Performance of a cell-free DNA prenatal screening test, choice of prenatal procedure, and chromosome conditions identified during pregnancy after low-risk cell-free DNA screening.

OBJECTIVES: To evaluate the performance of cell-free DNA (cfDNA) screening for common fetal aneuploidies, choice of prenatal procedure, and chromosome conditions identified during pregnancy after low-risk cfDNA screening. METHOD: A single-center prenatal cfDNA screening test was employed to detect trisomies 21, 18, and 13 (T21, T18, T13) and sex chromosome aneuploidies (SCAs). Test performance, choice of prenatal procedure, and cytogenetic results in pregnancies with low-risk cfDNA screening were reviewed. RESULTS: CfDNA screening of 38,289 consecutive samples identified 720 (1.9%) pregnancies at increased risk for aneuploidy. Positive predictive values (PPVs) for high-risk singleton pregnancies were 98.5% (T21), 92.5% (T18) and 55.2% (T13). PPVs for SCAs ranged from 30.6% to 95.2%. Most women elected chorionic villus sampling for prenatal diagnosis of T21, T18 and T13; amniocentesis and/or postnatal testing were commonly chosen for SCAs. Cytogenetic tests from 616 screen-negative pregnancies identified 64 cases (12.7%) with chromosome conditions not detected by cfDNA screening, including triploidy (n = 30) and pathogenic and likely pathogenic copy number variants (n = 34). A further 15 (0.04%) false-negative common aneuploidy results were identified. CONCLUSIONS: CfDNA screening was highly accurate for detecting fetal aneuploidy in this general-risk obstetric population. Fetal ultrasound and prenatal diagnostic testing were important in identifying chromosome conditions in pregnancies screened as low-risk.

Early diagnosis of Pearson syndrome in neonatal intensive care following rapid mitochondrial genome sequencing in tandem with exome sequencing.

Rapid genomic testing is a valuable new diagnostic tool for acutely unwell infants, however exome sequencing does not deliver clinical-grade mitochondrial genome sequencing and may fail to diagnose mitochondrial disorders caused by mitochondrial DNA (mtDNA) variants. Rapid mitochondrial genome sequencing and analysis are not routinely available in rapid genomic diagnosis programmes. We present two critically ill neonates with transfusion-dependent anaemia and persistent lactic acidosis who underwent rapid mitochondrial genome sequencing in tandem with exome sequencing as part of an exome sequencing-based rapid genomic diagnosis programme. No diagnostic variants were identified on examination of the nuclear exome data for either infant. Mitochondrial genome sequencing identified a large mtDNA deletion in both infants, diagnosing Pearson syndrome within 74 and 55 h, respectively. Early diagnosis in the third week of life allowed the avoidance of a range of other investigations and appropriate treatment planning. Rapid mitochondrial genome analysis provides additional diagnostic and clinical utility and should be considered as an adjunct to exome sequencing in rapid genomic diagnosis programmes.

Clinical Utility of Real-Time Targeted Molecular Profiling in the Clinical Management of Ovarian Cancer: The ALLOCATE Study.

PURPOSE: The ALLOCATE study was designed as a pilot to demonstrate the feasibility and clinical utility of real-time targeted molecular profiling of patients with recurrent or advanced ovarian cancer for identification of potential targeted therapies. PATIENTS AND METHODS: A total of 113 patients with ovarian cancer of varying histologies were recruited from two tertiary hospitals, with 99 patient cases suitable for prospective analysis. Targeted molecular and methylation profiling of fresh biopsy and archived tumor samples were performed by screening for mutations or copy-number variations in 44 genes and for promoter methylation of BRCA1 and RAD51C. RESULTS: Somatic genomic or methylation events were identified in 85% of all patient cases, with potentially actionable events with defined targeted therapies (including four resistance events) detected in 60% of all patient cases. On the basis of these findings, six patients received molecularly guided therapy, three patients had unsuspected germline cancer-associated BRCA1/2 mutations and were referred for genetic counseling, and two intermediate differentiated (grade 2) serous ovarian carcinomas were reclassified as low grade, leading to changes in clinical management. Additionally, secondary reversion mutations in BRCA1/2 were identified in fresh biopsy samples of two patients, consistent with clinical platinum/poly (ADP-ribose) polymerase inhibitor resistance. Timely reporting of results if molecular testing is done at disease recurrence, as well as early referral for patients with platinum-resistant cancers, were identified as factors that could improve the clinical utility of molecular profiling. CONCLUSION: ALLOCATE molecular profiling identified known genomic and methylation alterations of the different ovarian cancer subtypes and was deemed feasible and useful in routine clinical practice. Better patient selection and access to a wider range of targeted therapies or clinical trials will further enhance the clinical utility of molecular profiling.

High-Throughput Amplicon-Based Copy Number Detection of 11 Genes in Formalin-Fixed Paraffin-Embedded Ovarian Tumour Samples by MLPA-Seq.

Whilst next generation sequencing can report point mutations in fixed tissue tumour samples reliably, the accurate determination of copy number is more challenging. The conventional Multiplex Ligation-dependent Probe Amplification (MLPA) assay is an effective tool for measurement of gene dosage, but is restricted to around 50 targets due to size resolution of the MLPA probes. By switching from a size-resolved format, to a sequence-resolved format we developed a scalable, high-throughput, quantitative assay. MLPA-seq is capable of detecting deletions, duplications, and amplifications in as little as 5ng of genomic DNA, including from formalin-fixed paraffin-embedded (FFPE) tumour samples. We show that this method can detect BRCA1, BRCA2, ERBB2 and CCNE1 copy number changes in DNA extracted from snap-frozen and FFPE tumour tissue, with 100% sensitivity and >99.5% specificity.

AmpliVar: mutation detection in high-throughput sequence from amplicon-based libraries.

Conventional means of identifying variants in high-throughput sequencing align each read against a reference sequence, and then call variants at each position. Here, we demonstrate an orthogonal means of identifying sequence variation by grouping the reads as amplicons prior to any alignment. We used AmpliVar to make key-value hashes of sequence reads and group reads as individual amplicons using a table of flanking sequences. Low-abundance reads were removed according to a selectable threshold, and reads above this threshold were aligned as groups, rather than as individual reads, permitting the use of sensitive alignment tools. We show that this approach is more sensitive, more specific, and more computationally efficient than comparable methods for the analysis of amplicon-based high-throughput sequencing data. The method can be extended to enable alignment-free confirmation of variants seen in hybridization capture target-enrichment data.