Improving privacy in genomic data analysis through secure outsourcing.

Secure Outsourcing of Genotype Imputation for Privacy-aware Genomic Analysis (RO1HE21)

NIH-funded research University of Texas Hlth Sci Ctr Houston · NIH-11035179

This study is working on new ways to keep your genetic information safe while still helping researchers fill in missing pieces of your DNA data, so they can learn more about your health without putting your privacy at risk.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionUniversity of Texas Hlth Sci Ctr Houston NIH-funded
Lab location1 site (Houston, United States)
Project IDNIH-11035179 on NIH RePORTER

What this research studies

This research focuses on enhancing the privacy of genomic data analysis by developing secure methods for outsourcing genotype imputation, a crucial process in interpreting genetic information. It addresses the challenges posed by large-scale genomic projects, which generate vast amounts of data that need to be analyzed while ensuring participant privacy. The approach involves using advanced computational techniques to predict missing genetic variants, thereby improving the quality and utility of genomic data without compromising security. Patients can benefit from this research as it aims to protect their sensitive genetic information while still allowing for valuable insights from genomic studies.

Who could benefit from this research

Good fit: Ideal candidates for this research are individuals participating in large-scale genomic studies, such as those involved in the All of Us Program.

Not a fit: Patients who are not involved in genomic studies or do not have their genetic data analyzed may not receive any benefit from this research.

Why it matters

Potential benefit: If successful, this research could significantly enhance the privacy and security of genomic data analysis, allowing for safer participation in genetic studies.

How similar studies have performed: While the approach of secure outsourcing in genomic analysis is innovative, similar methodologies have shown promise in other fields, indicating potential for success.

Where this research is happening

Houston, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Last reviewed 2026-06-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.