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E-GEOD-6306 - Sample Matching by Inferred Agonal Stress in Gene Expression Analyses of the Brain

Released on 8 October 2010, last updated on 27 March 2012
Homo sapiens
Samples (1218)
Array (1)
Protocols (7)
Gene expression patterns in the brain are strongly influenced by the severity of physiological stress at death. This agonal effect, if not well controlled, can lead to spurious findings in case-control comparisons. While many recent studies match samples by tissue pH and clinically recorded agonal conditions, we found that these commonly used indicators were sometimes at odds with observed stress-related patterns of gene expression, and that matching by these criteria still sometimes results in identifying differences between cases and controls that are primarily driven by residual agonal effects. This problem is analogous to the one in genetic studies, where race and ethnicity are often imprecise proxies for complex environmental and genetic factors. We developed an Agonal Stress Rating (ASR) system that evaluates each sample’s degree of stress based on gene expression data, and used ASRs in post hoc sample matching or covariate analysis. While we found that gene expression patterns are generally correlated across different regions of the same brain, we also found strong region-region differences in empirical ASRs in many subjects that are likely due to inter-individual variabilities in local structure or function, resulting in region-specific vulnerability to agonal stress. Variation of agonal stress from one region of the brain to another differs between individuals, revealing a new level of complexity for gene expression studies of brain tissues. The Agonal Stress Ratings provide a direct assessment of the regulatory responses to agonal stress in individual samples, and allow a strong control of this important confounder. Our strategy is analogous to sample matching by inferred ancestral proportions in genetic association studies to control subtle confounding by ancestry. Keywords: Agonal Stress Rating comparison We examined the relationship between the Agonal Stress Ratings (ASRs) and conventional pre hoc indicators such as pH and clinically derived Agonal Factor Scores (AFS), compared the stress ratings across six brain regions in up t0 126 samples, and assessed the performance of different sample matching strategies.
Experiment type
transcription profiling by array 
Fan Meng <>, David Walsh, Edward G Jones, Hiroaki Tomita, Huda Akil, Jun Z Li, Larisa Tsavaler, Marquis P Vawter, Prabhakara V Choudary, Richard M Myers, Simon J Evans, Stanley J Watson, Tisha Chung, Vida Shokoohi, William E Bunney
Sample matching by inferred agonal stress in gene expression analyses of the brain. Li JZ, Meng F, Tsavaler L, Evans SJ, Choudary PV, Tomita H, Vawter MP, Walsh D, Shokoohi V, Chung T, Bunney WE, Jones EG, Akil H, Watson SJ, Myers RM.
Investigation descriptionE-GEOD-6306.idf.txt
Sample and data relationshipE-GEOD-6306.sdrf.txt
Raw data (27)Click to browse raw data
Processed data (1)
Array designA-GEOD-4557.adf.txt
R ExpressionSetE-GEOD-6306.eSet.r