Hypertension Clinical Trial
Official title:
GenHAT - Genetics of Hypertension Associated Treatments - Ancillary to ALLHAT
High blood pressure is one of the most common health problems in the United States. There are many medications to treat high blood pressure, but there is a large variance in how people respond to these medications. It is believed that genetic variations may contribute to the inconsistent treatment response. This study will use genetic analysis to determine whether particular genes interact with high blood pressure medications to modify the risk of certain cardiovascular diseases.
High blood pressure affects nearly one in three individuals in the Unites States. There are
many factors that can cause high blood pressure, including family history and genetic
traits, kidney disease, stress, diabetes, and diet. If left untreated, high blood pressure
can increase one's risk for coronary heart disease (CHD), stroke, heart attack, and heart
failure. While high blood pressure can be managed with medication, people receiving
medication treatment for high blood pressure are still variably at risk for CHD and other
cardiovascular conditions. This risk variation may stem from varying drug reactions that are
likely due to genetics. This study will use genetic analysis to determine whether particular
genes interact with high blood pressure medications to modify the risk of certain
cardiovascular diseases.
This is a continuation study to the antihypertensive and lipid-lowering treatment to prevent
heart attack trial (ALLHAT), which included a randomized trial of the four high blood
pressure drugs chlorthalidone, amlodipine, lisinopril, and doxazosin. Using samples from
ALLHAT participants, this study will analyze the interactions of candidate gene pathways of
relevance with medications from the ALLHAT study. Researchers will examine both single DNA
building blocks and multiple genes in the candidate gene pathways and determine whether
their interaction with the ALLHAT drugs modifies the risk of cardiovascular outcomes.
Researchers will perform genetic analysis on 96 genetic markers using structured association
testing (SAT) and false discovery rate (FDR) methods. These methods will control for
population stratification and multiple testing. Finally, the study will establish a
mechanism for other researchers to continue further analysis of the genetic variants
examined in this study.
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Observational Model: Cohort, Time Perspective: Retrospective
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