Relationship between a Weighted Multi-Gene Algorithm and Blood Pressure Control in Hypertension
AuthorPhelps, Pamela K
Kelley, Eli F
Walla, Danielle M
Ross, Jennifer K
Simmons, Jerad J
Bulock, Emma K
Akre, Monica K
Olson, Thomas P
Snyder, Eric M
AffiliationUniv Arizona, Univ Arizona Genom Core
MetadataShow full item record
CitationPhelps PK, Kelley EF, Walla DM, Ross JK, Simmons JJ, Bulock EK, Ayres A, Akre MK, Sprissler R, Olson TP, Snyder EM. Relationship between a Weighted Multi-Gene Algorithm and Blood Pressure Control in Hypertension. Journal of Clinical Medicine. 2019; 8(3):289.
JournalJOURNAL OF CLINICAL MEDICINE
Rights© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at email@example.com.
AbstractHypertension (HTN) is a complex disease with interactions among multiple organ systems, including the heart, vasculature, and kidney with a strong heritable component. Despite the multifactorial nature of HTN, no clinical guidelines utilize a multi-gene approach to guide blood pressure (BP) therapy. Non-smokers with a family history of HTN were included in the analysis (n = 384; age = 61.0 ± 0.9, 11% non-white). A total of 17 functional genotypes were weighted according to the previous effect size in the literature and entered into an algorithm. Pharmacotherapy was ranked from 1⁻4 as most to least likely to respond based on the algorithmic assessment of individual patient's genotypes. Three-years of data were assessed at six-month intervals for BP and medication history. There was no difference in BP at diagnosis between groups matching the top drug recommendation using the multi-gene weighted algorithm (n = 92) vs. those who did not match (n = 292). However, from diagnosis to nadir, patients who matched the primary recommendation had a significantly greater drop in BP when compared to patients who did not. Further, the difference between diagnosis to current 1-year average BP was lower in the group that matched the top recommendation. These data suggest an association between a weighted multi-gene algorithm on the BP response to pharmacotherapy.
NoteOpen access journal
VersionFinal published version