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

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 predisposit...

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Main Authors: Shah Fahad Husami, Tavleen Kaur, Love Gupta, Garima Rastogi, Lakhvinder Singh, Pooja Meena, Indu Sharma, Hemender Singh, Varun Sharma
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-024-84160-2
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author Shah Fahad Husami
Tavleen Kaur
Love Gupta
Garima Rastogi
Lakhvinder Singh
Pooja Meena
Indu Sharma
Hemender Singh
Varun Sharma
author_facet Shah Fahad Husami
Tavleen Kaur
Love Gupta
Garima Rastogi
Lakhvinder Singh
Pooja Meena
Indu Sharma
Hemender Singh
Varun Sharma
author_sort Shah Fahad Husami
collection DOAJ
description 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.
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spelling doaj-art-35f507ad58504c4fb56f1a47dea8a3e02025-01-05T12:16:24ZengNature PortfolioScientific Reports2045-23222025-01-0115111110.1038/s41598-024-84160-2Corporate genome screening India (CoGsI) identified genetic variants association with T2D in young Indian professionalsShah Fahad Husami0Tavleen Kaur1Love Gupta2Garima Rastogi3Lakhvinder Singh4Pooja Meena5Indu Sharma6Hemender Singh7Varun Sharma8Unlock Wellness Pvt. Ltd.Unlock Wellness Pvt. Ltd.NMC Genetics India Pvt. Ltd.NMC Genetics India Pvt. Ltd.Pharmacology Divisions, CSIR-Indian Institute of Integrative MedicineNMC Genetics India Pvt. Ltd.Keck School of Medicine, University of Southern CaliforniaNMC Genetics India Pvt. Ltd.NMC Genetics India Pvt. Ltd.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.https://doi.org/10.1038/s41598-024-84160-2Type 2 diabetesGeneticsYoung professionalsSNPsGenotyping
spellingShingle Shah Fahad Husami
Tavleen Kaur
Love Gupta
Garima Rastogi
Lakhvinder Singh
Pooja Meena
Indu Sharma
Hemender Singh
Varun Sharma
Corporate genome screening India (CoGsI) identified genetic variants association with T2D in young Indian professionals
Scientific Reports
Type 2 diabetes
Genetics
Young professionals
SNPs
Genotyping
title Corporate genome screening India (CoGsI) identified genetic variants association with T2D in young Indian professionals
title_full Corporate genome screening India (CoGsI) identified genetic variants association with T2D in young Indian professionals
title_fullStr Corporate genome screening India (CoGsI) identified genetic variants association with T2D in young Indian professionals
title_full_unstemmed Corporate genome screening India (CoGsI) identified genetic variants association with T2D in young Indian professionals
title_short Corporate genome screening India (CoGsI) identified genetic variants association with T2D in young Indian professionals
title_sort corporate genome screening india cogsi identified genetic variants association with t2d in young indian professionals
topic Type 2 diabetes
Genetics
Young professionals
SNPs
Genotyping
url https://doi.org/10.1038/s41598-024-84160-2
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