Individual Exposure Health Risk Profile (IEHRP)
Abstract
The US Air Force is developing a comprehensive understanding of an individuals exposures over a lifetime, and how those exposures interact with genetic factors to affect health risks. A pilot model focused on sensorineural hearing loss was developed using a mathematical framework incorporating genetic, demographic and exposure data into a prediction of relative risk for individuals in a population. The initial structure is based on a published cumulative genetic risk score algorithm and for key risk factors used public data from the UK Biobank and National Health and Nutrition Examination Survey for 41 single nucleotide polymorphisms (SNPs), gender, age, race/ethnicity, highest level of education, and self-reported exposure to occupational and firearm noise. The model estimates approximately 10.5 percent of the US population with elevated (8.1 percent) or high (2.4 percent) risk (measured prevalence: 20-30 percent). Age is the primary determinant of risk (OR for 60-69 yr old: 39.5), followed by education (OR: 2.4 - 4.2), self-reported noise exposure OR (1.0 - 2.16) and gender (OR:1.8). Genetic predisposition had negligible effect on overall risk. To facilitate model access, we developed a user-friendly application for identification of at-risk individuals and prioritization of risk factors for accelerated implementation of reasonable hazard protection plans as needed.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 01, 2021
- Accession Number
- AD1192612
Entities
People
- Dirk Yamamoto
Organizations
- Air Force Research Laboratory