Minority Health Genomics and Translational Research Bio-Repository Database (MH-GRID)-2.0

Overview

Background: \- High blood pressure is a common problem. It can cause heart attacks, strokes, and kidney failure. It affects African Americans more than other racial groups. Data were collected from over a thousand African Americans across the country. The data were put into a database (MH-GRID). The data were about genes, diet, sleep, body mass index. They also cover stress and access to healthy foods and parks. Researchers at NIH will study these data in new ways. They want to learn more about the connection between African Americans and high blood pressure. Objective: \- To study MH-GRID data to find the causes of severe high blood pressure and other cardio-metabolic problems in people of African ancestry. Eligibility: \- African Americans age 30 55 with severe high blood pressure were used in the MH-GRID study. No new participants will be enrolled in this study. Design: \- Researchers will examine data from the MH-GRID study.

The etiology of racial/ethnic differences in health involves dynamic interactions between genetic, behavioral and social-environmental determinants. Despite this, the field lacks robust datasets that integrate these determinants with clinical assessments in minority patient cohorts. The Minority Health Genomics and Translational Research Bio-repository Database (MHGRID) Network infrastructure facilitated the collection of biospecimens and related multidimensional data elements within a consortium of minority-serving clinics. This initiative expands the diversity of ancestral groups in national genomic medicine datasets and promises to accelerate the translation of personalized medicine into minority communities. The MH-GRID project was initiated by Dr. Gibbons (founding PI) prior to becoming an NIH investigator. The MH-GRID project has completed its participant recruitment activities, closed out its NIH funding and now represents an existing dataset and biorepository that is being transferred to NHLBI for ongoing secondary analyses. A variety of investigations will be conducted on this existing dataset. The primary outcome variables include severe hypertension and hypertension induced kidney damage. Secondary outcome variables include obesity, coronary heart disease and metabolic disease syndrome. Intervening variables include genetics, behavioral (i.e. sleep quality, health literacy, smoking, diet, body mass index), ancestry, social (i.e. socioeconomic status, racial discrimination, stress, social deprivation), biological (i.e. insulin resistance, cholesterol, inflammatory markers), and environmental (i.e. neighborhood, access to healthy foods, parks).