Introduction: The Palmprint, a dermatoglyphic marker, is defi¬ned as the print of a palm, which is mainly composed of the palmar flexion creases and ridges. The palm print patterns and blood groups are unique, stable and remain unchanged throughout the life. Hence, the present study was undertaken to investigate association between Palm print patterns and ABO and Rh blood groups in both the genders of the North Indian population. Material and Method: The sample for the cross- sectional study was consist of palmprints from 300 (Male: female 1:1,150 each) medical students of North India. The palmprints of both the hands of the subjects were recorded by the ink and roller method. Result: The distribution of palmprint patterns of both hands showed a high frequency of Category 5, moderate of category 4, small of category 6 & 3 and none of category 1 &2. The study also show gender discrimination as category 5 was more common in males while Category 4 was more common in females ( P -value for Right hand is.012 and for Left hand is <.001). Positive correlation was found between palm print patterns and blood group but was not statistically significant. Conclusion: The findings of present study revealed statistically significant sexual dimorphism in the study population. Palm print patterns also showed a positive correlation with ABO blood groups.

Introduction- The fingerprints are most dependable and acceptable dermatoglyphic traits for personal identification The current study is an attempt to observe the percentage frequency distribution of patterns of fingerprint bilaterally as well as digit wise, to assess the predominant pattern type, besides, evaluating the statistically significant gender variations. This study may enhance the authenticity of finger print patterns in identifications of suspects. Material & method- The study sample was consisting of fingerprints of 600 medical students of Punjab, India. The subjects were aged between 17–25 years and male female ratio was 1:1. Fingerprints were recorded by the ink and roller method of Cummins and Midlo and analysed manually by using Henry`s classification. Appropriate statistical tests were applied to achieve aim of study. Result- This cross- sectional study revealed that the most common finger print pattern of both hands was Loops (L-51.6%, R-53.3%), followed by whorls (L-38.6%, R-38.2%), arches (L-8.8%, R- 6.7%) and composites (L-1.0%, R-1.8%) respectively. Each digits show preferences for specific patterns.Discussion- The current study showed insignificant bilateral difference and significant sexual dimorphism in the distribution frequency of the finger print which might be caused by differences in heritability and developmental variation among sexes