Network analysis for estimating standardization trends in genomics using MEDLINE.

BMC Med Res Methodol

Institute of Quantum Biophysics, Sungkyunkwan University, 16419, Seoul, Gyeonggi-do, Republic of Korea.

Published: October 2022

AI Article Synopsis

  • Biotechnology in genomics has rapidly advanced in clinical settings, but a lack of applicable standards causes interoperability and reusability challenges across different technologies.
  • An analysis of 16,538 articles from PubMed indicated a significant increase in research trends post-2003, particularly after major advancements like the completion of the human genome project and US-FDA approval of next-generation sequencers.
  • The study highlights the need for standardization in clinical genetics, identifying key trends and areas for improvement based on comprehensive content and statistical analyses.

Article Abstract

Background: Biotechnology in genomics, such as sequencing devices and gene quantification software, has proliferated and been applied to clinical settings. However, the lack of standards applicable to it poses practical problems in interoperability and reusability of the technology across various application domains. This study aims to visualize and identify the standard trends in clinical genomics and to suggest areas on which standardization efforts must focus.

Methods: Of 16,538 articles retrieved from PubMed, published from 1975 to 2020, using search keywords "genomics and standard" and "clinical genomic sequence and standard", terms were extracted from the abstracts and titles of 15,855 articles. Our analysis includes (1) network analysis of full phases (2) period analysis with five phases; (3) statistical analysis; (4) content analysis.

Results: Our research trend showed an increasing trend from 2003, years marked by the completion of the human genome project (2003). The content analysis showed that keywords related to such concepts as gene types for analysis, and analysis techniques were increased in phase 3 when US-FDA first approved the next-generation sequencer. During 2017-2019, oncology-relevant terms were clustered and contributed to the increasing trend in phase 4 of the content analysis. In the statistical analysis, all the categories showed high regression values (R > 0.586) throughout the whole analysis period and phase-based statistical analysis showed significance only in the Genetics terminology category (P = .039) at phase 4.

Conclusions: Through comprehensive trend analysis from our study, we provided the trend shifts and high-demand items in standardization for clinical genetics.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9540045PMC
http://dx.doi.org/10.1186/s12874-022-01740-4DOI Listing

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