eprintid: 22245 rev_number: 11 eprint_status: archive userid: 1589 dir: disk0/00/02/22/45 datestamp: 2016-12-05 14:10:22 lastmod: 2024-04-17 08:44:18 status_changed: 2016-12-05 14:10:22 type: article metadata_visibility: show creators_name: Engelman, Corinne D. creators_name: Greenwood, Celia M. T. creators_name: Bailey, Julia N. creators_name: Cantor, Rita M. creators_name: Kent, Jack W. creators_name: König, Inke R. creators_name: Lorenzo Bermejo, Justo creators_name: Melton, Phillip E. creators_name: Santorico, Stephanie A. creators_name: Schillert, Arne creators_name: Wijsman, Ellen M. creators_name: MacCluer, Jean W. creators_name: Almasy, Laura title: Genetic Analysis Workshop 19: methods and strategies for analyzing human sequence and gene expression data in extended families and unrelated individuals subjects: 610 divisions: 911800 note: From Genetic Analysis Workshop 19, Vienna, Austria. 24-26 August 2014. Erschienen in: BMC Proceedings 2016, 10 (Suppl 7):19 abstract: Genetic Analysis Workshop 19 provided a platform for developing and evaluating statistical methods to analyze whole-genome sequence and gene expression data from a pedigree-based sample, as well as whole-exome sequence data from a large cohort of unrelated individuals. In this article we present an overview of the data sets, the GAW experience, and summaries of the contributions arranged into nine methodological themes. date: 2016 publisher: BioMed Central id_scheme: DOI ppn_swb: 1654410195 own_urn: urn:nbn:de:bsz:16-heidok-222450 language: eng bibsort: ENGELMANCOGENETICANA2016 full_text_status: public publication: BMC Proceedings volume: 10 number: 19 place_of_pub: London pagerange: 1-4 issn: 1753-6561 citation: Engelman, Corinne D. ; Greenwood, Celia M. T. ; Bailey, Julia N. ; Cantor, Rita M. ; Kent, Jack W. ; König, Inke R. ; Lorenzo Bermejo, Justo ; Melton, Phillip E. ; Santorico, Stephanie A. ; Schillert, Arne ; Wijsman, Ellen M. ; MacCluer, Jean W. ; Almasy, Laura (2016) Genetic Analysis Workshop 19: methods and strategies for analyzing human sequence and gene expression data in extended families and unrelated individuals. BMC Proceedings, 10 (19). pp. 1-4. ISSN 1753-6561 document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/22245/1/12919_2016_Article_7.pdf