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A discovery resource of rare copy number variations in individuals with autism spectrum disorder.

Aparna Prasad | Daniele Merico | Bhooma Thiruvahindrapuram | John Wei | Anath C Lionel | Daisuke Sato | Jessica Rickaby | Chao Lu | Peter Szatmari | Wendy Roberts | Bridget A Fernandez | Christian R Marshall | Eli Hatchwell | Peggy S Eis | Stephen W Scherer
G3 (Bethesda, Md.) | 2012

The identification of rare inherited and de novo copy number variations (CNVs) in human subjects has proven a productive approach to highlight risk genes for autism spectrum disorder (ASD). A variety of microarrays are available to detect CNVs, including single-nucleotide polymorphism (SNP) arrays and comparative genomic hybridization (CGH) arrays. Here, we examine a cohort of 696 unrelated ASD cases using a high-resolution one-million feature CGH microarray, the majority of which were previously genotyped with SNP arrays. Our objective was to discover new CNVs in ASD cases that were not detected by SNP microarray analysis and to delineate novel ASD risk loci via combined analysis of CGH and SNP array data sets on the ASD cohort and CGH data on an additional 1000 control samples. Of the 615 ASD cases analyzed on both SNP and CGH arrays, we found that 13,572 of 21,346 (64%) of the CNVs were exclusively detected by the CGH array. Several of the CGH-specific CNVs are rare in population frequency and impact previously reported ASD genes (e.g., NRXN1, GRM8, DPYD), as well as novel ASD candidate genes (e.g., CIB2, DAPP1, SAE1), and all were inherited except for a de novo CNV in the GPHN gene. A functional enrichment test of gene-sets in ASD cases over controls revealed nucleotide metabolism as a potential novel pathway involved in ASD, which includes several candidate genes for follow-up (e.g., DPYD, UPB1, UPP1, TYMP). Finally, this extensively phenotyped and genotyped ASD clinical cohort serves as an invaluable resource for the next step of genome sequencing for complete genetic variation detection.

Pubmed ID: 23275889

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Associated grants

  • Agency: Canadian Institutes of Health Research, Canada

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


PLINK (tool)

RRID:SCR_001757

Open source whole genome association analysis toolset, designed to perform range of basic, large scale analyses in computationally efficient manner. Used for analysis of genotype/phenotype data. Through integration with gPLINK and Haploview, there is some support for subsequent visualization, annotation and storage of results. PLINK 1.9 is improved and second generation of the software.

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Oxford Gene Technology (tool)

RRID:SCR_012551

Founded by Professor Ed Southern, Oxford Gene Technology (OGT) provides a range of high-quality genomics services, including next generation sequencing (whole exome, pre-designed panels, custom panels, RNA-Seq) and microarray processing (aCGH-CNV, miRNA, gene expression).

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