Search

Treatment-resistant schizophrenia (TRS) affects around one-third of individuals with schizophrenia. Although a number of sociodemographic and clinical predictors of TRS have been identified, data on the genetic risk of TRS are sparse. We aimed to investigate the association between a polygenic risk score for schizophrenia and treatment resistance in patients with schizophrenia. We conducted a nationwide, population-based follow-up study among all Danish individuals born after 1981 and with an incident diagnosis of schizophrenia between 1999 and 2007. Based on genome-wide data polygenic risk scores for schizophrenia were calculated in 862 individuals with schizophrenia. TRS was defined as either clozapine initiation or at least 2 periods of different antipsychotic monotherapies and still being hospitalized. We estimated hazard rate ratios (HRs) for TRS in relation to the polygenic risk score while adjusting for population stratification, age, sex, geographical area at birth, clinical treatment setting, psychiatric comorbidity, and calendar year. Among the 862 individuals with schizophrenia, 181 (21.0%) met criteria for TRS during 4674 person-years of follow-up. We found no significant association between the polygenic risk score and TRS, adjusted HR = 1.13 (95% CI: 0.95-1.35). Based on these results, the use of the polygenic risk score for schizophrenia to identify individuals with TRS is at present inadequate to be of clinical utility at the individual patient level. Future research should include larger genetic samples in combination with non-genetic markers. Moreover, a TRS-specific developed polygenic risk score would be of great interest towards early prediction of TRS., (© The Author 2017. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Two direct 125I radioimmunoassays for 17 beta-estradiol were evaluated by comparing results with those obtained by a comparison RIA involving extraction and chromatography (x) and with ultrasound parameters of ovarian activity. The correlation coefficients (R2) for the Immuchem Covalent-Coat Solid Phase 125I results (y1) and the Pantex Immuno-direct results (y2) with the comparison method results were 0.56 and 0.96, respectively, after log transformation of data (N = 42). Similar differences were observed in the correlations with the ultrasound parameters. We also evaluated the untransformed data by linear regression and obtained: y1 = 254 + 0. 410x (R2 = 0.65) and y2 = 48.2 + 0. 749x (R2 = 0.96). Between- and within-assay variations for a serum pool containing 17 beta-estradiol at 1278 pg/mL were respectively 9.0% and 9.4% for Immuchem , 3.3% and 6.7% for Pantex , and 7.3% and 9.4% for the comparison method; for the 267 pg/mL pool, these were 21.8% and 16.6% for Immuchem , 4.7% and 4.6% for Pantex , and 21.2% and 13.1% for the comparison method. Differences in the results obtained with the Pantex method and the comparison method were not clinically significant for monitoring superovulation for in vitro fertilization; the performance of the Immuchem method was less satisfactory.