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

$49,905,587.13
Fiscal Year: 2009

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 2009 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
A recurrent genetic cause of autism Gusella, James Massachusetts General Hospital
Genes disrupted by balanced genomic rearrangements in autism spectrum disorders Gusella, James Massachusetts General Hospital
The role of the neurexin 1 gene in susceptibility to autism Gusella, James Massachusetts General Hospital/Harvard Medical School
Dense mapping of candidate regions linked to autistic disorder Gregersen, Peter Feinstein Institute for Medical Research
Identification of aberrantly methylated genes in autism: The role of advanced paternal age Gingrich, Jay Research Foundation for Mental Hygiene, Inc.
Core--Genomics/Bioinformatics--Alzheimer's disease and autism Gilliam, Thomas Columbia University
Simons Simplex Collection Site Geschwind, Daniel University of California, Los Angeles
ACE Network: A comprehensive approach to identification of autism susceptibility genes Geschwind, Daniel University of California, Los Angeles
Simons Simplex Collection Site Fombonne, Eric The Research Institute of the McGill University Health Centre
Genomic hotspots of autism Eichler, Evan University of Washington
Computational tools to analyze SNP data from patients with mental illness Downey, Thomas Partek, Inc.
Simons Simplex Collection Site Deutsch, Curtis University of Massachusetts Medical School
Comprehensive follow-up of novel autism genetic discoveries Daly, Mark Massachusetts General Hospital
Genetics of autism intermediate phenotypes Coon, Hilary University of Utah
Simons Simplex Collection Site Cook, Edwin University of Illinois at Chicago
Rutgers, The State University of New Jersey Contract Rutgers, The State University of New Jersey
Gene expression profiling of autism spectrum disorders Collins, Christin Children's Hospital Boston
Simons Simplex Collection Site Cicero, Theodore Washington University in St. Louis
Genome-wide analyses of DNA methylation in autism Chess, Andrew Massachusetts General Hospital
The role of contactin-associated protein-like 2 (CNTNAP2) and other novel genes in autism Chakravarti, Aravinda Johns Hopkins University School of Medicine
Autism Genome Project Buxbaum, Joseph Mount Sinai School of Medicine
Pathway-based genetic studies of autism spectrum disorder Bucan, Maja University of Pennsylvania
Behavioral and genetic biomarker development for autism and related disorders Brzustowicz, Linda Rutgers, The State University of New Jersey - New Brunswick
Identification and functional assessment of autism susceptibility genes Brzustowicz, Linda Rutgers, The State University of New Jersey - New Brunswick
Simons Simplex Collection Site Bernier, Raphael University of Washington

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%.