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Background: Familial hypercholesterolemia (FH) is a lipid disorder caused by pathogenic mutations in LDLRAP1 gene. The present study has aimed to deepen our understanding about the pathogenicity predictions of FH causative genetic mutations, as well as their relationship to phenotype changes in LDLRAP1 protein, by utilizing multidirectional computational analysis. Methods: FH linked LDLRAP1 mutations were mined from databases, and the prediction ability of several pathogenicity classifiers against these clinical variants, was assessed through different statistical measures. Furthermore, these mutations were 3D modelled in protein structures to assess their impact on protein phenotype changes. Results: Our findings suggest that Polyphen‐2, when compared with SIFT, M‐CAP and CADD tools, can make better pathogenicity predictions for FH causative LDLRAP1 mutations. Through, 3D simulation and superimposition analysis of LDLRAP1 protein structures, it was found that missense mutations do not create any gross changes in the protein structure, although they could induce subtle structural changes at the level of amino acid residues. Near native molecular dynamic analysis revealed that missense mutations could induce variable degrees of fluctuation differences guiding the protein flexibility. Stability analysis showed that most missense mutations shifts the free energy equilibrium and hence they destabilize the protein. Molecular docking analysis demonstrates the molecular shifts in hydrogen and ionic bonds and Van der waals bonding properties, which further cause differences in the binding energy of LDLR‐LDLRAP1 proteins. Conclusions: The diverse computational approaches used in the present study may provide a new dimension for exploring the structure–function relationship of the novel and deleterious LDLRAP1 mutations linked to FH. [ABSTRACT FROM AUTHOR]

Background: Syndactyly is a clinical feature of split‐hand foot malformation (SHFM), ectodermal‐dysplasia‐syndactyly (EDSS1) and Cenani–Lenz syndactyly syndromes (CLSS). In EDSS1, only cutaneous syndactyly is observed, with sparse hair, abnormal nails and dentition. In SHFM, bony syndactyly may vary from hypoplasia of one phalanx to aplasia of central digits, extending to complete fusion of all fingers and toes in CLSS. Several genes have been assigned to these syndromes. Performing a single step molecular diagnostics becomes a challenge when a phenotype has overlaps with several syndromes or when some of the clinical features are not fully expressed in patients. Methods: Whole exome sequencing (WES) analysis on one sample derived from a consanguineous family was performed. A causative variant in WES data was prioritized via standard bioinformatics tools. The selected variant was Sanger sequenced in all the available family members for autosomal recessive segregation. Results: A novel missense variant (c.1151A>G; p.Tyr384Cys) was identified in the LRP4 gene. Sanger validation confirmed that all affected individuals were homozygous and the obligate carriers were heterozygous for this variant. The variant is neither reported in 1000 human genomes, nor in 60 706 exomes databases, and is predicted as "pathogenic" by SIFT, Polyphen‐2 and MutationTaster software. Conclusions: The present study broadens the pathogenic spectrum of the LRP4 gene in syndactyly syndromes. WES is a powerful tool for genetic analysis in research and can be readily used as a first‐line diagnostic test in syndactyly and related phenotypes. [ABSTRACT FROM AUTHOR]