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BackgroundDevelopmental dysplasia of the hip (DDH), formerly termed congenital dislocation of the hip, is the most common congenital disease of the musculoskeletal system in newborns. While familial predilection to DDH has been well documented, the molecular genetics/pathways of this common disorder are poorly understood.MethodsLinkage analysis and whole exome sequencing; real-time PCR studies of skin fibroblasts.ResultsConsanguineous Bedouin kindred presented with DDH with apparent autosomal recessive heredity. Linkage analysis and whole exome sequencing delineated a single 3.2 Mbp disease-associated chromosome 1 locus (maximal multipoint Logarithm of the Odds score 2.3), containing a single homozygous variant with a relevant expression pattern: addition of threonine in TRIM33 (NM_015906.4); c.1648_1650dup. TRIM33 encodes a protein that acts both in the TGF-β and the BMP pathways; however, it has been mostly studied regarding its function in the TGF-β pathway. Since BMPs are known to act in bone formation, we focused on the BMP pathway, in which TRIM33 functions as a transcription factor, both an activator and repressor. Skin fibroblasts of two affected girls and a heterozygous TRIM33 variant carrier were assayed through reverse-transcription PCR for expression of genes known to be downstream of TRIM33 in the BMP pathway: fibroblasts of affected individuals showed significantly reduced expression of DLX5, significantly increased expression of BGLAP, increased expression of ALPL and no change in expression of RUNX2 or of TRIM33 itself.ConclusionsDDH can be caused by a biallelic variant in TRIM33, affecting the BMP pathway.

With the increasing importance of genomic data in understanding genetic diseases, there is an essential need for efficient and user-friendly tools that simplify variant analysis. Although multiple tools exist, many present barriers such as steep learning curves, limited reference genome compatibility, or costs. We developed VARista, a free web-based tool, to address these challenges and provide a streamlined solution for researchers, particularly those focusing on rare monogenic diseases. VARista offers a user-centric interface that eliminates much of the technical complexity typically associated with variant analysis. The tool directly supports VCF files generated using reference genomes hg19, hg38, and the emerging T2T, with seamless remapping capabilities between them. Features such as gene summaries and links, tissue and cell-specific gene expression data for both adults and fetuses, as well as automated PCR design and integration with tools such as SpliceAI and AlphaMissense, enable users to focus on the biology and the case itself. As we demonstrate, VARista proved effective in narrowing down potential disease-causing variants, prioritizing them effectively, and providing meaningful biological context, facilitating rapid decision-making. VARista stands out as a freely available and comprehensive tool that consolidates various aspects of variant analysis into a single platform that embraces the forefront of genomic advancements. Its design inherently supports a shift in focus from technicalities to critical thinking, thereby promoting better-informed decisions in genetic disease research. Given its unique capabilities and user-centric design, VARista has the potential to become an essential asset for the genomic research community. https://VARista.link