https://search.dev.ndltd.org/etd/ottawa-retro/oai:ruor.uottawa.ca:10393/30318
type: CreativeWork
name: Development and Validation of Quantitative PCR Assays for DNA-Based Newborn Screening of 22q11.2 Deletion Syndrome, Spinal Muscular Atrophy, Severe Combined Immunodeficiency and Congenital Cytomegalovirus Infection
description: The development of new high throughput technologies able to multiplex disease biomarkers as well as advances in medical treatments has lead to the recent expansion of the newborn screening panel to include DNA-based targets. Four rare disorders; deletion 22q11.2 syndrome and Spinal Muscular Atrophy (SMA), Severe Combined Immunodeficiency (SCID) and Congenital Cytomegalovirus (CMV), are potential candidates for inclusion to the newborn screening panel within the next few years. The major focus of this study was to determine whether 5’-hydrolysis assays developed for the four distinct disorders with specific detection needs and analytical ranges could be combined on the OpenArray system and in multiplexed qPCR reactions. SNP detection of homozygous SMN1 deletions in SMA, CNV detection in the 22q11.2 critical region, and quantification of the SCID biomarker, T-cell receptor excision circles (TRECs) and CMV were all required for disease confirmation. SMA and 22q11.2 gene deletions were accurately detected using the OpenArray system, a first for the technology. The medium density deletion 22q11.2 multiplex successfully identified deletion carriers having either the larger 3 Mb deletion or the smaller 1.5 Mb deletions. Both TREC and CMV targets were detected but with a decrease in sensitivity when compared to their singleplex counterparts. Lastly, copy number detection of the TBX1 was performed when multiplexed with the TREC assay, without a decrease in detection limit of either assay. Here, we provide proof of principal that qPCR multiplexing technologies are amenable to implementation with a newborn screening laboratory.
abstract: The development of new high throughput technologies able to multiplex disease biomarkers as well as advances in medical treatments has lead to the recent expansion of the newborn screening panel to include DNA-based targets. Four rare disorders; deletion 22q11.2 syndrome and Spinal Muscular Atrophy (SMA), Severe Combined Immunodeficiency (SCID) and Congenital Cytomegalovirus (CMV), are potential candidates for inclusion to the newborn screening panel within the next few years. The major focus of this study was to determine whether 5’-hydrolysis assays developed for the four distinct disorders with specific detection needs and analytical ranges could be combined on the OpenArray system and in multiplexed qPCR reactions. SNP detection of homozygous SMN1 deletions in SMA, CNV detection in the 22q11.2 critical region, and quantification of the SCID biomarker, T-cell receptor excision circles (TRECs) and CMV were all required for disease confirmation. SMA and 22q11.2 gene deletions were accurately detected using the OpenArray system, a first for the technology. The medium density deletion 22q11.2 multiplex successfully identified deletion carriers having either the larger 3 Mb deletion or the smaller 1.5 Mb deletions. Both TREC and CMV targets were detected but with a decrease in sensitivity when compared to their singleplex counterparts. Lastly, copy number detection of the TBX1 was performed when multiplexed with the TREC assay, without a decrease in detection limit of either assay. Here, we provide proof of principal that qPCR multiplexing technologies are amenable to implementation with a newborn screening laboratory.
author: Theriault, Mylene A.
language: en
keywords: 22q11.2 deletion syndrome, spinal muscular atrophy, severe combined immunodeficiency, congenital cytomegalovirus, qPCR, TaqMan, relative quantification, copy number variation, T-cell receptor excision circle, newborn screening, OpenArray, multiplex, TBX1, CRKL, UFD1L, COMT, HIRA, UL54, UL55, US17, dried blood spot, contiguous gene deletion, SMN1, SMN2
date published: 2013-12-13T15:44:52Z
date modified: 2026-07-24T03:39:34Z
provider: University of Ottawa
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: Université d'Ottawa / University of Ottawa

PropertyValue
property ID: Handle
value: http://hdl.handle.net/10393/30318

PropertyValue
property ID: DOI
value: 10.20381/ruor-6500