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A Shortcut Approach for Large-scale Mixed Model Associations with Binary Traits

2021-03-26

Abstract excerpt

Generalized linear mixed models exhibit computationally intensive and biasness in mapping quantitative trait nucleotides for binary diseases. In genomic logit regression, we consider genomic breeding values estimated in advance as a known predictor, and then correct the deflated association test statistics by using genomic control, thereby successfully extending GRAMMAR-Lambda to analyze binary diseases in a compl...

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Literature Corpus work
105f2162-082e-5ed2-a80f-eae32434f792
DOI
10.21203/rs.3.rs-312421/v2
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A Shortcut Approach for Large-scale Mixed Model Associations with Binary TraitsDOI 10.21203/rs.3.rs-312421/v2
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