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Comparative Dermatoglyphic Study between Autistic Patients and Normal People in Iran
Mansoureh Kazemi1, Mohammad Reza Fayyazi-Bordbar2, Nasser Mahdavi-Shahri3
1Department of Biology, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
Fingerprint patterns, specifically loops and ridge counts on thumbs and index fingers, differ significantly between autistic children and healthy individuals. These dermatoglyphic variations may aid in early autism screening.
Area of Science:
- Neurodevelopmental Disorders
- Genetics
- Biometrics
Background:
- Autism Spectrum Disorder (ASD) is a neurodevelopmental condition with complex etiology involving genetic and environmental factors.
- Diagnosis often occurs later in childhood, highlighting the need for early identification methods.
- Dermatoglyphics, the study of fingerprint patterns, are stable throughout life and have been linked to various genetic conditions.
Purpose of the Study:
- To investigate potential associations between dermatoglyphic patterns and autism in a specific Iranian population.
- To explore the utility of fingerprint analysis as a potential biometric screening tool for autism.
Main Methods:
- A comparative study involving 104 autistic children (ages 5-15) and 102 healthy controls (ages 6-25) from the Fars population in Khorasan-Razavi, Iran.
- Fingerprint data, including pattern types and ridge counts, were collected using a fingerprint scanner.
- Statistical analysis employed the Mann-Whitney nonparametric test and binomial distribution.
Main Results:
- Significant differences were observed in dermatoglyphic pattern distribution on the thumbs and index fingers between autistic individuals and controls (P<0.05).
- Autistic patients exhibited a higher frequency of loop patterns on their right and left thumbs and index fingers.
- A notable decrease in ridge counts was found on the thumbs and index fingers of autistic individuals compared to the control group.
Conclusions:
- Dermatoglyphic patterns, particularly on the thumbs and index fingers, are significantly associated with the risk of autism.
- Fingerprint analysis shows promise as a non-invasive biometric parameter for the early screening of children with autism.
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