Explore protein-level variability at population scale
Normal Ranges
Protein levels that significantly differ between individuals in relation to disease versus health, disease state, response to therapy etc. can inform the development of new biomarkers to empower more effective and better-stratified healthcare. The lower the natural variation of a protein is among individuals, however, the easier it is to detect true differences related to health outcome or treatment exposure. Knowing the natural variation range of a protein can greatly aid study design and follow-up:
- Use normal variation ranges to guide biomarker selection and study size requirements during study design.
- Contextualize the variation in your own datasets with the findings from the three cohorts.
- Use the data to help prioritize candidate biomarkers with low natural variation from your own findings.
- Understand the biological variables that may impact protein levels – age, sex, BMI, ethnicity.
Data from landmark proteomic studies is now openly available to the research community through interactive data stories in Olink® Insight – a powerful online platform designed to empower the interpretation of complex proteomic datasets in the context of existing biological knowledge.
Read more in a new case study!
Explore data from three major cohorts.
The Normal Ranges data story provides data on the normal variation ranges of ~3,000 proteins measured using the Olink Explore 3072 platform in ~50,000 individuals from three well-characterized cohorts from Europe, Asia, and North America. In addition, the ranges of over 5,400 proteins measured using Olink Explore HT in the North American cohort are presented in a second data story.
Customizable display functions are available for each dataset, enabling zoom, stratification by sex, filtering by specific panel used, or comparison among the three cohorts.
Dig into the details
As well as comparing the overall cohort data, you can also select specific proteins of interest to get a more in-depth analysis of how they vary in relation to demographic and biological covariates.
Olink Insight also enables you to upload and save your own protein lists and annotate them with features from outstanding proteomic datasets. This includes not only normal ranges, but also known pathway and disease associations, tissue enrichment, genetic associations and drug target status.
