Addressing the missing data issue in multi-phenotype genome-wide association studies
File(s)Anasanti-Mila.docx (18.33 KB)
Submitted version
Author(s)
Anasanti, Mila D
Kaakinen, Marika
Prokopenko, Inga
Type
Conference Paper
Date Issued
2017-11-01
Date Acceptance
2017-08-01
Citation
Genetic Epidemiology, 2017, 41 (7), pp.708-708
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
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000413035000176&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Source
Annual Meeting of the International-Genetic-Epidemiology-Society (IGES)
Subjects
Science & Technology
Life Sciences & Biomedicine
Genetics & Heredity
Mathematical & Computational Biology
Publication Status
Published
Start Date
2017-09-09
Finish Date
2017-09-11
Coverage Spatial
Queens Coll, Cambridge, England
Date Publish Online
2017-08-21