MétaCan
Menu
Back to cohort
Record W3181496761 · doi:10.1002/cpt.2355

Adverse Cardiovascular Outcomes and Antihypertensive Treatment: A Genome‐Wide Interaction Meta‐Analysis in the International Consortium for Antihypertensive Pharmacogenomics Studies

2021· review· en· W3181496761 on OpenAlexaff
Caitrin W. McDonough, Helen R. Warren, John Jack, Alison A. Motsinger‐Reif, Nicole D. Armstrong, Joshua C. Bis, John S. House, Sonal Singh, Nihal M. El Rouby, Yan Gong, Joesyf C. Mychaleckyj, Daniel M. Rotroff, Oscar Benavente, Mark J. Caulfield, Alessandro Doria, Carl J. Pepine, Bruce M. Psaty, Valeria Glorioso, Nicola Glorioso, Timo P. Hiltunen, Kimmo Kontula, Donna K. Arnett, John B. Buse, Marguerite R. Irvin, Julie A. Johnson, Patricia B. Munroe, Michael J. Wagner, Rhonda M. Cooper‐DeHoff

Bibliographic record

VenueClinical Pharmacology & Therapeutics · 2021
Typereview
Languageen
FieldMedicine
TopicHormonal Regulation and Hypertension
Canadian institutionsUniversity of British Columbia
FundersNational Center for Advancing Translational SciencesNational Center for Research ResourcesNational Institute of Neurological Disorders and StrokeBarts CharityNational Institute of General Medical SciencesNational Institute of Diabetes and Digestive and Kidney DiseasesNational Heart, Lung, and Blood InstituteNational Institute for Health and Care ResearchNational Institutes of Health
KeywordsMedicinePharmacogenomicsAntihypertensive drugInternal medicineThiazidePharmacogeneticsGenome-wide association studyBlood pressureSingle-nucleotide polymorphismOdds ratioPharmacologyCardiologyBioinformaticsGenotypeGeneticsBiology

Abstract

fetched live from OpenAlex

We sought to identify genome‐wide variants influencing antihypertensive drug response and adverse cardiovascular outcomes, utilizing data from four randomized controlled trials in the International Consortium for Antihypertensive Pharmacogenomics Studies (ICAPS). Genome‐wide antihypertensive drug‐single nucleotide polymorphism (SNP) interaction tests for four drug classes (β‐blockers, n = 9,195; calcium channel blockers (CCBs), n = 10,511; thiazide/thiazide‐like diuretics, n = 3,516; ACE‐inhibitors/ARBs, n = 2,559) and cardiovascular outcomes (incident myocardial infarction, stroke, or death) were analyzed among patients with hypertension of European ancestry. Top SNPs from the meta‐analyses were tested for replication of cardiovascular outcomes in an independent Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) study ( n = 21,267), blood pressure (BP) response in independent ICAPS studies ( n = 1,552), and ethnic validation in African Americans from the Genetics of Hypertension Associated Treatment study (GenHAT; n = 5,115). One signal reached genome‐wide significance in the β‐blocker‐SNP interaction analysis (rs139945292, Interaction P = 1.56 × 10 −8 ). rs139945292 was validated through BP response to β‐blockers, with the T‐allele associated with less BP reduction (systolic BP response P = 6 × 10 −4 , Beta = 3.09, diastolic BP response P = 5 × 10 −3 , Beta = 1.53). The T‐allele was also associated with increased adverse cardiovascular risk within the β‐blocker treated patients’ subgroup ( P = 2.35 × 10 −4 , odds ratio = 1.57, 95% confidence interval = 1.23–1.99). The locus showed nominal replication in CHARGE, and consistent directional trends in β‐blocker treated African Americans. rs139945292 is an expression quantitative trait locus for the 50 kb upstream gene NTM (neurotrimin). No SNPs attained genome‐wide significance for any other drugs classes. Top SNPs were located near CALB1 (CCB), FLJ367777 (ACE‐inhibitor), and CES5AP1 (thiazide). The NTM region is associated with increased risk for adverse cardiovascular outcomes and less BP reduction in β‐blocker treated patients. Further investigation into this region is warranted.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.538
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0070.007
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.491
GPT teacher head0.531
Teacher spread0.041 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations16
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueClinical Pharmacology & TherapeuticsSame topicHormonal Regulation and HypertensionFrench-language works237,207