Visualizing genotype × phenotype relationships in the GAW15 simulated data

We have developed a graphical display tool called SIMLAPLOT for visualizing different ways in which continuous covariates may influence the genotype-specific risk for complex human diseases. The purpose of our study was to examine continuous covariates in the Genetic Analysis Workshop 15 simulated d...

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Detalles Bibliográficos
Autores principales: Qin, Xuejun, Schmidt, Silke, Martin, Eden, Hauser, Elizabeth R
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2367489/
https://www.ncbi.nlm.nih.gov/pubmed/18466475
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author Qin, Xuejun
Schmidt, Silke
Martin, Eden
Hauser, Elizabeth R
author_facet Qin, Xuejun
Schmidt, Silke
Martin, Eden
Hauser, Elizabeth R
author_sort Qin, Xuejun
collection PubMed
description We have developed a graphical display tool called SIMLAPLOT for visualizing different ways in which continuous covariates may influence the genotype-specific risk for complex human diseases. The purpose of our study was to examine continuous covariates in the Genetic Analysis Workshop 15 simulated data set using our novel graphical display tool, with knowledge of the answers. The generated plots provide information about genetic models for the simulated continuous covariates and may help identify the single-nucleotide polymorphisms associated with the underlying quantitative trait loci.
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spelling pubmed-23674892008-05-06 Visualizing genotype × phenotype relationships in the GAW15 simulated data Qin, Xuejun Schmidt, Silke Martin, Eden Hauser, Elizabeth R BMC Proc Proceedings We have developed a graphical display tool called SIMLAPLOT for visualizing different ways in which continuous covariates may influence the genotype-specific risk for complex human diseases. The purpose of our study was to examine continuous covariates in the Genetic Analysis Workshop 15 simulated data set using our novel graphical display tool, with knowledge of the answers. The generated plots provide information about genetic models for the simulated continuous covariates and may help identify the single-nucleotide polymorphisms associated with the underlying quantitative trait loci. BioMed Central 2007-12-18 /pmc/articles/PMC2367489/ /pubmed/18466475 Text en Copyright © 2007 Qin 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.
spellingShingle Proceedings
Qin, Xuejun
Schmidt, Silke
Martin, Eden
Hauser, Elizabeth R
Visualizing genotype × phenotype relationships in the GAW15 simulated data
title Visualizing genotype × phenotype relationships in the GAW15 simulated data
title_full Visualizing genotype × phenotype relationships in the GAW15 simulated data
title_fullStr Visualizing genotype × phenotype relationships in the GAW15 simulated data
title_full_unstemmed Visualizing genotype × phenotype relationships in the GAW15 simulated data
title_short Visualizing genotype × phenotype relationships in the GAW15 simulated data
title_sort visualizing genotype × phenotype relationships in the gaw15 simulated data
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2367489/
https://www.ncbi.nlm.nih.gov/pubmed/18466475
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AT hauserelizabethr visualizinggenotypephenotyperelationshipsinthegaw15simulateddata

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