Yingchang Lu

Early Career Tenure-track Researcher, Vanderbilt University Medical Center

2 active projects

Heart Disease AllofUs WGS analysis

The incidence of coronary artery disease in populations of African ancestry is higher than that in populations of European ancestry. Besides the social economic risk factors, behavior risk factors, and access to health care, the genetic factors may underlie the…

Scientific Questions Being Studied

The incidence of coronary artery disease in populations of African ancestry is higher than that in populations of European ancestry. Besides the social economic risk factors, behavior risk factors, and access to health care, the genetic factors may underlie the observed this health disparity. Hundreds of genetic loci have been identified in genome-wide association studies of coronary artery disease in populations of European ancestry and populations of Eastern Asian ancestry. However, very few loci were identified in populations of African ancestry. This may create the hurdles of equal utilization of precision medicine in control and prevention of coronary artery disease across populations. We will perform the large genome-wide association study of coronary artery disease in populations of African ancestry.

Project Purpose(s)

  • Disease Focused Research (coronary artery disease)
  • Ancestry

Scientific Approaches

We will perform a whole genome sequence analysis of coronary artery disease with allofus electronic health record data.

Anticipated Findings

We will identify genetic loci associated with coronary artery diseases in populations of African ancestry that shared with populations of other ancestries or are unique to populations of African ancestry due to its unique demographic and evolutionary history. The novel biology elucidated from the identified loci will help with the control and prevention of coronary artery disease across all populations.

Demographic Categories of Interest

  • Race / Ethnicity

Data Set Used

Controlled Tier

Research Team

Owner:

  • Yingchang Lu - Early Career Tenure-track Researcher, Vanderbilt University Medical Center

Duplicate of Phenotype - Ischemic Heart Disease (v7)

The Notebooks in this workspace can be used to implement well-known phenotype algorithms in one’s own research.

Scientific Questions Being Studied

The Notebooks in this workspace can be used to implement well-known phenotype algorithms in one’s own research.

Project Purpose(s)

  • Educational
  • Methods Development
  • Other Purpose (This is an All of Us Phenotype Library Workspace created by the Researcher Workbench Support team. It is meant to demonstrate the implementation of key phenotype algorithms within the All of Us Research Program cohort.)

Scientific Approaches

Not Applicable

Anticipated Findings

By reading and running the Notebooks in this Phenotype Library Workspace, researchers can implement the following phenotype algorithms:

Christianne L. Roumie; Jana Shirey-Rice, Sunil Kripalani. Vanderbilt University. MidSouth CDRN - Coronary Heart Disease Algorithm. PheKB; 2014. Available from https://phekb.org/phenotype/234

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

  • Yingchang Lu - Early Career Tenure-track Researcher, Vanderbilt University Medical Center
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