stuart: an R package for the curation of SNP genotypes from experimental crosses

Author:

Bourdon Marie1ORCID,Montagutelli Xavier1ORCID

Affiliation:

1. Mouse Genetics Laboratory, Institut Pasteur, Université Paris Cité , F-75015 Paris, France

Abstract

Abstract Genetic mapping in 2-generation crosses requires genotyping, usually performed with single nucleotide polymorphism markers arrays which provide high-density genetic information. However, genetic analysis on raw genotypes can lead to spurious or unreliable results due to defective single nucleotide polymorphism assays or wrong genotype interpretation. Here, we introduce stuart, an open-source R package, which analyzes raw genotyping data to filter single nucleotide polymorphism markers based on informativeness, Mendelian inheritance pattern, and consistency with parental genotypes. The functions of this package provide a curation pipeline and formatting adequate for genetic analysis with the R/qtl package. stuart is available with detailed documentation from https://gitlab.pasteur.fr/mouselab/stuart/.

Funder

French Government's Investissement d'Avenir programme

Integrative Biology of Emerging Infectious Diseases

Publisher

Oxford University Press (OUP)

Subject

Genetics (clinical),Genetics,Molecular Biology

Reference18 articles.

1. Review of statistical methods for QTL mapping in experimental crosses;Broman;Lab Anim (NY),2001

2. R/qtl2: software for mapping quantitative trait loci with high-dimensional data and multiparent populations;Broman;Genetics,2019

3. R/qtl: QTL mapping in experimental crosses;Broman;Bioinformatics,2003

4. Detection of Mendelian consistent genotyping errors in pedigrees: detection of genotyping errors;Cheung;Genet Epidemiol,2014

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