Cargando…
Association analysis of whole genome sequencing data accounting for longitudinal and family designs
Using the whole genome sequencing data and the simulated longitudinal phenotypes for 849 pedigree-based individuals from Genetic Analysis Workshop 18, we investigated various approaches to detecting the association of rare and common variants with blood pressure traits. We compared three strategies...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143808/ https://www.ncbi.nlm.nih.gov/pubmed/25519416 http://dx.doi.org/10.1186/1753-6561-8-S1-S89 |
_version_ | 1782331962376060928 |
---|---|
author | Hu, Yijuan Hui, Qin Sun, Yan V |
author_facet | Hu, Yijuan Hui, Qin Sun, Yan V |
author_sort | Hu, Yijuan |
collection | PubMed |
description | Using the whole genome sequencing data and the simulated longitudinal phenotypes for 849 pedigree-based individuals from Genetic Analysis Workshop 18, we investigated various approaches to detecting the association of rare and common variants with blood pressure traits. We compared three strategies for longitudinal data: (a) using the baseline measurement only, (b) using the average from multiple visits, and (c) using all individual measurements. We also compared the power of using all of the pedigree-based data and the unrelated subset. The analyses were performed without knowledge of the underlying simulating model. |
format | Online Article Text |
id | pubmed-4143808 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-41438082014-09-02 Association analysis of whole genome sequencing data accounting for longitudinal and family designs Hu, Yijuan Hui, Qin Sun, Yan V BMC Proc Proceedings Using the whole genome sequencing data and the simulated longitudinal phenotypes for 849 pedigree-based individuals from Genetic Analysis Workshop 18, we investigated various approaches to detecting the association of rare and common variants with blood pressure traits. We compared three strategies for longitudinal data: (a) using the baseline measurement only, (b) using the average from multiple visits, and (c) using all individual measurements. We also compared the power of using all of the pedigree-based data and the unrelated subset. The analyses were performed without knowledge of the underlying simulating model. BioMed Central 2014-06-17 /pmc/articles/PMC4143808/ /pubmed/25519416 http://dx.doi.org/10.1186/1753-6561-8-S1-S89 Text en Copyright © 2014 Hu 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 Hu, Yijuan Hui, Qin Sun, Yan V Association analysis of whole genome sequencing data accounting for longitudinal and family designs |
title | Association analysis of whole genome sequencing data accounting for longitudinal and family designs |
title_full | Association analysis of whole genome sequencing data accounting for longitudinal and family designs |
title_fullStr | Association analysis of whole genome sequencing data accounting for longitudinal and family designs |
title_full_unstemmed | Association analysis of whole genome sequencing data accounting for longitudinal and family designs |
title_short | Association analysis of whole genome sequencing data accounting for longitudinal and family designs |
title_sort | association analysis of whole genome sequencing data accounting for longitudinal and family designs |
topic | Proceedings |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143808/ https://www.ncbi.nlm.nih.gov/pubmed/25519416 http://dx.doi.org/10.1186/1753-6561-8-S1-S89 |
work_keys_str_mv | AT huyijuan associationanalysisofwholegenomesequencingdataaccountingforlongitudinalandfamilydesigns AT huiqin associationanalysisofwholegenomesequencingdataaccountingforlongitudinalandfamilydesigns AT sunyanv associationanalysisofwholegenomesequencingdataaccountingforlongitudinalandfamilydesigns |