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Keywords inclusion bias biobank studies genome-wide association study phenome-wide association study precision medicine inverse probability weighting Introduction Electronic health record (EHR)-linked biobanks from health systems offer great promise for precision medicine1,2,3,4 and are increasingly common and well powered for the discovery of phenotypic and genetic associations with clinical features.5,6 These biobanks can facilitate personalized risk assessment by leveraging molecular data...
Keywords major depressive disorder genetics antidepressant response treatment-related phenotypes electronic health records polygenic risk scores biobanks diverse ancestry Get full text access Log in, subscribe or purchase for full access. References 1. Murphy, E. ∙ Hou, L. ∙ Maher, B.S. ... Race, genetic ancestry and response to antidepressant treatment for major depression Neuropsychopharmacology. 2013; 38:2598-2606 2. Nakano, W. ∙ Mehta, D. ∙ Ising, M. ...
The authors have declared no competing interest. The research reported here was supported by T15 LM013976 (to AP), R00 MH116115 (to LMOL), R01 MH137219 (to LMOL), U01 MH125042 (to LMOL), and U01 HG011715 (to BP). I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.
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