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Associations of lipid levels susceptibility loci with coronary artery disease in Chinese population

Overview of attention for article published in Lipids in Health and Disease, July 2015
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Title
Associations of lipid levels susceptibility loci with coronary artery disease in Chinese population
Published in
Lipids in Health and Disease, July 2015
DOI 10.1186/s12944-015-0079-1
Pubmed ID
Authors

Xue-bin Wang, Ya-di Han, Ning-hua Cui, Jia-jia Gao, Jie Yang, Zhu-liang Huang, Qiang Zhu, Fang Zheng

Abstract

Recent genome-wide association studies (GWAS) have identified several single nucleotide polymorphisms (SNPs) that were associated with blood lipid levels in Caucasians. This study investigated whether these loci influenced lipid levels and whether they were associated with the risk of coronary artery disease (CAD) and its angiographic severity in Chinese population. Six SNPs were genotyped in 1100 CAD cases and 1069 controls using the high-resolution melting (HRM) method. Coronary atherosclerosis severity was assessed by the vessel scores and the Gensini scoring system. Among the 6 SNPs and the genetic risks scores (GRS), the minor alleles of HNF1A rs1169288 (odd ratio (OR) = 1.18, 95 % confidence interval (CI) 1.05-1.33, P = 0.006) and MADD-FOLH1 rs7395662 (OR = 1.20, 95 % CI 1.07-1.36, P = 0.002) as well as the GRS (P = 1.06 × 10(-5)) were significantly associated with increased risk of CAD after false discovery rate (FDR) correction. The vessel (P = 0.013) and Gensini scores (β = 0.113, P = 0.002) differed among CAD patients with different SNP rs1169288 C > T genotypes. The multiple linear regression analyses using an additive model revealed that the minor allele C of SNP rs1169288 (β = 0.060, P = 0.001) and the GRS (β = 0.033, P = 3.59 × 10(-4)) were significantly associated with increased total cholesterol (TC) levels, the minor allele A of SNP rs7395662 (β = -0.024, P = 0.007) and the GRS (β = -0.013, P = 0.004) were significantly associated with decreased high-density lipoprotein cholesterol (HDL-c) levels. The present study demonstrated that SNPs rs1169288, rs7395662 and the GRS were significantly associated with lipid levels and the risk of CAD in Chinese population. Furthermore, the allele C of SNP rs1169288 increased the odds of coronary atherosclerosis severity.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 20%
Researcher 3 20%
Student > Ph. D. Student 3 20%
Student > Postgraduate 2 13%
Lecturer > Senior Lecturer 1 7%
Other 2 13%
Unknown 1 7%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 33%
Medicine and Dentistry 3 20%
Agricultural and Biological Sciences 2 13%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Psychology 1 7%
Other 1 7%
Unknown 2 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 July 2015.
All research outputs
#14,231,810
of 22,818,766 outputs
Outputs from Lipids in Health and Disease
#684
of 1,450 outputs
Outputs of similar age
#135,330
of 263,272 outputs
Outputs of similar age from Lipids in Health and Disease
#14
of 33 outputs
Altmetric has tracked 22,818,766 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,450 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 49th percentile – i.e., 49% 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 263,272 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 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 51% of its contemporaries.