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Harmonization of study and reference data by PhaseLift: saving time when imputing study data

Gorski, M., Winkler, T. W., Stark, K., Müller-Nurasyid, M., Ried, J. S., Grallert, H., Weber, Bernhard H. F. and Heid, Iris M. (2014) Harmonization of study and reference data by PhaseLift: saving time when imputing study data. Genetic Epidemiology 38, pp. 381-388.

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Abstract

Genome-wide association studies are usually accompanied by imputation techniques to complement genome-wide SNP chip genotypes. Current imputation approaches separate the phasing of study data from imputing, which makes the phasing independent from the reference data. The two-step approach allows for updating the imputation for a new reference panel without repeating the tedious phasing step. This ...

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Item type:Article
Date:2014
Institutions:Medicine > Lehrstuhl für Humangenetik
Medicine > Abteilung für Nephrologie
Medicine > Institut für Epidemiologie und Präventivmedizin
Identification Number:
ValueType
10.1002/gepi.21812DOI
24962562PubMed ID
Keywords:1000 Genomes; HapMap; genome-wide association studies; genotype imputation; imputation quality; meta-analysis
Dewey Decimal Classification:600 Technology > 610 Medical sciences Medicine
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:35170
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