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- W4387476761 abstract "Patients with schizophrenia have substantial comorbidity contributing to reduced life expectancy of 10-20 years. In fact, 64% of patients have more than one comorbidity (multi-morbidity) increasing mortality further. Identifying which comorbidities might be modifiable could improve rates of premature mortality in this population. We hypothesize that conditions that frequently co-occur but lack shared genetic risk with schizophrenia are more likely to be products of treatment, behavior, or environmental factors and therefore potentially modifiable. To test this hypothesis, phenome-wide comorbidity from electronic health records (EHR) was estimated from logistic regressions of pairwise comparisons of all phecodes with demographic and utilization as covariates. Comorbidity was calculated in 250,000 randomly selected patients separately in two independent health care systems (Vanderbilt University Medical Center, VUMC; Mass General Brigham, MGB) and then combined through weighted average. Schizophrenia polygenic risk scores (PRS) were calculated within each institute's genotyped datasets (∼65k VUMC; ∼25K MGB) and then combined through meta-analysis. A TOST test of equivalence was used to statistically identify which phenotypic associations had well powered absence of association with schizophrenia PRS and then were summarized across sites with Fisher's method for combining p-values. Comorbidity with schizophrenia was significantly correlated across institutions (r = 0.85) and consistent with prior literature. After multiple test correction, there were 77 significant phecodes comorbid with schizophrenia. Overall, comorbidity and PRS associations were highly correlated (r = 0.55, p = 1.29 × 10-118), however, 36 of the EHR identified comorbidities had significantly equivalent schizophrenia PRS distributions between cases and controls. Fifteen of these lacked any PRS association and were enriched for phenotypes known to be side effects of antipsychotic medications (e.g., “movement disorders”, “convulsions”, “tachycardia”) or other schizophrenia related factors such as from smoking (“bronchitis”) or reduced hygiene (e.g., “diseases of the nail”) highlighting the validity of this approach. Other phenotypes implicated by this approach where the contribution from shared common genetic risk with schizophrenia was minimal included tobacco use disorder, diabetes, and dementia. This work demonstrates the consistency and robustness of EHR-based schizophrenia comorbidities across independent institutions and with the existing literature. We present an approach that intersects EHR-based comorbidities with PRS-based genetic associations to identify comorbidities with an absence of shared genetic risk. Thus, indicating other causes that might be more modifiable such as behavior, treatment, or environment and identifying where further study of causal pathways could improve outcomes for patients. Overall, this work provides a path to better understanding comorbidities which might be more easily modified to improve outcomes." @default.
- W4387476761 created "2023-10-11" @default.
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- W4387476761 date "2023-10-01" @default.
- W4387476761 modified "2023-10-16" @default.
- W4387476761 title "63. IDENTIFYING MODIFIABLE COMORBIDITIES OF SCHIZOPHRENIA BY INTEGRATING ELECTRONIC HEALTH RECORDS AND POLYGENIC RISK" @default.
- W4387476761 doi "https://doi.org/10.1016/j.euroneuro.2023.08.168" @default.
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