Title |
Genetic Analysis Workshop 18: Methods and strategies for analyzing human sequence and phenotype data in members of extended pedigrees
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Published in |
BMC Proceedings, June 2014
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DOI | 10.1186/1753-6561-8-s1-s1 |
Pubmed ID | |
Authors |
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 |
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. |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 6 | 26% |
Professor > Associate Professor | 4 | 17% |
Student > Ph. D. Student | 4 | 17% |
Other | 2 | 9% |
Student > Doctoral Student | 2 | 9% |
Other | 3 | 13% |
Unknown | 2 | 9% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 9 | 39% |
Biochemistry, Genetics and Molecular Biology | 5 | 22% |
Computer Science | 2 | 9% |
Medicine and Dentistry | 2 | 9% |
Mathematics | 1 | 4% |
Other | 2 | 9% |
Unknown | 2 | 9% |