ImprintSeq, a novel tool to interrogate DNA methylation at human imprinted regions and diagnose multilocus imprinting disturbance
Year: 2021
Type: article
Abstract: PURPOSE: Disruptions of genomic imprinting are associated with congenital imprinting disorders (CIDs) and other disease states, including cancer. CIDs are most often associated with altered methylation at imprinted differentially methylated regions (iDMRs). In some cases, multiple iDMRs are affected causing multilocus imprinting disturbances (MLIDs). The availability of accurate, quantitative, and scalable high-throughput methods to interrogate multiple iDMRs simultaneously would enhance clinical diagnostics and research. METHODS: We report the development of a custom targeted methylation sequencing panel that covered most relevant 63 iDMRs for CIDs and the detection of MLIDs. We tested it in 70 healthy controls and 147 individuals with CIDs. We distinguished loss and gain of methylation per differentially methylated region and classified high and moderate methylation alterations. RESULTS: Across a range of CIDs with a variety of molecular mechanisms, ImprintSeq performed at 98.4% sensitivity, 99.9% specificity, and 99.9% accuracy (when compared with previous diagnostic testing). ImprintSeq was highly sensitive for detecting MLIDs and enabled diagnostic criteria for MLID to be proposed. In a child with extreme MLID profile a probable genetic cause was identified. CONCLUSION: ImprintSeq provides a novel assay for clinical diagnostic and research studies of CIDs, MLIDs, and the role of disordered imprinting in human disease states.
Source: Genetics in Medicine
Institutions: University of Cambridge, Birmingham Children's Hospital, Birmingham Women’s and Children’s NHS Foundation Trust, University of Birmingham, Wellcome/MRC Institute of Metabolic Science, MRC Epidemiology Unit, Birmingham Women's Hospital, St Mark's Hospital, University of the Basque Country, BioCruces Health research Institute, Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas, Centre for Biomedical Network Research on Rare Diseases, The Alan Turing Institute, MRC Biostatistics Unit, Cambridge University Hospitals NHS Foundation Trust
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $3,900
OpenAlex ID: W4200567820
