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Significance The discovery and development of precision blood biomarkers which can accurately detect damage to brain tissue could transform how we diagnose and treat neurological pathologies. In this study, we used mRNA expression data generated from thousands of tissue samples to algorithmically evaluate nearly every protein-coding gene in the human genome in terms of potential to produce blood biomarkers for neurological damage based on expression profiles both across the body and within the brain. This unprecedented analysis identifies a plethora of previously unexplored candidate blood biomarkers which could have clinical utility for noninvasive diagnosis and monitoring of various common neurological conditions, including traumatic brain injury, stroke, and multiple sclerosis.

Large-scale informatic analysis to algorithmically identify blood biomarkers of neurological damage