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

$34,432,884.28
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
Identifying and understanding the action of autism susceptibility genes Monaco, Anthony University of Oxford
Pathway-based genetic studies of autism spectrum disorder Bucan, Maja University of Pennsylvania
Relevance of NPAS1/3 balance to autism and schizophrenia McKnight, Steven University of Texas Southwestern Medical Center
Simons Simplex Collection Site Bernier, Raphael University of Washington
Genomic hotspots of autism Eichler, Evan University of Washington
Unraveling the genetic etiology of autism Sutcliffe, James Vanderbilt University
Simons Simplex Collection Site Sutcliffe, James Vanderbilt University
ACE Center: Rare variant genetics, contactin-related proteins and autism State, Matthew Yale University
Simons Simplex Collection Site Pelphrey, Kevin Yale University
A genome-wide search for autism genes in the Simons Simplex Collection State, Matthew Yale 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
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%.