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Prioritizing Genes Related to Nicotine Addiction Via a Multi-source-Based Approach

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Abstract

Nicotine has a broad impact on both the central and peripheral nervous systems. Over the past decades, an increasing number of genes potentially involved in nicotine addiction have been identified by different technical approaches. However, the molecular mechanisms underlying nicotine addiction remain largely unknown. Under such situation, prioritizing the candidate genes for further investigation is becoming increasingly important. In this study, we presented a multi-source-based gene prioritization approach for nicotine addiction by utilizing the vast amounts of information generated from for nicotine addiction study during the past years. In this approach, we first collected and curated genes from studies in four categories, i.e., genetic association analysis, genetic linkage analysis, high-throughput gene/protein expression analysis, and literature search of single gene/protein-based studies. Based on these resources, the genes were scored and a weight value was determined for each category. Finally, the genes were ranked by their combined scores, and 220 genes were selected as the prioritized nicotine addiction-related genes. Evaluation suggested the prioritized genes were promising targets for further analysis and replication study.

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Acknowledgments

This work was supported in part by grants from National Natural Science Foundation of China (Grant No. 31271411) and Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry of China. We are grateful to Prof. Ming D Li of University of Virginia for his help on this study.

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Authors and Affiliations

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

    Xinhua Liu, Meng Liu, Xia Li, Lihua Zhang, Rui Fan & Ju Wang

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  1. Xinhua Liu
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  2. Meng Liu
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  3. Xia Li
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  4. Lihua Zhang
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Correspondence to Ju Wang.

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Xinhua Liu and Meng Liu contributed equally to this work.

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Liu, X., Liu, M., Li, X. et al. Prioritizing Genes Related to Nicotine Addiction Via a Multi-source-Based Approach. Mol Neurobiol 52, 442–455 (2015). https://doi.org/10.1007/s12035-014-8874-7

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