Proof of concept: Molecular prediction of schizophrenia risk
Anna R. Docherty, Arden Moscati, Daniel E. Adkins, Gemma T. Wallace, Guarav Kumar, Brien P. Riley, Aiden Peter Corvin, F. Anthony O’Neill, Michael Gill, Kenneth S. Kendler, Patrick F. Sullivan, Ayman H. Fanous, Silviu‐Alin Bacanu
This paper investigates how global polygenic risk scores, sex, and their interaction predict schizophrenia risk using a classification model, finding sex and polygenic risk are the strongest predictors.
bioRxiv · Apr 30, 2017 · PreprintGenomics