Ontology highlight
ABSTRACT:
SUBMITTER: Rosato AJ
PROVIDER: S-EPMC6595542 | biostudies-literature | 2019 May
REPOSITORIES: biostudies-literature
Rosato Andrew J AJ Chen Xiaochun X Tanaka Yoshiaki Y Farrer Lindsay A LA Kranzler Henry R HR Nunez Yaira Z YZ Henderson David C DC Gelernter Joel J Zhang Huiping H
Epigenomics 20190529 7
<b>Aim:</b> Salivary miRNA can be easily accessible biomarkers of alcohol dependence (AD). <b>Materials & methods:</b> The miRNA transcriptome in the saliva of 56 African-Americans (AAs; 28 AD patients/28 controls) and 64 European-Americans (EAs; 32 AD patients/32 controls) was profiled using small RNA sequencing. Differentially expressed miRNAs were identified. Salivary miRNAs were used to predict the AD presence using machine learning with Random Forests. <b>Results:</b> Seven miRNAs were diff ...[more]