BACKGROUNDPontocerebellar hypoplasia type 1 (PCH1) is characterized by a central and peripheral motor dysfunction associated with anterior horn cell degeneration, similar to spinal muscular atrophy ...(SMA). OBJECTIVESWe analysed three probands (later discovered to be siblings) suspected to have severe SMA, however, not confirmed by genetic test. METHODSClinical-exome analysis (Illumina) was performed to identify causative variants, followed by Sanger sequencing confirmation in probands and other 10 family members. RESULTSHomozygous pathogenic variant c.92G>C (p.(Gly31Ala)) in the Exosome Component 3 (EXOSC3) gene was found in all 3 probands, thus confirming the diagnosis of a severe form of PCH1B. The parents and six siblings were carriers, while one sibling was homozygous for a reference allele. This variant is frequent in the Czech Roma population, where it is considered a founder mutation. Haplotype analysis in this largest reported PCH1B family showed that our patients inherited from their father (of Roma origin) a haplotype identical to that found in the Czech Roma population, thus indicating these alleles have a common origin. CONCLUSIONThis EXOSC3 variant is rare among the general population but most likely frequent also among Roma people in Slovakia. PCH1B should be considered for a differential diagnosis in infants manifesting SMA-like phenotype, especially if of Roma origin (Tab. 1, Fig. 1, Ref. 22). Text in PDF www.elis.sk Keywords: pontocerebellar hypoplasia, PCH1B, EXOSC3, SMA plus syndromes, pathogenic sequence variant.
Background
Spinal muscular atrophy (SMA) is an inherited neuromuscular disease affecting 1 in 8,000 newborns. The majority of patients carry bi‐allelic variants in the survival of motor neuron 1 gene ...(SMN1). SMN1 is located in a duplicated region on chromosome 5q13 that contains Alu elements and is predisposed to genomic rearrangements. Due to the genomic complexity of the SMN region and genetic heterogeneity, approximately 50% of SMA patients remain without genetic diagnosis that is a prerequisite for genetic treatments. In this work we describe the diagnostic odyssey of one SMA patient in whom routine diagnostics identified only a maternal heterozygous SMN1Δ(7–8) deletion.
Methods
We characterized SMN transcripts, assessed SMN protein content in peripheral blood mononuclear cells (PBMC), estimated SMN genes dosage, and mapped genomic rearrangement in the SMN region.
Results
We identified an Alu‐mediated deletion encompassing exons 2a‐5 of SMN1 on the paternal allele and a complete deletion of SMN1 on the maternal allele as the cause of SMA in this patient.
Conclusion
Alu‐mediated rearrangements in SMN1 can escape routine diagnostic testing. Parallel analysis of SMN gene dosage, SMN transcripts, and total SMN protein levels in PBMC can identify genomic rearrangements and should be considered in genetically undefined SMA cases.
Spinal muscular atrophy (SMA) is devastating inherited neuromuscular disease resulting from variants of SMN1 and deficiency of the survival motor neuron protein (SMN). In this work, we describe the diagnostic odyssey for one SMA patient in whom routine diagnostic procedures identified only a heterozygous, maternally inherited deletion of exons 7 and 8 in SMN1. Using an individual approach we found in this case that SMA was caused by a novel Alu‐mediated deletion.
•Each laboratory should evaluate used pipelines for detecting genomic variants.•The necessity of variant confirmation depends on specific threshold settings.•Data re-analysis may be helpful in case ...of updated pipelines and reference genomes.•Lower stringency of variant calling with manual check may enhance variant discovery.•Microsatellite loci should be genotyped independently using dedicated tools.
Although massively parallel sequencing (MPS) is becoming common practice in both research and routine clinical care, confirmation requirements of identified DNA variants using alternative methods are still topics of debate. When evaluating variants directly from MPS data, different read depth statistics, together with specialized genotype quality scores are, therefore, of high relevance. Here we report results of our validation study performed in two different ways: 1) confirmation of MPS identified variants using Sanger sequencing; and 2) simultaneous Sanger and MPS analysis of exons of selected genes. Detailed examination of false-positive and false-negative findings revealed typical error sources connected to low read depth/coverage, incomplete reference genome, indel realignment problems, as well as microsatellite associated amplification errors leading to base miss-calling. However, all these error types were identifiable with thorough manual revision of aligned reads according to specific patterns of distributions of variants and their corresponding reads. Moreover, our results point to dependence of both basic quantitative metrics (such as total read counts, alternative allele read counts and allelic balance) together with specific genotype quality scores on the used bioinformatics pipeline, stressing thus the need for establishing of specific thresholds for these metrics in each laboratory and for each involved pipeline independently.
Objectives The aims of this study were to test the utility of benchtop NGS platforms for NIPT for trisomy 21 using previously published z score calculation methods and to optimize the sample ...preparation and data analysis with use of in silico and physical size selection methods. Methods Samples from 130 pregnant women were analyzed by whole genome sequencing on benchtop NGS systems Ion Torrent PGM and MiSeq. The targeted yield of 3 million raw reads on each platform was used for z score calculation. The impact of in silico and physical size selection on analytical performance of the test was studied. Results Using a z score value of 3 as the cut-off, 98.11% - 100% (104-106/106) specificity and 100% (24/24) sensitivity and 99.06% - 100% (105-106/106) specificity and 100% (24/24) sensitivity were observed for Ion Torrent PGM and MiSeq, respectively. After in silico based size selection both platforms reached 100% specificity and sensitivity. Following the physical size selection z scores of tested trisomic samples increased significantly-p = 0.0141 and p = 0.025 for Ion Torrent PGM and MiSeq, respectively. Conclusions Noninvasive prenatal testing for chromosome 21 trisomy with the utilization of benchtop NGS systems led to results equivalent to previously published studies performed on high-to-ultrahigh throughput NGS systems. The in silico size selection led to higher specificity of the test. Physical size selection performed on isolated DNA led to significant increase in z scores. The observed results could represent a basis for increasing of cost effectiveness of the test and thus help with its penetration worldwide.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
PDF
