MixFit: Methodology for Computing Ancestry-Related Genetic Scores at the Individual Level and Its Application to the Estonian and Finnish Population Studies

Ancestry information at the individual level can be a valuable resource for personalized medicine, medical, demographical and history research, as well as for tracing back personal history. We report a new method for quantitatively determining personal genetic ancestry based on genome-wide data. Num...

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Bibliographic Details
Published in:	PloS one Vol. 12; no. 1; p. e0170325
Main Authors:	Haller, Toomas, Leitsalu, Liis, Fischer, Krista, Nuotio, Marja-Liisa, Esko, Tõnu, Boomsma, Dorothea Irene, Kyvik, Kirsten Ohm, Spector, Tim D., Perola, Markus, Metspalu, Andres
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 20.01.2017 Public Library of Science (PLoS)
Subjects:	Bioinformatics Biology and Life Sciences Cohort Studies Computer programs Data processing Estonia Estonians Finland Finns Genealogy and Heraldry Genetic aspects Genetic diversity Genetics, Population Genomes Genotypes Haplotypes History Humans Internet Medical research Methods People and Places Population Population studies Population-based studies Populations Precision medicine Public health Quantitative genetics Software Studies Finland Estonia
ISSN:	1932-6203, 1932-6203
Online Access:	Get full text
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