Article

A Scalable Adaptive Quadratic Kernel Method for Interpretable Epistasis Analysis in Complex Traits

2024-03-11

Abstract excerpt

Our knowledge of the contribution of genetic interactions ( epistasis ) to variation in human complex traits remains limited, partly due to the lack of efficient, powerful, and interpretable algorithms to detect interactions. Recently proposed approaches for set-based association tests show promise in improving power to detect epistasis by examining the aggregated effects of multiple variants. Nevertheless, these...

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Literature Corpus work: b8b567bd-c0d3-527b-be33-dee700de7571
DOI: 10.1101/2024.03.09.584250

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