2019
DOI: 10.1177/1177932219873884
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MitoIMP: A Computational Framework for Imputation of Missing Data in Low-Coverage Human Mitochondrial Genome

Abstract: The incompleteness of partial human mitochondrial genome sequences makes it difficult to perform relevant comparisons among multiple resources. To deal with this issue, we propose a computational framework for deducing missing nucleotides in the human mitochondrial genome. We applied it to worldwide mitochondrial haplogroup lineages and assessed its performance. Our approach can deduce the missing nucleotides with a precision of 0.99 or higher in most human mitochondrial DNA lineages. Furthermore, although low… Show more

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Cited by 6 publications
(5 citation statements)
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“…This would then provide a complete and large mitogenome reference population to use for imputation of animals with lower density MT SNP panel genotypes up to MT sequence genotypes. In the current study, the accuracy of imputation of sporadic missing genotypes (99.8%) was comparable to results in humans that used tools specifically for imputation of the mitochondrial genome such as MitoIMP 87 . This indicates that existing tools may be applied to mitochondrial genome imputation with customization.…”
Section: Discussionsupporting
confidence: 58%
“…This would then provide a complete and large mitogenome reference population to use for imputation of animals with lower density MT SNP panel genotypes up to MT sequence genotypes. In the current study, the accuracy of imputation of sporadic missing genotypes (99.8%) was comparable to results in humans that used tools specifically for imputation of the mitochondrial genome such as MitoIMP 87 . This indicates that existing tools may be applied to mitochondrial genome imputation with customization.…”
Section: Discussionsupporting
confidence: 58%
“…To minimize the effects of nucleotide mis-incorporations on building a consensus mitogenome sequence, the first two bases on each end of the read were clipped with BamUtil ver. 1.0.14 37 according to our previous bioinformatics procedure 38 Deamination is considerably repaired by using PreCR Repair Mix, but even if it is repaired, it is difficult to completely repair it. Because the damage still remains, both ends are clipped.…”
Section: Methodsmentioning
confidence: 99%
“…To minimize the effects of nucleotide mis-incorporations on building a consensus mtDNA sequence, the first two bases on each end of the read were clipped with BamUtil ver. 1.0.14 21 according to our previous bioinformatics procedure 22 . Then, reads with a significant hit (E-value < = 1e − 15) to non-human genomes (e.g., fungal or bacterial genomes) were identified by BLASTN and then were also filtered out.…”
Section: Methodsmentioning
confidence: 99%