Iterative Usage of Fixed and Random Effect Models for Powerful and Efficient Genome-Wide Association Studies

False positives in a Genome-Wide Association Study (GWAS) can be effectively controlled by a fixed effect and random effect Mixed Linear Model (MLM) that incorporates population structure and kinship among individuals to adjust association tests on markers; however, the adjustment also compromises t...

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Detalles Bibliográficos
Autores principales: Liu, Xiaolei, Huang, Meng, Fan, Bin, Buckler, Edward S., Zhang, Zhiwu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4734661/
https://www.ncbi.nlm.nih.gov/pubmed/26828793
http://dx.doi.org/10.1371/journal.pgen.1005767

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4734661/
https://www.ncbi.nlm.nih.gov/pubmed/26828793
http://dx.doi.org/10.1371/journal.pgen.1005767

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