Genetics of Obesity, Diabetes, and Heart Disease in African Diaspora Populations

Launched by NATIONAL HUMAN GENOME RESEARCH INSTITUTE (NHGRI) · Mar 15, 2011

Keywords

ClinConnect Summary

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 t...

Gender

ALL

Eligibility criteria

• * INCLUSION 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
• • African American
• • Afro-Caribbean
• • A migrant from sub-Saharan Africa
• • White
• • 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:
• • Individuals related to participants
• • Prisoners
• • Pregnant women