Postdoctoral Associate, Population Research Institute, The Pennsylvania State University, University Park, Pennsylvania
Assistant Professor, The Pennsylvania State University, University Park, PA
(Received 20 October 1993; accepted 25 April 1994)
A logistic regression model was developed to predict ethnic group from mitochondrial DNA (mtDNA) types determined by hybridization with sequence-specific oligonucleotide (SSO) probes of the two hypervariable segments of the mtDNA control region. The model was developed with, and tested against, a previously reported data set of 525 individuals from five ethnic groups (African-American, Southeast Asian, Caucasian, Japanese, and Mexican) involving 23 probes at nine regions within the two hypervariable segments . The model correctly predicted the ethnic group of 65.3% of the overall sample; however, the success rate varied substantially among ethnic groups, with the most success obtained with Caucasians (81% correctly classified). A discriminant analysis yielded similar results. An example is given of using the model to predict the ethnic group of an SSO-type from a forensic case. Such models provide alternatives to traditional skeletal-based methods of predicting ethnicity, especially in cases where skeletal material is absent or incomplete.
Paper ID: JFS13725J