Whole genome analysis reveals new potential drug targets as predictors of 
antidepressant treatment response

Lucae, S.; Marcus, I.; Saemann, P.; Bettecken, T.; Uhr, M.; Ripke, S.; Kohli, M.; Kloiber, S.; Bondy, B.; Rupprecht, R.; Domschke, K.; Arolt, V.; Lichtner, P.; Holsboer, F.; Müller-Myhsok, B.

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Whole genome analysis reveals new potential drug targets as predictors of antidepressant treatment response

MPS-Authors

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Lucae, S.
AG Lucae, Susanne, Florian Holsboer (Direktor), Max Planck Institute of Psychiatry, Max Planck Society;

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Saemann, P.
AG Czisch, Michael, Florian Holsboer (Direktor), Max Planck Institute of Psychiatry, Max Planck Society;

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Bettecken, T.
Max Planck Institute of Psychiatry, Max Planck Society;

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Uhr, M.
AG Uhr, Manfred, Florian Holsboer (Direktor), Max Planck Institute of Psychiatry, Max Planck Society;

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Ripke, S.
AG Müller-Myhsok, Bertram, Florian Holsboer (Direktor), Max Planck Institute of Psychiatry, Max Planck Society;

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Kloiber, S.
AG Lucae, Susanne, Florian Holsboer (Direktor), Max Planck Institute of Psychiatry, Max Planck Society;

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Rupprecht, R.
Rainer Rupprecht (Max-Planck Fellow), Max Planck Institute of Psychiatry, Max Planck Society;

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Holsboer, F.
Florian Holsboer (Direktor), Max Planck Institute of Psychiatry, Max Planck Society;

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Müller-Myhsok, B.
AG Müller-Myhsok, Bertram, Florian Holsboer (Direktor), Max Planck Institute of Psychiatry, Max Planck Society;

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Citation

Lucae, S., Marcus, I., Saemann, P., Bettecken, T., Uhr, M., Ripke, S., et al. (2007). Whole genome analysis reveals new potential drug targets as predictors of antidepressant treatment response. Pharmacopsychiatry, 40(5), 213-213.

Cite as: https://hdl.handle.net/11858/00-001M-0000-000E-9690-2

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