Evaluation of loci to predict ear morphology using two SNaPshot assays.

Human ear morphology prediction with SNP-based genotypes is growing in forensic DNA phenotyping and is scarcely explored in Pakistan as a part of EVCs (externally visible characteristics). The ear morphology prediction assays with 21 SNPs were assessed for their potential utility in forensic identification of population. The SNaPshot™ multiplex chemistries, capillary electrophoresis methods and GeneMapper™ software were used for obtaining genotypic data. A total of 33 ear phenotypes were categorized with digital photographs of 300 volunteers. SHEsis software was applied to make LD plot. Ordinal and multinomial logistic regression was implemented for association testing. Multinomial logistic regression was executed to construct the prediction model in 90% training and 10% testing subjects. Several influential SNPs for ear phenotypic variation were found in association testing. The model based on genetic markers predicted ear phenotypes with moderate to good predictive accuracies demonstrated with the area under curve (AUC), sensitivity and specificity of predicted phenotypes. As an additional EVC, the estimated ear phenotypic profiles have the possibility of determining the human ear morphology differences in unknown biological samples found in crimes that do not result in a criminal database hit. Furthermore, this can help in facial reconstruction and act as an investigational lead.

Mitochondrial control region diversity in Sindhi ethnic group of Pakistan.

The entire mitochondrial DNA control region (nt 16024-576) of 88 unrelated individuals of Sindhi ethnic group residing in different parts of Sindh province of Pakistan was sequenced. Out of 66 different observed haplotypes 50 were unique and 16 were shared by more than one individual. Results showed admixture of mtDNA pool constituting the haplogroups derived mainly from South Asia (47.6%) and West Eurasian (35.7%) whereas the contribution of the African haplogroup was very small (2.4%). High values of genetic diversity (0.992), power of discrimination (0.981) and low value of random match probability (0.018) indicates that mtDNA analysis for this population can effectively be used for forensic casework. The results are valuable contribution towards building mtDNA population variation database for this particular ethnic group from Pakistan.