Coping with family structure in genome-wide association studies: a comparative evaluation

In this paper, a fully statistical investigation of the control of family structure as random effects is analyzed and discussed, using both the genome-wide association studies (GWAS) data and simulated data. Three modeling strategies are proposed and the analysis results suggest the hybrid use of re...

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Detalles Bibliográficos
Autores principales: Hsu, Yayun, Auerbach, Jonathan, Zheng, Tian, Lo, Shaw-hwa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6156900/
https://www.ncbi.nlm.nih.gov/pubmed/30263047
http://dx.doi.org/10.1186/s12919-018-0151-8
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author Hsu, Yayun
Auerbach, Jonathan
Zheng, Tian
Lo, Shaw-hwa
author_facet Hsu, Yayun
Auerbach, Jonathan
Zheng, Tian
Lo, Shaw-hwa
author_sort Hsu, Yayun
collection PubMed
description In this paper, a fully statistical investigation of the control of family structure as random effects is analyzed and discussed, using both the genome-wide association studies (GWAS) data and simulated data. Three modeling strategies are proposed and the analysis results suggest the hybrid use of results from all possible models should be combined in practice.
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spelling pubmed-61569002018-09-27 Coping with family structure in genome-wide association studies: a comparative evaluation Hsu, Yayun Auerbach, Jonathan Zheng, Tian Lo, Shaw-hwa BMC Proc Proceedings In this paper, a fully statistical investigation of the control of family structure as random effects is analyzed and discussed, using both the genome-wide association studies (GWAS) data and simulated data. Three modeling strategies are proposed and the analysis results suggest the hybrid use of results from all possible models should be combined in practice. BioMed Central 2018-09-17 /pmc/articles/PMC6156900/ /pubmed/30263047 http://dx.doi.org/10.1186/s12919-018-0151-8 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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
Hsu, Yayun
Auerbach, Jonathan
Zheng, Tian
Lo, Shaw-hwa
Coping with family structure in genome-wide association studies: a comparative evaluation
title Coping with family structure in genome-wide association studies: a comparative evaluation
title_full Coping with family structure in genome-wide association studies: a comparative evaluation
title_fullStr Coping with family structure in genome-wide association studies: a comparative evaluation
title_full_unstemmed Coping with family structure in genome-wide association studies: a comparative evaluation
title_short Coping with family structure in genome-wide association studies: a comparative evaluation
title_sort coping with family structure in genome-wide association studies: a comparative evaluation
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6156900/
https://www.ncbi.nlm.nih.gov/pubmed/30263047
http://dx.doi.org/10.1186/s12919-018-0151-8
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AT zhengtian copingwithfamilystructureingenomewideassociationstudiesacomparativeevaluation
AT loshawhwa copingwithfamilystructureingenomewideassociationstudiesacomparativeevaluation

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