Publication: An exploration of ABCG2 and SLC2A9 gene interactions with gout
| dc.contributor.author | Khuancharee K. | |
| dc.contributor.author | Tanunyutthawongse C. | |
| dc.contributor.author | Wannaiampikul S. | |
| dc.date.accessioned | 2021-04-05T03:01:13Z | |
| dc.date.available | 2021-04-05T03:01:13Z | |
| dc.date.issued | 2020 | |
| dc.date.issuedBE | 2563 | |
| dc.description.abstract | Background: Currently, there is no systematic analysis of single nucleotide polymorphisms (SNPs) in the urate transporter genes (ABCG2 and SLC2A9), and the influence of their combination and gene-gene (G×G) interactions on gout is still unknown in the Thai population. Objective: To investigate the interaction between ABCG2 and SLC2A9 with gout. Materials and Methods: A matched case-control study with 116 Thai adults (58 gout patients and 58 control subjects) was done. Genotyping using a TaqMan SNP Genotyping Assays was performed. G×G interactions for gout risk were analyzed using an interaction analysis in multiple conditional logistic regression. Results: The results show that the rs2231142 (G/T+T/T) variants in ABCG2 was associated with gout. On the contrary, the rs2280205 (G/A+A/A) and rs6820230 (C/T-T/T) variant in SLC2A9 were not associated with gout. The result indicated that the participants carrying ABCG2 variant with SLC2A9 wild-type (i.e., original base pairs) had a significant association with gout. The present study results also revealed that epistatic interaction pairs (rs2231142:rs6820230 and rs2231142:rs2280205) were strongly associated with gout. Conclusion: The authors concluded that the ABCG2 and SLC2A9 interactions were a significant association with gout. The stronger combined effect of SNPs in the ABCG2 and SLC2A9 genes via G×G interaction may help to predict gout risk and its prognosis. However, further studies with larger sample sizes should be performed to confirm these results. © JOURNAL OF THE MEDICAL ASSOCIATION OF THAILAND | 2020. | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | Journal of the Medical Association of Thailand. Vol 103, No.11 (2020), p.1163-1170 | |
| dc.identifier.doi | 10.35755/jmedassocthai.2020.11.11281 | |
| dc.identifier.issn | 1252208 | |
| dc.identifier.other | 2-s2.0-85096169601 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14740/4327 | |
| dc.rights | Srinakharinwirot University | |
| dc.rights.holder | Scopus | |
| dc.subject.other | High density lipoprotein cholesterol | |
| dc.subject.other | Low density lipoprotein cholesterol | |
| dc.subject.other | Triacylglycerol | |
| dc.subject.other | ABCG2 gene | |
| dc.subject.other | Adult | |
| dc.subject.other | Article | |
| dc.subject.other | Body mass | |
| dc.subject.other | Case control study | |
| dc.subject.other | Cholesterol blood level | |
| dc.subject.other | Controlled study | |
| dc.subject.other | Diastolic blood pressure | |
| dc.subject.other | Female | |
| dc.subject.other | Gene | |
| dc.subject.other | Gene interaction | |
| dc.subject.other | Genetic association | |
| dc.subject.other | Genetic variability | |
| dc.subject.other | Genome-wide association study | |
| dc.subject.other | Genotype | |
| dc.subject.other | Gout | |
| dc.subject.other | Human | |
| dc.subject.other | Major clinical study | |
| dc.subject.other | Male | |
| dc.subject.other | Middle aged | |
| dc.subject.other | Obesity | |
| dc.subject.other | Prognosis | |
| dc.subject.other | Sample size | |
| dc.subject.other | Single nucleotide polymorphism | |
| dc.subject.other | SLC2A9 gene | |
| dc.subject.other | Systolic blood pressure | |
| dc.title | An exploration of ABCG2 and SLC2A9 gene interactions with gout | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| swu.datasource.scopus | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096169601&doi=10.35755%2fjmedassocthai.2020.11.11281&partnerID=40&md5=a7395188dc2274a1affc39a48f140d8a |
