BGWAS: Bayesian variable selection in linear mixed models with nonlocal priors for genome-wide association studies

BACKGROUND: Genome-wide association studies (GWAS) seek to identify single nucleotide polymorphisms (SNPs) that cause observed phenotypes. However, with highly correlated SNPs, correlated observations, and the number of SNPs being two orders of magnitude larger than the number of observations, GWAS...

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Detalles Bibliográficos
Autores principales: Williams, Jacob, Xu, Shuangshuang, 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/PMC10176706/
https://www.ncbi.nlm.nih.gov/pubmed/37170185
http://dx.doi.org/10.1186/s12859-023-05316-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10176706/
https://www.ncbi.nlm.nih.gov/pubmed/37170185
http://dx.doi.org/10.1186/s12859-023-05316-x

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