Cargando…
Integrative genomics analysis identifies five promising genes implicated in insomnia risk based on multiple omics datasets
In recent decades, many genome-wide association studies on insomnia have reported numerous genes harboring multiple risk variants. Nevertheless, the molecular functions of these risk variants conveying risk to insomnia are still ill-studied. In the present study, we integrated GWAS summary statistic...
Autores principales: | Sun, Haozhen, Zhang, Jianhua, Ma, Yunlong, Liu, Jingjing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Portland Press Ltd.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7468094/ https://www.ncbi.nlm.nih.gov/pubmed/32830860 http://dx.doi.org/10.1042/BSR20201084 |
Ejemplares similares
-
Integrative genomics analysis identifies promising SNPs and genes implicated in tuberculosis risk based on multiple omics datasets
por: Xu, Mengqiu, et al.
Publicado: (2020) -
A computational procedure to identify significant overlap of differentially expressed and genomic imbalanced regions in cancer datasets(†)
por: Bicciato, Silvio, et al.
Publicado: (2009) -
Integrating omics datasets with the OmicsPLS package
por: Bouhaddani, Said el, et al.
Publicado: (2018) -
Integration of multi-omics data of a genome-reduced bacterium: Prevalence of post-transcriptional regulation and its correlation with protein abundances
por: Chen, Wei-Hua, et al.
Publicado: (2016) -
Multiple kernel learning for integrative consensus clustering of omic datasets
por: Cabassi, Alessandra, et al.
Publicado: (2020)