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Validation study of candidate single nucleotide polymorphisms associated with left ventricular hypertrophy in the Korean population

Overview of attention for article published in BMC Medical Genomics, March 2015
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Title
Validation study of candidate single nucleotide polymorphisms associated with left ventricular hypertrophy in the Korean population
Published in
BMC Medical Genomics, March 2015
DOI 10.1186/s12881-015-0158-1
Pubmed ID
Authors

Jin-Kyu Park, Mi Kyung Kim, Bo Youl Choi, Yusun Jung, Kyuyoung Song, Yu Mi Kim, Jinho Shin

Abstract

Left ventricular hypertrophy (LVH) is a valid predictor for cardiovascular mortality and morbidity regardless of age, gender, and race. The HyperGEN study conducted a genome-wide association study and identified twelve single nucleotide polymorphisms (SNPs) associated with LVH. The aim of this study was to validate these candidate SNPs in the Korean population. Among 1637 individuals from the Korean Multi-Rural Communities Cohort Study (MRCohort) of the Korean Genome Epidemiology Study (KoGES), we carried out a linear regression analysis with left ventricular mass index (LVMI) and a logistic regression analysis for LVH status. The rs4129218 on chromosome 12 tended to be associated with LVM/body surface area (adjusted β = -0.023; p = 0.036) and LVM/height(2.7) (adjusted β = -0.027; p = 0.016), and was marginally protective against LVH after adjustment for age, sex, body mass index, serum creatinine, systolic blood pressure, heart rate and antihypertensive medication (adjusted odds ratio = 0.766 and 0.731; p = 0.027 and 0.007 according to indexation by BSA and height(2.7), respectively). In the Korean population, the minor allele of rs4129218 had borderline association with lower LVM. This study suggests that rs4129218 on chromosome 12 showed consistent tendency of possibly related loci for LVH independent of ethnic background.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 5%
Unknown 19 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 30%
Researcher 5 25%
Student > Master 2 10%
Professor 2 10%
Other 1 5%
Other 2 10%
Unknown 2 10%
Readers by discipline Count As %
Medicine and Dentistry 8 40%
Biochemistry, Genetics and Molecular Biology 3 15%
Nursing and Health Professions 2 10%
Computer Science 2 10%
Energy 1 5%
Other 1 5%
Unknown 3 15%
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 15 March 2015.
All research outputs
#17,283,763
of 25,371,288 outputs
Outputs from BMC Medical Genomics
#1,315
of 2,444 outputs
Outputs of similar age
#168,625
of 277,375 outputs
Outputs of similar age from BMC Medical Genomics
#22
of 32 outputs
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We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.