ArticleJournal of human genetics2017
Imputation approach for deducing a complete mitogenome sequence from low-depth-coverage next-generation sequencing data: application to ancient remains from the Moon Pyramid, Mexico.
Article in Journal of human genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Missing data in bioarchaeology II: A test of ordinal and continuous data imputation.American journal of biological anthropology · 2022Article
- Recovery of mitogenomes from whole genome sequences to infer maternal diversity in 1883 modern taurine and indicine cattle.Scientific reports · 2022Article
- Article
- Species Diversity and Phylogenetic Relationships of Olive Lace Bugs (Hemiptera: Tingidae) Found in South Africa.Insects · 2021Article
- Review
- MitoIMP: A Computational Framework for Imputation of Missing Data in Low-Coverage Human Mitochondrial Genome.Bioinformatics and biology insights · 2019Article
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Authors and funding
7 authors.
Funding
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Abstract
It is considered that more than 15 depths of coverage are necessary for next-generation sequencing (NGS) data to obtain reliable complete nucleotide sequences of the mitogenome. However, it is difficult to satisfy this requirement for all nucleotide positions because of problems obtaining a uniform depth of coverage for poorly preserved materials. Thus, we propose an imputation approach that allows a complete mitogenome sequence to be deduced from low-depth-coverage NGS data. We used different types of mitogenome data files as panels for imputation: a worldwide panel comprising all the major haplogroups, a worldwide panel comprising sequences belonging to the estimated haplogroup alone, a panel comprising sequences from the population most closely related to an individual under investigation, and a panel comprising sequences belonging to the estimated haplogroup from the population most closely related to an individual under investigation. The number of missing nucleotides was drastically reduced in all the panels, but the contents obtained by imputation were quite different among the panels. The efficiency of the imputation method differed according to the panels used. The missing nucleotides were most credibly imputed using sequences of the estimated haplogroup from the population most closely related to the individual under investigation as a panel.
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