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. 2025 Jan 2;15(1):506.
doi: 10.1038/s41598-024-84160-2.

Corporate genome screening India (CoGsI) identified genetic variants association with T2D in young Indian professionals

Shah Fahad Husami  1 , Tavleen Kaur  1 , Love Gupta  2 , Garima Rastogi  2 , Lakhvinder Singh  3 , Pooja Meena  2 , Indu Sharma  4 , Hemender Singh  5 , Varun Sharma  6
Affiliations

Corporate genome screening India (CoGsI) identified genetic variants association with T2D in young Indian professionals

Shah Fahad Husami et al. Sci Rep. .

Abstract

Rising cases of type 2 diabetes (T2D) in India, especially in metropolitan cities is an increasing concern. The individuals that were most affected are young professionals working in the corporate sector. However, the corporate sector has remained the least explored for T2D risk predisposition. Considering corporate employees' lifestyles and the role of gene-environment interaction in T2D susceptibility, the study aims to find genetic variants associated with T2D predisposition. In this first kind of study, 680 young professionals (284 T2D cases, and 396 controls) were diagnosed and screened for 2658 variants on an array designed explicitly for the CoGsI study. The variant filtering was done at Bonferroni p-value of 0.000028. The genetic data was analysed using PLINK v1.09, SPSS, R programming, VEP tool, and FUMA GWAS tool. Interestingly, 42 variants were associated with the T2D risk. Out of 42, three missense variants (rs1402467, rs6050, and rs713598) in Sulfotransferase family 1 C member 4 (SULT1C4), Fibrinogen Alpha Chain (FGA), and Taste 2 Receptor Member 38 (TAS2R38) and two untranslated region (UTR) variants (rs1063320 and rs6296) in Major Histocompatibility Complex, Class I, G (HLA-G) and 5-Hydroxytryptamine Receptor 1B (HTR1B) were associated with the T2D risk. CoGsI identified potential genomic markers increasing susceptibility to the early onset of T2D. Present findings provide insights into mechanisms underlying T2D manifestation in corporate professionals due to genetics interacting with occupational stress and urban lifestyles.

Keywords: Genetics; Genotyping; SNPs; Type 2 diabetes; Young professionals.

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Conflict of interest statement

Declarations. Competing interests: The authors declare no competing interests. Ethical approval: All procedures performed were in accordance with the ethical standards of the institutional and/or national research committee and with the Helsinki Declaration 2013 and its later amendments or comparable ethical standards. Disclosures: Shah Fahad Husami and Tavleen Kaur are employees of Unlock Wellness Pvt. Ltd. Love Gupta, Garima Rastogi, Pooja Meena, Varun Sharma, and Hemender Singh are employees of NMC Genetics India Pvt. Ltd, the research organisation that conducted the study.

Figures

Fig. 1
Fig. 1
Flowchart depicting the variant filtering criteria used in the present study. The variant filtering criteria in the flowchart comprised of the minor allele frequency filter of < 0.05, genotype frequency of < 0.1, and Hardy Weinberg equilibrium of < 0.05. The association of the variants with T2D was observed at the Bonferroni threshold of ≤ 0.000028.
Fig. 2
Fig. 2
Correlations of significant variants and their genotypes with lifestyle/environmental factors including Physical Activity, Unhealthy Diet, and Occupational Stress in Young Indian Professionals.
Fig. 3
Fig. 3
Heatmap representing the expression of the genes in 54 tissue sets data of GTEx database highlighting the possibly important genes and their expression in the specific tissues. The significantly associated genes of the present study were highlighted with the black arrow and their expression in the specific tissues including Adipose subcutaneous tissue, adipose visceral omentum tissue, and the pancreas tissue has been highlighted with a black arrow.
Fig. 4
Fig. 4
Network analysis depicting the gene-gene interaction of the associated genes depicting the genetic, physical, predicted interactions, shared protein domain, co-localisation, and co-expression. The different interactions have been shown in different colors as represented in the key provided in the figure. Majority of the interactions were found to predicted, physical and genetic in nature.
See this image and copyright information in PMC

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