Joint analysis of multiple phenotypes for extremely unbalanced case–control association studies using multi-layer network

MOTIVATION: Genome-wide association studies is an essential tool for analyzing associations between phenotypes and single nucleotide polymorphisms (SNPs). Most of binary phenotypes in large biobanks are extremely unbalanced, which leads to inflated type I error rates for many widely used association...

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Detalles Bibliográficos
Autores principales: Xie, Hongjing, Cao, Xuewei, Zhang, Shuanglin, Sha, Qiuying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10697735/
https://www.ncbi.nlm.nih.gov/pubmed/37991852
http://dx.doi.org/10.1093/bioinformatics/btad707

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10697735/
https://www.ncbi.nlm.nih.gov/pubmed/37991852
http://dx.doi.org/10.1093/bioinformatics/btad707

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