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Comprehensive SNP Analysis of Genes in Cholestrol Metabolism | 29180

Журнал диабета и метаболизма

ISSN - 2155-6156

Абстрактный

Comprehensive SNP Analysis of Genes in Cholestrol Metabolism (PGC 1 Alpha), Insulin Signaling (IRS1), Potassium Channel (KCNJ11) and Glucose Homeostasis (PI3K) in Three Diversified Groups

Surbhi Sethi, Rakesh K Panjaliya, Parvinder Kumar, Subash Gupta and AJS Bhanwer

Objective: Type 2 Diabetes is an increasingly common serious, metabolic disorder with a substantial inherited component. We examined 4 SNPs in 4 candidate genes for association with diabetes status and related phenotype in 800 individuals in a case control study.

Research design and methodology: We examined SNPs of 4 candidate genes predicted to have their major role in T2DM. A total of 800 subjects were enrolled (400 patients and 400 controls) from North Indian Population of Jammu and Kashmir from three ethnic groups (Brahmins 200, Khatris 100, Guptas 100). Genotypic analysis was followed by DNA extraction and PCR RFLP technique.

Results: The results confirmed the genetic complexity of Type 2 Diabetes and provide evidence that PGC 1 Alpha (Gly482Ser) and PI3K (Met 326 Ile) polymorphisms have altered the cholesterol pathway and glucose homeostasis and signified the risk of T2DM.

Отказ от ответственности: Этот реферат был переведен с помощью инструментов искусственного интеллекта и еще не прошел проверку или верификацию