Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/20906
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dc.contributor.authorTankard, Rick M-
dc.contributor.authorBennett, Mark F-
dc.contributor.authorDegorski, Peter-
dc.contributor.authorDelatycki, Martin B-
dc.contributor.authorLockhart, Paul J-
dc.contributor.authorBahlo, Melanie-
dc.date2018-11-29-
dc.date.accessioned2019-06-05T01:28:49Z-
dc.date.available2019-06-05T01:28:49Z-
dc.date.issued2018-12-06-
dc.identifier.citationAmerican journal of human genetics 2018; 103(6): 858-873-
dc.identifier.urihttp://ahro.austin.org.au/austinjspui/handle/1/20906-
dc.description.abstractRepeat expansions cause more than 30 inherited disorders, predominantly neurogenetic. These can present with overlapping clinical phenotypes, making molecular diagnosis challenging. Single-gene or small-panel PCR-based methods can help to identify the precise genetic cause, but they can be slow and costly and often yield no result. Researchers are increasingly performing genomic analysis via whole-exome and whole-genome sequencing (WES and WGS) to diagnose genetic disorders. However, until recently, analysis protocols could not identify repeat expansions in these datasets. We developed exSTRa (expanded short tandem repeat algorithm), a method that uses either WES or WGS to identify repeat expansions. Performance of exSTRa was assessed in a simulation study. In addition, four retrospective cohorts of individuals with eleven different known repeat-expansion disorders were analyzed with exSTRa. We assessed results by comparing the findings to known disease status. Performance was also compared to three other analysis methods (ExpansionHunter, STRetch, and TREDPARSE), which were developed specifically for WGS data. Expansions in the assessed STR loci were successfully identified in WES and WGS datasets by all four methods with high specificity and sensitivity. Overall, exSTRa demonstrated more robust and superior performance for WES data than did the other three methods. We demonstrate that exSTRa can be effectively utilized as a screening tool for detecting repeat expansions in WES and WGS data, although the best performance would be produced by consensus calling, wherein at least two out of the four currently available screening methods call an expansion.-
dc.language.isoeng-
dc.subjectnext-generation sequencing-
dc.subjectrepeat-expansion disorders-
dc.subjectshort tandem repeats-
dc.subjectwhole-exome sequencing-
dc.subjectwhole-genome sequencing-
dc.titleDetecting Expansions of Tandem Repeats in Cohorts Sequenced with Short-Read Sequencing Data.-
dc.typeJournal Article-
dc.identifier.journaltitleAmerican journal of human genetics-
dc.identifier.affiliationPopulation Health and Immunity Division, the Walter and Eliza Hall Institute of Medical Research, Parkville 3052, Victoria, Australia-
dc.identifier.affiliationBruce Lefroy Centre for Genetic Health Research, Murdoch Children's Research Institute, Royal Children's Hospital, Parkville 3052, Victoria, Australiaen
dc.identifier.affiliationDepartment of Medical Biology, The University of Melbourne, Melbourne 3010, Victoria, Australia-
dc.identifier.affiliationVictorian Clinical Genetics Services, Parkville 3052, Victoria, Australiaen
dc.identifier.affiliationMathematics and Statistics, Murdoch University, Murdoch 6150, WA, Australia-
dc.identifier.affiliationDepartment of Paediatrics, University of Melbourne, Parkville 3058, Victoria, Australia-
dc.identifier.affiliationEpilepsy Research Centre, Department of Medicine, Austin Health, The University of Melbourne, Heidelberg, Victoria, Australia-
dc.identifier.doi10.1016/j.ajhg.2018.10.015-
dc.identifier.pubmedid30503517-
dc.type.austinJournal Article-
dc.type.austinResearch Support, Non-U.S. Gov't-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeJournal Article-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
crisitem.author.deptClinical Genetics-
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