About
Objectives: This research project will evaluate genetic and non-genetic factors responsible for diseases like type 2 diabetes (T2D), heart disease, stroke, vitamin D deficiency risk, and leukocyte telomere length using multiethnic populations from the United States (US).
Scientific rationale: T2D and cardiovascular disease disproportionately affect underserved minority populations in the US. T2D contributes to the development of heart disease, stroke, peripheral vascular disease, renal failure, blindness, and amputation and greatly impacts the quality of life. Genetic and non-genetic factors and physical environments are implicated in these health disparities, but the mechanisms remain unexplained. Genome-wide association and sequencing studies have been overwhelmingly focused on populations of European ancestries. Such studies are either not available in other ethnic or minority people, or the sample size of these studies is inadequate. Genetic variants that are known to cause these illnesses in Europeans have not always been found to be similar or specific for attributing to risk in other non-Europeans. Even the polygenic risk scores (driven by the common genetic variation) have a poor prediction in non-Europeans because of insufficient sample sizes available in these populations. Thus, there is a need to identify ethnicity-specific risk factors/biomarkers to facilitate early screening to combat the menace of the T2D and cardiovascular disease epidemic in these communities. The datasets from the UK biobank will be used to perform replication/validation studies.
Project duration: 36 months
Public health impact: More genetic and biomarker studies are urgently needed to address the causes of health disparities in these underserved communities in the US and globally. These populations remain grossly understudied despite suffering from a high burden of these diseases. Extending these studies to multiethnic cohorts will aid in the discoveries of novel therapies and the identification of population-specific risk factors for early diagnosis to reduce disease disparities.