Analysis of finger and toe prints and their corresponding correlations in the anioma people of Nigeria

Background: A comparison of the finger and toe ridge patterns can reveal their genetic interdependence. This cross-sectional study aimed at analyzing and correlating the corresponding finger and toe ridge counts. Materials and Methods: The hands and feet of 100 subjects (50 males and 50 females) from the Anioma tribe of Nigeria were scanned with Hewlett placard G4010 photo scanner following ethical approval. Evaluation of the finger and toe prints was carried out using AutoCAD version 2010. Data were analyzed using the Statistical Package of the Social Sciences version 23 and presented using descriptive statistics. Chi-square test was used to test for association between nonparametric variables while Pearson's correlation was used to assess for the relationship between corresponding finger and toe ridge counts. P < 0.05 was considered statistically significant. Results: The predominant finger and toe ridge patterns were loops (73%, 79.7%) followed by arches (18.4%, 15.1%) and finally whorls (8.6%, 5.2%). There was a significant association between gender and the combined print patterns of all the five digits on a limb (P ≤ 0.05). A significant positive correlation existed between the mean ridge counts of some of the corresponding fingers and toes in females. This correlation was weak in the corresponding 1st right and 1st and 3rd left digits (0 < r < 0.5) (P ≤ 0.05) and strong in the corresponding 3rd to 5th right digits and 2nd, 4th, and 5th left digits (0.5 ≤ r < 1) (P ≤ 0.05). Conclusion: The study has clearly shown that sexual dimorphism is displayed only by a combination of the print patterns in all digits of a limb as against individual digits. Using correlation of digital mean ridge counts, the right 3rd to 5th and the left 2nd, 4th, and 5th digits from either the hand or the foot in females can be used to predict the corresponding digit among the Anioma people of Nigeria, hence their importance in forensic sciences.