Cargando…
BTOB: Extending the Biased GWAS to Bivariate GWAS
In recent years, a number of literatures published large-scale genome-wide association studies (GWASs) for human diseases or traits while adjusting for other heritable covariate. However, it is known that these GWASs are biased, which may lead to biased genetic estimates or even false positives. In...
Autores principales: | Zhu, Junxian, Fan, Qiao, Deng, Wenying, Wang, Yimeng, Guo, Xiaobo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8134661/ https://www.ncbi.nlm.nih.gov/pubmed/34025719 http://dx.doi.org/10.3389/fgene.2021.654821 |
Ejemplares similares
-
Stability of Bivariate GWAS Biomarker Detection
por: Bedő, Justin, et al.
Publicado: (2014) -
From GWAS to Gene: Transcriptome-Wide Association Studies and Other Methods to Functionally Understand GWAS Discoveries
por: Li, Binglan, et al.
Publicado: (2021) -
10 Years of GWAS in intraocular pressure
por: Gao, Xiaoyi Raymond, et al.
Publicado: (2023) -
A review of post-GWAS prioritization approaches
por: Hou, Lin, et al.
Publicado: (2013) -
Six Degrees of Epistasis: Statistical Network Models for GWAS
por: McKinney, B. A., et al.
Publicado: (2012)