BG2: Bayesian variable selection in generalized linear mixed models with nonlocal priors for non-Gaussian GWAS data

BACKGROUND: Genome-wide association studies (GWASes) aim to identify single nucleotide polymorphisms (SNPs) associated with a given phenotype. A common approach for the analysis of GWAS is single marker analysis (SMA) based on linear mixed models (LMMs). However, LMM-based SMA usually yields a large...

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Detalles Bibliográficos
Autores principales: Xu, Shuangshuang, Williams, Jacob, Ferreira, Marco A. R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10503129/
https://www.ncbi.nlm.nih.gov/pubmed/37715138
http://dx.doi.org/10.1186/s12859-023-05468-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10503129/
https://www.ncbi.nlm.nih.gov/pubmed/37715138
http://dx.doi.org/10.1186/s12859-023-05468-w

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