Dataset Information

Interaction of FKBP5 gene variants and adverse life events in predicting depression onset: results from a 10-year prospective community study.

ABSTRACT: The binding protein FKBP5 is an important modulator of the function of the glucocorticoid receptor, the main receptor of the stress hormone system. This turns the FKBP5 gene into a key candidate for gene-environment interactions, which are considered critical for pathogenesis of stress-related disorders. The authors explored gene-environment interactions between FKBP5 gene variants and adverse life events in predicting the first occurrence of a major depressive episode.The analyses were based on 884 Caucasians in a 10-year prospective community study. At baseline, they were 14-24 years old and did not fulfill criteria for a major depressive episode. The DSM-IV-based Munich Composite International Diagnostic Interview was used to assess adverse life events preceding baseline and major depressive episodes during follow-up. On the basis of previous findings, five single-nucleotide polymorphisms (SNPs) within the FKBP5 gene were selected for genotyping.While the authors did not observe genetic main effects, they found interactions between the five SNPs and traumatic (but not separation) events, with the strongest effect for severe trauma. The effect of trauma on incident major depressive episodes was evident among subjects homozygous for the minor alleles but not subjects with other genotypes. The findings were replicated in the U.K. Environmental Risk Longitudinal Twin Study.These hypothesis-driven results suggest that an interaction between FKBP5 genotype and trauma is involved in the onset of depression. Subjects homozygous for the minor alleles of the investigated FKBP5 SNPs seem to be particularly sensitive to effects of trauma exposure in terms of triggering depression onset.

SUBMITTER: Zimmermann P

PROVIDER: S-EPMC3856576 | biostudies-literature | 2011 Oct

REPOSITORIES: biostudies-literature

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Interaction of FKBP5 gene variants and adverse life events in predicting depression onset: results from a 10-year prospective community study.

Zimmermann Petra P Brückl Tanja T Nocon Agnes A Pfister Hildegard H Binder Elisabeth B EB Uhr Manfred M Lieb Roselind R Moffitt Terrie E TE Caspi Avshalom A Holsboer Florian F Ising Marcus M

The American journal of psychiatry 20110824 10

<h4>Objective</h4>The binding protein FKBP5 is an important modulator of the function of the glucocorticoid receptor, the main receptor of the stress hormone system. This turns the FKBP5 gene into a key candidate for gene-environment interactions, which are considered critical for pathogenesis of stress-related disorders. The authors explored gene-environment interactions between FKBP5 gene variants and adverse life events in predicting the first occurrence of a major depressive episode.<h4>Meth ...[more]

PMID: 21865530

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Project description:Background Carotid endarterectomy (CEA) is a major vascular operation for stroke prevention that carries significant perioperative risks; however, outcome prediction tools remain limited. The authors developed machine learning algorithms to predict outcomes following CEA. Methods and Results The National Surgical Quality Improvement Program targeted vascular database was used to identify patients who underwent CEA between 2011 and 2021. Input features included 36 preoperative demographic/clinical variables. The primary outcome was 30-day major adverse cardiovascular events (composite of stroke, myocardial infarction, or death). The data were split into training (70%) and test (30%) sets. Using 10-fold cross-validation, 6 machine learning models were trained using preoperative features. The primary metric for evaluating model performance was area under the receiver operating characteristic curve. Model robustness was evaluated with calibration plot and Brier score. Overall, 38 853 patients underwent CEA during the study period. Thirty-day major adverse cardiovascular events occurred in 1683 (4.3%) patients. The best performing prediction model was XGBoost, achieving an area under the receiver operating characteristic curve of 0.91 (95% CI, 0.90-0.92). In comparison, logistic regression had an area under the receiver operating characteristic curve of 0.62 (95% CI, 0.60-0.64), and existing tools in the literature demonstrate area under the receiver operating characteristic curve values ranging from 0.58 to 0.74. The calibration plot showed good agreement between predicted and observed event probabilities with a Brier score of 0.02. The strongest predictive feature in our algorithm was carotid symptom status. Conclusions The machine learning models accurately predicted 30-day outcomes following CEA using preoperative data and performed better than existing tools. They have potential for important utility in guiding risk-mitigation strategies to improve outcomes for patients being considered for CEA.

Dataset Information

Interaction of FKBP5 gene variants and adverse life events in predicting depression onset: results from a 10-year prospective community study.

Publications

Interaction of FKBP5 gene variants and adverse life events in predicting depression onset: results from a 10-year prospective community study.

Similar Datasets

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