These publications are examples of research made possible with data from CanPath and its regional cohorts.


Multivariate extension of penalized regression on summary statistics to construct polygenic risk scores for correlated traits

Authors: Meriem Bahda, Jasmin Ricard, Simon L. Girard, Michel Maziade, Maripier Isabelle, Alexandre Bureau

The authors developed a summary-statistics-based multivariate penalized regression approach to improve the prediction of complex human traits and disorders, such as schizophrenia and bipolar disorder, by considering genetic correlations between these conditions. The study utilized genotypes from 29,330 subjects from the CARTaGENE cohort to determine the predictive performance of polygenic risk scores (PRS) for genetically correlated traits in simulation for several PRS construction methods.

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