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
Neuronal populations related to deficits in social emotions and cognition in autism: A neurobiological and genomics approach Allman, John California Institute of Technology
Simons Simplex Collection Site - 1 Beaudet, Arthur Baylor College of Medicine
Studies of postmortem brain searching for epigenetic defects causing autism Beaudet, Arthur Baylor College of Medicine
The role of the Rett gene, chromosome 15q11-q13, other genes, and epigenetics Beaudet, Arthur Baylor College of Medicine
Simons Simplex Collection Site - 2 Bernier, Raphael University of Washington
Neurobiology of sociability in a mouse model system relevant to autism Brodkin, Edward University of Pennsylvania
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
The role of Contactin-associated Protein-like 2 (CNTNAP2) and other novel genes in autism Chakravarti, Aravinda Johns Hopkins University School of Medicine
Genomic imbalances in autism - NIH Christian, Susan University of Chicago
Gene expression profiling of autism spectrum disorders Collins, Christin Boston Children's Hospital
Simons Simplex Collection Site - 3 Constantino, John Washington University in St. Louis
Simons Simplex Collection Site - 4 Cook, Edwin University of Illinois at Chicago
Demonstration of the novel RASL/DASL method for analysis of gene expression in frontal cortex in autism and control cases Courchesne, Eric University of California, San Diego
Comprehensive follow-up of novel autism genetic discoveries Daly, Mark Massachusetts General Hospital
Simons Simplex Collection Site - 14 Deutsch, Curtis University of Massachusetts Medical School
Simons Simplex Collection Site - 5 Fombonne, Eric The Research Institute of the McGill University Health Centre
A system biology approach to autism genetics Geschwind, Daniel University of California, Los Angeles
Simons Simplex Collection Site - 6 Geschwind, Daniel University of California, Los Angeles
Core--genomics/bioinformatics--Alzheimer's disease and autism Gilliam, Thomas Columbia University
Patient-oriented research in recessive pediatric brain diseases Gleeson, Joseph University of California, San Diego
Dense mapping of candidate regions linked to autistic disorder Gregersen, Peter Feinstein Institute For Medical Research
A recurrent genetic cause of autism Gusella, James Massachusetts General Hospital
Gene finding - 1 Gusella, James Massachusetts General Hospital
Genotype-phenotype relationships in fragile X families Hagerman, Randi 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%.