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Overgrowth Spectrum in African Patients

Overgrowth Spectrum in African Patients

White Paper Summary

67 Kenyan patients. Different diagnoses. One recurring genetic pattern that only became visible once the data was properly connected.

This whitepaper shows how fragmented clinical, pathology, and biobank records from a rare disease cohort in East Africa were linked into a single research-ready dataset. Once structured, previously hidden patterns emerged, including shared molecular signals across clinically diverse presentations.

The report covers:

* Molecular evidence linking diverse clinical presentations to the same PIK3CA pathway
* The challenges of diagnosing and studying rare diseases in underrepresented populations
* The role of data models and harmonization using biobanking to uncover health insights

Download the full whitepaper to explore the cohort, methodology, findings, and implications.

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