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Empirical versus estimated accuracy of imputation: optimising filtering thresholds for sequence imputation

Abstract Background Genotype imputation is a cost-effective method for obtaining sequence genotypes for downstream analyses such as genome-wide association studies (GWAS). However, low imputation accuracy can increase the risk of false positives, so it is important to pre-filter data or at least ass...

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主要な著者: Tuan V. Nguyen, Sunduimijid Bolormaa, Coralie M. Reich, Amanda J. Chamberlain, Christy J. Vander Jagt, Hans D. Daetwyler, Iona M. MacLeod
フォーマット: Artigo
言語:Alemão
出版事項: BMC 2024-11-01
シリーズ:Genetics Selection Evolution
オンライン・アクセス:https://doi.org/10.1186/s12711-024-00942-2
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