Ancestry may confound genetic machine learning: Candidate-gene prediction of opioid use disorder as an example.

Abstract excerpt

BACKGROUND: Machine learning (ML) models are beginning to proliferate in psychiatry, however machine learning models in psychiatric genetics have not always accounted for ancestry. Using an empirical example of a proposed genetic test for OUD, and exploring a similar test for tobacco dependence and a simulated binary phenotype, we show that genetic prediction using ML is vulnerable to ancestral confounding....

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Black People
• Share to Machine Learning