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Background:
- African Americans have one of the highest rates of type 2 diabetes in the United States, and often have other medical problems related to obesity and cardiovascular disease. These conditions have various risk factors, including high blood sugar levels, high cholesterol levels, and insulin resistance. However, these risk factors have not been studied very closely in individuals with African ancestry, including Afro-Caribbean and sub-Saharan Africa migrant populations. Researchers are interested in conducting a genetic study on obesity, adult-onset diabetes, heart disease, and other common health conditions in individuals with African ancestry.
Objectives:
- To collect genetic and non-genetic information from individuals with African ancestry to study common health conditions related to obesity, adult-onset diabetes, and heart disease.
Eligibility:
- Individuals at least 18 years of age who self-identify as African American, Afro-Caribbean, or migrants from sub Saharan Africa.
Design:
Full description
Study Design:
The study is comprised of a population-based sample from Dr. Anne Sumner s ongoing NIDDK studies to perform a quantitative trait analysis of multiple metabolic biomarkers and disorders including T2D, hypertension, CVD and obesity in a total of 1000 people of African ancestry and approximately100 whites (who will serve as a comparison group) residing in the United States. Because some of the identified variants will be rare, we will use the methods proposed by Li and Leal. Under an additive model and at a MAF of 0.04, this sample size has 80% power to detect a genetic effect that may explain a 1-4 unit change depending on the trait in question (e.g., BMI in kg/m^2, blood glucose in mg/dL, systolic and diastolic BP in mmHG).
We will also perform exome sequencing of 48 cases of African descent and genotype identified variants in the larger cohort. Cases for exome sequencing will consist of individuals who have more than one metabolic condition, i.e., diabetes, pre-diabetes, obesity, hypertension and/or dyslipidemia. We propose to carry out exome capture of 48 individuals (96 chromosomes). Given the probability of observing a specific allele one or more times of 1 - (1-p)^2N (where p is the minor allele frequency), a sample of 48 individuals (96 chromosomes) provides a 99% probability of finding a sequence variant with a minor allele frequency (MAF) of 0.05, 98% probability of finding a variant with an MAF of 0.04, 95% probability of finding a variant with an MAF of 0.03, 86% probability of finding a variant with an MAF of 0.02 and 62% probability of finding a variant with an MAF of 0.01. We will use four main filters to identify potential variants with functional consequences. We will look for 1) SNPs that are intragenic or in promoter regions, 2) SNPs that cause nonsynonymous coding changes, 3) nonsense mutations, and 4) missense mutations that have possible or probable damaging protein effects. All selected SNPs will be tested for potential association with all metabolic parameters in this study.
Primary Objective:
Genotype variants of interest from genetic epidemiology studies conducted in Dr. Rotimi s lab in these individuals, with thorough clinical measurements available, in order to investigate biological mechanisms underlying observed associations.
Secondary Objectives:
Conduct whole-exome capture on a subset of cases with at least 2 metabolic disorders (i.e., diabetes, pre-diabetes, obesity, hypertension and/or dyslipidemia). Genotype identified variants in the larger cohort of 1000 persons or in existing studies of African ancestry individuals (Howard University Family Study or Africa America Diabetes Mellitus Study).
Exploratory Objectives:
Endpoints: Obesity, Metabolic Syndrome, Dyslipidemia, Pre-Diabetes, and Diabetes
Enrollment
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Inclusion and exclusion criteria
Subjects will include unrelated persons who self-identify as white or African American, Afro-Caribbean or migrant from sub-Saharan Africa. Adults of African ancestry are prioritized for this study because of the paucity of genetics studies investigating the association of risk alleles contributing to the prevalence of T2D, CVD, obesity and other common conditions in this population. A small proportion of whites (less than 10%) will be included in this study, as they are in Dr. Sumner s ongoing projects; they will have the same clinical measurements obtained in the same laboratory to serve as a comparison group. This study only includes adults because these phenotypes are more commonly present in adults. In summary, inclusion criteria include:
Persons who self-identify as either
Persons >= 18 years
Participation in a protocol with Dr. Anne Sumner, NIDDK/NIH
EXCLUSION CRITERIA:
Related individuals are excluded to avoid biases in our analyses due to genomic similarities between people who are related. No prisoners will be included in this study. Pregnant women are excluded from this study because pregnancy induces changes in metabolism that would interfere with the measurements and outcomes of the study. In summary, exclusion criteria include:
1,100 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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