| Title |
Genetic risk score (GRS) constructed from polymorphisms in the PON1, IL-6, ITGB3, and ALDH2 genes is associated with the risk of coronary artery disease in Pakistani subjects
|
|---|---|
| Published in |
Lipids in Health and Disease, September 2018
|
| DOI | 10.1186/s12944-018-0874-6 |
| Pubmed ID | |
| Authors |
NA Shabana, Sana Ashiq, Anam Ijaz, Fizah Khalid, Istabsar ul Saadat, Kahkashan Khan, Sumbal Sarwar, Saleem Ullah Shahid |
| Abstract |
Coronary artery disease (CAD) is a major killer in today's world. Pakistan is also affected by this non-communicable disease like other countries. It is a multifactorial disease and is influenced by many gene-gene and gene-environment interactions. A total of 623 (219 controls, 404 cases) Pakistani subjects were genotyped for four SNPs, rs662 (PON1), rs5918 (ITGB3), rs671 (ALDH2), rs1800795 (IL-6) by PCR-RFLP. Various anthropometric parameters were noted and serum lipid profile was measured using commercially available kits. Statistical analysis was done by SPSS version 22. A Genetic Risk Score (GRS) was calculated from individual SNPs. The association of the SNPs and the GRS with CAD was checked using logistic regression. The results showed that the risk allele frequencies of all variants were higher in the cases than the controls, however the difference was not statistically significant association (p > 0.0125). The mean GRS in the controls was 3.99 ± 1.42 and in cases, it was 4.29 ± 1.39, the difference between the groups was significant (p = 0.0109). logistic regression of individual SNPs and GRS with the CAD showed that independent SNPs were not significantly associated with the CAD however, the GRS had a strong association (p = 1.4 × 10- 4). The subjects were divided into three groups based on GRS (Gp 1 with GRS 0-2, Gp 2 with GRS 3-5 and Gp 3 with GRS 6-8). The analysis of the effect of the individual SNPs and GRS groups on different lipid profile parameters revealed no significant association of any of the tested SNPs with any lipid parameter, however, the GRS groups showed marginally significant for TC and highly significant association for TG, LDL-c and HDL-c. In conclusion, use of a GRS can provide better information than individual SNPs. The larger the number of the SNPs included in the analysis, the better would be the risk prediction. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 19% |
| Student > Ph. D. Student | 4 | 15% |
| Student > Bachelor | 2 | 7% |
| Other | 1 | 4% |
| Lecturer | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 12 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 19% |
| Medicine and Dentistry | 5 | 19% |
| Computer Science | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Immunology and Microbiology | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 13 | 48% |
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 09 November 2018.
All research outputs
#15,629,406
of 24,032,151 outputs
Outputs from Lipids in Health and Disease
#778
of 1,518 outputs
Outputs of similar age
#204,650
of 345,144 outputs
Outputs of similar age from Lipids in Health and Disease
#11
of 29 outputs
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