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Addressing the missing data issue in multi-phenotype genome-wide association studies
File | Description | Size | Format | |
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Anasanti-Mila.docx | Submitted version | 18.33 kB | Microsoft Word | View/Open |
Title: | Addressing the missing data issue in multi-phenotype genome-wide association studies |
Authors: | Anasanti, MD Kaakinen, M Prokopenko, I |
Item Type: | Conference Paper |
Issue Date: | 1-Nov-2017 |
Date of Acceptance: | 1-Aug-2017 |
URI: | http://hdl.handle.net/10044/1/67099 |
DOI: | https://dx.doi.org/10.1002/gepi.22062 |
ISSN: | 0741-0395 |
Publisher: | Wiley |
Start Page: | 708 |
End Page: | 708 |
Journal / Book Title: | Genetic Epidemiology |
Volume: | 41 |
Issue: | 7 |
Copyright Statement: | © 2017 Wiley Periodicals, Inc. This is the accepted version of the following article: (2017), The 2017 Annual Meeting of the International Genetic Epidemiology Society. Genet. Epidemiol., 41: 644-709., which has been published in final form at https://dx.doi.org/10.1002/gepi.22062 |
Conference Name: | Annual Meeting of the International-Genetic-Epidemiology-Society (IGES) |
Keywords: | Science & Technology Life Sciences & Biomedicine Genetics & Heredity Mathematical & Computational Biology 1117 Public Health And Health Services 0604 Genetics Epidemiology |
Publication Status: | Published |
Start Date: | 2017-09-09 |
Finish Date: | 2017-09-11 |
Conference Place: | Queens Coll, Cambridge, England |
Online Publication Date: | 2017-08-21 |
Appears in Collections: | Department of Medicine (up to 2019) |