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LSDBs and How They Have Evolved.

Raymond Dalgleish1

  • 1Department of Genetics, University of Leicester, Leicester, United Kingdom.

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Summary
This summary is machine-generated.

Locus-specific databases (LSDBs) are crucial for understanding human disorders and drug reactions, evolving from manual cataloging to sophisticated web-based resources. Continued development will enhance data accuracy and clinical utility.

Keywords:
LSDBdata-quality assurancedatabasemutationreference sequencesequence variantsoftwarevariant nomenclature

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Area of Science:

  • Genomics and Bioinformatics
  • Human Genetics and Disease Research
  • Pharmacogenomics

Background:

  • Locus-specific databases (LSDBs) have evolved over 50 years, originating from manual data cataloging.
  • The analysis of sequence variation in globin genes laid the foundation for modern LSDBs.
  • LSDBs are increasingly vital in clinical practice for understanding genetic disorders and drug responses.

Purpose of the Study:

  • To review the historical development and current state of Locus-Specific Databases (LSDBs).
  • To highlight the role of software, the World Wide Web, and reporting standards in LSDB evolution.
  • To discuss the ongoing efforts in refining variant reporting and data quality assurance in LSDBs.

Main Methods:

  • Historical analysis of the evolution of data cataloging and software development in genetics.
  • Review of the impact of the World Wide Web on the accessibility and growth of LSDBs.
  • Examination of the development of reporting standards and reference sequences for genetic variants.

Main Results:

  • LSDBs have grown significantly over 25 years, driven by technological advancements and standardized reporting.
  • They now cover numerous human protein-coding genes and are essential tools in clinical settings.
  • Current efforts focus on refining nomenclature and ensuring data completeness, correctness, and consistency.

Conclusions:

  • LSDBs are indispensable resources for understanding human genetic variation and its implications for health.
  • The evolution of LSDBs reflects advancements in bioinformatics, web technologies, and data standardization.
  • Future developments are expected to further enhance the utility and reliability of LSDBs in research and clinical practice.