT interval duration that have not been previously reported in the literature using single-variant statistical models in a meta-analysis of 95 626 individuals from 23 cohorts (comprised 83 884 European ancestry individuals, 9610 blacks, 1382 Hispanics, and 750 Asians). This brings the total number of ventricular repolarization associated loci to 45. In addition, our approach of using coding variants has highlighted the role of 17 specific genes for involvement in ventricular repolarization, 7 of which are in novel loci. Our analyses show a role for myocyte internal structure and interconnections in modulating QT interval duration, adding to previous known roles of potassium, sodium, and calcium ion regulation, as well as autonomic control. We anticipate that these discoveries will open new paths to the goal of making novel remedies for the prevention of lethal ventricular arrhythmias and sudden cardiac arrest.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Other 11 14%
Student > Bachelor 11 14%
Researcher 6 7%
Student > Ph. D. Student 5 6%
Professor > Associate Professor 5 6%
Other 14 17%
Unknown 29 36%
Readers by discipline Count As %
Medicine and Dentistry 21 26%
Biochemistry, Genetics and Molecular Biology 7 9%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Computer Science 3 4%
Agricultural and Biological Sciences 2 2%
Other 10 12%
Unknown 35 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 September 2018.
All research outputs
#14,541,990
of 25,382,440 outputs
Outputs from Circulation: Genomic and Precision Medicine
#691
of 1,062 outputs
Outputs of similar age
#222,144
of 450,954 outputs
Outputs of similar age from Circulation: Genomic and Precision Medicine
#21
of 46 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,062 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 450,954 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.