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Genetic variants in microRNA genes and targets associated with cardiovascular disease risk factors in the African-American population

Overview of attention for article published in Human Genetics, December 2017
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Title
Genetic variants in microRNA genes and targets associated with cardiovascular disease risk factors in the African-American population
Published in
Human Genetics, December 2017
DOI 10.1007/s00439-017-1858-8
Pubmed ID
Authors

Chang Li, Megan L. Grove, Bing Yu, Barbara C. Jones, Alanna Morrison, Eric Boerwinkle, Xiaoming Liu

Abstract

The purpose of this study is to identify microRNA (miRNA) related polymorphism, including single nucleotide variants (SNVs) in mature miRNA-encoding sequences or in miRNA-target sites, and their association with cardiovascular disease (CVD) risk factors in African-American population. To achieve our objective, we examined 1900 African-Americans from the Atherosclerosis Risk in Communities study using SNVs identified from whole-genome sequencing data. A total of 971 SNVs found in 726 different mature miRNA-encoding sequences and 16,057 SNVs found in the three prime untranslated region (3'UTR) of 3647 protein-coding genes were identified and interrogated their associations with 17 CVD risk factors. Using single-variant-based approach, we found 5 SNVs in miRNA-encoding sequences to be associated with serum Lipoprotein(a) [Lp(a)], high-density lipoprotein (HDL) or triglycerides, and 2 SNVs in miRNA-target sites to be associated with Lp(a) and HDL, all with false discovery rates of 5%. Using a gene-based approach, we identified 3 pairs of associations between gene NSD1 and platelet count, gene HSPA4L and cardiac troponin T, and gene AHSA2 and magnesium. We successfully validated the association between a variant specific to African-American population, NR_039880.1:n.18A>C, in mature hsa-miR-4727-5p encoding sequence and serum HDL level in an independent sample of 2135 African-Americans. Our study provided candidate miRNAs and their targets for further investigation of their potential contribution to ethnic disparities in CVD risk factors.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 27%
Researcher 5 23%
Student > Doctoral Student 2 9%
Other 2 9%
Student > Master 2 9%
Other 3 14%
Unknown 2 9%
Readers by discipline Count As %
Medicine and Dentistry 9 41%
Biochemistry, Genetics and Molecular Biology 4 18%
Agricultural and Biological Sciences 2 9%
Environmental Science 1 5%
Mathematics 1 5%
Other 2 9%
Unknown 3 14%
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 16 April 2019.
All research outputs
#14,961,684
of 23,012,811 outputs
Outputs from Human Genetics
#2,502
of 2,959 outputs
Outputs of similar age
#254,270
of 440,645 outputs
Outputs of similar age from Human Genetics
#14
of 16 outputs
Altmetric has tracked 23,012,811 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,959 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 14th percentile – i.e., 14% 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 440,645 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.