Genome ResearchBioinformaticsPeer-reviewed journal article
Haplocheck: Phylogeny-based Contamination Detection in Mitochondrial and Whole-Genome Sequencing Studies
Hansi WeißensteineriD, Lukas ForeriD, Liane FendtiD, Azin KheirkhahiD, Antonio SalasiD, Florian KronenbergiD, Sebastian SchönherriD
Abstract
Within-species contamination is a major issue in sequencing studies, especially for mitochondrial studies. Contamination can be detected by analysing the nuclear genome or by inspecting the heteroplasmic sites in the mitochondrial genome. Existing methods using the nuclear genome are computationally expensive, and no suitable tool for detecting contamination in large-scale mitochondrial datasets is available. Here we present haplocheck, a tool that requires only the mitochondrial genome to detect contamination in both mitochondrial and whole-genome sequencing studies. Haplocheck is able to distinguish between contaminated and real heteroplasmic sites using the mitochondrial phylogeny. By applying haplocheck to the 1000 Genomes Project data, we show (1) high concordance in contamination estimates between mitochondrial and nuclear DNA and (2) quantify the impact of mitochondrial copy numbers on the mitochondrial based contamination results. Haplocheck complements leading nuclear DNA based contamination tools, and can therefore be used as a proxy tool in nuclear genome studies. Haplocheck is available both as a command-line tool at https://github.com/genepi/haplocheck and as a cloud web-service producing interactive reports that facilitates the navigation through the phylogeny of contaminated samples.
- organism: human
- assay: whole-genome sequencing
- assay: DNA methylation
- research focus: variant calling
- research focus: variant effect prediction
- research focus: benchmarking
- research focus: database / resource
- approach: statistical model
- Citations
- 102
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