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Influence of Ethnicity in Association of UCP2 ‐866G/A, PGC1α (Gly 482 Ser) and SIRT1 ‐1400T/C Polymorphisms in North Indian Punjabi Population Groups
Author(s) -
Kaul Nabodita,
Bhanwer AJS,
Bamezai Ramesh NK
Publication year - 2011
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.25.1_supplement.lb82
T2D involves complex interplay of both genetic and environmental factors leading to two distinct defects in insulin secretion and insulin action. The association of UCP2 ‐866G/A, PGC1α (Gly 482 Ser) and SIRT1 ‐1400T/C polymorphisms polymorphisms in North Indian population groups was investigated in 859 diabetics and 810 non diabetic subjects from Punjab. India exhibits different ethnic population structure comprising various caste groups existing from ages which have mostly remained endogamous. Thus to assess the impact of ethnicity, these individuals were further stratified on the basis of respective caste groups. Binary logistic regression was applied to test the association of risk factors with T2D after adjusting for age, sex and BMI. In total population UCP2‐866AA (p=0.0001) and PGC1α AA (p=0.2) significantly provided risk. Caste based stratification revealed UCP2‐866AA provided risk only in Banias (p=0.00001), BCs (p=0.003) and SCs (p=0.01) while PGC1α AA provided risk in BCs (p=0.006), Brahmins (p=0.00004) and Khatris (p=0.002). SIRT1 does not seem to provide risk either in the total population or in any of the caste groups. Thus the present investigation concludes that differential pattern of association of polymorphisms is observed for different caste groups, suggesting the putative role of ethnicity. Thus, for risk calculation and proper medical intervention, knowledge of the ethnicity and nature of variation in risk factors need serious attention.