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A re-formulation of generalized linear mixed models to fit family data in genetic association studies
The generalized linear mixed model (GLMM) is a useful tool for modeling genetic correlation among family data in genetic association studies. However, when dealing with families of varied sizes and diverse genetic relatedness, the GLMM has a special correlation structure which often makes it difficu...
Autores principales: | Wang, Tao, He, Peng, Ahn, Kwang Woo, Wang, Xujing, Ghosh, Soumitra, Laud, Purushottam |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4379931/ https://www.ncbi.nlm.nih.gov/pubmed/25873936 http://dx.doi.org/10.3389/fgene.2015.00120 |
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