Autism is a relatively common neuropsychiatric disorder with an incidence of approximately I in 1000 and genetic heritability of greater than 80%. Although the role of hereditary factors in autism is not in doubt their nature remains elusive and no single gene contributing to its etiology has been identified. Indeed, a recent study by Risch and colleagues emphasized that 15 or more segregating factors probably account for the increased intra-familial risk and that none of them are major factors. As opposed to being the exception, the etiology of autism is likely to be representative of complex disease. Indeed, it is commonly assumed that complex disease inheritance patterns manifest the interaction among multiple genes, the environment, and epigenetic factors. Thus, linkage analysis, while successfully employed to identify disease genes in Mendelian disorders, has largely failed in complex disease families. It has also been assumed that genetic alterations in human disease are generally point mutations or small insertions/deletions. However, the human genome sequence suggests that segmental aneuploidy can underlie human disease. Consequently, we propose to develop two novel types of genome wide screens, one for single nucleotide polymorphisms (SNPs) and the other for genomic segmental aneuploidy, in the study of autism. These techniques should prove particularly robust for susceptibility gene identification, as they are not hindered by the current limited understanding of both gene function and regulation.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Postdoctoral Individual National Research Service Award (F32)
Project #
5F32MH070172-02
Application #
6807015
Study Section
Special Emphasis Panel (ZRG1-F08 (20))
Program Officer
Curvey, Mary F
Project Start
2003-09-30
Project End
2005-06-30
Budget Start
2004-09-30
Budget End
2005-06-30
Support Year
2
Fiscal Year
2004
Total Cost
$36,847
Indirect Cost
Name
Johns Hopkins University
Department
Genetics
Type
Schools of Medicine
DUNS #
001910777
City
Baltimore
State
MD
Country
United States
Zip Code
21218
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Arking, Dan E; Chugh, Sumeet S; Chakravarti, Aravinda et al. (2004) Genomics in sudden cardiac death. Circ Res 94:712-23