Identifying noncoding risk variants using disease-relevant gene regulatory networks

Autor: Long Gao, Yasin Uzun, Peng Gao, Bing He, Xiaoke Ma, Jiahui Wang, Shizhong Han, Kai Tan
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Nature Communications, Vol 9, Iss 1, Pp 1-12 (2018)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-018-03133-y
Popis: Current methods for prioritization of non-coding genetic risk variants are based on sequence and chromatin features. Here, Gao et al. develop ARVIN, which predicts causal regulatory variants using disease-relevant gene-regulatory networks, and validate this approach in reporter gene assays.
Databáze: Directory of Open Access Journals