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 · The standard way of utilizing imputation in the GWAS analysis is to impute the genotypes and compute the summary statistics from the imputed ...

Improving Imputation Accuracy by Inferring Causal Variants in Genetic Studies. J Comput Biol. Authors. Yue Wu. Farhad Hormozdiari. Jong Joo. Eleazar Eskin.

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 ...

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 ...

May 23, 2018 · Imputation provides a higher-resolution view of a genetic region by adding more variants, thereby increasing the chances of identifying a causal ...

This strategy improves imputation accuracy, particularly for rare variants. To balance the increasing computational burden necessary for large, dense reference.

Jan 3, 2024 · The cost-free increase in statistical power of using imputation to infer missing genotypes is undoubtedly appealing, but is it hazard-free?