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Dataset Information

Identification of novel candidate disease genes from de novo exonic copy number variants.


ABSTRACT:

Background

Exon-targeted microarrays can detect small (<1000 bp) intragenic copy number variants (CNVs), including those that affect only a single exon. This genome-wide high-sensitivity approach increases the molecular diagnosis for conditions with known disease-associated genes, enables better genotype-phenotype correlations, and facilitates variant allele detection allowing novel disease gene discovery.

Methods

We retrospectively analyzed data from 63,127 patients referred for clinical chromosomal microarray analysis (CMA) at Baylor Genetics laboratories, including 46,755 individuals tested using exon-targeted arrays, from 2007 to 2017. Small CNVs harboring a single gene or two to five non-disease-associated genes were identified; the genes involved were evaluated for a p

SUBMITTER: Gambin T 

PROVIDER: S-EPMC5607840 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature