Cargando…
Modeling regulatory network topology improves genome-wide analyses of complex human traits
Genome-wide association studies (GWAS) have cataloged many significant associations between genetic variants and complex traits. However, most of these findings have unclear biological significance, because they often have small effects and occur in non-coding regions. Integration of GWAS with gene...
Autores principales: | Zhu, Xiang, Duren, Zhana, Wong, Wing Hung |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8121952/ https://www.ncbi.nlm.nih.gov/pubmed/33990562 http://dx.doi.org/10.1038/s41467-021-22588-0 |
Ejemplares similares
-
Heritability enrichment in context-specific regulatory networks improves phenotype-relevant tissue identification
por: Feng, Zhanying, et al.
Publicado: (2022) -
Time course regulatory analysis based on paired expression and chromatin accessibility data
por: Duren, Zhana, et al.
Publicado: (2020) -
hReg-CNCC reconstructs a regulatory network in human cranial neural crest cells and annotates variants in a developmental context
por: Feng, Zhanying, et al.
Publicado: (2021) -
A method for scoring the cell type-specific impacts of noncoding variants in personal genomes
por: Li, Wenran, et al.
Publicado: (2020) -
Regulatory analysis of single cell multiome gene expression and chromatin accessibility data with scREG
por: Duren, Zhana, et al.
Publicado: (2022)