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dc.contributor.authorRos Freixedes, Roger
dc.contributor.authorBattagin, Mara
dc.contributor.authorJohnsson, Martin
dc.contributor.authorGorjanc, Gregor
dc.contributor.authorMileham, Alan J.
dc.contributor.authorRounsley, Steve D.
dc.contributor.authorHickey, John M.
dc.date.accessioned2020-02-03T08:25:03Z
dc.date.available2020-02-03T08:25:03Z
dc.date.issued2018-12-13
dc.identifier.issn0999-193X
dc.identifier.urihttp://hdl.handle.net/10459.1/67919
dc.description.abstractBackground: Inherent sources of error and bias that affect the quality of sequence data include index hopping and bias towards the reference allele. The impact of these artefacts is likely greater for low-coverage data than for high- coverage data because low-coverage data has scant information and many standard tools for processing sequence data were designed for high-coverage data. With the proliferation of cost-effective low-coverage sequencing, there is a need to understand the impact of these errors and bias on resulting genotype calls from low-coverage sequencing. Results: We used a dataset of 26 pigs sequenced both at 2× with multiplexing and at 30× without multiplexing to show that index hopping and bias towards the reference allele due to alignment had little impact on genotype calls. However, pruning of alternative haplotypes supported by a number of reads below a predefined threshold, which is a default and desired step of some variant callers for removing potential sequencing errors in high-coverage data, introduced an unexpected bias towards the reference allele when applied to low-coverage sequence data. This bias reduced best-guess genotype concordance of low-coverage sequence data by 19.0 absolute percentage points. Conclusions: We propose a simple pipeline to correct the preferential bias towards the reference allele that can occur during variant discovery and we recommend that users of low-coverage sequence data be wary of unexpected biases that may be produced by bioinformatic tools that were designed for high-coverage sequence data.
dc.description.sponsorshipThe authors acknowledge the financial support from the BBSRC ISPG to The Roslin Institute BBS/E/D/30002275, from Genus plc, Innovate UK (Grant 102271), and from grant numbers BB/N004736/1, BB/N015339/1, BB/L020467/1, and BB/M009254/1. M. Johnsson acknowledges financial support from the Swedish Research Council Formas Dnr 2016-01386.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherBMC (part of Springer Nature)
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1186/s12711-018-0436-4
dc.relation.ispartofGenetics Selection Evolution, 2018, vol. 50, article number 64
dc.rightscc-by (c) Ros Freixedes, Roger et al., 2018
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleImpact of index hopping and bias towards the reference allele on accuracy of genotype calls from low-coverage sequencing
dc.typeinfo:eu-repo/semantics/article
dc.date.updated2020-02-03T08:25:03Z
dc.identifier.idgrec029236
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.identifier.doihttps://doi.org/10.1186/s12711-018-0436-4


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cc-by (c) Ros Freixedes, Roger et al., 2018
Except where otherwise noted, this item's license is described as cc-by (c) Ros Freixedes, Roger et al., 2018