Fingerprint White Line Counts: An Upcoming Forensic Tool for Sex Determination

Adamu, Lawan Hassan; Asuku, Abdullahi Yusuf; Muhd, Usman A.; Sa’id, Tajuddeen L.; Nasir, Sadiya B.; Taura, Magaji Garba

doi:10.26735/16586794.2019.003

Cited by 8 publications

(16 citation statements)

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“…The significant sexual dimorphism observed in the adj. DFWLCD in the present study; reaffirms the potential of the FWLC in sex prediction as reported in previous studies (Badawi et al, 2006;Taduran et al, 2016;Adamu et al, 2019). The existence of sexual dimorphism in the adj.…”

Section: Discussionsupporting

confidence: 92%

“…1). The FWLC for each digit was considered as the number of the observed white lines per unit plain fingerprints (Taduran et al, 2016;Adamu et al, 2019). The reliability and intra observer error in the FWLC were reported elsewhere (Adamu et al, 2019).…”

Section: Fingerprints Capturing and White Line Countsmentioning

confidence: 99%

“…However, the potential roles of differences in adjacent FWLC in sex inference are not well elucidated in the literature especially among Hausa population. Only few studies reported the potential role of FWL in sex determination in the other populations (Badawi et al, 2006;Taduran et al, 2016) including the Hausa population (Adamu et al, 2019). Since sex determination is one of the leading criteria in identification and verification of an individual among all the key parameters of identification (Ubelaker, 1996), and determination of sex of human remains has been proven to help forensic experts during analyses of dismembered and fragmentary remains and also in criminal investigation by narrowing the pool of potential suspect matches (Kanchan et al, 2008;Dey and Kapoor, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Adjacent digit fingerprint white line count differences: a pointer to sexual dimorphism for forensic application

Taura

Adamu

Asuku

et al. 2019

Egypt J Forensic Sci

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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.

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Section: Discussionsupporting

confidence: 92%

Section: Fingerprints Capturing and White Line Countsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Adjacent digit fingerprint white line count differences: a pointer to sexual dimorphism for forensic application

Taura

Adamu

Asuku

et al. 2019

Egypt J Forensic Sci

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“…With the subject wearing light indoor attire, body weight and height were measured to the closest 0.1 kg and 0.5 cm, respectively using a standiometer (RZ-160, China) (Adamu et al, 2019).…”

Section: Measurement Of Body Composition Parametersmentioning

confidence: 99%

“…The term "fingerprint white lines" refers to a region of ridge hypoplasia that becomes evident as white in a captured fingerprint, dubbed "white lines" (Cummins and Midlo, 1943;Ashburgh, 1999;D' Adamo, 2010). It has been reported that fWLC correspond to depressions on the epidermal ridges, and that this feature may signify the loss of cells and extracellular matrix that make up the skin tissues (Maceo, 2011;Adamu et al, 2019). The fingerprint is a significant biological feature of the human body that provides a lot of information about gender (Qi et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Fingerprints white line counts (fWLC): An unfolding panacea of body composition estimation among students of selected tertiary institution in Kano State Nigeria

Nasir¹,

Salisu²,

Rayyan³

et al. 2022

dujopas

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The term "fingerprint white lines (fWL)" refers to a region of ridge hypoplasia that appears as white lines in a captured fingerprint, dubbed "white lines". The aim of this work was to see if there is any sexual dimorphism in fingerprint white line count (fWLC) and body composition parameters (BCP), as well as look into the relationship between the two. The study was a cross sectional design with 300 participants. The body composition parameters were measured using a bioelectric impedance machine. The fingerprint was captured using a live scanner to determine the fWLC. Females had considerably higher metabolic age, body fat, and visceral fat. In all ten digits, statistically significant differences in fWLC were found. Females were shown to have a higher fWLC, metabolic age, body fat, and visceral fat than males. Except for percent body fat, the fWLC revealed a significant negative correlation with all body composition indices. The fWLC of the left thumb correlates with percent visceral fat while the left and right middle fWLC showed a significant correlation with metabolic age. All ten digits fWLC had a strong link with percent body fat, percent muscle mass, and resting metabolism, with the left ring and thumb fWLC having a higher correlation. Thumb, index, middle, and little fWLC of the left digit, and middle and ring fWLC of the right digit are used to calculate BMI. The greatest predictors for BMI and percent body fat were found to be the left middle and right little digits fWLC. Left ring and right middle digit fWLC were the best predictors of percentage muscle mass and metabolic ages, respectively. Both resting metabolism and percent visceral fat were best predicted by the left thumb fWLC. Finally, sexual dimorphism in relation to BCP and fWLC was discovered.

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Interpol review of fingermarks and other body impressions (2019 – 2022)

Bécue

Champod

2023

Forensic Science International: Synergy

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Fingerprint White Line Counts: An Upcoming Forensic Tool for Sex Determination

Cited by 8 publications

References 0 publications

Adjacent digit fingerprint white line count differences: a pointer to sexual dimorphism for forensic application

Adjacent digit fingerprint white line count differences: a pointer to sexual dimorphism for forensic application

Fingerprints white line counts (fWLC): An unfolding panacea of body composition estimation among students of selected tertiary institution in Kano State Nigeria

Interpol review of fingermarks and other body impressions (2019 – 2022)

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