Publication:
An exploration of ABCG2 and SLC2A9 gene interactions with gout

dc.contributor.authorKhuancharee K.
dc.contributor.authorTanunyutthawongse C.
dc.contributor.authorWannaiampikul S.
dc.date.accessioned2021-04-05T03:01:13Z
dc.date.available2021-04-05T03:01:13Z
dc.date.issued2020
dc.date.issuedBE2563
dc.description.abstractBackground: 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.mimetypeapplication/pdf
dc.identifier.citationJournal of the Medical Association of Thailand. Vol 103, No.11 (2020), p.1163-1170
dc.identifier.doi10.35755/jmedassocthai.2020.11.11281
dc.identifier.issn1252208
dc.identifier.other2-s2.0-85096169601
dc.identifier.urihttps://hdl.handle.net/20.500.14740/4327
dc.rightsSrinakharinwirot University
dc.rights.holderScopus
dc.subject.otherHigh density lipoprotein cholesterol
dc.subject.otherLow density lipoprotein cholesterol
dc.subject.otherTriacylglycerol
dc.subject.otherABCG2 gene
dc.subject.otherAdult
dc.subject.otherArticle
dc.subject.otherBody mass
dc.subject.otherCase control study
dc.subject.otherCholesterol blood level
dc.subject.otherControlled study
dc.subject.otherDiastolic blood pressure
dc.subject.otherFemale
dc.subject.otherGene
dc.subject.otherGene interaction
dc.subject.otherGenetic association
dc.subject.otherGenetic variability
dc.subject.otherGenome-wide association study
dc.subject.otherGenotype
dc.subject.otherGout
dc.subject.otherHuman
dc.subject.otherMajor clinical study
dc.subject.otherMale
dc.subject.otherMiddle aged
dc.subject.otherObesity
dc.subject.otherPrognosis
dc.subject.otherSample size
dc.subject.otherSingle nucleotide polymorphism
dc.subject.otherSLC2A9 gene
dc.subject.otherSystolic blood pressure
dc.titleAn exploration of ABCG2 and SLC2A9 gene interactions with gout
dc.typeArticle
dspace.entity.typePublication
swu.datasource.scopushttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85096169601&doi=10.35755%2fjmedassocthai.2020.11.11281&partnerID=40&md5=a7395188dc2274a1affc39a48f140d8a

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