Genome Wide Association Studies

Seamlessly analyze complex data with precision


Boost your data volume and variety with a secure platform built for private data analysis.

Genome Wide Association Studies

Boost your data volume and variety with a secure platform built for private data analysis.

The Dual Genomics Challenge: Privacy – and Logistics

Genomics has the potential to change the world of medicine. Genome-Wide Association Studies in particular are garnering investment from some of the biggest firms in the world, and can allow researchers to better understand the genetic bases of diseases and develop appropriate treatments.


However, successful GWAS rely heavily on large volumes of clinical and genetic data – often from multiple different providers – and on ensuring accurate results while at the same time protecting data privacy and security. In short, conducting GWAS presents both a logistical and privacy challenge.

Duality’s privacy-preserving collaboration platform enables genomic researchers to compute on large and disparate data sets up to 30x faster than using other computation methods.

Enable Scalable Genomic Analysis while Preserving Privacy

Duality enables researchers to understand correlations between genotypes and phenotypes 30x faster than other methods, while preserving data privacy. 


Researchers can use the Duality Platform to derive highly accurate insights without exposing any sensitive patient data – ever.


Faster Results

By simplifying the data analysis process, GWAS studies performed with Duality produce results up to 30x faster.

Highly Accurate

Using Fully Homomorphic Encryption (FHE), the Duality platform preserves the accuracy of the data without ever decrypting it.


Duality’s GWAS capabilities have been confirmed by researchers at Harvard Medical School and the Dana Farber Cancer Research Institute.

Analyze Disparate Data Sets

Conduct swift, safe analysis on data from multiple hospitals, institutions, research centers, and patient pools - including across borders.

Learn More

Case Study: Privacy Preserving Genome-Wide Association Studies Powered by Duality

The goal of the GWAS is to identify if any genetic variants are associated with a specific trait and/or disease. In this case study, we illustrate the project challenges, the reasons Dr. Gusev partnered with Duality, and the project outcomes.

“Ongoing precision medicine studies can immediately benefit from these capabilities by enabling secure collaboration across clinical institutions without requiring complex data sharing agreements or compromising individual-level privacy. This technology can also empower patients to participate in research studies directly and receive personalized results knowing that their individual data will not be exposed.”

Dr. Alexander Gusev

Experience secure collaborative computing today.

Maximize the value of sensitive, regulated, or confidential data.

Experience Real World Evidence (RWE) Studies

Maximize the value of sensitive, regulated, or confidential data.