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STRling: a k-mer counting approach that detects short tandem repeat expansions at known and novel loci

Expansions of short tandem repeats (STRs) cause many rare diseases. Expansion detection is challenging with short-read DNA sequencing data since supporting reads are often mapped incorrectly. Detection is particularly difficult for “novel” STRs, which include new motifs at known loci or STRs absent...

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Detalles Bibliográficos
Autores principales: Dashnow, Harriet, Pedersen, Brent S., Hiatt, Laurel, Brown, Joe, Beecroft, Sarah J., Ravenscroft, Gianina, LaCroix, Amy J., Lamont, Phillipa, Roxburgh, Richard H., Rodrigues, Miriam J., Davis, Mark, Mefford, Heather C., Laing, Nigel G., Quinlan, Aaron R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9753380/
https://www.ncbi.nlm.nih.gov/pubmed/36517892
http://dx.doi.org/10.1186/s13059-022-02826-4
Descripción
Sumario:Expansions of short tandem repeats (STRs) cause many rare diseases. Expansion detection is challenging with short-read DNA sequencing data since supporting reads are often mapped incorrectly. Detection is particularly difficult for “novel” STRs, which include new motifs at known loci or STRs absent from the reference genome. We developed STRling to efficiently count k-mers to recover informative reads and call expansions at known and novel STR loci. STRling is sensitive to known STR disease loci, has a low false discovery rate, and resolves novel STR expansions to base-pair position accuracy. It is fast, scalable, open-source, and available at: github.com/quinlan-lab/STRling. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-022-02826-4.