1. Identification of Evidence-Based Biospecimen Quality-Control Tools
Fotini Betsou, Elaine Gunter, Judith Clements, Yvonne DeSouza, Katrina A.B. Goddard, Fiorella Guadagni, Wusheng Yan, Amy Skubitz, Stella Somiari, Trina Yeadon, Rodrigo Chuaqui 
The Journal of Molecular Diagnostics 
Volume 15, Issue 1, Pages 3-16 (January 2013)
DOI: /j.jmoldx
Copyright © 2013 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

2. Figure 1
Quality control assays, applied on biological samples, can be either diagnostic of upstream collection, processing, and/or storage conditions or predictive of the feasibility and/or validity of downstream analysis performed with the samples.
The Journal of Molecular Diagnostics  , 3-16DOI: ( /j.jmoldx )
Copyright © 2013 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

3. Figure 2
Biospecimen science literature compilation of human biospecimen science studies in a clinical (A) or a research (B) setting. Asterisks mark groups of publications reviewed for this study.
The Journal of Molecular Diagnostics  , 3-16DOI: ( /j.jmoldx )
Copyright © 2013 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

4. Figure 3
Models of QC tools. Baseline reference ranges are indicated as mean values in the population (blue diamonds) and as upper (red diamonds) and lower (green diamonds) reference values. The (shaded area) red squares corresponds to an arbitrary threshold of the QC marker below which diagnostic conclusions as to the upstream processing of the sample can be drawn. A: Linear degradation of the QC marker. B: Exponential degradation of the QC marker. AU, arbitrary units.
The Journal of Molecular Diagnostics  , 3-16DOI: ( /j.jmoldx )
Copyright © 2013 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions