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Genotype imputation has been widely utilized for two reasons in the analysis of genome-wide association studies (GWAS). One reason is to increase the power ...
Nov 7, 2019 · In this article, we propose a new method, CAUSAL-Imp, which can impute the association statistics at untyped variants while taking into account ...
Improving Imputation Accuracy by Inferring Causal Variants in Genetic ...
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Apr 12, 2017 · We perform similar experiment where we implant two causal variants in a locus. In this experiment, the imputed statistics from CAUSAL-Imp are ...
Improving Imputation Accuracy by Inferring Causal Variants in Genetic Studies. J Comput Biol. Authors. Yue Wu. Farhad Hormozdiari. Jong Joo. Eleazar Eskin.
Nov 7, 2019 · In this article, we propose a new method, CAUSAL-Imp, which can impute the association statistics at untyped variants while taking into account ...
In this paper, we propose a new method, CAUSAL-Imp, which can impute the association statistics at untyped variants while taking into account variants in the ...
In this paper, we propose a new method, CAUSAL-Imp, which can impute the association statistics at untyped variants while taking into account variants in the ...
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Apr 12, 2017 · Imputation allows geneticists to study variants that have not been directly genotyped in a sample and thereby to increase power and resolution ...
Nov 23, 2022 · In this paper, we propose an efficient knockoff-based method, GhostKnockoff, for genome-wide association studies (GWAS) that leads to improved ...
Bibliographic details on Improving Imputation Accuracy by Inferring Causal Variants in Genetic Studies.