Jianglin Feng

University of Arizona

4 active projects

Learning_ALT

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)

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:

Association between cholesterol and cancer

Recent studies show conflict results about the association between cholesterol and cholesterol. All of US provides a large-scale contemporary cohort for a detailed exploration about this association.

Scientific Questions Being Studied

Recent studies show conflict results about the association between cholesterol and cholesterol. All of US provides a large-scale contemporary cohort for a detailed exploration about this association.

Project Purpose(s)

  • Disease Focused Research (cancer)

Scientific Approaches

We will use a direct and intuitive method to study the association between different cholesterol ( total cholesterol, LDL-cholesterol, HDL-cholesterol and triglyceride) and different cancers. Focus will be on breast cancer. Logistic regression will be used to quantitate the association.

Anticipated Findings

We anticipant to get clearer association between breast cancer and cholesterol.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

Collaborators:

  • Jason Karnes - Early Career Tenure-track Researcher, University of Arizona

Association of Cholesterol with Heart Diseases

The lipid hypothesis was based on an initial evidence that cardiac diseases are associated with high total cholesterol. This hypothesis has significantly changed our lifestyle during the last half century although many contradictory studies exist. Has the association between heart…

Scientific Questions Being Studied

The lipid hypothesis was based on an initial evidence that cardiac diseases are associated with high total cholesterol. This hypothesis has significantly changed our lifestyle during the last half century although many contradictory studies exist. Has the association between heart diseases and cholesterol changes during this long period? Or, is the original association result still valid now? And, is there another association mechanism that can explain the major contradictions? A re-evaluation of the association is necessary. AllOfUs provides a much larger EHR datasets for this association study than the original datasets that had only a few thousands of patients.

Project Purpose(s)

  • Disease Focused Research (myocardial infarction, stroke)

Scientific Approaches

Standard quantitative association approach and the datasets for patients with cholesterol measurements will be used.

Anticipated Findings

We expect to find changes on the association between cholesterol and heart diseases, and new association mechanism may also be found.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

Collaborators:

  • Lina Sulieman - Other, All of Us Program Operational Use
  • Jason Karnes - Early Career Tenure-track Researcher, University of Arizona

Cholesterol PheWAS

Research Question: 1) What disease associations with cholesterol levels can be replicated using the AllofUs dataset? 2) Are known differences in cholesterol levels by race/ethnicity observable in the AllofUs dataset?

Scientific Questions Being Studied

Research Question:
1) What disease associations with cholesterol levels can be replicated using the AllofUs dataset?
2) Are known differences in cholesterol levels by race/ethnicity observable in the AllofUs dataset?

Project Purpose(s)

  • Methods Development

Scientific Approaches

Prior to PheWAS analyses, demographic characteristics will be acquired for the study population, for which lipid panel values are available. Summary statistics related to cholesterol levels and other variables such as blood pressure, and waist and hip circumference, will also be performed, including measure of central tendency and tests of normality. Cholesterol levels will be summarized by self-reported race/ethnicity categories (registered tier generalizations).
Primary statistical analyses will be carried out using multivariable linear regression with cholesterol measures as the independent variable and individual phecodes as dependent variables. Cholesterol, triglycerides, HDL, and LDL will be tested in separate PheWAS analyses. Initial models will include adjustment for age, gender, BMI, antihyperlipidemic drugs, and smoking status and alcohol intake based on participant provided information (PPI).

Anticipated Findings

Our proposed project involves comprehensive replication of known disease associations while using existing phenotype algorithms and is thus within the scope of a demonstration project. While the PheWAS approach could be considered agnostic, our analysis will not be directed at generation of new associations. Considering the depth of existing literature on associations with lipid panel biomarkers, we do not expect our analysis to be powered to identify new associations with these laboratory values.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

Collaborators:

  • Jason Karnes - Early Career Tenure-track Researcher, University of Arizona
  • David Schlueter - Research Fellow, NIH
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