Genetic association analysis for common variants in the Genetic Analysis Workshop 18 data: a Dirichlet regression approach

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 th...

Descripción completa

Detalles Bibliográficos
Autores principales: Espin-Garcia, Osvaldo, Shen, Xiaowei, Qiu, Xin, Brhane, Yonathan, Liu, Geoffrey, Xu, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143809/
https://www.ncbi.nlm.nih.gov/pubmed/25519401
http://dx.doi.org/10.1186/1753-6561-8-S1-S70
_version_ 1782331962596261888
author Espin-Garcia, Osvaldo
Shen, Xiaowei
Qiu, Xin
Brhane, Yonathan
Liu, Geoffrey
Xu, Wei
author_facet Espin-Garcia, Osvaldo
Shen, Xiaowei
Qiu, Xin
Brhane, Yonathan
Liu, Geoffrey
Xu, Wei
author_sort Espin-Garcia, Osvaldo
collection PubMed
description 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.
format Online
Article
Text
id pubmed-4143809
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-41438092014-09-02 Genetic association analysis for common variants in the Genetic Analysis Workshop 18 data: a Dirichlet regression approach Espin-Garcia, Osvaldo Shen, Xiaowei Qiu, Xin Brhane, Yonathan Liu, Geoffrey Xu, Wei BMC Proc Proceedings 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. BioMed Central 2014-06-17 /pmc/articles/PMC4143809/ /pubmed/25519401 http://dx.doi.org/10.1186/1753-6561-8-S1-S70 Text en Copyright © 2014 Espin-Garcia et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Proceedings
Espin-Garcia, Osvaldo
Shen, Xiaowei
Qiu, Xin
Brhane, Yonathan
Liu, Geoffrey
Xu, Wei
Genetic association analysis for common variants in the Genetic Analysis Workshop 18 data: a Dirichlet regression approach
title Genetic association analysis for common variants in the Genetic Analysis Workshop 18 data: a Dirichlet regression approach
title_full Genetic association analysis for common variants in the Genetic Analysis Workshop 18 data: a Dirichlet regression approach
title_fullStr Genetic association analysis for common variants in the Genetic Analysis Workshop 18 data: a Dirichlet regression approach
title_full_unstemmed Genetic association analysis for common variants in the Genetic Analysis Workshop 18 data: a Dirichlet regression approach
title_short Genetic association analysis for common variants in the Genetic Analysis Workshop 18 data: a Dirichlet regression approach
title_sort genetic association analysis for common variants in the genetic analysis workshop 18 data: a dirichlet regression approach
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143809/
https://www.ncbi.nlm.nih.gov/pubmed/25519401
http://dx.doi.org/10.1186/1753-6561-8-S1-S70
work_keys_str_mv AT espingarciaosvaldo geneticassociationanalysisforcommonvariantsinthegeneticanalysisworkshop18dataadirichletregressionapproach
AT shenxiaowei geneticassociationanalysisforcommonvariantsinthegeneticanalysisworkshop18dataadirichletregressionapproach
AT qiuxin geneticassociationanalysisforcommonvariantsinthegeneticanalysisworkshop18dataadirichletregressionapproach
AT brhaneyonathan geneticassociationanalysisforcommonvariantsinthegeneticanalysisworkshop18dataadirichletregressionapproach
AT liugeoffrey geneticassociationanalysisforcommonvariantsinthegeneticanalysisworkshop18dataadirichletregressionapproach
AT xuwei geneticassociationanalysisforcommonvariantsinthegeneticanalysisworkshop18dataadirichletregressionapproach

Ejemplares similares