ABSTRACT
RESEARCH QUESTION: Does a genetic condition underlie the diagnosis of primary ovarian insufficiency (POI) in a 21-year-old woman with primary amenorrhoea? DESIGN: A karyotype and genetic testing for Fragile X syndrome was undertaken. A next-generation sequencing panel of 24 genes associated with syndromal and non-syndromal POI was conducted. RESULTS: A nonsense variant c.1336G>T, p.(Glu446Ter) and whole gene deletion in STAG3 were identified. CONCLUSIONS: Biallelic loss of function variants in STAG3 are associated with primary ovarian failure type 8 and are a rare cause of POI.
Subject(s)
Cell Cycle Proteins/genetics , Mutation , Primary Ovarian Insufficiency/genetics , Amenorrhea/genetics , Codon, Nonsense/genetics , Female , Gene Deletion , High-Throughput Nucleotide Sequencing , Humans , Karyotyping , Pedigree , Puberty/genetics , Young AdultABSTRACT
Understanding the effectiveness of infection control methods in reducing and preventing SARS-CoV-2 transmission in healthcare settings is of high importance. We sequenced SARS-CoV-2 genomes for patients and healthcare workers (HCWs) across multiple geographically distinct UK hospitals, obtaining 173 high-quality SARS-CoV-2 genomes. We integrated patient movement and staff location data into the analysis of viral genome data to understand spatial and temporal dynamics of SARS-CoV-2 transmission. We identified eight patient contact clusters (PCC) with significantly increased similarity in genomic variants compared to non-clustered samples. Incorporation of HCW location further increased the number of individuals within PCCs and identified additional links in SARS-CoV-2 transmission pathways. Patients within PCCs carried viruses more genetically identical to HCWs in the same ward location. SARS-CoV-2 genome sequencing integrated with patient and HCW movement data increases identification of outbreak clusters. This dynamic approach can support infection control management strategies within the healthcare setting.
