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. 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. T... Mehr ...
Verfasser: |
Haller, Toomas
Leitsalu, Liis
Fischer, Krista
Nuotio, Marja-Liisa
Esko, Tõnu
Boomsma, Dorothea Irene
Kyvik, Kirsten Ohm
Spector, Tim D
Perola, Markus
Metspalu, Andres |
Dokumenttyp: |
Artikel |
Erscheinungsdatum: |
2017 |
Reihe/Periodikum: |
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 , e0170325 , pp. e0170325 . https://doi.org/10.1371/journal.pone.0170325 |
Schlagwörter: |
Journal Article
/ /dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_
/ name=Netherlands Twin Register (NTR) |
Sprache: |
Englisch |
Permalink: |
https://search.fid-benelux.de/Record/base-27228574 |
Datenquelle: |
BASE;
Originalkatalog |
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Link(s) :
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https://research.vu.nl/en/publications/1c9bc1c2-c72a-49a5-a8ae-3dba8084aba4 |