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
Comprehensive follow-up of novel autism genetic discoveries Daly, Mark Massachusetts General Hospital
Investigation of genes involved in synaptic plasticity in Iranian families with ASD Santangelo, Susan Massachusetts General Hospital
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
Role of TSC/mTOR signaling pathway in autism and autism spectrum disorders Ramesh, Vijaya Massachusetts General Hospital
The role of the neurexin 1 gene in susceptibility to autism Gusella, James Massachusetts General Hospital/Harvard Medical School
The transcription factor PLZF: A possible genetic link between immune dysfunction and autism Sant'Angelo, Derek Memorial Sloan-Kettering Cancer Center
Hypocholesterolemic autism spectrum disorder Porter, Forbes National Institutes of Health
Genetic epidemiology of complex traits Bailey-Wilson, Joan National Institutes of Health
The frequency of polymorphisms in maternal- and paternal-effect genes in autism spectrum Levine, Arnold Princeton University
The impact of autism specific genomic variations on microRNA gene expression profile Scherer, Stephen The Hospital for Sick Children
Simons Simplex Collection Site Fombonne, Eric The Research Institute of the McGill University Health Centre
Identification and functional characterization of gene variants Persico, Antonio Universita Campus Bio-Medico di Roma
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
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
Genomic imbalances in autism Kumar, Ravinesh University of Chicago
Linking autism and congenital cerebellar malformations Millen, Kathleen University of 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
Simons Simplex Collection Site Cook, Edwin University of Illinois at Chicago
Molecular and genetic epidemiology of autism Pericak-Vance, Margaret University of Miami Miller School of Medicine
Simons Simplex Collection Site Lord, Catherine University of Michigan
Simons Simplex Collection Site Miles, Judith University of Missouri

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%.