Please use this identifier to cite or link to this item: http://ahro.austin.org.au/austinjspui/handle/1/20906
Title: Detecting Expansions of Tandem Repeats in Cohorts Sequenced with Short-Read Sequencing Data.
Authors: Tankard, Rick M;Bennett, Mark F;Degorski, Peter;Delatycki, Martin B;Lockhart, Paul J;Bahlo, Melanie
Affiliation: Population Health and Immunity Division, the Walter and Eliza Hall Institute of Medical Research, Parkville 3052, VIC, Australia
Victorian Clinical Genetics Services, Parkville 3052, VIC, Australia
Department of Medical Biology, The University of Melbourne, Melbourne 3010, VIC, Australia
Bruce Lefroy Centre for Genetic Health Research, Murdoch Children's Research Institute, Royal Children's Hospital, Parkville 3052, VIC, Australia
Mathematics and Statistics, Murdoch University, Murdoch 6150, WA, Australia
Department of Paediatrics, University of Melbourne, Parkville 3058, VIC, Australia
Epilepsy Research Centre, Department of Medicine, Austin Health, The University of Melbourne, Heidelberg, Victoria, Australia
Issue Date: 6-Dec-2018
EDate: 2018-11-29
Citation: American journal of human genetics 2018; 103(6): 858-873
Abstract: Repeat 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.
URI: http://ahro.austin.org.au/austinjspui/handle/1/20906
DOI: 10.1016/j.ajhg.2018.10.015
PubMed URL: 30503517
Type: Journal Article
Research Support, Non-U.S. Gov't
Subjects: next-generation sequencing
repeat-expansion disorders
short tandem repeats
whole-exome sequencing
whole-genome sequencing
Appears in Collections:Journal articles

Files in This Item:
There are no files associated with this item.


Items in AHRO are protected by copyright, with all rights reserved, unless otherwise indicated.