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Related Concept Videos

Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...

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Related Experiment Video

Updated: May 17, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
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Evaluating genomic tests from bench to bedside: a practical framework.

Jennifer S Lin1, Matthew Thompson, Katrina A B Goddard

  • 1Center for Health Research, Kaiser Permanente Northwest, 3800 N, Interstate Ave, Portland , OR 97227, USA. Jennifer.S.Lin@kpchr.org

BMC Medical Informatics and Decision Making
|October 20, 2012
PubMed
Summary
This summary is machine-generated.

A new framework helps evaluate genomic testing evidence and identify gaps for informed decision-making. It provides a common language for stakeholders across all phases of genomic test development.

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Area of Science:

  • Genomic Medicine
  • Medical Diagnostics
  • Regulatory Science

Background:

  • Genomic tests represent a major advancement in medical diagnostics.
  • Increasing availability necessitates a structured approach for evidence evaluation.
  • Existing frameworks lack specificity for the unique challenges of genomic testing.

Purpose of the Study:

  • To present a pragmatic framework for evaluating the evidence base of genomic tests.
  • To facilitate informed decision-making for diverse stakeholders in genomic testing.
  • To establish common language and benchmarks for regulatory science in genomics.

Main Methods:

  • The framework is organized around six phases of genomic test development, from marker identification to population impact.
  • It focuses on the clinical appropriateness of research questions across four dimensions: population/setting, intervention/index test, comparators/reference test, and outcomes.
  • The approach incorporates principles from general medical testing research and existing work in genomic testing.

Main Results:

  • The framework provides a structured approach to identify knowledge gaps crucial for establishing clinical relevance.
  • It allows stakeholders to define decision-making thresholds based on their specific needs and perspectives.
  • The framework is broadly applicable across various genomic test applications.

Conclusions:

  • This framework offers a systematic method for assessing genomic tests.
  • It enhances communication and decision-making among stakeholders involved in genomic test development and regulation.
  • It addresses the need for robust evaluation to ensure the clinical utility of genomic technologies.