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Genome-Wide Association Study of Medication Adherence in Chronic Diseases in the Korean Population

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Author(s)
Incheol SeoSeong-Il SuhMin-Ho SuhWon-Ki Baek
Keimyung Author(s)
Suh, Seong IlSuh, Min HoBaek, Won Ki
Department
Dept. of Microbiology (미생물학)
Journal Title
Genomics & Informatics
Issued Date
2014
Volume
12
Issue
3
Abstract
Medication adherence is generally defined as the extent of voluntary cooperation of a patient in taking medicine as
prescribed. Adherence to long-term treatment with chronic disease is essential for reducing disease comorbidity and
mortality. However, medication non-adherence in chronic disease averages 50%. This study was conducted a genome-wide
association study to identify the genetic basis of medication adherence. A total of 235 medication non-adherents and 1,067
medication adherents with hypertension or diabetes were used from the Korean Association Resource project data according
to the self-reported treatment status of each chronic disease, respectively. We identified four single nucleotide polymorphisms
with suggestive genome-wide association. The most significant single nucleotide polymorphism was rs6978712
(chromosome 7, p = 4.87 × 10−7), which is located proximal to the GCC1 gene, which was previously implicated in
decision-making capability in drug abusers. Two suggestive single nucleotide polymorphisms were in strong linkage
disequilibrium (r2 > 0.8) with rs6978712. Thus, in the aspect of decision-making in adherence behavior, the association
between medication adherence and three loci proximal to the GCC1 gene seems worthy of further research. However, to
overcome a few limitations in this study, defining the standardized phenotype criteria for self-reported adherence should be
performed before replicating association studies.
Keywords: chronic disease, genome-wide association study, medication adherence, medication compliance
Keimyung Author(s)(Kor)
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Publisher
School of Medicine
Citation
Incheol Seo et al. (2014). Genome-Wide Association Study of
Medication Adherence in Chronic Diseases
in the Korean Population. Genomics & Informatics, 12(3), 121–126. doi: 10.5808/GI.2014.12.3.121
Type
Article
ISSN
1598-866X
DOI
10.5808/GI.2014.12.3.121
URI
https://kumel.medlib.dsmc.or.kr/handle/2015.oak/35778
Appears in Collections:
1. School of Medicine (의과대학) > Dept. of Microbiology (미생물학)
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