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1 Ergebnisse
1
Genome-wide association analyses identify 44 risk variants ..:
eQTLGen
;
Wray, Naomi R.
;
Ripke, Stephan
...
Nature Genetics. 50 (2018) 5 - p. 668-681 , 2018
Link:
https://doi.org/10.1038/s41588-018-0090-3
RT Journal T1
Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression
UL https://suche.suub.uni-bremen.de/peid=cr-10.1038_s41588-018-0090-3&Exemplar=1&LAN=DE A1 eQTLGen A1 Wray, Naomi R. A1 Ripke, Stephan A1 Mattheisen, Manuel A1 Trzaskowski, Maciej A1 Byrne, Enda M. A1 Abdellaoui, Abdel A1 Adams, Mark J. A1 Agerbo, Esben A1 Air, Tracy M. A1 Andlauer, Till M. F. A1 Bacanu, Silviu-Alin A1 Bækvad-Hansen, Marie A1 Beekman, Aartjan F. T. A1 Bigdeli, Tim B. A1 Binder, Elisabeth B. A1 Blackwood, Douglas R. H. A1 Bryois, Julien A1 Buttenschøn, Henriette N. A1 Bybjerg-Grauholm, Jonas A1 Cai, Na A1 Castelao, Enrique A1 Christensen, Jane Hvarregaard A1 Clarke, Toni-Kim A1 Coleman, Jonathan I. R. A1 Colodro-Conde, Lucía A1 Couvy-Duchesne, Baptiste A1 Craddock, Nick A1 Crawford, Gregory E. A1 Crowley, Cheynna A. PB Springer Science and Business Media LLC YR 2018 SN 1061-4036 SN 1546-1718 JF Nature Genetics VO 50 IS 5 SP 668 OP 681 LK http://dx.doi.org/https://doi.org/10.1038/s41588-018-0090-3 DO https://doi.org/10.1038/s41588-018-0090-3 SF ELIB - SuUB Bremen
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