Genetic advances in skeletal disorders: an overview

Genetic skeletal disorders (GSDs) are a large group of rare heterogeneous disorders characterized by abnormal development, remodeling, and growth of the human skeleton's cartilage and bones. GSDs have a high spectrum of phenotypes that range from disproportionate short stature (dwarfism) in childhood to osteoarthritis in old age. According to the latest nosology classification of skeletal dysplasias, 461 disorders under 42 groups are classified according to specific radiographic, clinical, and molecular standards. In addition, correct molecular diagnosis for these rare GSDs is important for genetic and psychological counseling and treatment. GSDs are also associated with many syndromic forms that affect other parts such as hearing, vision, neurological, pulmonary, renal, or cardiac function. This review highlights the importance of GSDs and details a few selected disorders and their management strategies. [JBCGenetics 2023; 6(1.000): 57-69

A novel homozygous FAM92A gene (CIBAR1) variant further confirms its association with non-syndromic postaxial polydactyly type A9 (PAPA9)

Polydactyly is a very common digit anomaly, having extra digits in hands and/or toes. Non-syndromic polydactyly in both autosomal dominant and autosomal recessive forms are caused by disease-causing variants in several genes, including GLI1, GLI3, ZNF141, FAM92A, IQCE, KIAA0825, MIPOL1, STKLD1, PITX1, and DACH1. Whole exome sequencing (WES) followed by bi-directional Sanger sequencing was performed for the single affected individual (II-1) of the family to reveal the disease causative variant/gene. 3D protein modeling and structural molecular docking was performed to determine the effect of the identified mutation on the overall protein structure. WES revealed a novel biallelic missense variant (c.472G\u3eC; p.Ala158Pro) in exon 6 of the FAM92A gene. The identified variant segregated perfectly with the disease phenotype using Sanger sequencing. Furthermore, Insilco analysis revealed that the variant significantly changes the protein secondary structure, and substantially impact the stability of FAM92A. We report the second FAM92A disease-causing mutation associated with recessive non-syndromic postaxial polydactyly. The data further confirms the contribution of FAM92A in limb development and patterning

Uncovering the genetic basis of hyperphosphatasia with impaired intellectual development syndrome type 2: identification of a novel biallelic nonsense mutation in PIGO gene

Background: Glycosylphosphatidylinositol (GPI) is a glycolipid containing phosphatidylinositol related to the protein surfaces by covalent attachment. Inherited GPI deficiencies have various phenotypic chrematistics, which range from intellectual disability to dysmorphic features, epilepsy, and other severe anomalies. Methods: Molecular diagnosis was performed using whole exome sequencing (WES) followed by Sanger sequencing. Results: WES revealed a novel homozygous nonsense variant (c.250C>T; p.Gln84Ter) in the exon 2 of the phosphatidylinositol glycan anchor biosynthesis class Ogene that might explain the disease phenotype in the patient. Conclusion: This study will help in proper genetic counselling of the family and help in genotype-phenotype correlation in the future. [JBCGenetics 2023; 6(1.000): 22-28

Novel variants in the LRP4 underlying Cenani-Lenz Syndactyly syndrome

10.1038/s10038-021-00995-xJOURNAL OF HUMAN GENETICS675253-25

JASPAR 2022: the 9th release of the open-acess database of transcription factor binding profiles

Abstract JASPAR (http://jaspar.genereg.net/) is an open-access database containing manually curated, non-redundant transcription factor (TF) binding profiles for TFs across six taxonomic groups. In this 9th release, we expanded the CORE collection with 341 new profiles (148 for plants, 101 for vertebrates, 85 for urochordates, and 7 for insects), which corresponds to a 19% expansion over the previous release. We added 298 new profiles to the Unvalidated collection when no orthogonal evidence was found in the literature. All the profiles were clustered to provide familial binding profiles for each taxonomic group. Moreover, we revised the structural classification of DNA binding domains to consider plant-specific TFs. This release introduces word clouds to represent the scientific knowledge associated with each TF. We updated the genome tracks of TFBSs predicted with JASPAR profiles in eight organisms; the human and mouse TFBS predictions can be visualized as native tracks in the UCSC Genome Browser. Finally, we provide a new tool to perform JASPAR TFBS enrichment analysis in user-provided genomic regions. All the data is accessible through the JASPAR website, its associated RESTful API, the R/Bioconductor data package, and a new Python package, pyJASPAR, that facilitates serverless access to the data