AgileMultiIdeogram: Rapid Identification and Visualization of Autozygous Regions Using Illumina Short-Read Sequencing Data

Rare autosomal recessive diseases are a major cause of mortality and morbidity. They occur more frequently in individuals with consanguineous parents, in which case the pathogenic variants are often located within regions of genetic identity by descent. A well-established and effective way of identi...

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Main Authors: Christopher M. Watson, Carolina Lascelles, Morag Raynor, Marilena Elpidorou, Ummey Hany, Laura Crinnion, Colin A. Johnson, Eamonn Sheridan, Alexander F. Markham, James A. Poulter, David T. Bonthron, Ian M. Carr
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Language:English
Published: MDPI AG 2025-06-01
Series:Biology
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Online Access:https://www.mdpi.com/2079-7737/14/6/666
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author Christopher M. Watson
Carolina Lascelles
Morag Raynor
Marilena Elpidorou
Ummey Hany
Laura Crinnion
Colin A. Johnson
Eamonn Sheridan
Alexander F. Markham
James A. Poulter
David T. Bonthron
Ian M. Carr
author_facet Christopher M. Watson
Carolina Lascelles
Morag Raynor
Marilena Elpidorou
Ummey Hany
Laura Crinnion
Colin A. Johnson
Eamonn Sheridan
Alexander F. Markham
James A. Poulter
David T. Bonthron
Ian M. Carr
author_sort Christopher M. Watson
collection DOAJ
description Rare autosomal recessive diseases are a major cause of mortality and morbidity. They occur more frequently in individuals with consanguineous parents, in which case the pathogenic variants are often located within regions of genetic identity by descent. A well-established and effective way of identifying these “autozygous” genomic regions has been to search for runs of homozygous genotypes in microarray SNP data. However, with the widespread use of whole-genome and exome sequencing in both diagnostic and research settings, it has become desirable to be able to both map autozygous regions and identify the deleterious variants using a single dataset. We have developed AgileMultiIdeogram, an application that can identify and visualize autozygous regions in inbred individuals using exome data as well as microarray SNP genotype data. This application has been successfully used in both research and diagnostic settings to map pathogenic mutations.
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institution Kabale University
issn 2079-7737
language English
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publisher MDPI AG
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series Biology
spelling doaj-art-9fef71f80ef24022bbe7150a441333e62025-08-20T03:27:17ZengMDPI AGBiology2079-77372025-06-0114666610.3390/biology14060666AgileMultiIdeogram: Rapid Identification and Visualization of Autozygous Regions Using Illumina Short-Read Sequencing DataChristopher M. Watson0Carolina Lascelles1Morag Raynor2Marilena Elpidorou3Ummey Hany4Laura Crinnion5Colin A. Johnson6Eamonn Sheridan7Alexander F. Markham8James A. Poulter9David T. Bonthron10Ian M. Carr11North East and Yorkshire Genomic Laboratory Hub, St James’s University Hospital, Leeds LS9 7TF, UKSchool of Medicine, University of Leeds, St James’s University Hospital, West Yorkshire, Leeds LS9 7TF, UKSchool of Medicine, University of Leeds, St James’s University Hospital, West Yorkshire, Leeds LS9 7TF, UKSchool of Medicine, University of Leeds, St James’s University Hospital, West Yorkshire, Leeds LS9 7TF, UKSchool of Medicine, University of Leeds, St James’s University Hospital, West Yorkshire, Leeds LS9 7TF, UKNorth East and Yorkshire Genomic Laboratory Hub, St James’s University Hospital, Leeds LS9 7TF, UKSchool of Medicine, University of Leeds, St James’s University Hospital, West Yorkshire, Leeds LS9 7TF, UKSchool of Medicine, University of Leeds, St James’s University Hospital, West Yorkshire, Leeds LS9 7TF, UKSchool of Medicine, University of Leeds, St James’s University Hospital, West Yorkshire, Leeds LS9 7TF, UKSchool of Medicine, University of Leeds, St James’s University Hospital, West Yorkshire, Leeds LS9 7TF, UKSchool of Medicine, University of Leeds, St James’s University Hospital, West Yorkshire, Leeds LS9 7TF, UKSchool of Medicine, University of Leeds, St James’s University Hospital, West Yorkshire, Leeds LS9 7TF, UKRare autosomal recessive diseases are a major cause of mortality and morbidity. They occur more frequently in individuals with consanguineous parents, in which case the pathogenic variants are often located within regions of genetic identity by descent. A well-established and effective way of identifying these “autozygous” genomic regions has been to search for runs of homozygous genotypes in microarray SNP data. However, with the widespread use of whole-genome and exome sequencing in both diagnostic and research settings, it has become desirable to be able to both map autozygous regions and identify the deleterious variants using a single dataset. We have developed AgileMultiIdeogram, an application that can identify and visualize autozygous regions in inbred individuals using exome data as well as microarray SNP genotype data. This application has been successfully used in both research and diagnostic settings to map pathogenic mutations.https://www.mdpi.com/2079-7737/14/6/666rare recessive diseasenext-generation sequencingautozygosity mapping
spellingShingle Christopher M. Watson
Carolina Lascelles
Morag Raynor
Marilena Elpidorou
Ummey Hany
Laura Crinnion
Colin A. Johnson
Eamonn Sheridan
Alexander F. Markham
James A. Poulter
David T. Bonthron
Ian M. Carr
AgileMultiIdeogram: Rapid Identification and Visualization of Autozygous Regions Using Illumina Short-Read Sequencing Data
Biology
rare recessive disease
next-generation sequencing
autozygosity mapping
title AgileMultiIdeogram: Rapid Identification and Visualization of Autozygous Regions Using Illumina Short-Read Sequencing Data
title_full AgileMultiIdeogram: Rapid Identification and Visualization of Autozygous Regions Using Illumina Short-Read Sequencing Data
title_fullStr AgileMultiIdeogram: Rapid Identification and Visualization of Autozygous Regions Using Illumina Short-Read Sequencing Data
title_full_unstemmed AgileMultiIdeogram: Rapid Identification and Visualization of Autozygous Regions Using Illumina Short-Read Sequencing Data
title_short AgileMultiIdeogram: Rapid Identification and Visualization of Autozygous Regions Using Illumina Short-Read Sequencing Data
title_sort agilemultiideogram rapid identification and visualization of autozygous regions using illumina short read sequencing data
topic rare recessive disease
next-generation sequencing
autozygosity mapping
url https://www.mdpi.com/2079-7737/14/6/666
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