This project is one of four being proposed as part of the UCSD Autism Center of Excellence. One major goal of this study is to identify, in postmortem brain tissue, distinct gene expression profiles of autism that can implicate risk genes for this highly heritable disorder. A second major goal is to identify, in circulating blood cells, a validated gene expression profile of autism that can be developed as a diagnostic tool to improve its identification and early treatment. Although autism is recognized as having a substantial genetic component, its biological basis remains unknown. Due to its high heritability, much research has focused on identifying candidate genes that influence the disorder;however, progress has been slow. In part, this may be attributable to the """"""""single-marker"""""""" approach adopted in most prior efforts, since the etiologic complexity and heterogeneity of autism-spectrum disorders invariably thwart classification schemes relying on a single dimension to differentiate affected and unaffected children. To move beyond this single-marker approach, a major objective of the proposed project is to validate suspected risk genes for autism (e.g., genes in the apoptosis, neurogenesis, and Drosophila wingless homolog [wnf] pathways), but also to find new candidate genes by observing patterns of expression of the entire human transcriptome in eight distinct brain regions. The lack of etiologic understanding of autism has also precluded the development of biologically based diagnostic strategies. As such, the diagnosis relies solely on observable behaviors emerging during the first years of life. Yet, the advantages of a more efficient biologically based diagnostic tool for autism are numerous, and as such, another major objective of this study is to develop biologically based markers for autism. To accomplish these objectives, we will pursue five specific aims as follows: 1) Identify ubiquitous and region-specific disruptions in brain gene expression in autism;2) Identify blood-based predictive biomarkers of early-onset autism;3) Identify blood-based predictive biomarkers of autism treatment response;4) Prioritize and verify the differential expression of top candidate genes in postmortem brain and peripheral blood;and 5) Integrate the results of this project with other projects within the Center. The attainment of the :
specific aims outlined above will serve to validate several groups of risk genes for autism, identify a new set of potential risk genes, and validate peripheral blood-based biomarkers of the disorder, all while determining the specificity of these effects relative to other developmental disorders and to normal development. The identification of risk genes for autism should facilitate the development of novel therapeutics, while the eventual development of a biological marker system for autism would greatly enhance the efficiency of current diagnostic methods, and it likely would facilitate the search for additional etiologic factors in the disorder.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Specialized Center (P50)
Project #
5P50MH081755-05
Application #
8305679
Study Section
Special Emphasis Panel (ZHD1)
Project Start
Project End
2014-06-30
Budget Start
2011-08-01
Budget End
2012-07-31
Support Year
5
Fiscal Year
2011
Total Cost
$263,940
Indirect Cost
Name
University of California San Diego
Department
Type
DUNS #
804355790
City
La Jolla
State
CA
Country
United States
Zip Code
92093
Bacon, Elizabeth C; Osuna, Suzanna; Courchesne, Eric et al. (2018) Naturalistic language sampling to characterize the language abilities of 3-year-olds with autism spectrum disorder. Autism :1362361318766241
Brandler, William M; Antaki, Danny; Gujral, Madhusudan et al. (2018) Paternally inherited cis-regulatory structural variants are associated with autism. Science 360:327-331
Moore, Adrienne; Wozniak, Madeline; Yousef, Andrew et al. (2018) The geometric preference subtype in ASD: identifying a consistent, early-emerging phenomenon through eye tracking. Mol Autism 9:19
Fingher, Noa; Dinstein, Ilan; Ben-Shachar, Michal et al. (2017) Toddlers later diagnosed with autism exhibit multiple structural abnormalities in temporal corpus callosum fibers. Cortex 97:291-305
Pierce, Karen; Marinero, Steven; Hazin, Roxana et al. (2016) Eye Tracking Reveals Abnormal Visual Preference for Geometric Images as an Early Biomarker of an Autism Spectrum Disorder Subtype Associated With Increased Symptom Severity. Biol Psychiatry 79:657-66
Solso, Stephanie; Xu, Ronghui; Proudfoot, James et al. (2016) Diffusion Tensor Imaging Provides Evidence of Possible Axonal Overconnectivity in Frontal Lobes in Autism Spectrum Disorder Toddlers. Biol Psychiatry 79:676-84
Pramparo, Tiziano; Lombardo, Michael V; Campbell, Kathleen et al. (2015) Cell cycle networks link gene expression dysregulation, mutation, and brain maldevelopment in autistic toddlers. Mol Syst Biol 11:841
Pramparo, Tiziano; Pierce, Karen; Lombardo, Michael V et al. (2015) Prediction of autism by translation and immune/inflammation coexpressed genes in toddlers from pediatric community practices. JAMA Psychiatry 72:386-94
Lombardo, Michael V; Pierce, Karen; Eyler, Lisa T et al. (2015) Different functional neural substrates for good and poor language outcome in autism. Neuron 86:567-77
Stoner, Rich; Chow, Maggie L; Boyle, Maureen P et al. (2014) Patches of disorganization in the neocortex of children with autism. N Engl J Med 370:1209-1219

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