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Ludicrous Speed Linear Mixed Models for Genome-Wide Association Studies

https://doi.org/10.1101/154682
0 signed · 11 inferred · view as graph

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1017/s0016672308009981openalex-snapshot
Increased accuracy of artificial selection by using the realized relationship matrix
inferredcites →https://doi.org/10.1038/ng1702openalex-snapshot
A unified mixed-model method for association mapping that accounts for multiple levels of relatedness
inferredcites →https://doi.org/10.1038/nmeth.1681openalex-snapshot
FaST linear mixed models for genome-wide association studies
inferredcites →https://doi.org/10.1038/srep06874openalex-snapshot
Further Improvements to Linear Mixed Models for Genome-Wide Association Studies
inferredcites →https://doi.org/10.1534/genetics.107.080101openalex-snapshot
Efficient Control of Population Structure in Model Organism Association Mapping
inferredcites →https://doi.org/10.7551/mitpress/3206.001.0001openalex-snapshot
Gaussian Processes for Machine Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1038/s41467-025-66771-zopenalex-snapshot
PP-GWAS: Privacy Preserving Multi-Site Genome-wide Association Studies
inferred← citeshttps://doi.org/10.1038/s41598-021-99031-3openalex-snapshot
Controlling for background genetic effects using polygenic scores improves the power of genome-wide association studies
inferred← citeshttps://doi.org/10.1101/373902openalex-snapshot
Fast and flexible linear mixed models for genome-wide genetics
inferred← citeshttps://doi.org/10.1371/journal.pgen.1007978openalex-snapshot
Fast and flexible linear mixed models for genome-wide genetics
inferred← citeshttps://doi.org/10.48550/arxiv.2410.08122openalex-snapshot
PP-GWAS: Privacy Preserving Multi-Site Genome-wide Association Studies
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