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AutoMap is a high performance homozygosity mapping tool using next-generation sequencing data

Quinodoz, Mathieu and Peter, Virginie G. and Bedoni, Nicola and Royer Bertrand, Béryl and Cisarova, Katarina and Salmaninejad, Arash and Sepahi, Neda and Rodrigues, Raquel and Piran, Mehran and Mojarrad, Majid and Pasdar, Alireza and Ghanbari Asad, Ali and Sousa, Ana Berta and Coutinho Santos, Luisa and Superti-Furga, Andrea and Rivolta, Carlo. (2021) AutoMap is a high performance homozygosity mapping tool using next-generation sequencing data. Nature Communications, 12 (1). p. 518.

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Official URL: https://edoc.unibas.ch/81884/

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Abstract

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.
Faculties and Departments:03 Faculty of Medicine
09 Associated Institutions > Institute of Molecular and Clinical Ophthalmology Basel (IOB)
09 Associated Institutions > Institute of Molecular and Clinical Ophthalmology Basel (IOB) > Research Group Rivolta IOB
UniBasel Contributors:Rivolta, Carlo
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Nature Publishing Group
e-ISSN:2041-1723
Note:Publication type according to Uni Basel Research Database: Journal article
Language:English
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Last Modified:17 Mar 2021 12:21
Deposited On:17 Mar 2021 12:21

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