Determination of individual type 2 diabetes risk profile in the North East Indian population & its association with anthropometric parameters

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dc.contributor.authorSarkar, Pen_US
dc.contributor.authorBhowmick, Aen_US
dc.contributor.authorBaruah, MPen_US
dc.contributor.authorBhattacharjee, Sen_US
dc.contributor.authorSubhadra, Pen_US
dc.contributor.authorBanu, Sen_US
dc.date.accessioned2020-04-10T01:44:20Z
dc.date.available2020-04-10T01:44:20Z
dc.date.issued2019-10
dc.description.abstractBackground & objectives: Diabetes genomics research has illuminated single nucleotide polymorphism (SNP) in several genes including, fat mass and obesity associated (FTO) (rs9939609 and rs9926289), potassium voltage-gated channel subfamily J member 11 (rs5219), SLC30A 8 (rs13266634) and peroxisome proliferator-activated receptor gamma 2 (rs1805192). The present study was conducted to investigate the involvement of these polymorphisms in conferring susceptibility to type 2 diabetes (T2D) in the North East Indian population, and also to establish their association with anthropometric parameters. Methods: DNA was extracted from blood samples of 155 patients with T2D and 100 controls. Genotyping was performed by polymerase chain reaction-restriction fragment length polymorphism and DNA sequencing. To confirm the association between the inheritance of SNP and T2D development, logistic regression analysis was performed. Results: For the rs9939609 variant (FTO), the dominant model AA/(AT+TT) revealed significant association with T2D [odds ratio (OR)=2.03, P=0.021], but was non-significant post correction for multiple testing (P=0.002). For the rs13266634 variant (SLC30A 8), there was considerable but non-significant difference in the distribution pattern of genotypic polymorphisms between the patients and the controls (P=0.004). Significant association was observed in case of the recessive model (CC+CT)/TT (OR=4.56 P=0.001), after adjusting for age, gender and body mass index. In addition, a significant association (P=0.001) of low-density lipoprotein (mg/dl) could be established with the FTO (rs9926289) polymorphism assuming dominant model. Interpretation & conclusions: The current study demonstrated a modest but significant effect of SLC30A8 (rs13266634) polymorphisms on T2D predisposition. Considering the burgeoning prevalence of T2D in the Indian population, the contribution of these genetic variants studied, to the ever-increasing number of T2D cases, appears to be relatively low. This study may serve as a foundation for performing future genome-wide association studies (GWAS) involving larger populations.en_US
dc.identifier.affiliationsDepartment of Bioengineering & Technology, Gauhati University, Guwahati, Assam, Indiaen_US
dc.identifier.affiliationsDepartment of Endocrinology, Excelcare Hospitals, Guwahati, Assam, Indiaen_US
dc.identifier.affiliationsDepartment of Statistics, Gauhati University, Guwahati, Assam, Indiaen_US
dc.identifier.affiliationsDepartment of Genetics & Molecular Medicine, Kamineni Academy of Medical Sciences & Research Center, Hyderabad, Telangana, Indiaen_US
dc.identifier.citationSarkar P, Bhowmick A, Baruah MP, Bhattacharjee S, Subhadra P, Banu S. Determination of individual type 2 diabetes risk profile in the North East Indian population & its association with anthropometric parameters. Indian Journal of Medical Research. 2019 Oct; 150(4): 390-398en_US
dc.identifier.issn0971-5916
dc.identifier.issn0975-9174
dc.identifier.placeIndiaen_US
dc.identifier.urihttps://imsear.searo.who.int/handle/123456789/196029
dc.languageenen_US
dc.publisherIndian Council of Medical Researchen_US
dc.relation.issuenumber4en_US
dc.relation.volume150en_US
dc.source.urihttps://dx.doi.org/10.4103/ijmr.IJMR_888_17en_US
dc.subjectBody mass indexen_US
dc.subjectHbA1c- hyperglycaemiaen_US
dc.subjectobesityen_US
dc.subjectpolymorphismen_US
dc.subjecttype 2 diabetesen_US
dc.titleDetermination of individual type 2 diabetes risk profile in the North East Indian population & its association with anthropometric parametersen_US
dc.typeJournal Articleen_US
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