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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
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 |
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