Skip to main content

Introduction

These docs are for GlycanAge partners. They cover how to render the different modules of the GlycanAge report yourself, and how to use the Partner REST API.

Reselling GlycanAge kits from your own webshop instead? Have a look at the Reseller REST API. You place orders programmatically, we drop-ship each kit to your customer, and you pull their results back.

warning

These docs don't cover the science behind GlycanAge, and they don't try to explain how glycan peaks relate to the indexes and diseases we render. For that, have a look at our guidebook or just email us at partners@glycanage.com.

Rendering Modules​

We build the GlycanAge report from the "raw" data our laboratory analysis produces. You can download that raw data for a patient's report from the partner dashboard or from the API.

info

You can find a sample of what this data looks like here.

https://glycanage.com/raw-data-sample.csv

If you want to render these modules outside of GlycanAge, the rest of these docs explain how.

Rendering Indexes​

Our reports show 5 indexes, split into primary and supportive ones.

image

Looking at the raw data we use the following metrics to render each of the graphs:

  • Spercentile - Glycan Shield percentile of the patient
  • G2percentile - Glycan Youth percentile of the patient
  • G0percentile - Glycan Mature percentile of the patient
  • G1percentile - Glycan Median percentile of the patient
  • Bpercentile - Glycan Bisection percentile of the patient

For some indexes (Glycan Mature and Glycan Bisection) a lower result is the better one. There the graph is flipped, so it runs from blue to red rather than from red to blue.

IndexTypeDirection
Glycan ShieldPrimaryMin πŸ”΄ -> Max πŸ”΅
Glycan YouthPrimaryMin πŸ”΄ -> Max πŸ”΅
Glycan MaturePrimaryMax πŸ”΅ -> Min πŸ”΄
Glycan MedianSupportiveMin πŸ”΄ -> Max πŸ”΅
Glycan BisectionSupportiveMax πŸ”΅ -> Min πŸ”΄

Rendering Diseases​

For diseases we use our own web component library, ga-components. It's published under the MIT license and available on npm.

info

We recommend the component library for rendering diseases. That said, these components are opinionated and rigid: they look exactly like the GlycanAge report and nothing else, so they won't fit every use case.

A disease can have anywhere between one and five associated metrics.

image

Our report shows 14 diseases. In order of appearance: