Atwal, G. S. (2007) Correlations in Complex Disease Association Studies. Society for Industrial and Applied Mathematics.
Abstract
Association studies for complex disease phenotypes, such as cell apoptosis rates and age of onset of cancer, entail multiple hypotheses testing with many combinations of single nucleotide polymorphisms. However, these tests are usually far from independent because linkage disequilibrium across the genome induces strong correlations between loci. The problem is compounded by correlations between combinations of distant loci. A mathematical formalism is developed that correctly accounts for correlations amongst null association tests by explicitly evaluating the multi-information among polymorphisms. This permits an effective evaluation of synergistic or antagonistic genetic interactions with respect to the phenotype.
| Item Type: | Book |
|---|---|
| Additional Information: | Meeting Abstract |
| Subjects: | diseases & disorders bioinformatics > computational biology Publication Type > Meeting Abstract bioinformatics > computational biology > statistical analysis |
| CSHL Authors: | |
| Communities: | CSHL labs > Atwal lab |
| Depositing User: | Matt Covey |
| Date: | 2007 |
| Date Deposited: | 30 Jan 2015 15:50 |
| Last Modified: | 21 Mar 2018 14:16 |
| URI: | https://repository.cshl.edu/id/eprint/31145 |
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