Increasing evidence indicates that submicroscopic genomic imbalances (deletions, duplications) play a major role in human disease, especially neurodevelopmental disorders such as mental retardation and autism. We propose to test the hypothesis that subtelomeric and pericentromeric regions of the human genome are highly prone to genomic instability and cause a disproportionate percentage of developmental disabilities due to their unique genomic topology. Their complex, mosaic structures are rich in repetitive and duplicated sequences, which have been recalcitrant to whole genome sequencing efforts. Targeted approaches are needed to elucidate their genomic architecture, evolution and role in human disease. We propose the following Specific Aims: 1) Investigate the genomic architecture of human subtelomeric and pericentromeric regions. We will establish the boundary between the unique and repetitive DNA zones for each subtelomeric and pericentromeric region and create """"""""molecular rulers"""""""" up to 5 Mb from each telomere or centromere. Each region will be classified (complex vs. simple; polymorphic vs. non-polymorphic) to test the hypothesis that a complex or polymorphic structure may increase instability. 2) Determine the frequency, patterns and mechanisms of chromosome abnormalities at subtelomeric and pericentromeric regions. Patients with abnormalities involving subtelomeric or pericentromeric regions will be analyzed by FISH and/or array CGH using our novel molecular ruler reagents. Gene dosage effects will be assessed in a) MR or autistic individuals and b) phenotypically normal individuals with subtelomeric or pericentromeric imbalance. 3) Develop a """"""""human gene dosage map"""""""" for the pericentromeric and subtelomeric regions of human chromosomes using 2 approaches: a) Computational studies of gene content within the precisely calibrated segments of dosage imbalance will be used as a high-resolution approach to genotype-phenotype correlation in humans, b) Functional studies of gene expression changes associated with genomic imbalance will be globally surveyed using oligonucleotide arrays of ~33,000 genes followed by targeted analyses using RT-PCR and/or northern analyses to assess expression of genes directly involved in the chromosomal event as well as neighboring genes (position effects) and a genome wide survey (gene interaction effects).

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH074090-03
Application #
7194256
Study Section
Genetics of Health and Disease Study Section (GHD)
Program Officer
Lehner, Thomas
Project Start
2005-03-15
Project End
2010-02-28
Budget Start
2007-03-01
Budget End
2008-02-29
Support Year
3
Fiscal Year
2007
Total Cost
$407,538
Indirect Cost
Name
Emory University
Department
Genetics
Type
Schools of Medicine
DUNS #
066469933
City
Atlanta
State
GA
Country
United States
Zip Code
30322
Evans, David W; Lusk, Laina G; Slane, Mylissa M et al. (2018) Dimensional assessment of schizotypal, psychotic, and other psychiatric traits in children and their parents: development and validation of the Childhood Oxford-Liverpool Inventory of Feelings and Experiences on a representative US sample. J Child Psychol Psychiatry 59:574-585
Wain, Karen E; Palen, Emily; Savatt, Juliann M et al. (2018) The value of genomic variant ClinVar submissions from clinical providers: Beyond the addition of novel variants. Hum Mutat 39:1660-1667
Evans, David W; Uljarevi?, Mirko; Lusk, Laina G et al. (2017) Development of Two Dimensional Measures of Restricted and Repetitive Behavior in Parents and Children. J Am Acad Child Adolesc Psychiatry 56:51-58
Martin, Christa Lese; Ledbetter, David H (2017) Chromosomal Microarray Testing for Children With Unexplained Neurodevelopmental Disorders. JAMA 317:2545-2546
Finucane, Brenda; Myers, Scott M (2016) Genetic Counseling for Autism Spectrum Disorder in an Evolving Theoretical Landscape. Curr Genet Med Rep 4:147-153
Bernier, Raphael; Steinman, Kyle J; Reilly, Beau et al. (2016) Clinical phenotype of the recurrent 1q21.1 copy-number variant. Genet Med 18:341-9
Gonzalez-Mantilla, Andrea J; Moreno-De-Luca, Andres; Ledbetter, David H et al. (2016) A Cross-Disorder Method to Identify Novel Candidate Genes for Developmental Brain Disorders. JAMA Psychiatry 73:275-83
Finucane, Brenda; Challman, Thomas D; Martin, Christa Lese et al. (2016) Shift happens: family background influences clinical variability in genetic neurodevelopmental disorders. Genet Med 18:302-4
Leppa, Virpi M; Kravitz, Stephanie N; Martin, Christa Lese et al. (2016) Rare Inherited and De Novo CNVs Reveal Complex Contributions to ASD Risk in Multiplex Families. Am J Hum Genet 99:540-554
Martin, Christa Lese; Ledbetter, David H (2015) Molecular cytogenetic analysis of telomere rearrangements. Curr Protoc Hum Genet 84:8.11.1-15

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