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Attention Score in Context
| Title |
The cis and trans effects of the risk variants of coronary artery disease in the Chr9p21 region
|
|---|---|
| Published in |
BMC Medical Genomics, May 2015
|
| DOI | 10.1186/s12920-015-0094-0 |
| Pubmed ID | |
| Authors |
Wei Zhao, Jennifer A Smith, Guangmei Mao, Myriam Fornage, Patricia A Peyser, Yan V Sun, Stephen T Turner, Sharon LR Kardia |
| Abstract |
Recent genome-wide association studies (GWAS) have shown that single nucleotide polymorphisms (SNPs) in the Chr9p21 region are associated with coronary artery disease (CAD). Most of the SNPs identified in this region are non-coding SNPs, suggesting that they may influence gene expression by cis or trans mechanisms to affect disease susceptibility. Since all cells from an individual have the same DNA sequence variations, levels of gene expression in immortalized cell lines can reflect the functional effects of DNA sequence variations that influence or regulate gene expression. The objective of this study is to evaluate the functional consequences of the risk variants in the Chr9p21 region on gene expression. We examined the association between the variants in the Chr9p21 region and the transcript-level mRNA expression of the adjacent genes (cis) as well as all other genes across the whole genome (trans) from transformed beta-lymphocytes in 801 non-Hispanic white participants from The Genetic Epidemiology Network of Arteriopathy (GENOA) study. We found that the CAD risk variants in the Chr9p21 region were significantly associated with the mRNA expression of the ANRIL transcript ENST00000428597 (p = 8.58E-06). Importantly, a few distant transcripts were also found to be associated with the variants in this region, including the well-known CAD risk gene ABCA1 (p = 1.01E-05). Gene enrichment testing suggests that retinol metabolism, N-Glycan biosynthesis, and TGF signaling pathways may be involved. These results suggest that the effect of risk variants in the Chr9p21 region on susceptibility to CAD is likely to be mediated through both cis and trans mechanisms. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 20% |
| Professor > Associate Professor | 4 | 13% |
| Professor | 3 | 10% |
| Student > Bachelor | 3 | 10% |
| Student > Doctoral Student | 2 | 7% |
| Other | 8 | 27% |
| Unknown | 4 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 27% |
| Agricultural and Biological Sciences | 7 | 23% |
| Medicine and Dentistry | 5 | 17% |
| Immunology and Microbiology | 2 | 7% |
| Social Sciences | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 4 | 13% |
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 30 January 2016.
All research outputs
#15,331,767
of 22,803,211 outputs
Outputs from BMC Medical Genomics
#676
of 1,223 outputs
Outputs of similar age
#156,408
of 263,961 outputs
Outputs of similar age from BMC Medical Genomics
#15
of 25 outputs
Altmetric has tracked 22,803,211 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,223 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 35th percentile – i.e., 35% 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 263,961 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.