Iossifov, I., Zheng, T., Baron, M., Gilliam, T. C., Rzhetsky, A. (July 2008) Genetic-linkage mapping of complex hereditary disorders to a whole-genome molecular-interaction network. Genome Res, 18 (7). pp. 1150-62. ISSN 1088-9051 (Print)1088-9051 (Linking)
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Abstract
Common hereditary neurodevelopmental disorders such as autism, bipolar disorder, and schizophrenia are most likely both genetically multifactorial and heterogeneous. Because of these characteristics traditional methods for genetic analysis fail when applied to such diseases. To address the problem we propose a novel probabilistic framework that combines the standard genetic linkage formalism with whole-genome molecular-interaction data to predict pathways or networks of interacting genes that contribute to common heritable disorders. We apply the model to three large genotype-phenotype data sets, identify a small number of significant candidate genes for autism (24), bipolar disorder (21), and schizophrenia (25), and predict a number of gene targets likely to be shared among the disorders.
| Item Type: | Paper |
|---|---|
| Uncontrolled Keywords: | Autistic Disorder/genetics Bipolar Disorder/genetics Chromosome Mapping/methods Genetic Diseases, Inborn/ genetics Genetic Linkage Genetic Predisposition to Disease Genome, Human Humans Models, Genetic Multifactorial Inheritance/ genetics Multigene Family/genetics Schizophrenia/genetics |
| Subjects: | bioinformatics bioinformatics > genomics and proteomics bioinformatics > genomics and proteomics > annotation > map annotation bioinformatics > genomics and proteomics > genetics & nucleic acid processing > genomes Investigative techniques and equipment > assays > whole genome sequencing |
| CSHL Authors: | |
| Communities: | CSHL labs > Iossifov lab |
| Depositing User: | Matt Covey |
| Date: | July 2008 |
| Date Deposited: | 01 Apr 2015 20:17 |
| Last Modified: | 01 Apr 2015 20:17 |
| PMCID: | PMC2493404 |
| Related URLs: | |
| URI: | https://repository.cshl.edu/id/eprint/31305 |
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