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

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
ACE Center: Genetic contributions to endophenotypes of autism Wijsman, Ellen University of Washington
ACE Network: A comprehensive approach to identification of autism susceptibility genes Geschwind, Daniel University of California, Los Angeles
A genome-wide search for autism genes in the Simons Simplex Collection State, Matthew Yale University
A molecular genetic study of autism and related phenotypes in extended pedigrees Piven, Joseph University of North Carolina at Chapel Hill
Analysis of candidate genes derived from a protein interaction network in SSC samples Zoghbi, Huda Baylor College of Medicine
A recurrent genetic cause of autism Gusella, James Massachusetts General Hospital
Autism and SNPs in the IGF pathway Levine, Arnold Princeton University
Autism and the insula: Genomic and neural circuits Allman, John California Institute of Technology
Autism Genetic Resource Exchange (AGRE) Staff Member Autism Speaks (AS)
Autism Genome Project Buxbaum, Joseph Mount Sinai School of Medicine
Autism Genome Project (AGP) Staff Member Autism Speaks (AS)
Basal ganglia circuitry and molecules in pathogenesis of motor stereotypy Yang, Xiangdong University of California, Los Angeles
Behavioral and genetic biomarker development for autism and related disorders Brzustowicz, Linda Rutgers, The State University of New Jersey - New Brunswick
Center for Genomic and Phenomic Studies in Autism Lajonchere, Clara University of Southern California
Clinical and Bioinformatics Core (supplement) Pericak-Vance, Margaret Duke University
Comprehensive follow-up of novel autism genetic discoveries Daly, Mark Massachusetts General Hospital
Comprehensive genetic variation detection to assess the role of the X chromosome in autism Warren, Stephen Emory University
Computational tools to analyze SNP data from patients with mental illness Downey, Thomas Partek, Inc.
Core--Genomics/Bioinformatics--Alzheimer's disease and autism Gilliam, Thomas Columbia University
Deep sequencing of autism candidate genes in 2000 families from the Simons Simplex Collection Wigler, Michael Cold Spring Harbor Laboratory
Dense mapping of candidate regions linked to autistic disorder Gregersen, Peter Feinstein Institute for Medical Research
Determining the genetic basis of autism by high-resolution analysis of copy number Sebat, Jonathan Cold Spring Harbor Laboratory
Epigenetic etiologies of autism spectrum disorders LaSalle, Janine University of California, Davis
Finding autism genes by genomic copy number analysis Walsh, Christopher Children's Hospital Boston
Gene expression profiling of autism spectrum disorders Collins, Christin Children's Hospital Boston

Objective Multiyear 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%.