Andrea Ramirez

All of Us Program Operational Use

1 active project

RacialEthnicDifferences_AnthropoLipidALT

Obesity is one of the most important risks for many diseases in the United States and across the world. Differences in body weight and shape across gender and race/ethnicity have been extensively described. We sought to replicate these differences and…

Scientific Questions Being Studied

Obesity is one of the most important risks for many diseases in the United States and across the world. Differences in body weight and shape across gender and race/ethnicity have been extensively described. We sought to replicate these differences and evaluate newly emerging data from the All of Us Research Program (AoU). In this project, we ask the scientific question: How do individuals from different genders and different racial/ethnic groups in the All Of Us dataset differ with respect to weight, waist and hip circumferences, cholesterol levels and levels of alanine aminotransferase?

Project Purpose(s)

  • Disease Focused Research (Obesity)
  • Other Purpose (This work is the result of an All of Us Research Program Demonstration Project. Demonstration Projects are efforts by the All of Us Research Program designed to meet the goal of ensuring the quality and utility of the Research Hub as a resource for accelerating precision medicine. This work has been approved, reviewed, and overseen by the All of Us Research Program Science Committee and Data and Research Center to ensure compliance with program policy.)

Scientific Approaches

Within each ethnic/racial group and each gender group, we first visually examine histograms of each outcome variable to determine the presence of any major outliers that may represent measurement errors. Then we tabulated the mean values and other descriptive statistics for continuous variables such as waist and hip circumferences. We also determined the proportion of individuals with abdominal obesity. To formally test for differences among groups and to adjust for age and other covariates, we will use linear regression, transforming variables to conform to assumptions of linear regression. Data for race and ethnicity was obtained from participants in participant-provided information (PPI). Biological sex at birth, height, weight, waist circumference (WC), and hip circumference measurements were obtained according to AoU baseline visit protocols. Levels of alanine aminotransferase (ALT) were obtained from the EHR records of participants.

Anticipated Findings

For this study, we anticipate that we will be able to replicate known differences in body weight and shape across gender and race/ethnicity. We anticipate that we will find racial/ethnic and gender disparities related to ALT, a surrogate marker of hepatic steatosis. We anticipate the ability to evaluate the consistency of the All of Us cohort with national averages related to obesity and indicate that this resource is likely to be a major source of scientific inquiry and discovery. This project will serve to demonstrate the quality, utility, and diversity of the All of Us data and tools and the power of gathering multiple data sources for a single set of phenotypes, providing researchers options for study design and validation.

Demographic Categories of Interest

  • Race / Ethnicity
  • Sex at Birth

Research Team

Owner:

Collaborators:

  • Jianglin Feng - Other, University of Arizona
  • Lina Sulieman - Other, All of Us Program Operational Use
  • Heidi Steiner - Graduate Trainee, University of Arizona
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