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Meta-analysis in genome-wide association studies : application to type 2 diabetes

Author: Eleftheria Zeggini
Publisher: London : Henry Stewart Talks, 2008.
Series: Henry Stewart talks., Biomedical & life sciences collection., Statistical methods for the analysis of genome-wide association studies : practical advice and guidance.
Edition/Format:   eVideo : Clipart/images/graphics : EnglishView all editions and formats
Database:WorldCat
Summary:
Audio-visual presentation: Genetic architecture of common complex diseases -- Genome-wide association scans -- Genome-wide association scan methodology -- Application to type 2 diabetes genome-wide association scan data.
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Material Type: Clipart/images/graphics, Internet resource, Videorecording
Document Type: Internet Resource, Computer File, Visual material
All Authors / Contributors: Eleftheria Zeggini
OCLC Number: 310381979
Notes: Title from title frames.
Animated audio-visual presentation with synchronized narration.
Description: 1 streaming video file (27 min.) : digital, mono, SWF file, sound, color.
Details: Mode of access: World Wide Web.; System requirements: Operating System: PC Windows 2000+, Mac OSX+ 3.2. Browser Compatibility: IE6+, Firefox 2+, Opera 9+, Safari 2+ 3.3. Browser settings: enable JavaScript, enable popups from the Henry Stewart Talks site. 3.4. Required Browser Plugins & Viewers: Adobe (Macromedia) Flash Player 7+, Adobe Acrobat Reader6.0+.
Contents: Genetic architecture of common complex diseases --
Genome-wide association scans --
Genome-wide association scan methodology --
Application to type 2 diabetes genome-wide association scan data.
Series Title: Henry Stewart talks., Biomedical & life sciences collection., Statistical methods for the analysis of genome-wide association studies : practical advice and guidance.
Other Titles: Meta-analysis of GWAS
Responsibility: Eleftheria Zeggini.
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Abstract:

Audio-visual presentation: Genetic architecture of common complex diseases -- Genome-wide association scans -- Genome-wide association scan methodology -- Application to type 2 diabetes genome-wide association scan data.

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