کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8551952 | 1562112 | 2017 | 52 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Framework for the quantitative weight-of-evidence analysis of 'omics data for regulatory purposes
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم محیط زیست
بهداشت، سم شناسی و جهش زایی
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چکیده انگلیسی
A framework for the quantitative weight-of-evidence (QWoE) analysis of 'omics data for regulatory purposes is presented. The QWoE framework encompasses seven steps to evaluate 'omics data (also together with non-'omics data): (1) Hypothesis formulation, identification and weighting of lines of evidence (LoEs). LoEs conjoin different (types of) studies that are used to critically test the hypothesis. As an essential component of the QWoE framework, step 1 includes the development of templates for scoring sheets that predefine scoring criteria with scores of 0-4 to enable a quantitative determination of study quality and data relevance; (2) literature searches and categorisation of studies into the pre-defined LoEs; (3) and (4) quantitative assessment of study quality and data relevance using the respective pre-defined scoring sheets for each study; (5) evaluation of LoE-specific strength of evidence based upon the study quality and study relevance scores of the studies conjoined in the respective LoE; (6) integration of the strength of evidence from the individual LoEs to determine the overall strength of evidence; (7) characterisation of uncertainties and conclusion on the QWoE. To put the QWoE framework in practice, case studies are recommended to confirm the relevance of its different steps, or to adapt them as necessary.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Regulatory Toxicology and Pharmacology - Volume 91, Supplement 1, December 2017, Pages S46-S60
Journal: Regulatory Toxicology and Pharmacology - Volume 91, Supplement 1, December 2017, Pages S46-S60
نویسندگان
Jim Bridges, Ursula G. Sauer, Roland Buesen, Lize Deferme, Knut E. Tollefsen, Tewes Tralau, Ben van Ravenzwaay, Alan Poole, Mark Pemberton,