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Article

Evaluation of tree-based statistical learning methods for constructing genetic risk scores.

BMC bioinformatics - 21 Mar 2022

Lau Michael, Wigmann Claudia, Kress Sara, Schikowski Tamara, Schwender Holger

Abstract excerpt

BACKGROUND: Genetic risk scores (GRS) summarize genetic features such as single nucleotide polymorphisms (SNPs) in a single statistic with respect to a given trait. So far, GRS are typically built using generalized linear models or regularized extensions. However, these linear methods are usually not able to incorporate gene-gene interactions or non-linear SNP-response relationships. Tree-based statistical...

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PMID: 35313824
DOI: 10.1186/s12859-022-04634-w
PMCID: PMC8935722

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