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Author Notes:
Corresponding author: Heike Bickebooller hbickeb@gwdg.de
HB, JNB, RMC, HJC, RCC, CDE, DWF, SG, IRK, JLB, PEM, SAS, GAS, LS, NLT, AZ, JWM, and LA participated in workshop organization and editing of the GAW18 proceedings.
HB drafted the text of this manuscript with contributions from LA.
All authors read and approved the final manuscript.
See Publication for full list of Acknowledgements.
AZ received intramural funding from the University of Lübeck, Germany.
All other authors declare that they have no competing interests.
Subjects:
Keywords:
- Genetic Analysis Workshop
- statistical methods
- whole-genome sequencing
- pedigree-based sample
- data set
- family data
- sequence-level genotypes
- phenotypes
- research groups
Genetic Analysis Workshop 18: Methods and strategies for analyzing human sequence and phenotype data in members of extended pedigrees
Abstract:
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.
Copyright information:
© 2014 Bickeböller et al.; licensee BioMed Central Ltd.
This is an Open Access work distributed under the terms of the Creative Commons Attribution 2.0 Generic License (http://creativecommons.org/licenses/by/2.0/).
