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
Central vasopressin receptors and affiliation Young, Larry Emory University
Vasopressin receptors and social attachment Young, Larry Emory University
Simons Simplex Collection Site - 8 Ledbetter, David Emory University
Dense mapping of candidate regions linked to autistic disorder Gregersen, Peter Feinstein Institute For Medical Research
Exploring the role of CC2D1A in neuronal development and synaptic function Walsh, Christopher Harvard University
Understanding glutamate signaling defects in autism spectrum disorders Wang, Tao Johns Hopkins University
The role of Contactin-associated Protein-like 2 (CNTNAP2) and other novel genes in autism Chakravarti, Aravinda Johns Hopkins University School of Medicine
Translational genetic studies in familial ASDs Morrow, Eric Massachusetts General Hospital
Genes that deregulate mTOR signaling as candidates for autism spectrum disorders Ramesh, Vijaya Massachusetts General Hospital
A recurrent genetic cause of autism Gusella, James Massachusetts General Hospital
Comprehensive follow-up of novel autism genetic discoveries Daly, Mark Massachusetts General Hospital
Gene finding - 1 Gusella, James Massachusetts General Hospital
Chromatin remodeling and neuronal differentiation Pazin, Michael National Institutes of Health
Gene silencing in fragile X syndrome Usdin, Karen National Institutes of Health
Autism and SNPs in the IGF pathway Levine, Arnold Princeton University
Identification and functional assessment of autism susceptibility genes - 1 Brzustowicz, Linda Rutgers, The State University of New Jersey - New Brunswick
Genetic studies of autism susceptibility Brzustowicz, Linda Rutgers University
A California population-based twin study of autism Hallmayer, Joachim Stanford University
Clinical trial: Genomic copy number variation in autism Pomeroy, John Stony Brook University, The State University of New York
The impact of autism specific genomic variations on microRNA gene expression profile Scherer, Stephen The Hospital for Sick Children
Identification and functional assessment of autism susceptibility genes - 3 Vieland, Veronica The Research Institute at Nationwide Children's Hospital
Simons Simplex Collection Site - 5 Fombonne, Eric The Research Institute of the McGill University Health Centre
Etiology of autism risk involving MET gene and the environment Van de Water, Judy University of California, Davis
The role of MECP2 in Rett syndrome - Supplement LaSalle, Janine University of California, Davis
Epigenetic etiologies of autism spectrum disorders LaSalle, Janine University of California, Davis

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%.