Strategic Plan Objective Detail
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Question 3: Objective 8  

$37,043,409.82
Fiscal Year: 2008

Green dot: Objective has greater than or equal to the recommended funding.3.8 Identify genetic risk factors in at least 50% of people with ASD by 2014. IACC Recommended Budget: $33,900,000 over 6 years.

Download 2008 Question 3: Objective 8 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
A molecular genetic study of autism and related phenotypes in extended pedigrees Piven, Joseph University of North Carolina at Chapel Hill
Neural circuitry of social cognition in the broad autism phenotype Piven, Joseph University of North Carolina at Chapel Hill
Clinical trial: Genomic copy number variation in autism Pomeroy, John Stony Brook University, The State University of New York
Genes that deregulate mTOR signaling as candidates for autism spectrum disorders Ramesh, Vijaya Massachusetts General Hospital
Proteomics in Drosophila to identify autism candidate substrates of UBE3A Reiter, Lawrence University of Tennessee Health Science Center
The impact of autism specific genomic variations on microRNA gene expression profile Scherer, Stephen The Hospital for Sick Children
Determining the genetic basis of autism by hi-resolution analysis of copy number Sebat, Jonathan Cold Spring Harbor Laboratory
Autism Genome Project (AGP) Shih, Andy Autism Speaks
A genome-wide search for autism genes in the Simons Simplex Collection State, Matthew Yale University
Isolation of autism susceptibility genes Stefansson, Kari Decode Genetics, Inc.
Unraveling the genetic etiology of autism Sutcliffe, James Vanderbilt University
Genetic analysis of 15q11-q13 in autism Sutcliffe, James Vanderbilt University
Simons Simplex Collection Site - 12 Sutcliffe, James Vanderbilt University
Hindbrain dysgenesis in Rett syndrome and other autism spectrum disorders Swanberg, Susan University of California, Davis
Potential role of noncoding RNAs in autism Talebizadeh, Zohreh Children's Mercy Hospitals and Clinics
Neuroligin and autism Taylor, Palmer University of California, San Diego
Role of micro-RNAs in ASD affected circuit formation and function Ullian, Erik University of California, San Francisco
Gene silencing in fragile X syndrome Usdin, Karen National Institutes of Health
Etiology of autism risk involving MET gene and the environment Van de Water, Judy University of California, Davis
Identification and functional assessment of autism susceptibility genes - 3 Vieland, Veronica The Research Institute at Nationwide Children's Hospital
Identification of autism candidate genes on the X-chromosome from copy number variants identified by 500K SNP-CHIP analysis Vincent, John Centre For Addiction And Mental Health
Gene finding - 2 Walsh, Christopher Boston Children's Hospital
Exploring the role of CC2D1A in neuronal development and synaptic function Walsh, Christopher Harvard University
Recessive genes for autism and mental retardation Walsh, Christopher Beth Israel Deaconess Medical Center
Simons Simplex Collection Site - 13 Walsh, Christopher Boston Children's Hospital

Objective Cumulative Funding Table

IACC Strategic Plan Objectives 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%.