Adjacent digit fingerprint white line count differences: a pointer to sexual dimorphism for forensic application
| Autor: | Musa Abubakar, Abdullahi Yusuf Asuku, Lawan Hassan Adamu, Kabiru B. Umar, Magaji Garba Taura |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Health (social science)
Population Biology Thumb Logistic regression Fingerprint white line Pathology and Forensic Medicine 03 medical and health sciences 0302 clinical medicine Statistics medicine lcsh:Law in general. Comparative and uniform law. Jurisprudence 030216 legal & forensic medicine education education.field_of_study lcsh:R5-920 Stepwise regression Sex determination Hausa population Numerical digit Sexual dimorphism Forensic science medicine.anatomical_structure lcsh:K1-7720 Population study Forensic sciences lcsh:Medicine (General) Law 030217 neurology & neurosurgery |
| Zdroj: | Egyptian Journal of Forensic Sciences, Vol 9, Iss 1, Pp 1-8 (2019) |
| ISSN: | 2090-5939 |
| Popis: | Background Sex determination is one of the leading criterion in identification and verification of an individual. However, the potential roles of differences in adjacent fingerprint white line count (FWLC) in sex inference are not well elucidated in the literature especially among Hausa population. The study was conducted to determine sexual dimorphism and predict sex using adjacent digit FWLC difference (adj. DFWLCD) among Hausa population of Kano state, Nigeria. Methods The study population involved 300 participants. FWLC was determined from a plain fingerprint captured using live scanner. The formula for adj. DFWLCD of thumb and fifth digit is dR15 for right hand. The same applied for possible combination in cephalocaudal direction. Mann-Whitney and t tests were used for comparison of variables between sexes. Binary logistic regression analyses were employed for determination of sex. Results We observed a significantly larger adj. DFWLCD in males compared with females in most of the digit combination. A significant sexual dimorphism was observed in most of the adj. DFWLCD involving ring digit in both right (dR14, dR24, and dR34) and left (dL14, dL24, and dL34). The best discrimination was observed in adjacent FWLC difference of second and fourth digits in both right and left digits (dR24 and dL24). This was further supported by stepwise logistic regression analyses. Conclusion The adj. DFWLCD exhibits sexual dimorphism. The best prediction potentials were found to be dR24 and dL24 for right and left hands respectively. |
| Databáze: | OpenAIRE |
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