Strategic Plan Objective Detail
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Question 3: Long-term Objective B  

Fiscal Year: 2010

Green dot: Objective has greater than or equal to the recommended funding.3LB. Identify genetic risk factors in at least 50% of people with ASD by 2014. IACC Recommended Budget: $33,900,000 over 6 years.

Download 2010 Question 3: Long-term Objective B projects (EXCEL)
Note: Initial Sort is by Principal Investigator. Sorting by other columns is available by clicking on the desired column header.
Project Title Principal Investigator Institution
The impact of autism specific genomic variations on microRNA gene expression profile Scherer, Stephen The Hospital for Sick Children
The role of contactin-associated protein-like 2 (CNTNAP2) and other novel genes in autism Chakravarti, Aravinda Johns Hopkins University School of Medicine
The role of retrotransposons in autism spectrum disorders Kazazian, Haig Johns Hopkins University
The role of the neurexin 1 gene in susceptibility to autism Gusella, James Massachusetts General Hospital/Harvard Medical School
The transcription factor PLZF: A possible genetic link between immune dysfunction and autism Sant'Angelo, Derek Memorial Sloan-Kettering Cancer Center
Uncovering genetic mechanisms of ASD Kunkel, Louis Children's Hospital Boston
Understanding glutamate signaling defects in autism spectrum disorders Wang, Tao Johns Hopkins University
Unraveling the genetic etiology of autism Sutcliffe, James Vanderbilt University
Whole-exome sequencing to identify causative genes for autism Gleeson, Joseph University of California, San Diego
Whole-genome sequencing for rare highly penetrant gene variants in schizophrenia Goldstein, David Duke University

Objective Cumulative Funding Table

IACC Strategic Plan Objective 2008 2009 2010 2011 2012 Total
Identify genetic risk factors in at least 50% of people with ASD by 2014.

IACC Recommended Budget: $33,900,000 over 6 years
83 projects

79 projects

60 projects

59 projects

74 projects

3.L.B. Funding: The recommended budget was met. Significantly more than the recommended minimum budget was allocated to projects specific to this objective.

Progress: Further work is needed to identify genetic risk factors in at least 50% of people. Currently, whole exome analysis predicts that a genetic risk factor can be identified for 20% of people; inclusion of CNV data might push this toward 30%.

Remaining Gaps, Needs, and Opportunities: The initial budget recommendation for this objective was made based on the assumption that GWAS studies would provide risk factor identification, but sequencing has proven more fruitful. Since this technique is more expensive, a higher budget will be required to meet the goal of 50%.