Combining Sparse Group Lasso and Linear Mixed Model Improves Power to Detect Genetic Variants Underlying Quantitative Traits

Genome-Wide association studies (GWAS), based on testing one single nucleotide polymorphism (SNP) at a time, have revolutionized our understanding of the genetics of complex traits. In GWAS, there is a need to consider confounding effects such as due to population structure, and take groups of SNPs...

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Detalles Bibliográficos
Autores principales: Guo, Yingjie, Wu, Chenxi, Guo, Maozu, Zou, Quan, Liu, Xiaoyan, Keinan, Alon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469383/
https://www.ncbi.nlm.nih.gov/pubmed/31024614
http://dx.doi.org/10.3389/fgene.2019.00271

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469383/
https://www.ncbi.nlm.nih.gov/pubmed/31024614
http://dx.doi.org/10.3389/fgene.2019.00271

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