Though genome-wide association studies have identified a plethora of common variants contributing to neurocognitive disorders, much of the genetic risk remains unexplained. Additionally, specific causal variants and genes are often not characterized, leaving the underlying mechanisms contributing to such disorders largely unknown. Recently, it has become clear that rare variants with large effect sizes, such as de novo copy- number variants (CNVs) and protein-coding mutations, play a role in neurocognitive disorders including nonsyndromic intellectual disability (ID) and autism. In the case of CNVs, implicated variants often encompass tens if not hundreds of genes, with the same lesion associated with a variety of disorders and phenotypes;therefore, the challenge lies in discerning the precise gene(s) within the deleted or duplicated regions that contribute to pathogenicity. Likewise, the major obstacle in identifying disease-causing exonic mutations is discerning high-impact causal variants from a surplus of innocuous variants. Here, I propose the use of genomic approaches to discover and characterize causal genes disrupted by pathogenic CNVs or point mutations that contribute to neurocognitive defects. I will address this goal in three steps: (1) identify a subset of candidate genes contributing to ID and autism using fine-scale mapping within known pathogenic CNVs in affected individuals;(2) identify potentially pathogenic protein-altering mutations in a subset of cases with severe ID and multiple congenital abnormalities;and (3) characterize candidate genes and variants using experimental assays in cell lines and zebrafish to assess their impact on development. The findings of this research will offer insight into the underlying etiology of neurocognitive disorders and pave the way for additional gene discovery and potential treatments. As whole-exome and -genome sequencing screens become standard practice in identifying highly penetrant disease-associated variants, such methods will be vital to ultimately distinguish causal variants from a large list of non-pathogenic coding variants residing in every individual.

Public Health Relevance

Neurocognitive disorders are common in the population, representing a significant burden in all aspects of life and society. Studies aimed at discovering the causes of such disorders will lead to a better understanding of the underlying biological mechanisms, and in turn facilitate development of improved diagnostic methods and potential treatments.

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Postdoctoral Individual National Research Service Award (F32)
Project #
5F32HD071698-02
Application #
8412056
Study Section
Special Emphasis Panel (ZRG1-F08-E (20))
Program Officer
Parisi, Melissa
Project Start
2012-01-01
Project End
2013-08-15
Budget Start
2013-01-01
Budget End
2013-08-15
Support Year
2
Fiscal Year
2013
Total Cost
$36,658
Indirect Cost
Name
University of Washington
Department
Genetics
Type
Schools of Medicine
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
Girirajan, Santhosh; Dennis, Megan Y; Baker, Carl et al. (2013) Refinement and discovery of new hotspots of copy-number variation associated with autism spectrum disorder. Am J Hum Genet 92:221-37