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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| Main Authors: | , , , , , , , , , , , , , , , , , , |
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| Format: | Article (Journal) Conference Paper |
| Language: | English |
| Published: |
17 June 2014
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| In: |
BMC proceedings
Year: 2014, Volume: 8, Issue: 1 |
| ISSN: | 1753-6561 |
| DOI: | 10.1186/1753-6561-8-S1-S1 |
| Online Access: | Resolving-System, lizenzpflichtig, Volltext: https://doi.org/10.1186/1753-6561-8-S1-S1 Verlag, lizenzpflichtig, Volltext: https://bmcproc.biomedcentral.com/articles/10.1186/1753-6561-8-S1-S1 |
| Author Notes: | Heike Bickeböller, Julia N. Bailey, Joseph Beyene, Rita M. Cantor, Heather J. Cordell, Robert C. Culverhouse, Corinne D. Engelman, David W. Fardo, Saurabh Ghosh, Inke R. König, Justo Lorenzo Bermejo, Phillip E. Melton, Stephanie A. Santorico, Glen A. Satten, Lei Sun, Nathan L. Tintle, Andreas Ziegler, Jean W. MacCluer, Laura Almasy |
| Summary: | 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. |
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| Item Description: | Gesehen am 14.10.2020 |
| Physical Description: | Online Resource |
| ISSN: | 1753-6561 |
| DOI: | 10.1186/1753-6561-8-S1-S1 |