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New Variants Including ARG1 Polymorphisms Associated with C-Reactive Protein Levels Identified by Genome-Wide Association and Pathway Analysis

Overview of attention for article published in PLOS ONE, April 2014
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Title
New Variants Including ARG1 Polymorphisms Associated with C-Reactive Protein Levels Identified by Genome-Wide Association and Pathway Analysis
Published in
PLOS ONE, April 2014
DOI 10.1371/journal.pone.0095866
Pubmed ID
Authors

Nadimuthu Vinayagamoorthy, Hae-Jin Hu, Seon-Hee Yim, Seung-Hyun Jung, Jaeseong Jo, Sun Ha Jee, Yeun-Jun Chung

Abstract

C-reactive protein (CRP) is a general marker of systemic inflammation and cardiovascular disease (CVD). The genetic contribution to differences in CRP levels remains to be explained, especially in non-European populations. Thus, the aim of this study was to identify genetic loci associated with CRP levels in Korean population. We performed genome-wide association studies (GWAS) using SNPs from 8,529 Korean individuals (7,626 for stage 1 and 903 for stage 2). We also performed pathway analysis. We identified a new genetic locus associated with CRP levels upstream of ARG1 gene (top significant SNP: rs9375813, Pmeta = 2.85×10(-8)), which encodes a key enzyme of the urea cycle counteract the effects of nitric oxide, in addition to known CRP (rs7553007, Pmeta = 1.72×10(-16)) and HNF1A loci (rs2259816, Pmeta = 2.90×10(-10)). When we evaluated the associations between the CRP-related SNPs with cardiovascular disease phenotypes, rs9375813 (ARG1) showed a marginal association with hypertension (P = 0.0440). To identify more variants and pathways, we performed pathway analysis and identified six candidate pathways comprised of genes related to inflammatory processes and CVDs (CRP, HNF1A, PCSK6, CD36, and ABCA1). In addition to the previously reported loci (CRP, HNF1A, and IL6) in diverse ethnic groups, we identified novel variants in the ARG1 locus associated with CRP levels in Korean population and a number of interesting genes related to inflammatory processes and CVD through pathway analysis.

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Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 3%
Sri Lanka 1 3%
Unknown 37 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Student > Bachelor 5 13%
Researcher 5 13%
Student > Master 4 10%
Student > Doctoral Student 3 8%
Other 7 18%
Unknown 8 21%
Readers by discipline Count As %
Medicine and Dentistry 7 18%
Agricultural and Biological Sciences 6 15%
Nursing and Health Professions 4 10%
Social Sciences 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Other 5 13%
Unknown 12 31%
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 21 January 2015.
All research outputs
#18,389,490
of 22,778,347 outputs
Outputs from PLOS ONE
#154,594
of 194,344 outputs
Outputs of similar age
#164,055
of 227,054 outputs
Outputs of similar age from PLOS ONE
#3,734
of 4,933 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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