The Genetics Component will search for susceptibility genes for autism using extended pedigrees identified through the Utah Population Database (UPDB). We have already identified hive pedigrees with 3-7 affected members and large sibships, and have DNA on one pedigree with seven affected cases. UPDB searches for two pedigrees will be performed using 800 new cases of autism ascertained from four sources. DNA from the 800 cases and their parents will be banked for future family-based association studies. Serum and whole blood will also be banked for future serotonin and immune assays. These cases will also provide approximately 40 new sib pairs for network-wide studies and a pol of subjects for network-wide regression studies. Within members of identified extended pedigrees, we will collect phenotypic data on traits that have shown promise in preliminary data as intermediate phenotypes for autism. An intermediate phenotype occurs in unaffected and affected family members, and may serve as a marker for carrier status of susceptibility genes for autism. These traits may help us to identify specific susceptibility genes associated with particular intermediate phenotypes. Preliminary studies suggest several promising intermediate phenotypes, including the Broader Autism Phenotypes (BAP; mild clinical symptoms in communication, social, and behavioral domains), serotonin levels from blood, and head circumference. Immune phenotypes will be identified by the Immune Component; serum for immune assays will be stored on all subjects. A 5 cM genotype scan will be done using the Marshfield Mammalian Genotyping Service. Pedigrees will be analyzed using the clinical phenotype and intermediate phenotypes to map susceptibility loci. Four candidate genes under linkage peaks will be genotyped using SNPs. Budget resources will also be reserved to SNP type the best candidate gene identified through microarray studies in the Immune Component, for a total of five candidate genes.

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Research Program--Cooperative Agreements (U19)
Project #
2U19HD035476-06
Application #
6683520
Study Section
Special Emphasis Panel (ZHD1)
Project Start
2002-09-20
Project End
2007-05-31
Budget Start
Budget End
Support Year
6
Fiscal Year
2002
Total Cost
Indirect Cost
Name
University of Utah
Department
Type
DUNS #
City
Salt Lake City
State
UT
Country
United States
Zip Code
84112
Matsunami, Nori; Hadley, Dexter; Hensel, Charles H et al. (2013) Identification of rare recurrent copy number variants in high-risk autism families and their prevalence in a large ASD population. PLoS One 8:e52239
Prigge, Molly B D; Lange, Nicholas; Bigler, Erin D et al. (2013) Corpus Callosum Area in Children and Adults with Autism. Res Autism Spectr Disord 7:221-234
Prigge, Molly D; Bigler, Erin D; Fletcher, P Thomas et al. (2013) Longitudinal Heschl's gyrus growth during childhood and adolescence in typical development and autism. Autism Res 6:78-90
Bigler, Erin D; Abildskov, Tracy J; Petrie, Jo Ann et al. (2010) Volumetric and voxel-based morphometry findings in autism subjects with and without macrocephaly. Dev Neuropsychol 35:278-95
Lange, Nicholas; Dubray, Molly B; Lee, Jee Eun et al. (2010) Atypical diffusion tensor hemispheric asymmetry in autism. Autism Res 3:350-8
Fletcher, P Thomas; Whitaker, Ross T; Tao, Ran et al. (2010) Microstructural connectivity of the arcuate fasciculus in adolescents with high-functioning autism. Neuroimage 51:1117-25
Chung, Moo K; Adluru, Nagesh; Lee, Jee Eun et al. (2010) Cosine series representation of 3D curves and its application to white matter fiber bundles in diffusion tensor imaging. Stat Interface 3:69-80
Lee, Jee Eun; Chung, Moo K; Lazar, Mariana et al. (2009) A study of diffusion tensor imaging by tissue-specific, smoothing-compensated voxel-based analysis. Neuroimage 44:870-83
Chung, Moo K; Adluru, Nagesh; Lee, Jee Eun et al. (2009) Efficient parametric encoding scheme for white matter fiber bundles. Conf Proc IEEE Eng Med Biol Soc 2009:6644-7
Han, Deok; Singh, Vikas; Lee, Jee Eun et al. (2009) An experimental evaluation of diffusion tensor image segmentation using graph-cuts. Conf Proc IEEE Eng Med Biol Soc 2009:5653-6

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