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1.
Clin Chem ; 69(8): 890-900, 2023 08 02.
Article in English | MEDLINE | ID: mdl-37443404

ABSTRACT

BACKGROUND: Newborn screening (NBS) is an effective public health intervention that reduces death and disability from treatable genetic diseases, but many conditions are not screened due to a lack of a suitable assay. Whole genome and whole exome sequencing can potentially expand NBS but there remain many technical challenges preventing their use in population NBS. We investigated if targeted gene sequencing (TGS) is a feasible methodology for expanding NBS. METHODS: We constructed a TGS panel of 164 genes which screens for a broad range of inherited conditions. We designed a high-volume, low-turnaround laboratory and bioinformatics workflow that avoids the technical and data interpretation challenges associated with whole genome and whole exome sequencing. A methods-based analytical validation of the assay was completed and test performance in 2552 newborns examined. We calculated annual birth estimates for each condition to assess cost-effectiveness. RESULTS: Assay analytical sensitivity was >99% and specificity was 100%. Of the newborns screened, 1.3% tested positive for a condition. On average, each individual had 225 variants to interpret and 1.8% were variants of uncertain significance (VUS). The turnaround time was 7 to 10 days. Maximum batch size was 1536 samples. CONCLUSIONS: We demonstrate that a TGS assay could be incorporated into an NBS program soon to increase the number of conditions screened. Additionally, we conclude that NBS using TGS may be cost-effective.


Subject(s)
Computational Biology , Neonatal Screening , Infant, Newborn , Humans , Neonatal Screening/methods , Feasibility Studies , DNA , Sequence Analysis, DNA
2.
Front Genet ; 14: 1095600, 2023.
Article in English | MEDLINE | ID: mdl-36713073

ABSTRACT

Newborn screening (NBS) assays for spinal muscular atrophy (SMA) typically use a polymerase chain reaction (PCR) based assay to identify individuals with homozygous deletion in exon 7 of the SMN1 gene. Due to high DNA sequence homology between SMN1 and SMN2, it has previously been difficult to accurately bioinformatically map short reads from next-generation DNA sequencing (NGS) to SMN1, resulting in low analytical performance and preventing NGS being used for SMA screening. Advances in bioinformatics have allowed NGS to be used in diagnostic settings, but to date these assays have not reached the scale required for high volume population newborn screening and have not been performed on the dried blood spot samples that NBS programs currently use. Here we integrate an NGS assay using hybridisation-based capture with a customised bioinformatics algorithm and purpose designed high throughput reporting software into an existing NBS program to achieve a laboratory workflow for population SMA screening. We tested the NGS assay on over 2500 newborns born over 2 weeks in a NBS program in a technical feasibility study and show high sensitivity and specificity. Our results suggest NGS may be an alternate method for SMA screening by NBS programs, providing a multiplex testing platform on which potentially hundreds of inherited conditions could be simultaneously tested.

3.
Prenat Diagn ; 43(1): 109-116, 2023 01.
Article in English | MEDLINE | ID: mdl-36484552

ABSTRACT

OBJECTIVE: European and Australian guidelines for cystic fibrosis (CF) reproductive carrier screening recommend testing a small number of high frequency CF causing variants, rather than comprehensive CFTR sequencing. The study objective was to determine variant detection rates of commercially available targeted reproductive carrier screening tests in Australia. METHODS: Next-generation DNA sequencing of the CFTR gene was performed on 2552 individuals from a whole population sample to identify CF causing variants. The variant detection rates of two commercially available Australian reproductive carrier screening tests, which target 50 or 175 CF causing variants, in this population were calculated. The ethnicity of individuals was determined using principal component analysis. RESULTS: Variant detection rates of the tests for 50 and 175 CF causing variants were 88.2% and 90.8%, respectively. No CF causing variants in individuals of East Asian ethnicity (n = 3) were detected by either test, while >86.6% (n = 69) of CF causing variants in Europeans would be identified by either test. CONCLUSIONS: Reproductive carrier screening tests for a targeted set of high frequency CF variants are unable to detect approximately 10% of CF variants in a multiethnic Australian population, and individuals of East Asian ethnicity are disproportionally affected by this test limitation.


Subject(s)
Cystic Fibrosis , Humans , Cystic Fibrosis/diagnosis , Cystic Fibrosis/epidemiology , Cystic Fibrosis/genetics , Cystic Fibrosis Transmembrane Conductance Regulator/genetics , Australia/epidemiology , Genetic Testing , Ethnicity , Mutation
4.
J Mol Diagn ; 19(4): 602-612, 2017 07.
Article in English | MEDLINE | ID: mdl-28502726

ABSTRACT

The sensitivity and specificity of next-generation sequencing laboratory developed tests (LDTs) are typically determined by an analyte-specific approach. Analyte-specific validations use disease-specific controls to assess an LDT's ability to detect known pathogenic variants. Alternatively, a methods-based approach can be used for LDT technical validations. Methods-focused validations do not use disease-specific controls but use benchmark reference DNA that contains known variants (benign, variants of unknown significance, and pathogenic) to assess variant calling accuracy of a next-generation sequencing workflow. Recently, four whole-genome reference materials (RMs) from the National Institute of Standards and Technology (NIST) were released to standardize methods-based validations of next-generation sequencing panels across laboratories. We provide a practical method for using NIST RMs to validate multigene panels. We analyzed the utility of RMs in validating a novel newborn screening test that targets 70 genes, called NEO1. Despite the NIST RM variant truth set originating from multiple sequencing platforms, replicates, and library types, we discovered a 5.2% false-negative variant detection rate in the RM truth set genes that were assessed in our validation. We developed a strategy using complementary non-RM controls to demonstrate 99.6% sensitivity of the NEO1 test in detecting variants. Our findings have implications for laboratories or proficiency testing organizations using whole-genome NIST RMs for testing.


Subject(s)
Genome, Human , High-Throughput Nucleotide Sequencing/methods , Multigene Family , DNA Copy Number Variations , Gene Deletion , Genetic Variation , High-Throughput Nucleotide Sequencing/standards , Humans , Infant, Newborn , Infant, Newborn, Diseases/genetics , Mutagenesis, Insertional , Polymorphism, Single Nucleotide , Reference Standards , Validation Studies as Topic
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