DESCRIPTIVE STUDY ON EARLY DETECTION OF AUTISM FROM FINGERPRINT

Abstract

Introduction; The prevalence of autism is increasing in India and there is no diagnostic tool available for predicting the possibility of autism as on now.

Objective; The current study aims at finding evidence that will help in early diagnosis or predict the possibility of ASD at the time of birth using fingerprints.

Methods; Fingerprints being a very strong and permanent phenotypical input, should bestudied in detail. The data available also is very limited. So, the present study tries to correlate the data obtained from ASD children with that of typical, school going children. The data was taken with informed consent from the parents. Statistical analysis was done to determine the frequency and intensity of data

Result; Indicated that there is significant difference in fingerprint pattern between Autistic and non-autistic children. The intensity of Whorl among autistic group is significantly high as well as the intensity of loops in non-autistic is also significantly high.

Conclusion; The increased prevalence of whorls in autistic group supports the hypothesis of altered embryological development during critical gestational period. These findings suggest that dermatoglyphics could serve as a non-invasive supplementary tool for early detection and risk assessment of neuro developmental conditions