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Systematic Omics Analysis Review (SOAR) tool to support risk assessment
Emma R McConnell1, Shannon M Bell1, Ila Cote2
1Oak Ridge Institute for Science and Education, Research Triangle Park, NC, United States of America.
Environmental health risk assessors can use the Systematic Omics Analysis Review (SOAR) tool to screen transcriptomic studies. This standardized method ensures consistent quality assessment for human health risk evaluations.
Area of Science:
- Environmental Health
- Toxicology
- Systems Biology
Background:
- Environmental health risk assessment faces challenges integrating new toxicological data from molecular and systems biology.
- Systematic screening reviews are crucial for identifying relevant studies for human health assessments.
- Standardized and transparent tools are needed to ensure consistent quality criteria for study inclusion.
Purpose of the Study:
- To introduce the Systematic Omics Analysis Review (SOAR) tool, designed to aid risk assessment teams in systematically reviewing transcriptomic studies.
- To provide a standardized and transparent method for evaluating the quality of transcriptomic microarray studies.
Main Methods:
- The SOAR tool is a 35-question spreadsheet developed by experts, focusing on transcriptomic microarray studies.
- It covers key areas: test system, test substance, experimental design, and microarray data.
- The tool was tested by seven scientists rating 15 manuscripts, with feedback used for weighting and setting suitability cutoffs.
Main Results:
- Questions were weighted based on importance, and suitability cutoffs were established for each section.
- Validation testing showed 100% user agreement on four manuscripts.
- The SOAR tool demonstrated its potential for facilitating standardized and transparent screening of microarray literature.
Conclusions:
- The SOAR tool can effectively assist environmental health risk assessment teams in the systematic screening of transcriptomic microarray studies.
- It promotes transparency and standardization in evaluating study quality for human health risk assessments.
- The tool aids in identifying studies that meet minimum quality criteria for further in-depth analysis.
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