Mutation analysis and clinical profile of South African patients with Neurofibromatosis type 1 (NF1) phenotype.

Neurofibromatosis type 1 (NF1) is an autosomal dominant genetic condition with complete age-dependent penetrance, variable expressivity and a global prevalence of ∼1/3,000. It is characteriszed by numerous café-au-lait macules, skin freckling in the inguinal or axillary regions, Lisch nodules of the iris, optic gliomas, neurofibromas, and tumour predisposition. The diagnostic testing strategy for NF1 includes testing for DNA single nucleotide variants (SNVs), copy number variants (CNVs) as well as RNA analysis for deep intronic and splice variants, which can cumulatively identify the causative variant in 95% of patients. In the present study, NF1 patients were screened using a next-generation sequencing (NGS) assay targeting NF1 exons and intron/exon boundaries for SNV and NF1 multiple ligation-dependent probe amplification (MLPA) analysis for CNV detection. Twenty-six unrelated Southern African patients clinically suspected of having NF1, based on the clinical diagnostic criteria developed by the National Institute of Health (NIH), were included in the current study. A detection rate of 58% (15/26) was obtained, with SNVs identified in 80% (12/15) using a targeted gene panel and NF1 gene deletion in 20% (3/15) identified using MLPA. Ten patients (38%) had no variants identified, although they met NF1 diagnostic criteria. One VUS was identified in this study in a patient that met NF1 diagnostic criteria, however there was no sufficient information to classify variant as pathogenic. The clinical features of Southern African patients with NF1 are similar to that of the known NF1 phenotype, with the exception of a lower frequency of plexiform neurofibromas and a higher frequency of developmental/intellectual disability compared to other cohorts. This is the first clinical and molecular characterisation of a Southern African ancestry NF1 cohort using both next-generation sequencing and MLPA analysis. A significant number of patients remained without a diagnosis following DNA-level testing. The current study offers a potential molecular testing strategy for our low resource environment that could benefit a significant proportion of patients who previously only received a clinical diagnosis without molecular confirmation.

A feasible molecular diagnostic strategy for rare genetic disorders within resource-constrained environments.

Timely and accurate diagnosis of rare genetic disorders is critical, as it enables improved patient management and prognosis. In a resource-constrained environment such as the South African State healthcare system, the challenge is to design appropriate and cost-effective assays that will enable accurate genetic diagnostic services in patients of African ancestry across a broad disease spectrum. Next-generation sequencing (NGS) has transformed testing approaches for many Mendelian disorders, but this technology is still relatively new in our setting and requires cost-effective ways to implement. As a proof of concept, we describe a feasible diagnostic strategy for genetic disorders frequently seen in our genetics clinics (RASopathies, Cornelia de Lange syndrome, Treacher Collins syndrome, and CHARGE syndrome). The custom-designed targeted NGS gene panel enabled concurrent variant screening for these disorders. Samples were batched during sequencing and analyzed selectively based on the clinical phenotype. The strategy employed in the current study was cost-effective, with sequencing and analysis done at USD849.68 per sample and achieving an overall detection rate of 54.5%. The strategy employed is cost-effective as it allows batching of samples from patients with different diseases in a single run, an approach that can be utilized with rare and less frequently ordered molecular diagnostic tests. The subsequent selective analysis pipeline allowed for timeous reporting back of patients results. This is feasible with a reasonable yield and can be employed for the molecular diagnosis of a wide range of rare monogenic disorders in a resource-constrained environment.

Mutation profiling in South African patients with Cornelia de Lange syndrome phenotype.

BACKGROUND: Cornelia de Lange Syndrome (CdLS) presents with a variable multi-systemic phenotype and pathogenic variants have been identified in five main genes. This condition has been understudied in African populations with little phenotypic and molecular information available. METHODS AND RESULTS: We present a cohort of 14 patients with clinical features suggestive of CdLS. Clinical phenotyping was carried out and cases were classified according to the international consensus criteria. According to this criteria, nine patients had classical CdLS, one had non-classical CdLS and four presented with a phenotype that suggested molecular testing for CdLS. Each patient underwent mutation profiling using a targeted next generation sequencing panel of 18 genes comprising known and suspected CdLS causal genes. Of the 14 patients tested, pathogenic and likely pathogenic variants were identified in nine: eight variants in the NIPBL gene and one in the STAG1 gene. CONCLUSIONS: We present the first molecular data for a cohort of South African patients with CdLS. Eight of the nine variants identified were in the NIPBL gene, the most commonly involved gene in cases of CdLS. This is also the first report of a patient of African ancestry presenting with STAG1-related CdLS.

QF-PCR: a valuable first-line prenatal and postnatal test for common aneuploidies in South Africa.

Quantitative fluorescence-polymerase chain reaction (QF-PCR) is useful for the detection of aneuploidies involving chromosomes 13, 18, 21, X and Y. Due to the rapid turn-around time and reduced cost compared to traditional karyotyping, QF-PCR has been used as an alternative test for both pre- and postnatal aneuploidy detection in Johannesburg, South Africa since 2001. An internal review of 13,396 aneuploidy tests processed using QF-PCR between January 2015 and December 2019 was performed, and the results showed that the majority (~ 88%) of cases were postnatal tests, with prenatal samples accounting for only ~ 12% of cases. The most common aneuploidies detected were Trisomy 21 (20.6%), Trisomy 18 (3.7%) and Trisomy 13 (2.4%), while sex chromosome aneuploidies were only detected in < 1% of cases. The average percentage of positive cases over the 5-year period was 32.1% for postnatal samples and 11.3% for prenatal samples. QF-PCR testing of the common aneuploidies is being used appropriately, and the high percentage of positive cases demonstrates the value of QF-PCR as prenatal and postnatal tests, particularly in limited resource settings. The higher proportion of positive postnatal cases suggests that referrals are clinically appropriate. However, there is under- and uneven utilization of genetic services in many provinces in South Africa, and the state of prenatal genetic services is poor, as reflected by the low number of prenatal referrals. These results demonstrate the need for programs which will improve the genetic knowledge of referring doctors and the general public, thereby improving the broader utilisation of QF-PCR aneuploidy diagnostic testing, so that patients receive appropriate diagnoses and subsequent management.