Sex, Ancestral, and pattern type variation of fingerprint minutiae

A forensic perspective on anthropological dermatoglyphics

Datos Bibliográficos

ID8318901
AutoresNichole A Fournier (Department of Anthropology, Washington State University Pullman WA 99164, autor de correspondencia), Ann H Ro (0000-0001-8780-1414, North Carolina State University), Ann H Ross (Department of Sociology and Anthropology, North Carolina State University Raleigh NC 27695)
Año2016
Volumen160
Número4
Páginas625-632
Fecha de publicación2016-08-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaAmerican Journal of Physical Anthropology (JOURNAL)
Identificadores de la revistaISSN: 0002-9483 • E-ISSN: 1096-8644
EditorialWiley (PUBLISHER • GB)
DOI10.1002/ajpa.22869
PMID26397817
OpenAlexW1960475004
IdiomaEN
Citas recibidas3
Referencias citadas22

OBJECTIVES: The majority of anthropological studies on dermatoglyphics examine the heritability and inter-population variation of Level 1 detail (e.g., pattern type, total ridge count), while forensic scientists concentrate on individual uniqueness of Level 2 and 3 detail (e.g., minutiae and pores, respectively) used for positive identification. The present study bridges the gap between researcher-practitioner by examining sex, ancestral, and pattern type variation of Level 2 detail (e.g., minutiae). MATERIALS AND METHODS: Bifurcations, ending ridges, short ridges, dots, and enclosures on the right index finger of 243 individuals (n = 61 African American ♀; n = 61 African American ♂; n = 61 European American ♀; n = 60 European American ♂) were analyzed. The overall effect of sex, ancestry, and pattern type on minutiae variation was assessed using a MANCOVA. ANOVA was used to identify Level 2 detail variables responsible for the variation. Logistic regression was used to classify individuals into groups. RESULTS: The effect of sex is insignificant. Ancestry is significant (Wilks' λ = 0.053 F value = 2.98, DF = 4,224, P value = 0.02), as is pattern type (Wilks' λ = 0.874 F value = 2.57, DF = 12,592.94, P value = 0.003). The ANOVA reveals that bifurcations are responsible for the variation between ancestral groups, while bifurcations and ending ridges vary between patterns. Logistic regression results suggest that total bifurcations can predict the ancestry of an individual (ChiSq = 6.55, df = 1, Prob > ChiSq = 0.01). DISCUSSION: Significant minutiae variation between ancestral groups yields information that is valuable in both a forensic and anthropological setting. Am J Phys Anthropol 160:625-632, 2016. © 2015 Wiley Periodicals, Inc

Biology · Dermatoglyphics · Evolutionary biology · Fingerprint (computing) · Forensic anthropology · Forensic science · Logistic regression · Minutiae · Population · Sociology · Statistics · Variation (astronomy) · Anthropology · Artificial Intelligence · Biometric Identification and Security · Computer Science · Demography · Dermatoglyphics and Human Traits · Forensic Anthropology and Bioarchaeology Studies · Genetics · Mathematics