Whole‐exome sequencing (WES) is increasingly applied to research and clinical diagnosis of human diseases. It typically results in large amounts of genetic variations. Depending on the mode of inheritance, only one or two correspond to pathogenic mutations responsible for the disease and present in affected individuals. Therefore, it is crucial to filter out nonpathogenic variants and limit downstream analysis to a handful of candidate mutations. We have developed a new computational combinatorial system UMD‐Predictor (http://umd‐predictor.eu) to efficiently annotate cDNA substitutions of all human transcripts for their potential pathogenicity. It combines biochemical properties, impact on splicing signals, localization in protein domains, variation frequency in the global population, and conservation through the BLOSUM62 global substitution matrix and a protein‐specific conservation among 100 species. We compared its accuracy with the seven most used and reliable prediction tools, using the largest reference variation datasets including more than 140,000 annotated variations. This system consistently demonstrated a better accuracy, specificity, Matthews correlation coefficient, diagnostic odds ratio, speed, and provided the shortest list of candidate mutations for WES. Webservices allow its implementation in any bioinformatics pipeline for next‐generation sequencing analysis. It could benefit to a wide range of users and applications varying from gene discovery to clinical diagnosis.

Despite the rapid discovery of genes for rare genetic disorders, we continue to encounter individuals presenting with syndromic manifestations. Here, we have studied four affected people in three families presenting with cholestasis, congenital diarrhea, impaired hearing, and bone fragility. Whole-exome sequencing of all affected individuals and their parents identified biallelic mutations in Unc-45 Myosin Chaperone A (UNC45A) as a likely driver for this disorder. Subsequent in vitro and in vivo functional studies of the candidate gene indicated a loss-of-function paradigm, wherein mutations attenuated or abolished protein activity with concomitant defects in gut development and function.

By family-based screening, first Fuchs and then many other authors showed that mutations in THAP1 (THAP [thanatos-associated protein] domain-containing, apoptosis-associated protein 1) account for a substantial proportion of familial, early-onset, nonfocal, primary dystonia cases (DYT6 dystonia). THAP1 is the first transcriptional factor involved in primary dystonia and the hypothesis of a transcriptional deregulation, which was primarily proposed for the X-linked dystonia-parkinsonism (DYT3 dystonia), provided thus a new way to investigate the possible mechanism underlying the development of dystonic movements. Currently, 56 families present with a THAP1 mutation; however, no genotype/phenotype relationship has been found. Therefore, we carried out a systematic review of the literature on the THAP1 gene to colligate all reported patients with a specific THAP1 mutation and the associated clinical signs in order to describe the broad phenotypic continuum of this disorder. To facilitate the comparison of the identified mutations, we created a Locus-Specific Database (UMD-THAP1 LSDB) available at http://www.umd.be/THAP1/. Currently, the database lists 56 probands and 43 relatives with the associated clinical phenotype when available. The identification of a larger number of THAP1 mutations and collection of high-quality clinical information for each described mutation through international collaborative effort will help investigating the structure-function and genotype-phenotype correlations in DYT6 dystonia.