Can imputation in a European country be improved by local reference panels? The example of France
Anthony F. HerzigiD, Lourdes Velo‐SuáreziD, Principal Investigators, Dominique CampioniD, Jean‐François DartiguesiD, Jean‐Charles LambertiD, Collaborators, Bioinformatics, Thomas Ludwig, Benjamin Grenier‐BoleyiD, Sébastien Letort, Pierre LindenbaumiD, Vincent MeyeriD, Olivier QueneziD, Statistical genetics, Céline BellengueziD, Camille Charbonnier-Le Clézio, Joanna GiemzaiD, Data collection, Stéphanie ChateliD, Claude FéreciD, Hervé Le MareciD, Luc LetenneuriD, Gaël NicolasiD, Karen RouaultiD, , Emmanuelle GéniniD
Abstract
France has a population with extensive internal fine-structure; and while public imputation reference panels contain an abundance of European genomes, there include few French genomes. Intuitively, using a study specific panel (SSP) for France would therefore likely be beneficial. To investigate, we imputed 550 French individuals using either the University of Michigan imputation server with the Haplotype Reference Consortium panel, or in-house using an SSP of 850 whole-genome sequenced French individuals. With approximate geo-localization of both our target and SSP individuals we are able to pinpoint different scenarios where SSP-based imputation would be preferred over server-based imputation or vice-versa. We could also show to a high degree of resolution how the proximity of the reference panel to a target individual determined the accuracy of both haplotype phasing and genotype imputation. Previous comparisons of different strategies have shown the benefits of combining public reference panels with SSPs. Getting the best out of both resources simultaneously is unfortunately impractical. We put forward a pragmatic solution where server-based and SSP-based imputation outcomes can be combined based on comparing posterior genotype probabilities. Such an approach can give a level of imputation accuracy markedly in excess of what could be achieved with either strategy alone.
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