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BioMed Research International
Volume 2015, Article ID 313709, 9 pages
Research Article

A Systematic Analysis of Candidate Genes Associated with Nicotine Addiction

School of Biomedical Engineering, Tianjin Medical University, 22 Qixiangtai Road, Tianjin 300070, China

Received 30 September 2014; Revised 28 December 2014; Accepted 2 January 2015

Academic Editor: Yuedong Yang

Copyright © 2015 Meng Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

Gene Ontology (GO) annotation was used to explore the function features of the nicotine addiction-related genes via The Database for Annotation, Visualization and Integrated Discovery (DAVID; For the 220 genes, eight clusters with enrichment scores higher than 10 were identified by DAVID, and the representative GO terms in each cluster were displayed in the Supplemental Table S1.

  1. Supplementary Material