Introduction: A fingerprint is the reproduction of the friction ridges present on the inner surface of a fingertip. In the court of law, fingerprint proof is undeniably the most dependable and acceptable evidence till date. Fingerprint is the effective method of identification for Aadhar card for general population and also for suspects and victims.
Aim and objective: The present study was to analyze relationship between fingerprint patterns, gender, blood group and common clinical complaints.
Material and Methods: In the present study 150 members participated, out of which 75 males and 75 females were randomly selected from different locations in Chennai, Tamilnadu. The study project was started after obtaining approval from Institutional Ethics Committee. The fingerprint patterns were recognized based on the appearance of ridge lines to determine loops, whorls, mixed or composite and arches. Blood groups were confirmed on the basis of presence or absence of agglutination as per the standard protocol.
Results: Total number of loops found in both gender in the left thumb print were 60 (40%), followed by whorls 40 (27%), Mixed 34 (23%) while Arches were present in a low frequency 16 (11%). Most of subjects in our study belonged to blood group “O” followed by “B”, “A” and “AB” blood groups. Blood group O positive was the most common, whereas O negative and AB negative were the rarest. Highest numbers of Loops were found in blood groups O, B compared to A and AB. Frequency of all finger print patterns was found to be more in females. Some common clinical complaints were seen in all the blood groups.
Conclusion: The present study confirms that loop was the most common fingerprint pattern while arch was the least common. This study revealed that there was a relationship between distribution of fingerprint patterns, blood group and gender and thus prediction of gender and blood group of a person may be possible based on his/her fingerprint pattern to identify suspected victims of crime, biometric security, mass disaster etc. Accordingly the relationship of blood group and different diseases can be used for early prediction and consequently for prevention of the progression of different diseases.
