mvPPT: A Highly Efficient and Sensitive Pathogenicity Prediction Tool for Missense Variants.

Next-generation sequencing technologies both boost the discovery of variants in the human genome and exacerbate the challenges of pathogenic variant identification. In this study, we developed Pathogenicity Prediction Tool for missense variants (mvPPT), a highly sensitive and accurate missense variant classifier based on gradient boosting. mvPPT adopts high-confidence training sets with a wide spectrum of variant profiles, and extracts three categories of features, including scores from existing prediction tools, frequencies (allele frequencies, amino acid frequencies, and genotype frequencies), and genomic context. Compared with established predictors, mvPPT achieves superior performance in all test sets, regardless of data source. In addition, our study also provides guidance for training set and feature selection strategies, as well as reveals highly relevant features, which may further provide biological insights into variant pathogenicity. mvPPT is freely available at http://www.mvppt.club/.

TMEM151A Variants Cause Paroxysmal Kinesigenic Dyskinesia: A Large-Sample Study.

BACKGROUND: Paroxysmal kinesigenic dyskinesia (PKD) is the most common type of paroxysmal dyskinesias. Only one-third of PKD patients are attributed to proline-rich transmembrane protein 2 (PRRT2) mutations. OBJECTIVE: We aimed to explore the potential causative gene for PKD. METHODS: A cohort of 196 PRRT2-negative PKD probands were enrolled for whole-exome sequencing (WES). Gene Ranking, Identification and Prediction Tool, a method of case-control analysis, was applied to identify the candidate genes. Another 325 PRRT2-negative PKD probands were subsequently screened with Sanger sequencing. RESULTS: Transmembrane Protein 151 (TMEM151A) variants were mainly clustered in PKD patients compared with the control groups. 24 heterozygous variants were detected in 25 of 521 probands (frequency = 4.80%), including 18 missense and 6 nonsense mutations. In 29 patients with TMEM151A variants, the ratio of male to female was 2.63:1 and the mean age of onset was 12.93 ± 3.15 years. Compared with PRRT2 mutation carriers, TMEM151A-related PKD were more common in sporadic PKD patients with pure phenotype. There was no significant difference in types of attack and treatment outcome between TMEM151A-positive and PRRT2-positive groups. CONCLUSIONS: We consolidated mutations in TMEM151A causing PKD with the aid of case-control analysis of a large-scale WES data, which broadens the genotypic spectrum of PKD. TMEM151A-related PKD were more common in sporadic cases and tended to present as pure phenotype with a late onset. Extensive functional studies are needed to enhance our understanding of the pathogenesis of TMEM151A-related PKD. © 2021 International Parkinson and Movement Disorder Society.

Alteration of gene expression profiling including GPR174 and GNG2 is associated with vasovagal syncope.

Vasovagal syncope (VVS) causes accidental harm for susceptible patients. However, pathophysiology of this disorder remains largely unknown. In an effort to understanding of molecular mechanism for VVS, genome-wide gene expression profiling analyses were performed on VVS patients at syncope state. A total of 66 Type 1 VVS child patients and the same number healthy controls were enrolled in this study. Peripheral blood RNAs were isolated from all subjects, of which 10 RNA samples were randomly selected from each groups for gene expression profile analysis using Gene ST 1.0 arrays (Affymetrix). The results revealed that 103 genes were differently expressed between the patients and controls. Significantly, two G-proteins related genes, GPR174 and GNG2 that have not been related to VVS were among the differently expressed genes. The microarray results were confirmed by qRT-PCR in all the tested individuals. Ingenuity pathway analysis and gene ontology annotation study showed that the differently expressed genes are associated with stress response and apoptosis, suggesting that the alteration of some gene expression including G-proteins related genes is associated with VVS. This study provides new insight into the molecular mechanism of VVS and would be helpful to further identify new molecular biomarkers for the disease.

Application of high-resolution melting for genotyping bovine mitochondrial DNA.

Recent studies have demonstrated that mitochondrial DNA (mtDNA) haplotype has a significant impact on the efficiency of bovine somatic cell nuclear transfer. Conventional methods for detecting mtDNA variations and haplotypes, such as restriction fragment length polymorphism (RFLP), temporal temperature gradient gel electrophoresis, dHPLC and sequencing, are labor intensive or expensive and have low sensitivity. High-resolution melting (HRM) analysis is a new technique for mutation detection and has the advantages of speed, cost, and accuracy. Here, we describe the genotyping of bovine mtDNA using HRM analysis. DNA samples containing mtDNA were extracted from 75 Holstein cows and subjected to rapid-cycle (<20 min) PCR of small amplicons (<120 bp) using specific primer sets. Capillaries containing the PCR products were then subjected to HRM analysis; data were acquired in 2 min and analyzed using the instrument's software. Five common bovine mtDNA single nucleotide polymorphisms were identified: 9602 G>A, 169 A>G, 166A>G with 173A>G, and 363C>G. These results agree with both sequencing and RFLP analysis. In addition, a very small amount of heteroplasmic variants (<5%) was sufficiently to be distinguished by HRM analysis that would be very useful to differentiate heteroplasmy vs. homoplasmy. HRM analysis thus provides a new approach to genotyping bovine mtDNA sequence variations and has many advantages over other methods, including speed of analysis, cost, and accuracy. We believe this will be a valuable technique for determining the efficiency of nuclear transfer in cloned embryos and for studying maternal effects on nuclear-cytoplasm interactions.