Exome sequencing in mostly consanguineous Arab families with neurologic disease provides a high potential molecular diagnosis rate
Male
0301 basic medicine
DNA Copy Number Variations
High-Throughput Nucleotide Sequencing
Sequence Analysis, DNA
Polymorphism, Single Nucleotide
Arabs
Pedigree
3. Good health
Cohort Studies
Consanguinity
03 medical and health sciences
Phenotype
Molecular Diagnostic Techniques
Databases, Genetic
Genetics
Data Mining
Humans
Genetics(clinical)
Exome
Female
Nervous System Diseases
Research Article
DOI:
10.1186/s12920-016-0208-3
Publication Date:
2016-07-19T09:50:27Z
AUTHORS (23)
ABSTRACT
Neurodevelopment is orchestrated by a wide range of genes, and the genetic causes of neurodevelopmental disorders are thus heterogeneous. We applied whole exome sequencing (WES) for molecular diagnosis and in silico analysis to identify novel disease gene candidates in a cohort from Saudi Arabia with primarily Mendelian neurologic diseases.We performed WES in 31 mostly consanguineous Arab families and analyzed both single nucleotide and copy number variants (CNVs) from WES data. Interaction/expression network and pathway analyses, as well as paralog studies were utilized to investigate potential pathogenicity and disease association of novel candidate genes. Additional cases for candidate genes were identified through the clinical WES database at Baylor Miraca Genetics Laboratories and GeneMatcher.We found known pathogenic or novel variants in known disease genes with phenotypic expansion in 6 families, disease-associated CNVs in 2 families, and 12 novel disease gene candidates in 11 families, including KIF5B, GRM7, FOXP4, MLLT1, and KDM2B. Overall, a potential molecular diagnosis was provided by variants in known disease genes in 17 families (54.8 %) and by novel candidate disease genes in an additional 11 families, making the potential molecular diagnostic rate ~90 %.Molecular diagnostic rate from WES is improved by exome-predicted CNVs. Novel candidate disease gene discovery is facilitated by paralog studies and through the use of informatics tools and available databases to identify additional evidence for pathogenicity.Not applicable.
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