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1.
Bioinformatics ; 39(9)2023 09 02.
Article in English | MEDLINE | ID: mdl-37647638

ABSTRACT

SUMMARY: The next-generation sequencing brought opportunities for the diagnosis of genetic disorders due to its high-throughput capabilities. However, the majority of existing methods were limited to only sequencing candidate variants, and the process of linking these variants to a diagnosis of genetic disorders still required medical professionals to consult databases. Therefore, we introduce diseaseGPS, an integrated platform for the diagnosis of genetic disorders that combines both phenotype and genotype data for analysis. It offers not only a user-friendly GUI web application for those without a programming background but also scripts that can be executed in batch mode for bioinformatics professionals. The genetic and phenotypic data are integrated using the ACMG-Bayes method and a novel phenotypic similarity method, to prioritize the results of genetic disorders. diseaseGPS was evaluated on 6085 cases from Deciphering Developmental Disorders project and 187 cases from Shanghai Children's hospital. The results demonstrated that diseaseGPS performed better than other commonly used methods. AVAILABILITY AND IMPLEMENTATION: diseaseGPS is available to freely accessed at https://diseasegps.sjtu.edu.cn with source code at https://github.com/BioHuangDY/diseaseGPS.


Subject(s)
Computational Biology , Child , Humans , Bayes Theorem , China , Genotype , Phenotype
2.
Mol Genet Genomics ; 295(5): 1103-1111, 2020 Sep.
Article in English | MEDLINE | ID: mdl-32435981

ABSTRACT

The androgen insensitivity syndrome (AIS) is a congenital disease characterized by androgen resistance due to androgen receptor (AR) gene mutations, resulting in disorders of sex differentiation in 46,XY individuals. However, the underlying mechanisms in the majority of AR variants and the phenotype-genotype correlations are unclear. Here, we identified a p.Y764H variant of the AR gene that results in different phenotypes in a family. Structural analyses revealed that amino acid substitution affected protein properties and spatial conformation, and in vitro, functional studies showed impaired nuclear translocation ability of the mutated protein. Moreover, the extent to which this variant reduced nuclear translocation depends on the dihydrotestosterone (DHT) concentrations. Our results, for the first time, demonstrated a pathogenesis of the p.Y764H mutations in AR resulting in AIS phenotype, and indicated that AIS patients with p.Y764H mutation and preserved gonad might have residual AR activity at high androgen levels, putting patients at risk for pubertal virilization in the future. We provide an in-depth insight into the pathogenesis in AIS based on the amino acid substitution, which may help aid its precise diagnosis, personalized treatment, and organized follow-up to avoid gender dysphoria.


Subject(s)
Amino Acid Substitution , Androgen-Insensitivity Syndrome/genetics , Cell Nucleus/metabolism , Exome Sequencing/methods , Receptors, Androgen/genetics , Receptors, Androgen/metabolism , Androgen-Insensitivity Syndrome/metabolism , Animals , COS Cells , China , Chlorocebus aethiops , Female , Hemizygote , Humans , Infant , Male , Pedigree , Phenotype , Protein Transport , Receptors, Androgen/chemistry , Siblings
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