A Novel Methodology to Recalibrate Pathogenic Range of SCA36 Repeat Expansions for PGT-M
Liu, F.
Show abstract
BackgroundSpinocerebellar ataxia-36 (SCA36) is an inherited neurodegenerative disorder caused by the heterozygous expansion of an intronic GGCCTG hexanucleotide repeat in the NOP56 gene on chromosome 20p13. Unaffected individuals typically carry 3 to 14 repeats, whereas affected individuals carry 650 to 2,500. However, based on a single study, this pathogenic range was conservatively established, limiting its extended clinical applicability such as preimplantation genetic testing (PGT). In this study, we propose a novel methodology to recalibrate the pathogenic range of SCA36 repeat expansion. MethodsWe conducted a comprehensive literature review and collected examination data from 2012 onward. We used the gamma distribution to describe the data distribution and applied Bayesian methods to update the prior distribution with data from recent publications. Based on the recalibrated distribution, the 95% confidence interval (CI) was used to determine the new lower boundary of the pathogenic range. A pedigree was collected to validate the proposal with long-read sequencing (LRS) applied to detect the high GC content and long length of repeat expansions. ResultsOur results, based on 2 studies, indicate that the data distribution is well-described by gamma distribution. The prior, likelihood and posterior distributions within the 95% CI for the integrated research of SCA36 pathogenic repeat expansions were [446, +{infty}), [124, +{infty}), and [484, +{infty}), respectively. These recalibrated pathogenic ranges were validated by an authentic case: a proband diagnosed with SCA36 carrying 418 repeats and her daughter with 499 repeats, under the detection of LRS. ConclusionsTherefore, we proposed a novel methodology that integrates updated data, 95% CI using Bayesian methods and LRS for accurate detection of repeat expansions of dynamic mutations to present an up-to-date pathogenic range of SCA36, as well as other similar diseases.
Matching journals
The top 9 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Evaluation of optical genome mapping in clinical genetic testing of facioscapulohumeral muscular dystrophy 93%
- Integrating Bioinformatics and Artificial Intelligence Methods to identify disruptive STAT1 variants impacting Protein Stability and Function 92%
- Structural variability, expression profile and pharmacogenetics properties of TMPRSS2 gene as a potential target for COVID-19 therapy 91%
Similar papers in this journal
- Prenatal Diagnosis of Fetuses with Increased Nuchal Translucency by Genome Sequencing Analysis 93%
- Localization of balanced chromosome translocation breakpoints by long-read sequencing on the Oxford Nanopore platform 91%
- Genetic landscape of rare autoinflammatory disease variants in Qatar and Middle Eastern populations through the integration of whole-genome and exome datasets 91%
Similar papers in this journal
- High Precision Characterization Of Rccx Rearrangements In A 21-Hydroxylase Deficiency Latin American Cohort Using Oxford Nanopore Long Read Sequencing 93%
- A pair of primers facing at the double-strand break site enables to detect NHEJ-mediated indel mutations at a 1-bp resolution 93%
- Genetic profiling of Vietnamese population from large-scale genomic analysis of non-invasive prenatal testing data 93%
Similar papers in this journal
- Improved detection of SBDS gene mutation by a new method of next-generation sequencing analysis based on the Chinese mutation spectrum 95%
- Differences in splicing defects between the grey and white matter in myotonic dystrophy type 1 93%
- New genes involved in Angelman syndrome-like: expanding the genetic spectrum 93%
Similar papers in this journal
- Molecular genetics of GLUT1DS Italian pediatric cohort: 10 novel related-disease variants and structural analysis 92%
- Long-range PCR-based NGS applications to diagnose Mendelian retinal diseases 91%
- Identification of ATP2B4 regulatory element containing functional genetic variants associated with severe malaria 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.