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Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Standards for Clinical Grade Genomic Databases.

Sophia L Yohe, Alexis B Carter, John D Pfeifer

  • 1From the Department of Laboratory Medicine and Pathology, University of Minnesota Medical Center, Minneapolis (Dr Yohe); the Department of Pathology and Laboratory Medicine and the Department of Biomedical Informatics, Emory University, Atlanta, Georgia (Dr Carter); the Department of Pathology, Washington University School of Medicine, St. Louis, Missouri (Dr Pfeifer); the Department of Pathology and Laboratory Medicine, Hofstra North Shore-Long Island Jewish School of Medicine, Hempstead, New York (Dr Crawford); the Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha (Dr Cushman-Vokoun); the MAWD Pathology Group, North Kansas City, Missouri (Dr Caughron); and the Department of Pathology and Laboratory Medicine, University of Vermont College of Medicine, Burlington (Dr Leonard).

Archives of Pathology & Laboratory Medicine
|October 31, 2015
PubMed
Summary
This summary is machine-generated.

Clinical-grade genomic databases (CGGDs) are essential for accurate variant classification in next-generation sequencing. This study defines CGGDs and proposes a framework for their structure and use in patient care.

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Area of Science:

  • Genomic Medicine
  • Clinical Informatics

Background:

  • Next-generation sequencing (NGS) in clinical settings demands high reproducibility.
  • Clinical-grade genomic databases (CGGDs) are crucial for variant classification and interpretation in clinical NGS.
  • Standardizing reference databases for NGS variant interpretation poses validation and curation challenges.

Purpose of the Study:

  • Define Clinical-Grade Genomic Databases (CGGDs).
  • Categorize information within CGGDs.
  • Develop recommendations for CGGD structure and clinical application.

Main Methods:

  • Literature review and analysis of existing genomic databases.
  • Framework development by the College of American Pathologists Personalized Health Care Committee.
  • Expert consensus on CGGD requirements.

Main Results:

  • CGGDs encompass three distinct layers: clinical genomic variant repositories, genomic medical data repositories, and genomic medicine evidence databases.
  • Layers are differentiated by data type and utility in clinical variant interpretation.
  • CGGDs require stringent standards for data submission, curation, retrieval, privacy, and security.

Conclusions:

  • Established organizing principles for CGGDs provide a foundation for future standard development.
  • Standardized CGGDs are vital for supporting patient care through reliable genomic data interpretation.
  • This framework guides the evolution of clinical-grade genomic databases.