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
Identifying autism susceptibility genes by high-throughput chip resequencing Zwick, Michael Emory University
Analysis of candidate genes derived from a protein interaction network in SSC samples Zoghbi, Huda Baylor College of Medicine
Basal ganglia circuitry and molecules in pathogenesis of motor stereotypy Yang, Xiangdong University of California, Los Angeles
ACE Center: Genetic contributions to endophenotypes of autism Wijsman, Ellen University of Washington
Genetic basis of autism Wigler, Michael Cold Spring Harbor Laboratory
Deep sequencing of autism candidate genes in 2000 families from the Simons Simplex Collection Wigler, Michael Cold Spring Harbor Laboratory
Comprehensive genetic variation detection to assess the role of the X chromosome in autism Warren, Stephen Emory University
Understanding glutamate signaling defects in autism spectrum disorders Wang, Tao Johns Hopkins University
Simons Simplex Collection Site Walsh, Christopher Children's Hospital Boston
Recessive genes for autism and mental retardation Walsh, Christopher Beth Israel Deaconess Medical Center
Finding autism genes by genomic copy number analysis Walsh, Christopher Children's Hospital Boston
Identification and functional assessment of autism susceptibility genes Vieland, Veronica The Research Institute at Nationwide Children's Hospital
Role of micro-RNAs in ASD affected circuit formation and function Ullian, Erik University of California, San Francisco
Potential role of non-coding RNAs in autism Talebizadeh, Zohreh Children's Mercy Hospitals And Clinics
Simons Simplex Collection Site Sutcliffe, James Vanderbilt University
Unraveling the genetic etiology of autism Sutcliffe, James Vanderbilt University
Isolation of autism susceptibility genes Stefansson, Kari deCODE Genetics, Inc.
A genome-wide search for autism genes in the Simons Simplex Collection State, Matthew Yale University
Autism Genome Project (AGP) Staff Member Autism Speaks (AS)
Autism Genetic Resource Exchange (AGRE) Staff Member Autism Speaks (AS)
Determining the genetic basis of autism by high-resolution analysis of copy number Sebat, Jonathan Cold Spring Harbor Laboratory
The impact of autism specific genomic variations on microRNA gene expression profile Scherer, Stephen The Hospital for Sick Children
Investigation of genes involved in synaptic plasticity in Iranian families with ASD Santangelo, Susan Massachusetts General Hospital
Role of TSC/mTOR signaling pathway in autism and autism spectrum disorders Ramesh, Vijaya Massachusetts General Hospital
Research Center for the Study of Gene Structure and Function (supplement) Raab, Jennifer Hunter College

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%.