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Gentech Analytica Case Study

A web application built to provide users with lifestyle recommendations based on their genetic makeup.

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Who they are

GenTech Analytica is a biotechnology company redefining healthcare in the Caribbean. They specialize in advanced genetic testing, research, and personalized medical solutions, working with hospitals, governments, and pharmaceutical companies to make genetic advancements accessible. By focusing on early detection of non-communicable diseases (NCDs), they aim to reduce long-term treatment costs, improve patient outcomes, and bring precision medicine to the forefront.

The challenge

GenTech wanted to build a solution that could analyze the SNP composition of an individual’s genetic test and use it to deliver personalized lifestyle recommendations based on their genetic makeup—helping lower the probability of preventable non-communicable diseases.

The solution

We built a web platform with three main pillars:

  • Polygenic Risk Score (PGS) system — Instead of single-gene tests, the platform analyzes multiple genetic variations (SNPs) across the genome to calculate a risk profile for various health conditions. This captures the combined influence of many genes and gives a more accurate, predictive view of individual health risks.
  • Caribbean-focused calibration — The PGS model was fine-tuned using data from multi-ancestry studies so it reflects genetic patterns specific to the region. That improves accuracy and relevance for Caribbean users and helps fill a gap in the global genomics landscape.
  • Beyond genetics — The platform weaves in clinical data, lifestyle factors, and environmental influences (e.g. family history, diet, environmental risk factors). That gives a more complete picture and actionable insights for both individuals and healthcare professionals delivering personalized care.

Together, the platform bridges advanced genomic technology and practical, localized healthcare in the Caribbean.

Tech stack

  • React
  • Sanity

How we did it

Strategy: Defined goals, Caribbean-specific needs, and how genomic, environmental, and clinical data would work together. Reviewed existing genomic platforms and drafted a project plan with timelines, milestones, and resources so everyone was aligned.

Consultation: Ran workshops, interviews, and surveys with leadership, domain experts, and stakeholders to capture requirements, desired Caribbean customization, and how to integrate environmental and lifestyle data.

Design: Created wireframes and prototypes for a clear, accessible interface. Iterated with stakeholder feedback so complex genomic insights stayed easy to understand and use.

Development: Built the PGS system, multi-ancestry customization, and environmental data integration with scalability, performance, and cross-device compatibility in mind. Kept stakeholders updated with regular checkpoints.

Test & Refine: Ran usability testing, accessibility audits, and validation of genomic, clinical, and lifestyle data. Incorporated feedback, did final QA, and prepared the platform for launch.