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
Dense mapping of candidate regions linked to autistic disorder Gregersen, Peter Feinstein Institute For Medical Research
Comprehensive genetic variation detection to assess the role of the X chromosome in autism Warren, Stephen Emory University
Comprehensive follow-up of novel autism genetic discoveries Daly, Mark Massachusetts General Hospital
Autism Genome Project (AGP) Staff Member Autism Speaks (AS)
A recurrent genetic cause of autism Gusella, James Massachusetts General Hospital
Analysis of candidate genes derived from a protein interaction network in SSC samples Zoghbi, Huda Baylor College of Medicine
A genome-wide search for autism genes in the Simons Simplex Collection State, Matthew Yale University
ACE Network: A comprehensive approach to identification of autism susceptibility genes Geschwind, Daniel University of California, Los Angeles
ACE Center: Targeting genetic pathways for brain overgrowth in autism spectrum disorders Wynshaw-Boris, Anthony University of California, San Diego
ACE Center: Rare variant genetics, contactin-related proteins and autism 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
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%.