Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies

In genome-wide association studies (GWAS) for thousands of phenotypes in large biobanks, most binary traits have substantially fewer cases than controls. Both of the widely used approaches, linear mixed model and the recently proposed logistic mixed model, perform poorly - producing large type I err...

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Detalles Bibliográficos
Autores principales: Zhou, Wei, Nielsen, Jonas B., Fritsche, Lars G., Dey, Rounak, Gabrielsen, Maiken E., Wolford, Brooke N., LeFaive, Jonathon, VandeHaar, Peter, Gagliano, Sarah A., Gifford, Aliya, Bastarache, Lisa A., Wei, Wei-Qi, Denny, Joshua C., Lin, Maoxuan, Hveem, Kristian, Kang, Hyun Min, Abecasis, Goncalo R., Willer, Cristen J., Lee, Seunggeun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6119127/
https://www.ncbi.nlm.nih.gov/pubmed/30104761
http://dx.doi.org/10.1038/s41588-018-0184-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6119127/
https://www.ncbi.nlm.nih.gov/pubmed/30104761
http://dx.doi.org/10.1038/s41588-018-0184-y

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