Strategic Plan Objective Detail
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Question 3: Objective 8  

$37,043,409.82
Fiscal Year: 2008

Green dot: Objective has greater than or equal to the recommended funding.3.8 Identify genetic risk factors in at least 50% of people with ASD by 2014. IACC Recommended Budget: $33,900,000 over 6 years.

Download 2008 Question 3: Objective 8 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
Understanding glutamate signaling defects in autism spectrum disorders Wang, Tao Johns Hopkins University
Genetic basis of autism Wigler, Michael Cold Spring Harbor Laboratory
Genetic contributions to endophenotypes of autism Wijsman, Ellen University of Washington
Vasopressin receptors and social attachment Young, Larry Emory University
Central vasopressin receptors and affiliation Young, Larry Emory University
Genomic resources for identifying genes regulating social behavior Young, Larry Emory University
Mutation analysis of candidate genes derived from an autism protein interaction network in SSC autism samples Zoghbi, Huda Baylor College of Medicine
Identifying autism susceptibility genes by high-throughput chip resequencing Zwick, Michael Emory University

Objective Cumulative Funding Table

IACC Strategic Plan Objectives 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
3.8
$37,043,410
83 projects

3.L.B
$49,905,587
79 projects

3.L.B
$34,432,884
60 projects

3.L.B
$25,383,346
59 projects

3.L.B
$23,041,231
74 projects

$169,806,458
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%.