popSTR2 enables clinical and population-scale genotyping of microsatellites

Author:

Kristmundsdottir Snædis12,Eggertsson Hannes P1,Arnadottir Gudny A2,Halldorsson Bjarni V12

Affiliation:

1. deCODE genetics/Amgen, Reykjavík 102, Iceland

2. School of Science and Engineering, Reykjavík University, Reykjavík 102, Iceland

Abstract

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. Supplementary information Supplementary data are available at Bioinformatics online.

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference20 articles.

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