Genome-Wide Association with Uncertainty in the Genetic Similarity Matrix
Genome-wide association studies (GWASs) are often confounded by population stratification and structure. Linear mixed models (LMMs) are a powerful class of methods for uncovering genetic effects, while controlling for such confounding. LMMs include random effects for a genetic similarity matrix, and...
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Veröffentlicht in: | Journal of computational biology 2023-02, Vol.30 (2), p.189-203 |
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Sprache: | eng |
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