An assessment of Bayesian and multinomial logistic regression classification systems to analyse admixed individuals

Dennis MCNEVIN, C. Santos, A. Gómez-Tato, J. Álvarez-Dios, M. Casares de Cal, R. Daniel, C. Phillips, M. V. Lareu

Research output: Contribution to journalArticle

6 Citations (Scopus)

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 languageEnglish
Pages (from-to)63-64
Number of pages2
JournalForensic Science International: Genetics Supplement Series
Volume4
Issue number1
DOIs
Publication statusPublished - 2013

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