Advancing Population Health insights with the addition of dynamic biomarkers

Next-generation sequencing has transformed the rate of insight generation for population health studies, providing a robust foundation for understanding genetic predispositions of disease. The challenge for population health studies is where to look next. Over a million genomes have now been sequenced worldwide, and the returns of sequencing more genomes are diminishing. Genomic information provides a static snapshot of disease risk, but does not account for changes in health status over time.

Given the dynamic nature of disease, there is a need to extend studies in population health cohorts to include the discovery of dynamic biomarkers such as metabolites, lipids, and proteins, which provide insights into biological changes occurring over time. Now there is finally an efficient, scalable approach to ‘go beyond the genome’ and enable population-scale discovery of dynamic biomarkers using Sapient’s next-generation rLC-MS systems.