FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1858709166> ?p ?o ?g. }

• W1858709166 endingPage "e0140496" @default.
• W1858709166 startingPage "e0140496" @default.
• W1858709166 abstract "Background Hypertension is a major risk factor for a spectrum of cardiovascular diseases (CVD), including myocardial infarction, sudden death, and stroke. In the US, over 65 million people have high blood pressure and a large proportion of these individuals are prescribed antihypertensive medications. Although large long-term clinical trials conducted in the last several decades have identified a number of effective antihypertensive treatments that reduce the risk of future clinical complications, responses to therapy and protection from cardiovascular events vary among individuals. Methods Using a genome-wide association study among 21,267 participants with pharmaceutically treated hypertension, we explored the hypothesis that genetic variants might influence or modify the effectiveness of common antihypertensive therapies on the risk of major cardiovascular outcomes. The classes of drug treatments included angiotensin-converting enzyme inhibitors, beta-blockers, calcium channel blockers, and diuretics. In the setting of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, each study performed array-based genome-wide genotyping, imputed to HapMap Phase II reference panels, and used additive genetic models in proportional hazards or logistic regression models to evaluate drug-gene interactions for each of four therapeutic drug classes. We used meta-analysis to combine study-specific interaction estimates for approximately 2 million single nucleotide polymorphisms (SNPs) in a discovery analysis among 15,375 European Ancestry participants (3,527 CVD cases) with targeted follow-up in a case-only study of 1,751 European Ancestry GenHAT participants as well as among 4,141 African-Americans (1,267 CVD cases). Results Although drug-SNP interactions were biologically plausible, exposures and outcomes were well measured, and power was sufficient to detect modest interactions, we did not identify any statistically significant interactions from the four antihypertensive therapy meta-analyses (Pinteraction > 5.0×10−8). Similarly, findings were null for meta-analyses restricted to 66 SNPs with significant main effects on coronary artery disease or blood pressure from large published genome-wide association studies (Pinteraction ≥ 0.01). Our results suggest that there are no major pharmacogenetic influences of common SNPs on the relationship between blood pressure medications and the risk of incident CVD." @default.
• W1858709166 created "2016-06-24" @default.
• W1858709166 creator A5000325789 @default.
• W1858709166 creator A5002821639 @default.
• W1858709166 creator A5004395330 @default.
• W1858709166 creator A5004656494 @default.
• W1858709166 creator A5005451442 @default.
• W1858709166 creator A5006505962 @default.
• W1858709166 creator A5006663312 @default.
• W1858709166 creator A5006987054 @default.
• W1858709166 creator A5011510199 @default.
• W1858709166 creator A5013697180 @default.
• W1858709166 creator A5014338766 @default.
• W1858709166 creator A5016095791 @default.
• W1858709166 creator A5017836069 @default.
• W1858709166 creator A5018204582 @default.
• W1858709166 creator A5018378907 @default.
• W1858709166 creator A5018722034 @default.
• W1858709166 creator A5020393621 @default.
• W1858709166 creator A5024226928 @default.
• W1858709166 creator A5026522986 @default.
• W1858709166 creator A5026873580 @default.
• W1858709166 creator A5027800297 @default.
• W1858709166 creator A5030066474 @default.
• W1858709166 creator A5031144432 @default.
• W1858709166 creator A5031245545 @default.
• W1858709166 creator A5031530236 @default.
• W1858709166 creator A5034827753 @default.
• W1858709166 creator A5036303967 @default.
• W1858709166 creator A5036896719 @default.
• W1858709166 creator A5038102046 @default.
• W1858709166 creator A5039611937 @default.
• W1858709166 creator A5040770914 @default.
• W1858709166 creator A5042299275 @default.
• W1858709166 creator A5042783934 @default.
• W1858709166 creator A5043069598 @default.
• W1858709166 creator A5043242150 @default.
• W1858709166 creator A5044048476 @default.
• W1858709166 creator A5044875947 @default.
• W1858709166 creator A5047340885 @default.
• W1858709166 creator A5055511139 @default.
• W1858709166 creator A5056326170 @default.
• W1858709166 creator A5057135919 @default.
• W1858709166 creator A5059560495 @default.
• W1858709166 creator A5060911765 @default.
• W1858709166 creator A5061931771 @default.
• W1858709166 creator A5062883630 @default.
• W1858709166 creator A5067354038 @default.
• W1858709166 creator A5067387552 @default.
• W1858709166 creator A5068097338 @default.
• W1858709166 creator A5068555852 @default.
• W1858709166 creator A5071478025 @default.
• W1858709166 creator A5077504072 @default.
• W1858709166 creator A5078482348 @default.
• W1858709166 creator A5078999064 @default.
• W1858709166 creator A5090023199 @default.
• W1858709166 date "2015-10-30" @default.
• W1858709166 modified "2023-10-08" @default.
• W1858709166 title "Drug-Gene Interactions of Antihypertensive Medications and Risk of Incident Cardiovascular Disease: A Pharmacogenomics Study from the CHARGE Consortium" @default.
• W1858709166 cites W1500963439 @default.
• W1858709166 cites W1963857359 @default.
• W1858709166 cites W1988167410 @default.
• W1858709166 cites W2003509258 @default.
• W1858709166 cites W2008047653 @default.
• W1858709166 cites W2014799253 @default.
• W1858709166 cites W2028169010 @default.
• W1858709166 cites W2039627167 @default.
• W1858709166 cites W2046854971 @default.
• W1858709166 cites W2056367362 @default.
• W1858709166 cites W2069006981 @default.
• W1858709166 cites W2079519145 @default.
• W1858709166 cites W2083961960 @default.
• W1858709166 cites W2097572487 @default.
• W1858709166 cites W2101605059 @default.
• W1858709166 cites W2102697854 @default.
• W1858709166 cites W2102804770 @default.
• W1858709166 cites W2103568011 @default.
• W1858709166 cites W2111437367 @default.
• W1858709166 cites W2114605626 @default.
• W1858709166 cites W2116831158 @default.
• W1858709166 cites W2127755983 @default.
• W1858709166 cites W2129869606 @default.
• W1858709166 cites W2133520037 @default.
• W1858709166 cites W2140040043 @default.
• W1858709166 cites W2141922205 @default.
• W1858709166 cites W2143390696 @default.
• W1858709166 cites W2166501262 @default.
• W1858709166 cites W2167306345 @default.
• W1858709166 doi "https://doi.org/10.1371/journal.pone.0140496" @default.
• W1858709166 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4627813" @default.
• W1858709166 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26516778" @default.
• W1858709166 hasPublicationYear "2015" @default.
• W1858709166 type Work @default.
• W1858709166 sameAs 1858709166 @default.
• W1858709166 citedByCount "15" @default.
• W1858709166 countsByYear W18587091662016 @default.
• W1858709166 countsByYear W18587091662017 @default.
• W1858709166 countsByYear W18587091662018 @default.

• next