Strategic Plan Objective Detail
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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
Analysis of candidate genes derived from a protein interaction network in SSC samples Zoghbi, Huda Baylor College of Medicine
ACE Center: Targeting genetic pathways for brain overgrowth in autism spectrum disorders Wynshaw-Boris, Anthony University of California, San Diego
Population genetics to improve homozygosity mapping and mapping in admixed groups Williams, Amy Harvard Medical School
Genetic basis of autism 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
Recessive genes for autism and mental retardation Walsh, Christopher Beth Israel Deaconess Medical Center
Simons Simplex Collection Site Walsh, Christopher Children's Hospital Boston
Finding recessive genes for autism spectrum disorders Walsh, Christopher Children's Hospital Boston
Simons Simplex Collection Treadwell-Deering, Diane Baylor College of Medicine
Potential role of non-coding RNAs in autism Talebizadeh, Zohreh Children's Mercy Hospitals And Clinics
Unraveling the genetic etiology of autism Sutcliffe, James Vanderbilt University
Simons Simplex Collection Site Sutcliffe, James Vanderbilt University
ACE Center: Rare variant genetics, contactin-related proteins and autism State, Matthew Yale University
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)
Investigation of DUF1220 domains in human brain function and disease (supplement) Sikela, James University of Colorado Denver
Investigation of DUF1220 domains in human brain function and disease Sikela, James University of Colorado Denver
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
The transcription factor PLZF: A possible genetic link between immune dysfunction and autism Sant'Angelo, Derek Memorial Sloan-Kettering Cancer Center
Role of TSC/mTOR signaling pathway in autism and autism spectrum disorders Ramesh, Vijaya Massachusetts General Hospital
Hypocholesterolemic autism spectrum disorder Porter, Forbes National Institutes of Health
Simons Simplex Collection Site Peterson, Bradley Columbia University
Identification and functional characterization of gene variants Persico, Antonio Universita Campus Bio-Medico di Roma

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%.