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Article details
Title
Fine mapping of QT interval regions in global populations refines previously identified QT interval loci and identifies signals unique to African and Hispanic descent populations
Published in
Heart Rhythm, December 2016
DOI 10.1016/j.hrthm.2016.12.021
Pubmed ID
Authors
Abstract

The electrocardiographically measured QT interval (QT) is heritable and its prolongation is an established risk factor for several cardiovascular DISEASES: Yet, most QT genetic studies have been performed in European ancestral populations, possibly reducing their global relevance. To leverage diversity and improve biologic insight, we fine-mapped 16 of the 35 previously identified QT loci (46%) in populations of African American (n=12,410) and Hispanic/Latino (n=14,837) ancestry. The 16 fine-mapped QT loci included on the Illumina Metabochip represented 21 independent signals, of which 16 (76%) were significantly (P-value≤9.1x10(-5)) associated with QT after inverse-variance weighted trans-ethnic meta-analysis of racial/ethnic-specific multiple linear regression analyses adjusted for heart rate and clinical covariates. Through sequential conditional analysis we also identified three trans-ethnic novel SNPs at ATP1B1, SCN5A-SCN10A, and KCNQ1 and three Hispanic/Latino-specific novel SNPs at NOS1AP and SCN5A-SCN10A (two novel SNPs) with evidence of associations with QT independent of previous identified GWAS lead SNPs. Linkage disequilibrium patterns helped to narrow the region likely to contain the functional variants at several loci, including NOS1AP, USP50-TRPM7, and PRKCA, although intervals surrounding SLC35F1-PLN and CNOT1 remained broad in size (>100 kb). Finally, bioinformatics-based functional characterization suggested a regulatory function in cardiac tissues for the majority of independent signals that generalized and the novel SNPs. Our findings suggest that a majority of identified SNPs implicate gene regulatory dysfunction in QT prolongation, that the same loci influence variation in QT across global populations, and that additional, novel, population-specific QT signals exist.

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X Demographics

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 6 16%
Student > Ph. D. Student 4 11%
Student > Bachelor 3 8%
Student > Doctoral Student 2 5%
Student > Master 2 5%
Other 8 22%
Unknown 12 32%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 8 22%
Biochemistry, Genetics and Molecular Biology 4 11%
Nursing and Health Professions 4 11%
Agricultural and Biological Sciences 4 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 3 8%
Unknown 13 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 April 2017.
All research outputs
#17,286,379
of 25,374,917 outputs
Outputs from Heart Rhythm
#3,477
of 4,509 outputs
Outputs of similar age
#266,604
of 420,886 outputs
Outputs of similar age from Heart Rhythm
#62
of 89 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,509 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 18th percentile – i.e., 18% 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 420,886 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.