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Genetic Analysis Workshop 18: Methods and strategies for analyzing human sequence and phenotype data in members of extended pedigrees
Genetic Analysis Workshop 18 provided a platform for developing and evaluating statistical methods to analyze whole-genome sequence data from a pedigree-based sample. In this article we present an overview of the data sets and the contributions that analyzed these data. The family data, donated by t...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143625/ https://www.ncbi.nlm.nih.gov/pubmed/25519310 http://dx.doi.org/10.1186/1753-6561-8-S1-S1 |
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author | Bickeböller, Heike Bailey, Julia N Beyene, Joseph Cantor, Rita M Cordell, Heather J Culverhouse, Robert C Engelman, Corinne D Fardo, David W Ghosh, Saurabh König, Inke R Lorenzo Bermejo, Justo Melton, Phillip E Santorico, Stephanie A Satten, Glen A Sun, Lei Tintle, Nathan L Ziegler, Andreas MacCluer, Jean W Almasy, Laura |
author_facet | Bickeböller, Heike Bailey, Julia N Beyene, Joseph Cantor, Rita M Cordell, Heather J Culverhouse, Robert C Engelman, Corinne D Fardo, David W Ghosh, Saurabh König, Inke R Lorenzo Bermejo, Justo Melton, Phillip E Santorico, Stephanie A Satten, Glen A Sun, Lei Tintle, Nathan L Ziegler, Andreas MacCluer, Jean W Almasy, Laura |
author_sort | Bickeböller, Heike |
collection | PubMed |
description | Genetic Analysis Workshop 18 provided a platform for developing and evaluating statistical methods to analyze whole-genome sequence data from a pedigree-based sample. In this article we present an overview of the data sets and the contributions that analyzed these data. The family data, donated by the Type 2 Diabetes Genetic Exploration by Next-Generation Sequencing in Ethnic Samples Consortium, included sequence-level genotypes based on sequencing and imputation, genome-wide association genotypes from prior genotyping arrays, and phenotypes from longitudinal assessments. The contributions from individual research groups were extensively discussed before, during, and after the workshop in theme-based discussion groups before being submitted for publication. |
format | Online Article Text |
id | pubmed-4143625 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-41436252014-09-02 Genetic Analysis Workshop 18: Methods and strategies for analyzing human sequence and phenotype data in members of extended pedigrees Bickeböller, Heike Bailey, Julia N Beyene, Joseph Cantor, Rita M Cordell, Heather J Culverhouse, Robert C Engelman, Corinne D Fardo, David W Ghosh, Saurabh König, Inke R Lorenzo Bermejo, Justo Melton, Phillip E Santorico, Stephanie A Satten, Glen A Sun, Lei Tintle, Nathan L Ziegler, Andreas MacCluer, Jean W Almasy, Laura BMC Proc Proceedings Genetic Analysis Workshop 18 provided a platform for developing and evaluating statistical methods to analyze whole-genome sequence data from a pedigree-based sample. In this article we present an overview of the data sets and the contributions that analyzed these data. The family data, donated by the Type 2 Diabetes Genetic Exploration by Next-Generation Sequencing in Ethnic Samples Consortium, included sequence-level genotypes based on sequencing and imputation, genome-wide association genotypes from prior genotyping arrays, and phenotypes from longitudinal assessments. The contributions from individual research groups were extensively discussed before, during, and after the workshop in theme-based discussion groups before being submitted for publication. BioMed Central 2014-06-17 /pmc/articles/PMC4143625/ /pubmed/25519310 http://dx.doi.org/10.1186/1753-6561-8-S1-S1 Text en Copyright © 2014 Bickeböller 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 Bickeböller, Heike Bailey, Julia N Beyene, Joseph Cantor, Rita M Cordell, Heather J Culverhouse, Robert C Engelman, Corinne D Fardo, David W Ghosh, Saurabh König, Inke R Lorenzo Bermejo, Justo Melton, Phillip E Santorico, Stephanie A Satten, Glen A Sun, Lei Tintle, Nathan L Ziegler, Andreas MacCluer, Jean W Almasy, Laura Genetic Analysis Workshop 18: Methods and strategies for analyzing human sequence and phenotype data in members of extended pedigrees |
title | Genetic Analysis Workshop 18: Methods and strategies for analyzing human sequence and phenotype data in members of extended pedigrees |
title_full | Genetic Analysis Workshop 18: Methods and strategies for analyzing human sequence and phenotype data in members of extended pedigrees |
title_fullStr | Genetic Analysis Workshop 18: Methods and strategies for analyzing human sequence and phenotype data in members of extended pedigrees |
title_full_unstemmed | Genetic Analysis Workshop 18: Methods and strategies for analyzing human sequence and phenotype data in members of extended pedigrees |
title_short | Genetic Analysis Workshop 18: Methods and strategies for analyzing human sequence and phenotype data in members of extended pedigrees |
title_sort | genetic analysis workshop 18: methods and strategies for analyzing human sequence and phenotype data in members of extended pedigrees |
topic | Proceedings |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143625/ https://www.ncbi.nlm.nih.gov/pubmed/25519310 http://dx.doi.org/10.1186/1753-6561-8-S1-S1 |
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