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Genetic variants of numb gene were associated with elevated total cholesterol level and low density lipoprotein cholesterol level in Chinese subjects, in Xinjiang, China

Overview of attention for article published in Diagnostic Pathology, August 2015
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Title
Genetic variants of numb gene were associated with elevated total cholesterol level and low density lipoprotein cholesterol level in Chinese subjects, in Xinjiang, China
Published in
Diagnostic Pathology, August 2015
DOI 10.1186/s13000-015-0373-2
Pubmed ID
Authors

Mayila Abudoukelimu, Zhen-Yan Fu, Yang Xiang, Yi-Tong Ma, Qing Zhu, Minawaer Abudu, Dilare Adi, Yi-Ning Yang, Xiao-Mei Li, Xiang Xie, Fen Liu, Bang-Dang Chen

Abstract

Hypercholesterolemia is one of the most common risk factors for Coronary Artery Disease (CAD), which is the leading cause of death worldwide. As Numb is an important regulating factor regarding intestinal cholesterol absorption and plasma cholesterol level, the aim of the present study is to investigate the relationship between human Numb gene polymorphism and cholesterol level in Chinese subjects. All participants came from the First Affiliated Hospital of Xinjiang Medical University (Male: 1052 and Female: 596), and four tagging SNPs (rs2108552, rs12435797, rs1019075 and rs17781919) of Numb gene were genotyped by using TaqMan(®) assays and analyzed in an ABI 7900HT Fast Real-Time PCR System. Further, general liner model was applied for assessing the relationship between cholesterol level and genotypes. By analyzing a dominant model, recessive model and an additive model, we have found that SNP rs2108552 was associated with total cholesterol (TC) and low density lipoprotein-cholesterol level (LDL-C) (P = 0.000 and P = 0.007; P =0.042 and P =0.009; P = 0.006 and P = 0.030). C allele of SNP rs17781919 had significantly lower plasma TC level (3.46 ± 0.74 mmol/L vs 4.27 ± 1.1 mmol/L) and LDL-C level (0.98 ± 0.55 mmol/L vs 2.64 ± 0.93 mmol/L) when compared with T allele. Additionally, SNP rs12435797 was associated with TC level and SNP rs1019075 was associated with LDL-C level by analyses of a dominant model, recessive model and an additive model (P = 0.000, P = 0.005 and P = 0.004; P = 0.016, P = 0.008 and P = 0.033). Further, the association of rs2108552, rs12435797, rs1019075 and rs17781919 with aforementioned different kinds of cholesterol levels remained statistically significant after multivariate adjustment of ethnicity, gender, age, smoking and obesity. Our results indicated that both rs2108552 and rs17781919 in the Numb gene were associated with total cholesterol level and density lipoprotein-cholesterol level in Chinese subjects.

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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 > Bachelor 4 27%
Professor 2 13%
Student > Master 2 13%
Student > Doctoral Student 1 7%
Student > Ph. D. Student 1 7%
Other 1 7%
Unknown 4 27%
Readers by discipline Count As %
Nursing and Health Professions 3 20%
Medicine and Dentistry 3 20%
Agricultural and Biological Sciences 2 13%
Biochemistry, Genetics and Molecular Biology 1 7%
Social Sciences 1 7%
Other 1 7%
Unknown 4 27%
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 12 August 2015.
All research outputs
#13,444,212
of 22,821,814 outputs
Outputs from Diagnostic Pathology
#350
of 1,127 outputs
Outputs of similar age
#124,480
of 264,494 outputs
Outputs of similar age from Diagnostic Pathology
#34
of 77 outputs
Altmetric has tracked 22,821,814 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,127 research outputs from this source. They receive a mean Attention Score of 2.8. This one has gotten more attention than average, scoring higher than 65% of its peers.
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 264,494 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 51% of its contemporaries.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.