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Genome-wide multiphenotype and eQTL analyses provide novel insights into omega fatty acid metabolism and Type 2 diabetes
File(s)
Author(s)
Kaakinen, Marika
Claringbould, Annique
Hagenbeek, Fiona
Magi, Reedik
Ala-Korpela, Mika
Type
Conference Paper
Date Issued
2016-06-01
Date Acceptance
2016-06-01
Citation
Diabetes, 2016, 65, pp.A52-A52
URI
DOI
ISSN
0012-1797
Publisher
American Diabetes Association
Start Page
A52
End Page
A52
Journal / Book Title
Diabetes
Volume
65
Copyright Statement
© 2016 by the American Diabetes Association.
Sponsor
Commission of the European Communities
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000398372800197&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
626461
Source
76th Scientific Sessions of the American-Diabetes-Association
Subjects
Science & Technology
Life Sciences & Biomedicine
Endocrinology & Metabolism
Publication Status
Published
Start Date
2016-06-10
Finish Date
2016-06-14
Coverage Spatial
New Orleans, LA