Developing new statistical methods to combine data from different studies for disease risk assessment

Statistical Methods for Data Integration and Applications to Genome-wide Association Studies

['FUNDING_R01'] · JOHNS HOPKINS UNIVERSITY · NIH-10980746

This study is working on new ways to combine information from different health studies to help us understand what increases the risk of diseases like diabetes and cancer, so that patients can get better insights into their health.

Quick facts

Phase['FUNDING_R01']
Study typeNih_funding
SexAll
SponsorJOHNS HOPKINS UNIVERSITY (nih funded)
Locations1 site (BALTIMORE, UNITED STATES)
Trial IDNIH-10980746 on ClinicalTrials.gov

What this research studies

This research focuses on creating innovative statistical methods to integrate data from various epidemiological studies, particularly genome-wide association studies (GWAS). By combining genetic markers, lifestyle factors, and sociodemographic indicators, the research aims to build comprehensive models that can better assess disease risk. The approach addresses challenges related to incomplete data across studies and privacy concerns by utilizing summary-level information. Patients may benefit from improved understanding of risk factors for complex diseases, including diabetes and cancer.

Who could benefit from this research

Good fit: Ideal candidates for this research include individuals with complex diseases such as adult-onset diabetes and breast cancer, as well as those affected by COVID-19.

Not a fit: Patients with conditions not related to the focus areas of this research may not receive any benefit.

Why it matters

Potential benefit: If successful, this research could lead to more accurate assessments of disease risk, ultimately improving prevention and treatment strategies for patients.

How similar studies have performed: Other research has shown success in using integrated data approaches in epidemiology, indicating that this methodology is promising and not entirely novel.

Where this research is happening

BALTIMORE, 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.

View on NIH RePORTER →

Conditions: Adult-Onset Diabetes Mellitus, Breast Cancer

Last reviewed 2026-05-15 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.