2014
DOI: 10.1371/journal.pone.0101025
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A New Genotype Imputation Method with Tolerance to High Missing Rate and Rare Variants

Abstract: We report a novel algorithm, iBLUP, to impute missing genotypes by simultaneously and comprehensively using identity by descent and linkage disequilibrium information. The simulation studies showed that the algorithm exhibited drastically tolerance to high missing rate, especially for rare variants than other common imputation methods, e.g. BEAGLE and fastPHASE. At a missing rate of 70%, the accuracy of BEAGLE and fastPHASE dropped to 0.82 and 0.74 respectively while iBLUP retained an accuracy of 0.95. For min… Show more

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Cited by 27 publications
(28 citation statements)
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“…Because of phase ambiguity for haplotypes and the diversity of breeds, the missing genotype rate of pig SNP data must be controlled to guarantee high accuracy of imputation (Yang et al . ). However, the critical value of the missing genotype rate that could be tolerated during ROH detection needs to be explored first to help determine the threshold for SNP filtration.…”
Section: Discussionmentioning
confidence: 97%
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“…Because of phase ambiguity for haplotypes and the diversity of breeds, the missing genotype rate of pig SNP data must be controlled to guarantee high accuracy of imputation (Yang et al . ). However, the critical value of the missing genotype rate that could be tolerated during ROH detection needs to be explored first to help determine the threshold for SNP filtration.…”
Section: Discussionmentioning
confidence: 97%
“…This was caused by low performance of the imputation method at high minor allele frequencies and is consistent with a previous study (Yang et al . ). However, the parameter ‐‐het in plink controlled mainly false‐negative detection of ROH.…”
Section: Discussionmentioning
confidence: 97%
“…Missing data can be addressed with imputation [108], a statistical method that replaces missing data by estimated values [97]. Yang et al [109], using simulated data, reported that the accuracy of Beagle imputation software is 0.99 for a missing rate of 10 or 30%. Therefore, to explore further the utility of missing imputed genotypes on phylogenetic analysis, we employed missing rates of 10 or 30%.…”
Section: Discussionmentioning
confidence: 99%
“…The imputation analysis for the missing genotypes described below was performed with iblup (http://klab.sjtu.edu.cn/iBLUP/), which accounts for both the identity‐by‐descent and linkage disequilibrium information and can impute missing genotypes with greater accuracy than can other imputation methods, such as beagle (Yang et al . 2014). A total of 105 550 high‐confidence SNPs with minor allele frequencies (MAFs) ≥ 0.05 were obtained.…”
mentioning
confidence: 99%