Han et al. [185] tested this model integrating 198 features (146 proteomic, 22 sociodemographic and 30 clinical) with regularized regression (LASSO [186]), finding that the combination of divorce/separation and BDNF levels had higher predictive accuracy for post-stroke depression than either factor alone, which was further increased by a history of smoking. This evidence concerns the gene BDNF and depressive disorder.