Polygenic risk score distributions suggest that treatment resistance in schizophrenia is unlikely to be driven by schizophrenia associated common variations
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Rose Mary Xavier PhD, MS, RN, PMHNP-BC; Brian M. Britt; Martilias Farrell PhD; Matthew K. Harner BA; Tyler E. Diettrich; Dawn M. Filmyer PhD; Lisa M. Bruno; Raquel E. Gur MD, PhD; Laura Almasy PhD; Patrick F. Sullivan MD, FRANZCP; Richard Josiassen PhD
- Sigma Affiliation
- Alpha Alpha
- Contributor Affiliation(s)
- The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
This work will extend the current approach in the field and has the potential to decode the etiopathogenesis of schizophrenia by focusing on symptom domains which not only have important and direct clinical outcomes but that are refractory to existing treatments. Utilizing advances in statistical and bioinformatic methods this study proposes to examine the functional mechanisms of psychotic and schizophrenia symptoms in the developmental period in a sample of youth and in patients diagnosed with schizophrenia.
Rose Mary Xavier, PhD, MS, RN, PMHNP-BC is the recipient of the Sigma/Western Institute of Nursing Research Grant, 2018-2019 cohort. Additional funding information: NIMH K01 MH108894
The Sigma Theta Tau International grant application that funded this research, in whole or in part, was completed by the applicant and peer-reviewed prior to the award of the Sigma grant. No further peer-review has taken place upon the completion of the Sigma grant final report and its appearance in this repository.
| Type | Poster |
| Acquisition | Self-submission |
| Review Type | None: Sigma Grant Recipient Report |
| Format | Text-based Document |
| Evidence Level | Other |
| Research Approach | Quantitative Research |
| Keywords | Schizophrenia; Treatment Resistance |
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