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Whole exome sequencing identified two homozygous ALMS1 mutations in an Iranian family with Alström syndrome.

Shahram Torkamandi | Somaye Rezaei | Reza Mirfakhraei | Masomeh Askari | Samira Piltan | Milad Gholami
Gene | 2020

Alström syndrome (AS) is a rare monogenic multi-system ciliopathy disorder with cardinal features, including cone-rod dystrophy, sensory neural hearing loss, metabolic dysfunctions and multiple organ failure caused by bi-allelic mutations in a centrosomal basal body protein-coding gene known as ALMS1. This study aimed to identify pathogenic mutations in a consanguineous Iranian family with AS. Next-generation sequencing was performed on the genomic DNA obtained from a 12 years old girl with AS. According to the bioinformatics analysis, computational modelling and segregation of variants, we identified two homozygous mutations close together in exon 8 of ALMS1 in the patient, including c.7262 G > T and c.7303-7305delAG. The clinically normal parents were heterozygous for both mutations. These mutations have a very rare frequency and only reported in the heterozygous state in the public genomic databases. Overall, due to the large size of the ALMS1 gene and clinical similarity with other ciliopathies and genetic disorders, whole exome sequencing can be useful for the identification of pathogenic mutations and the improvement of AS clinical management.

Pubmed ID: 31669637

Associated grants

None

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This is a list of tools and resources that we have found mentioned in this publication.


Sequencher (tool)

RRID:SCR_001528

Software for Next-Generation DNA sequencing, Sanger DNA analysis, and RNA sequencing. It contains sequence analysis tools which include reference-guided alignments, de novo assembly, variant calling, and SNP analyses. It has integrated the Cufflinks suite for in-depth transcript analysis and differential gene expression of RNA-Seq data.

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ExAc (tool)

RRID:SCR_004068

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 9, 2023. An aggregated data platform for genome sequencing data created by a coalition of investigators seeking to aggregate and harmonize exome sequencing data from a variety of large-scale sequencing projects, and to make summary data available for the wider scientific community. The data set provided on this website spans 61,486 unrelated individuals sequenced as part of various disease-specific and population genetic studies. They have removed individuals affected by severe pediatric disease, so this data set should serve as a useful reference set of allele frequencies for severe disease studies. All of the raw data from these projects have been reprocessed through the same pipeline, and jointly variant-called to increase consistency across projects. They ask that you not publish global (genome-wide) analyses of these data until after the ExAC flagship paper has been published, estimated to be in early 2015. If you''re uncertain which category your analyses fall into, please email them. The aggregation and release of summary data from the exomes collected by the Exome Aggregation Consortium has been approved by the Partners IRB (protocol 2013P001477, Genomic approaches to gene discovery in rare neuromuscular diseases).

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RRID:SCR_010777

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RRID:SCR_012813

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ANNOVAR (tool)

RRID:SCR_012821

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RRID:SCR_013189

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RRID:SCR_014627

Web server as integrated platform for automated protein structure and function prediction. Used for protein 3D structure prediction. Resource for automated protein structure prediction and structure-based function annotation.

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Genome Aggregation Database (tool)

RRID:SCR_014964

Database that aggregates exome and genome sequencing data from large-scale sequencing projects. The gnomAD data set contains individuals sequenced using multiple exome capture methods and sequencing chemistries. Raw data from the projects have been reprocessed through the same pipeline, and jointly variant-called to increase consistency across projects.

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