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Inferring ethnicity from mitochondrial DNA sequence by Chih Lee; Ion I Măndoiu; Craig E Nelson is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is Inferring ethnicity from mitochondrial DNA sequence about?

## Background The assignment of DNA samples to coarse population groups can be a useful but difficult task. One such example is the inference of coarse ethnic groupings for forensic applications. Ethnicity plays an important role in forensic investigation and can be inferred with the help of genetic markers. Being maternally inherited, of high copy number, and robust persistence in degraded samples, mitochondrial DNA may be useful for inferring coarse ethnicity. In this study, we compare the performance of methods for inferring ethnicity from the sequence of the hypervariable region of the mitochondrial genome. ## Results We present the results of comprehensive experiments conducted on datasets extracted from the mtDNA population database, showing that ethnicity inference based on support vector machines (SVM) achieves an overall accuracy of 80-90%, consistently outperforming nearest neighbor and discriminant analysis methods previously proposed in the literature. We also evaluate methods of handling missing data and characterize the most informative segments of the hypervariable region of the mitochondrial genome. ## Conclusions Support vector machines can be used to infer coarse

Who reads Inferring ethnicity from mitochondrial DNA sequence?

Author

Chih Lee; Ion I Măndoiu; Craig E Nelson

Publisher

BioMed Central; Springer (Biomed Central Ltd.); London: BioMed Central, 2007-; Springer Science and Business Media LLC; Society for Mining, Metallurgy and Exploration Inc. (ISSN 1753-6561)

Published

2011

Language

EN

Field

Biochemistry, Genetics and Molecular Biology (Life Sciences)