{Reference Type}: Journal Article
{Title}: A new genetic diagnosis strategy for paroxysmal kinesigenic dyskinesia: Targeted high-throughput detection of PRRT2 gene c.649 locus.
{Author}: Wen M;Huang H;Huang F;Xu R;Zhang J;Fan JG;Zeng J;Jiang KW;Liu D;Huang HL;He QN;
{Journal}: Mol Genet Genomic Med
{Volume}: 12
{Issue}: 5
{Year}: 2024 May
{Factor}: 2.473
{DOI}: 10.1002/mgg3.2469
{Abstract}: BACKGROUND: Paroxysmal kinesigenic dyskinesia (PKD) is the most prevalent kind type of paroxysmal Dyskinesia, characterized by recurrent and transient episodes of involuntary movements. Most PKD cases were attributed to the proline-rich transmembrane protein 2 (PRRT2) gene, in which the c.649 region is a hotspot for known mutations. Even though some patients with PKD have been genetically diagnosed using whole-exome sequencing (WES) and Sanger sequencing, there are still cases of missed diagnoses due to the limitations of sequencing technology and analytic methods on throughput.
METHODS: Patients meeting the diagnosis criteria of PKD with negative results of PRRT2-Sanger sequencing and WES were included in this study. Mutation screening and targeted high-throughput sequencing were performed to analyze and verify the sequencing results of the potential mutations.
RESULTS: Six patients with PKD with high mutation ratios of c.649dupC were screened using our targeted high-throughput sequencing from 26 PKD patients with negative results of PRRT2-Sanger sequencing and WES (frequency = 23.1%), which compensated for the comparatively shallow sequencing depth and statistical flaws in this region. Compared with the local normal population and other patients with PKD, the mutation ratios of c.649dupC of these six patients with PKD were much higher and also had truncated protein structures and differentially altered mRNA expression.
CONCLUSIONS: Based on the above studies, we emphasize the routine targeted high-throughput sequencing of the c.649 site in the PRRT2 gene in so-called genetic-testing-negative patients with PKD, and manually calculate the deletion and duplication mutations depth and ratios to lower the rate of clinical misdiagnosis.