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

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Haller , T , Leitsalu , L , Fischer , K , Nuotio , M-L , Esko , T , Boomsma , D I , Kyvik , K O , Spector , T D , Perola , M & Metspalu , A 2017 , ' MixFit : Methodology for Computing Ancestry-Related Genetic Scores at the Individual Level and Its Application to the Estonian and Finnish Population Studies ' , PLoS One , vol. 12 , no. 1 , 0170325 . https://doi.org/10.1371/journal.pone.0170325

Title: MixFit : Methodology for Computing Ancestry-Related Genetic Scores at the Individual Level and Its Application to the Estonian and Finnish Population Studies
Author: Haller, Toomas; Leitsalu, Liis; Fischer, Krista; Nuotio, Marja-Liisa; Esko, Tonu; Boomsma, Dorothea Irene; Kyvik, Kirsten Ohm; Spector, Tim D.; Perola, Markus; Metspalu, Andres
Contributor organization: Institute for Molecular Medicine Finland
Quantitative Genetics
Date: 2017-01-20
Language: eng
Number of pages: 14
Belongs to series: PLoS One
ISSN: 1932-6203
DOI: https://doi.org/10.1371/journal.pone.0170325
URI: http://hdl.handle.net/10138/176775
Abstract: 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. Numerical ancestry component scores are assigned to individuals based on comparisons with reference populations. These comparisons are conducted with an existing analytical pipeline making use of genotype phasing, similarity matrix computation and our addition-multidimensional best fitting by MixFit. The method is demonstrated by studying Estonian and Finnish populations in geographical context. We show the main differences in the genetic composition of these otherwise close European populations and how they have influenced each other. The components of our analytical pipeline are freely available computer programs and scripts one of which was developed in house.
Subject: GENOME-WIDE ASSOCIATION
FINLAND
3111 Biomedicine
Peer reviewed: Yes
Rights: cc_by
Usage restriction: openAccess
Self-archived version: publishedVersion


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