Strategic Plan Objective Detail
Interagency Autism Coordinating Committee (IACC) logo
Office of Autism Research Coordination (OARC) logo

Question 3: Long-term Objective B  

$34,432,884.28
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
ACE Center: Rare variant genetics, contactin-related proteins and autism State, Matthew Yale University
Simons Simplex Collection Site Pelphrey, Kevin Yale University
A genome-wide search for autism genes in the Simons Simplex Collection State, Matthew Yale University
Unraveling the genetic etiology of autism Sutcliffe, James Vanderbilt University
Simons Simplex Collection Site Sutcliffe, James Vanderbilt University
Simons Simplex Collection Site Bernier, Raphael University of Washington
Genomic hotspots of autism Eichler, Evan University of Washington
Relevance of NPAS1/3 balance to autism and schizophrenia McKnight, Steven University of Texas Southwestern Medical Center
Pathway-based genetic studies of autism spectrum disorder Bucan, Maja University of Pennsylvania
Identifying and understanding the action of autism susceptibility genes Monaco, Anthony University of Oxford
Simons Simplex Collection Site Miles, Judith University of Missouri
Simons Simplex Collection Site Lord, Catherine University of Michigan
Molecular and genetic epidemiology of autism Pericak-Vance, Margaret University of Miami Miller School of Medicine
Simons Simplex Collection Site Cook, Edwin University of Illinois at Chicago
Investigation of DUF1220 domains in human brain function and disease Sikela, James University of Colorado Denver
Investigation of DUF1220 domains in human brain function and disease (supplement) Sikela, James University of Colorado Denver
Genomic imbalances in autism Kumar, Ravinesh University of Chicago
Linking autism and congenital cerebellar malformations Millen, Kathleen University of Chicago
ACE Center: Targeting genetic pathways for brain overgrowth in autism spectrum disorders Wynshaw-Boris, Anthony University of California, San Diego
Whole-exome sequencing to identify causative genes for autism Gleeson, Joseph University of California, San Diego
ACE Network: A comprehensive approach to identification of autism susceptibility genes Geschwind, Daniel University of California, Los Angeles
Simons Simplex Collection Site Geschwind, Daniel University of California, Los Angeles
Identification and functional characterization of gene variants Persico, Antonio Universita Campus Bio-Medico di Roma
Simons Simplex Collection Site Fombonne, Eric The Research Institute of the McGill University Health Centre
The impact of autism specific genomic variations on microRNA gene expression profile Scherer, Stephen The Hospital for Sick Children

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%.