Correlations in Complex Disease Association Studies

Atwal, G. S. (2007) Correlations in Complex Disease Association Studies. Society for Industrial and Applied Mathematics.

URL: http://www.siam.org/meetings/cse07/cse07_abstracts...

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: http://repository.cshl.edu/id/eprint/31145

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