Publications by authors named "D Bunyan"

Article Synopsis
  • RNA sequencing (RNA-seq) is being used to enhance diagnostics in cases where DNA testing doesn't provide clear answers, particularly for detecting abnormal gene expression and splicing patterns.
  • The study analyzed blood samples from 86 patients with suspected genetic disorders, focusing on identifying splicing abnormalities and gene expression outliers in VUSs and undiagnosed cases.
  • The results showed that RNA-seq helped diagnose four new cases by revealing novel splicing events and provided insights into the utility of RNA analysis for improving diagnostic outcomes in genetic disorders.
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Variants which disrupt splicing are a frequent cause of rare disease that have been under-ascertained clinically. Accurate and efficient methods to predict a variant's impact on splicing are needed to interpret the growing number of variants of unknown significance (VUS) identified by exome and genome sequencing. Here, we present the results of the CAGI6 Splicing VUS challenge, which invited predictions of the splicing impact of 56 variants ascertained clinically and functionally validated to determine splicing impact.

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Transcription of SHOX is dependent upon the interaction of the gene with a complex array of flanking regulatory elements. Duplications that contain flanking regulatory elements but not the SHOX gene have been reported in individuals with SHOX haploinsufficiency syndromes, suggesting that alterations to the physical organisation or genomic architecture may affect SHOX transcription. Individuals with tall stature and an additional X or Y chromosome have an extra copy of both the SHOX gene and the entire SHOX regulatory region, so all three copies of SHOX can be expressed fully.

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Background: Approximately 1 in 1000 men have a 47,XYY karyotype. Previous publications have presented cases of infertile XYY men and have suggested that the additional Y chromosome may cause disrupted meiosis leading to sperm apoptosis. The purpose of the current study was to determine whether XYY men are over-represented in infertility cohorts.

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