| Literature DB >> 33483490 |
Mathieu Quinodoz1,2,3, Virginie G Peter1,2,3,4, Nicola Bedoni5, Béryl Royer Bertrand5, Katarina Cisarova5, Arash Salmaninejad6, Neda Sepahi7, Raquel Rodrigues8, Mehran Piran7,9, Majid Mojarrad6, Alireza Pasdar6,10, Ali Ghanbari Asad7, Ana Berta Sousa8,11, Luisa Coutinho Santos12, Andrea Superti-Furga5, Carlo Rivolta13,14,15.
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.Entities:
Year: 2021 PMID: 33483490 PMCID: PMC7822856 DOI: 10.1038/s41467-020-20584-4
Source DB: PubMed Journal: Nat Commun ISSN: 2041-1723 Impact factor: 14.919