Dataset Information

Network analysis for estimating standardization trends in genomics using MEDLINE.

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 (R² > 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.

SUBMITTER: Bae EB

PROVIDER: S-EPMC9540045 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature

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Publications

Network analysis for estimating standardization trends in genomics using MEDLINE.

Bae Eun Bit EB Nam Sejin S Lee Sungin S Ahn Sun-Ju SJ

BMC medical research methodology 20221007 1

<h4>Background</h4>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.<h4>Methods</h4>Of 16,538 ...[more]

PMID: 36207671

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Dataset Information

Network analysis for estimating standardization trends in genomics using MEDLINE.

Background

Methods

Results

Conclusions

Publications

Network analysis for estimating standardization trends in genomics using MEDLINE.

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