We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Genetic association analysis for common variants in the Genetic Analysis Workshop 18 data: a Dirichlet regression approach.
- Authors
Espin-Garcia, Osvaldo; Xiaowei Shen; Xin Qiu; Brhane, Yonathan; Liu, Geoffrey; Wei Xu
- Abstract
We propose a genetic association analysis using Dirichlet regression to analyze the Genetic Analysis Workshop 18 data. Clinical variables, arranged in a longitudinal data structure, are employed to fit a multistate transition model in which the transition probabilities are served as a response in the proposed analysis. Furthermore, a gene-based association analysis via penalized regression is implemented using the markers at a single-nucleotide polymorphism level that we previously identified via nonpenalized Dirichlet regression.
- Subjects
HUMAN genetic variation; GENETIC databases; DIRICHLET problem; SINGLE nucleotide polymorphisms; GENETIC markers
- Publication
BMC Proceedings, 2014, Vol 9, Issue Supplement 5, p1
- ISSN
1753-6561
- Publication type
Article
- DOI
10.1186/1753-6561-8-S1-S70