Statistical Bioinformatics to Uncover the Underlying Biological Mechanisms That Linked Smoking with Type 2 Diabetes Patients Using Transcritpomic and GWAS Analysis

Statistical Bioinformatics to Uncover the Underlying Biological Mechanisms That Linked Smoking with Type 2 Diabetes Patients Using Transcritpomic and GWAS Analysis

Type 2 diabetes (T2D) is a chronic metabolic disease defined by insulin insensitivity corresponding to impaired insulin sensitivity, decreased insulin production, and eventually failure of beta cells in the pancreas. There is a 30–40 percent higher risk of developing T2D in active smokers. Moreover,...

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Bibliographic Details
Main Authors: Abu Sayeed Md. Ripon Rouf, Md. Al Amin, Md. Khairul Islam, Farzana Haque, Kazi Rejvee Ahmed, Md. Ataur Rahman, Md. Zahidul Islam, Bonglee Kim
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Molecules
Subjects:
Type-2 diabetes
smoking
bioinformatics
association
GSEA
pathway
Online Access:https://www.mdpi.com/1420-3049/27/14/4390

Internet

https://www.mdpi.com/1420-3049/27/14/4390

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