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popSTR2 enables clinical and population-scale genotyping of microsatellites

popSTR2 enables clinical and population-scale genotyping of microsatellites


Title: popSTR2 enables clinical and population-scale genotyping of microsatellites
Author: Kristmundsdottir, Snædis
Eggertsson, Hannes P
Arnadottir, Gudny A
Halldórsson, Bjarni   orcid.org/0000-0003-0756-0767
Date: 2019-12-05
Language: English
Scope: 2269-2271
University/Institute: Reykjavík University (RU)
Háskólinn í Reykjavík (HR)
School: Tæknisvið (HR)
School of Technology (RU)
Department: Verkfræðideild (HR)
Department of Engineering (RU)
Series: Bioinformatics;36(7)
ISSN: 1367-4803
1460-2059
DOI: https://doi.org/10.1093/bioinformatics/btz913
Subject: Statistics and Probability; Computational Theory and Mathematics; Biochemistry; Molecular Biology; Computational Mathematics; Computer Science Applications; Líkindafræði; Tölfræði; Tölvunarfræði; Lífefnafræði; Sameindalíffræði
URI: https://hdl.handle.net/20.500.11815/2646

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Citation:

Kristmundsdottir, S., Eggertsson, H. P., Arnadottir, G. A. og Halldorsson, B. V. (2020). popSTR2 enables clinical and population-scale genotyping of microsatellites. Bioinformatics, 36(7), 2269–2271. https://doi.org/10.1093/bioinformatics/btz913

Abstract:

Summary: popSTR2 is an update and augmentation of our previous work ‘popSTR: a population-based microsatellite genotyper’. To make genotyping sensitive to inter-sample differences, we supply a kernel to estimate sample-specific slippage rates. For clinical sequencing purposes, a panel of known pathogenic repeat expansions is provided along with a script that scans and flags for manual inspection markers indicative of a pathogenic expansion. Like its predecessor, popSTR2 allows for joint genotyping of samples at a population scale. We now provide a binning method that makes the microsatellite genotypes more amenable to analysis within standard association pipelines and can increase association power. Availability and implementation: https://github.com/DecodeGenetics/popSTR. Contact: snaedisk@decode.is or bjarni.halldorsson@decode.is Supplementary information: Supplementary data are available at Bioinformatics online.

Rights:

VC The Author(s) 2019. Published by Oxford University Press. 2269 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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