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...
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Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143625/ |
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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 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. |
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Open Access Journal |
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Foreign Institution |
institution |
US National Center for Biotechnology Information |
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NCBI PubMed |
collection |
Online Access |
language |
English |
format |
Online |
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 |
spellingShingle |
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 |
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 |
title |
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_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_sort |
genetic analysis workshop 18: methods and strategies for analyzing human sequence and phenotype data in members of extended pedigrees |
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. |
publisher |
BioMed Central |
publishDate |
2014 |
url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143625/ |
_version_ |
1613127360895254528 |