MLPA for prenatal diagnosis of commonly occurring aneuploidies

Next generation sequencing is a highly reliable method to analyze exon 7 deletion of survival motor neuron 1 (SMN1) gene

Spinal muscular atrophy (SMA) is one of the most common and severe genetic diseases. SMA carrier screening is an effective way to identify couples at risk of having affected children. Next-generation sequencing (NGS)-based expanded carrier screening could detect SMN1 gene copy number without extra experiment and with high cost performance. However, its performance has not been fully evaluated. Here we conducted a systematic comparative study to evaluate the performance of three common methods. 478 samples were analyzed with multiplex ligation probe amplification (MLPA), real-time quantitative polymerase chain reaction (qPCR) and NGS, simultaneously. Taking MLPA-based results as the reference, for 0 copy, 1 copy and ≥ 2 copy SMN1 analysis with NGS, the sensitivity, specificity and precision were all 100%. Using qPCR method, the sensitivity was 100%, 97.52% and 94.30%, respectively; 98.63%, 95.48% and 100% for specificity; and 72.72%, 88.72% and 100% for precision. NGS repeatability was higher than that of qPCR. Moreover, among three methods, NGS had the lowest retest rate. Thus, NGS is a relatively more reliable method for SMN1 gene copy number detection. In expanded carrier screening, compared with the combination of multiple methods, NGS method could reduce the test cost and simplify the screening process.

Different unequal cross-over events between NCF1 and its pseudogenes in autosomal p47(phox)-deficient chronic granulomatous disease

Chronic granulomatous disease (CGD) is a rare congenital disorder in which phagocytes cannot generate superoxide (O2(-)) and other microbicidal oxidants due to mutations in one of the five components of the O2(-)-generating NADPH oxidase complex. The most common autosomal subtype of CGD is caused by mutations in NCF1, encoding the NADPH subunit p47(phox). Usually, these mutations are the result of unequal exchange of chromatid between NCF1 and one of its two pseudogenes. We have now investigated in detail the breakpoints within or between these (pseudo) NCF1 genes in 43 families with p47(phox)-deficient CGD by means of multiplex ligase-dependent probe amplification (MLPA). In 24 families the patients totally lacked NCF1 sequences, indicating that in these families the cross-over points are located between NCF1 and its pseudogenes. Six other families were compound heterozygous for a total NCF1 deletion and another mutation in NCF1 on the other allele. In 8 families, the patients lacked NCF1 exons 1-4 but had retained NCF1 exons 6-10, indicating that a cross-over point is located within NCF1 between exons 4 and 6. Similarly, in 4 families a cross-over point was located within NCF1 between exons 2 and 4. Similar cross-overs, in heterozygous form, were observed in family members of the patients. Several patients were compound heterozygous for total and partial NCF1 deletions. Thus, at least three different cross-over points exist within the NCF1 gene cluster, indicating that autosomal p47(phox)-deficient CGD is genetically heterogeneous but can be dissected in detail by MLPA.

Genomic microarrays: a technology overview

Genomic microarrays are now widely used diagnostically for the molecular karyotyping of patients with intellectual disability, congenital anomalies and autistic spectrum disorder and have more recently been applied for the detection of genomic imbalances in prenatal genetic diagnosis. We present an overview of the different arrays, protocols used and discuss methods of genomic array data analysis.

Array-based approaches in prenatal diagnosis

The diagnostic benefits of array comparative genomic hybridisation (CGH) have been demonstrated, with this technique now being applied as the first-line test for patients with intellectual disabilities and/or multiple congenital anomalies in numerous laboratories. There are no technical barriers preventing the introduction of array CGH to prenatal diagnosis. The question is rather how this is best implemented, and for whom. The challenges lie in the interpretation of copy number variations, particularly those which exhibit reduced penetrance or variable expression, and how to deal with incidental findings, which are not related to the observed foetal anomalies, or unclassified variants which are currently of uncertain clinical significance. Recently, applications of array technologies to the field of pre-implantation genetic diagnosis have also been demonstrated. It is important to address the ethical questions raised concerning the genome-wide analysis of prenatal samples to ensure the maximum benefit for patients. We provide an overview of the recent developments on the use of array CGH in the prenatal setting, and address the challenges posed.

Determination of sensitivity and specificity of a novel gene dosage assay for prenatal screening of trisomy 21 syndrome

OBJECTIVE

To compare the gene dosage results achieved by a novel multiplex quantitative assay with cytogenetic and quantitative fluorescent polymerase chain reaction (QF-PCR) analysis for prenatal screening of trisomy 21 syndrome on corresponding fetal samples.

DESIGN AND METHODS

Fetal samples (n=134) were collected from pregnant women considered high risk for having trisomy 21 affected fetus. Cytogenetic analysis and QF-PCR were performed. Then, the relative gene dosage of DSCAM and DYRK1A2 genes was determined on corresponding samples using comparative delta cycle of threshold (ΔC(T)) method.

RESULTS

The mean gene dosage ratio was 1.55 ± 0.11 (95% CI:1.51-1.58) in trisomy 21 cases and 1.01 ± 0.12 (95% CI:0.98-1.03) in normal samples (p value<0.001). The results were in agreement to the results of cytogenetic and QF-PCR analysis with the overall specificity of 0.96 (95% CI:0.91-0.98) and the sensitivity of 0.80 (95% CI:0.49-0.94).

CONCLUSIONS

This gene dosage assay is appropriate for the screening of high risk pregnant women and is readily amenable to automation.

Array technology in prenatal diagnosis

Array technology, here termed molecular karyotyping, is an attractive alternative to conventional karyotyping for prenatal diagnosis given the increase in resolution as well as faster report times. We review the benefits and limitations of this technique for the detection of pathogenic genomic imbalances, address the challenges raised in the interpretation of copy number variations, discuss practical considerations for the routine implementation of molecular karyotyping in prenatal diagnosis, and identify areas where more research is desired to enable large scale introduction of the technique(s).