PT - JOURNAL ARTICLE AU - Ryan Toma AU - Ben Pelle AU - Nathan Duval AU - Matthew M Parks AU - Vishakh Gopu AU - Hal Tily AU - Andrew Hatch AU - Ally Perlina AU - Guruduth Banavar AU - Momchilo Vuyisich TI - A clinically validated human capillary blood transcriptome test for global systems biology studies AID - 10.1101/2020.05.22.110080 DP - 2020 Jan 01 TA - bioRxiv PG - 2020.05.22.110080 4099 - http://biorxiv.org/content/early/2020/05/23/2020.05.22.110080.short 4100 - http://biorxiv.org/content/early/2020/05/23/2020.05.22.110080.full AB - Chronic diseases are the leading cause of morbidity and mortality globally. Yet, the majority of them have unknown etiologies, and genetic contribution is weak. In addition, many of the chronic diseases go through the cycles of relapse and remission, during which the genomic DNA does not change. This strongly suggests that human gene expression is the main driver of chronic disease onset and relapses. To identify the etiology of chronic diseases and develop more effective preventative measures, a comprehensive gene expression analysis of the human body is needed. Blood tissue is easy to access and contains a large number of expressed genes involved in many fundamental aspects of our physiology.We report here the development of a whole blood transcriptome clinical test that is high throughput, automated, inexpensive, and clinically validated. The test requires only 50 microliters of blood from a finger prick, enabling access by diverse populations that have been traditionally under-represented in clinical research. The transcripts in the samples are preserved at the time of collection and can be stored and/or transported at ambient temperatures for up to 28 days. The sample preservative protects integrity, while also inactivating all pathogens (bacteria, fungi, and viruses), enabling safe transportation globally. Given its unique set of usability features and clinical performance, this test should be integrated into longitudinal, population-scale, systems biology studies.Competing Interest StatementAll authors are current employees of Viome, Inc. or were employees when contributing work was performed.