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Year 2019

Volume: 6 , Issue: 2

Print ISSN:-2394-2118

Online ISSN:-2394-2126

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Indian Journal of Clinical Anatomy and Physiology

A study of palmar dermatoglyphics in type 2 diabetes mellitus in a Bangalore based population

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Author Details: Supraja Srivatsava*,Sathyamurthy Burli

Volume : 6

Issue : 1

Online ISSN : 2394-2126

Print ISSN : 2394-2118

Article First Page : 118

Article End Page : 125


Introduction: Type 2 diabetes mellitus (DM2) is represented by somatic traits of genetic factors like dermatoglyphic patterns. There is a rising incidence of DM2, requiring simple means to identify predisposition to DM2.
Materials and Methods: The study comprised 75 male and 75 female patients of DM2, with positive family history of diabetes, 75 male and 75 female nondiabetics as controls, with no family history of diabetes. The prints were recorded by the Ink Method and analyzed for qualitative and quantitative parameters.
Results: Diabetics of both sexes showed a significantly higher incidence of spiral whorls in both hands except L2, R1 and R4 of male cases and L1 and R5 of females, and nondiabetics of both sexes showed a higher incidence of loops in both hands. Fingertip ridge counts were significantly higher in diabetics of both sexes, except L2 and R1 in males and R5 in females. In males, pattern intensity, TFRC, AFRC and MFRC of both hands were significantly higher in diabetics. In females, the pattern intensity, AFRC, MFRC of both hands and TFRC of the right hand were significantly higher in diabetics. The left hypothenar area showed a significantly higher incidence of open fields in female nondiabetics .The right fourth interdigital area showed significantly higher incidence of open fields in female diabetics. The scores for a-b ridge count, atd angle, distal deviation of t, breadth ratio and main-line index were not statistically significant.
Conclusion: Dermatoglyphics can be used for early and inexpensive screening of individuals at risk for DM2.

Keywords: Dermatoglyphics, Diabetes mellitus, Type 2, Non insulin dependent, Family history, South Indian population, Bangalore.

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