Evaluation of GENESIS, SAIGE, REGENIE and fastGWA-GLMM for genome-wide association studies of binary traits in correlated data

Performing a genome-wide association study (GWAS) with a binary phenotype using family data is a challenging task. Using linear mixed effects models is typically unsuitable for binary traits, and numerical approximations of the likelihood function may not work well with rare genetic variants with sm...

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Detalles Bibliográficos
Autores principales: Gurinovich, Anastasia, Li, Mengze, Leshchyk, Anastasia, Bae, Harold, Song, Zeyuan, Arbeev, Konstantin G., Nygaard, Marianne, Feitosa, Mary F, Perls, Thomas T, Sebastiani, Paola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9544087/
https://www.ncbi.nlm.nih.gov/pubmed/36212134
http://dx.doi.org/10.3389/fgene.2022.897210

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9544087/
https://www.ncbi.nlm.nih.gov/pubmed/36212134
http://dx.doi.org/10.3389/fgene.2022.897210

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