Adjacent digit fingerprint white line count differences: a pointer to sexual dimorphism for forensic application
Abstract 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 pop...
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Online Access: | https://doi.org/10.1186/s41935-019-0169-8 |
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doaj-9c4a592cc78444e5bf1f474b48c83b312020-12-06T12:05:13ZengSpringerOpenEgyptian Journal of Forensic Sciences2090-59392019-12-01911810.1186/s41935-019-0169-8Adjacent digit fingerprint white line count differences: a pointer to sexual dimorphism for forensic applicationMagaji Garba Taura0Lawan Hassan Adamu1Abdullahi Yusuf Asuku2Kabiru Bilkisu Umar3Musa Abubakar4College of Medicine, University of BishaDepartment of Anatomy, Faculty of Basic Medical Sciences, College of Health Sciences, Bayero UniversityDepartment of Anatomy, Faculty of Basic Medical Sciences, College of Health Sciences, Bayero UniversityDepartment of Human Anatomy, Faculty of Basic Medical Sciences, College of Medicine and Health Sciences, Federal University DutseDepartment of Anatomy, Faculty of Basic Medical Sciences, College of Health Sciences, Bayero UniversityAbstract 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.https://doi.org/10.1186/s41935-019-0169-8Forensic sciencesFingerprint white lineSex determinationHausa population |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Magaji Garba Taura Lawan Hassan Adamu Abdullahi Yusuf Asuku Kabiru Bilkisu Umar Musa Abubakar |
spellingShingle |
Magaji Garba Taura Lawan Hassan Adamu Abdullahi Yusuf Asuku Kabiru Bilkisu Umar Musa Abubakar Adjacent digit fingerprint white line count differences: a pointer to sexual dimorphism for forensic application Egyptian Journal of Forensic Sciences Forensic sciences Fingerprint white line Sex determination Hausa population |
author_facet |
Magaji Garba Taura Lawan Hassan Adamu Abdullahi Yusuf Asuku Kabiru Bilkisu Umar Musa Abubakar |
author_sort |
Magaji Garba Taura |
title |
Adjacent digit fingerprint white line count differences: a pointer to sexual dimorphism for forensic application |
title_short |
Adjacent digit fingerprint white line count differences: a pointer to sexual dimorphism for forensic application |
title_full |
Adjacent digit fingerprint white line count differences: a pointer to sexual dimorphism for forensic application |
title_fullStr |
Adjacent digit fingerprint white line count differences: a pointer to sexual dimorphism for forensic application |
title_full_unstemmed |
Adjacent digit fingerprint white line count differences: a pointer to sexual dimorphism for forensic application |
title_sort |
adjacent digit fingerprint white line count differences: a pointer to sexual dimorphism for forensic application |
publisher |
SpringerOpen |
series |
Egyptian Journal of Forensic Sciences |
issn |
2090-5939 |
publishDate |
2019-12-01 |
description |
Abstract 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. |
topic |
Forensic sciences Fingerprint white line Sex determination Hausa population |
url |
https://doi.org/10.1186/s41935-019-0169-8 |
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