Cargando…
Inferred expression regulator activities suggest genes mediating cardiometabolic genetic signals
Expression QTL (eQTL) analyses have suggested many genes mediating genome-wide association study (GWAS) signals but most GWAS signals still lack compelling explanatory genes. We have leveraged an adipose-specific gene regulatory network to infer expression regulator activities and phenotypic master...
Autores principales: | Hoskins, Jason W., Chung, Charles C., O’Brien, Aidan, Zhong, Jun, Connelly, Katelyn, Collins, Irene, Shi, Jianxin, Amundadottir, Laufey T. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8639061/ https://www.ncbi.nlm.nih.gov/pubmed/34793442 http://dx.doi.org/10.1371/journal.pcbi.1009563 |
Ejemplares similares
-
Master regulator activity QTL protocol to implicate regulatory pathways potentially mediating GWAS signals using eQTL data
por: Hoskins, Jason W., et al.
Publicado: (2023) -
Artificial intelligence and improved early detection for pancreatic cancer
por: Zhong, Jun, et al.
Publicado: (2023) -
Pancreatic Cancer Genetics
por: Amundadottir, Laufey T.
Publicado: (2016) -
An integrated transcriptome and epigenome analysis identifies a novel candidate gene for pancreatic cancer
por: Jia, Jinping, et al.
Publicado: (2013) -
Causal Inference for Genetic Obesity, Cardiometabolic Profile and COVID-19 Susceptibility: A Mendelian Randomization Study
por: Aung, Nay, et al.
Publicado: (2020)