Deciphering polygenic risk for inflammation and depressive symptoms: a network 
analysis approach

Kappelmann, N.; Kopf-Beck, J.; Khandaker, G. M.; Keck, M. E.

doi:10.1016/j.euroneuro.2019.09.049

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Deciphering polygenic risk for inflammation and depressive symptoms: a network analysis approach

Kappelmann, N., Kopf-Beck, J., Khandaker, G. M., & Keck, M. E. (2019). Deciphering polygenic risk for inflammation and depressive symptoms: a network analysis approach. EUROPEAN NEUROPSYCHOPHARMACOLOGY, 29, S16-S16. doi:10.1016/j.euroneuro.2019.09.049.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0009-624F-1 Version Permalink: https://hdl.handle.net/21.11116/0000-0009-6250-E

Genre: Journal Article

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Creators:
Kappelmann, N.^{1, 2}, Author
Kopf-Beck, J.¹, Author
Khandaker, G. M., Author
Keck, M. E.³, Author

Affiliations:
1Dept. Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Max Planck Society, ou_2035295
2IMPRS Translational Psychiatry, Max Planck Institute of Psychiatry, Max Planck Society, Kraepelinstr. 2-10, 80804 Munich, DE, ou_3318616
3Max Planck Institute of Psychiatry, Max Planck Society, ou_1607137

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Dates: Date issued: 2019

Publication Status: Issued

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Identifiers: ISI: 000502657500030
DOI: 10.1016/j.euroneuro.2019.09.049

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Title: EUROPEAN NEUROPSYCHOPHARMACOLOGY

Source Genre: Journal

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Pages: - Volume / Issue: 29 Sequence Number: - Start / End Page: S16 - S16 Identifier: ISSN: 0924-977X