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Biology subjects

Ibrahim, M.

Publications and source records attributed to Ibrahim, M..

2 recordsLinked to original sources

Recurrent AIPL1 c.487C>T truncating variant in Leber Congenital Amaurosis: Support of pathogenicity and regional implications

BackgroundLeber Congenital Amaurosis (LCA) is a clinically and genetically heterogeneous inherited retinal dystrophy characterized by early onset visual impairment caused by mutations in not less than 17 genes. AIPL1 mutations cause LCA type 4, comprising approximately 7% of LCA worldwide. The importance of establishing a genetic diagnosis lies in the promise of gene therapy demonstrated in mouse models.\n\nResultswe genetically investigated a consanguineous Sudanese family with Leber Congenital Amaurosis. Eight members of the family were affected. Using whole exome sequencing in two siblings and their healthy mother, both inheritance-based and phenotype-based prioritization strategies converged to identify a truncating variant (rs62637009) in AIPL1, consistent with a diagnosis of LCA type 4. AIPL1 c.487C>T is an ultra-rare cause of LCA4 that was seen previously in homozygous state in a single Palestinian family. This recurrent variant seems to have a regional importance with a likely founder effect.\n\nConclusionsThis report adds evidence to the pathogenicity of AIPL1 c.487C>T meriting its conclusive annotation as a recurrent pathogenic variant. This variant is particularly relevant to the middle-eastern and northeast African regions.

genomics

A bioinformatic panel to interrogate thousands of ExAC variants with minor reference allele that are missed by conventional variant calling

In variation sites with minor reference alleles, overlooking the detection of homozygous reference genotypes results in inadequate identification of potential disease variants. Current variant calling practices miss these clinically relevant alleles warranting new approaches. More than 26,000 Eome Aggregation Consortium (ExAC) variants have a minor reference allele including 44 variants with known ClinVar disease alleles. We demonstrated how the current variant calling standards miss homozygous reference disease variants in these sites. We developed a bioinformatic panel that can be used to screen these variants using commonly available variant callers. We provide here a simple strategy to screen potential disease-causing variants when present in homozygous reference state.

genomics