Abstract
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.
Original language | English |
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Pages (from-to) | 63-64 |
Number of pages | 2 |
Journal | Forensic Science International: Genetics Supplement Series |
Volume | 4 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2013 |