Multinomial logistic regression (MLR) has been applied to the prediction of hair and eye colour. Here we apply it to the prediction of biogeographical ancestry (BGA) in a test set of 1092 admixed and non-admixed genotypes from the 1000 Genomes Project using a training set of 571 non-admixed genotypes from the HGDP CEPH cell line panel. Predicted BGAs are consistent with those of Structure, a naïve Bayesian classifier.
|Number of pages||2|
|Journal||Forensic Science International: Genetics Supplement Series|
|Publication status||Published - 2013|
MCNEVIN, D., Santos, C., Gómez-Tato, A., Álvarez-Dios, J., de Cal, M. C., Daniel, R., Phillips, C., & Lareu, M. V. (2013). An assessment of Bayesian and multinomial logistic regression classification systems to analyse admixed individuals. Forensic Science International: Genetics Supplement Series, 4(1), 63-64. https://doi.org/10.1016/j.fsigss.2013.10.032