Ontology highlight
ABSTRACT:
SUBMITTER: Bi S
PROVIDER: S-EPMC7578500 | biostudies-literature | 2020 Sep
REPOSITORIES: biostudies-literature
Bi Siwei S Liu Ruiqi R Shen Yinzhi Y Gu Jun J
Journal of thoracic disease 20200901 9
<h4>Background</h4>Aortic dissection is one of the most detrimental cardiovascular diseases with a high risk of mortality and morbidity. This study aimed to examine the key genes and microRNAs associated with Stanford type A aortic dissection (AAD).<h4>Methods</h4>The expression data of AAD and healthy samples were downloaded from two microarray datasets in the Gene Expression Omnibus (GEO) database to identify highly preserved modules by weighted gene co-expression network analysis (WGCNA). Dif ...[more]