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A Bibliometric and Visual Analysis of Single Nucleotide Polymorphism Studies in Depression
Zi Zhang1, Ye Yang1, Wan Kong1
1Department of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China.
This bibliometric analysis reveals key trends in single nucleotide polymorphism (SNP) research for depression. It highlights "5-HT" and "CYP2D6" as major research areas, with emerging frontiers like "BDNF" and "DNA methylation".
Area of Science:
- Genetics and Psychiatry
- Pharmacogenomics
- Bibliometrics
Background:
- Genetic polymorphisms significantly influence depression risk, medication efficacy, and adverse effects through metabolic and neurological pathways.
- A systematic bibliometric investigation into the association between single nucleotide polymorphisms (SNPs) and depression was lacking.
Purpose of the Study:
- To conduct a bibliometric and visual analysis of the current status and research trends concerning SNPs and depression.
- To identify key research areas, influential publications, and emerging frontiers in SNP-depression research.
Main Methods:
- A comprehensive literature search was conducted on the Web of Science Core Collection, retrieving 10,043 articles published between 1998 and 2021.
- Bibliometric and visual analysis techniques, including CiteSpace software, were employed for collaborative network, co-citation, co-occurrence, and citation burst analyses.
Main Results:
- The Journal of Affective Disorders and Biological Psychiatry were identified as the most productive and co-cited journals, respectively.
- Thematic analysis revealed
- 5-HT
- as the largest and most recent research focus, indicating its foundational importance.
- "CYP2D6" emerged as a research hotspot, particularly since 2019, while
- BDNF
- ,
- COMT
- ,
- older adults
- ,
- loci
- , and
- DNA methylation
- represent new and developing research frontiers.
Conclusions:
- The study provides valuable insights into the existing research landscape and future directions for investigating the relationship between SNPs and depression.
- Findings can assist researchers in identifying potential collaborators and suitable journals for their work in this field.
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