Cargando…
PheGWAS: a new dimension to visualize GWAS across multiple phenotypes
MOTIVATION: PheGWAS was developed to enhance exploration of phenome-wide pleiotropy at the genome-wide level through the efficient generation of a dynamic visualization combining Manhattan plots from GWAS with PheWAS to create a 3D ‘landscape’. Pleiotropy in sub-surface GWAS significance strata can...
Autores principales: | George, Gittu, Gan, Sushrima, Huang, Yu, Appleby, Philip, Nar, A S, Venkatesan, Radha, Mohan, Viswanathan, Palmer, Colin N A, Doney, Alex S F |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7178436/ https://www.ncbi.nlm.nih.gov/pubmed/31860083 http://dx.doi.org/10.1093/bioinformatics/btz944 |
Ejemplares similares
-
Learning Opportunities for Drug Repositioning via GWAS and PheWAS Findings
por: Yin, Wen, et al.
Publicado: (2018) -
GWAS and PheWAS of red blood cell components in a Northern Nevadan cohort
por: Read, Robert W., et al.
Publicado: (2019) -
Problems in interpreting and using GWAS of conditional phenotypes illustrated by “alcohol GWAS”
por: Holmes, Michael V, et al.
Publicado: (2018) -
BTOB: Extending the Biased GWAS to Bivariate GWAS
por: Zhu, Junxian, et al.
Publicado: (2021) -
Active repurposing of drug candidates for melanoma based on GWAS, PheWAS and a wide range of omics data
por: Khosravi, Ali, et al.
Publicado: (2019)