The Relationship Between Lipoproteins And Coronary Heart Disease In African Americans: The Sea Islands Genetic African American Registry

Dixie McCollum

School Name

South Carolina Governor's School for Science and Mathematics

Grade Level

12th Grade

Presentation Topic

Physiology and Health

Presentation Type

Mentored

Mentor

Mentor: Kelly Hunt, Public Health Sciences, Medical University of South Carolina

Abstract

Using data collected from the Sea Islands Registry of African Americans, research was conducted to test whether or not lipoprotein biomarkers were predictive of myocardial infarction in African Americans of the Sea Islands population with type-2 diabetes. For this study, previously collected data from Project SuGAR including physical examinations and laboratory tests were used. The first objective of the study was to calculate the prevalence of incident vascular events of participants through the year 2011. The second objective was to investigate the relationship between traditional lipid levels, as well as NMR lipoprotein profile, and heart attack using ICD-9 codes. Ultimately, the research conducted showed that myocardial infarction was closely related to type-2 diabetes, and LDL cholesterol levels were predictive of heart attack. While total LDL particle number and small LDL particles did not predict heart attack, it was found that LDL particle size was predictive in the middle tertile relative to the lowest tertile.

Start Date

4-11-2015 11:30 AM

End Date

4-11-2015 11:45 AM

COinS
 
Apr 11th, 11:30 AM Apr 11th, 11:45 AM

The Relationship Between Lipoproteins And Coronary Heart Disease In African Americans: The Sea Islands Genetic African American Registry

Using data collected from the Sea Islands Registry of African Americans, research was conducted to test whether or not lipoprotein biomarkers were predictive of myocardial infarction in African Americans of the Sea Islands population with type-2 diabetes. For this study, previously collected data from Project SuGAR including physical examinations and laboratory tests were used. The first objective of the study was to calculate the prevalence of incident vascular events of participants through the year 2011. The second objective was to investigate the relationship between traditional lipid levels, as well as NMR lipoprotein profile, and heart attack using ICD-9 codes. Ultimately, the research conducted showed that myocardial infarction was closely related to type-2 diabetes, and LDL cholesterol levels were predictive of heart attack. While total LDL particle number and small LDL particles did not predict heart attack, it was found that LDL particle size was predictive in the middle tertile relative to the lowest tertile.