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AutoMap is a high performance homozygosity mapping tool using next-generation sequencing data
- Source :
- Nature communications, vol. 12, no. 1, pp. 518, Repositório Científico de Acesso Aberto de Portugal, Repositório Científico de Acesso Aberto de Portugal (RCAAP), instacron:RCAAP, Nature Communications, Nature Communications, Vol 12, Iss 1, Pp 1-7 (2021)
- Publication Year :
- 2021
-
Abstract
- © The Author(s) 2021. Open AccessThis article is licensed under a Creative CommonsAttribution 4.0 International License, which permits use, sharing,adaptation, distribution and reproduction in any medium or format, as long as you giveappropriate credit to the original author(s) and the source, provide a link to the CreativeCommons license, and indicate if changes were made. The images or other third partymaterial in this article are included in the article’s Creative Commons license, unlessindicated otherwise in a credit line to the material. If material is not included in thearticle’s Creative Commons license and your intended use is not permitted by statutoryregulation or exceeds the permitted use, you will need to obtain permission directly fromthe copyright holder. To view a copy of this license, visithttp://creativecommons.org/licenses/by/4.0/.<br />Homozygosity mapping is a powerful method for identifying mutations in patients with recessive conditions, especially in consanguineous families or isolated populations. Historically, it has been used in conjunction with genotypes from highly polymorphic markers, such as DNA microsatellites or common SNPs. Traditional software performs rather poorly with data from Whole Exome Sequencing (WES) and Whole Genome Sequencing (WGS), which are now extensively used in medical genetics. We develop AutoMap, a tool that is both web-based or downloadable, to allow performing homozygosity mapping directly on VCF (Variant Call Format) calls from WES or WGS projects. Following a training step on WES data from 26 consanguineous families and a validation procedure on a matched cohort, our method shows higher overall performances when compared with eight existing tools. Most importantly, when tested on real cases with negative molecular diagnosis from an internal set, AutoMap detects three gene-disease and multiple variant-disease associations that were previously unrecognized, projecting clear benefits for both molecular diagnosis and research activities in medical genetics.
- Subjects :
- 0301 basic medicine
medicine.medical_specialty
Genotype
Computer science
Bioinformatics
Science
General Physics and Astronomy
Computational biology
Chromosome Mapping/methods
Computational Biology/methods
Genetic Predisposition to Disease/genetics
Genome, Human/genetics
High-Throughput Nucleotide Sequencing/methods
Homozygote
Humans
Internet
Mutation
Polymorphism, Single Nucleotide
Reproducibility of Results
Software
Whole Exome Sequencing/methods
030105 genetics & heredity
General Biochemistry, Genetics and Molecular Biology
DNA sequencing
Article
03 medical and health sciences
Consanguinity
Exome Sequencing
medicine
Genetic Predisposition to Disease
Exome sequencing
Whole genome sequencing
Variant Call Format
Multidisciplinary
Genome, Human
Chromosome Mapping
Computational Biology
High-Throughput Nucleotide Sequencing
General Chemistry
Genomics
Disease gene identification
Human genetics
030104 developmental biology
Next-generation sequencing
Medical genetics
Microsatellite
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Nature communications, vol. 12, no. 1, pp. 518, Repositório Científico de Acesso Aberto de Portugal, Repositório Científico de Acesso Aberto de Portugal (RCAAP), instacron:RCAAP, Nature Communications, Nature Communications, Vol 12, Iss 1, Pp 1-7 (2021)
- Accession number :
- edsair.doi.dedup.....e2a2c3b02407893cc63692f43ede378f