Evidence map›Paper›PMID 31728800›Full record

ArticleCardiovascular drugs and therapy2019

Association of Regulatory Genetic Variants for Protein Kinase Cα with Mortality and Drug Efficacy in Patients with Heart Failure.

Jasmine A Luzum, Christopher Ting, Edward L Peterson, Hongsheng Gui, Tyler Shugg, L Keoki Williams, Liang Li, Wolfgang Sadee, Danxin Wang, David E Lanfear

Open access · greenAbstract read
In one paragraph

Article in Cardiovascular drugs and therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 42% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Trial
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 2 countries.

Jasmine A LuzumDepartment of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor, MI, 48109, USA. jluzum@umich.edu.ORCID http://orcid.org/0000-0003-3639-717X
Christopher TingDepartment of Internal Medicine, Henry Ford Health System, Detroit, MI, USA.
Edward L PetersonDepartment of Public Health Sciences, Henry Ford Health System, Detroit, MI, USA.
Hongsheng GuiCenter for Individualized and Genomic Medicine Research (CIGMA), Henry Ford Health System, Detroit, MI, USA.
Tyler ShuggDepartment of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor, MI, 48109, USA.
L Keoki WilliamsCenter for Individualized and Genomic Medicine Research (CIGMA), Henry Ford Health System, Detroit, MI, USA.
Liang LiDepartment of Medical Genetics, Southern Medical University, Guangzhou, China.
Wolfgang SadeeCenter for Pharmacogenomics and Department of Cancer Biology and Genetics, College of Medicine, Ohio State University, Columbus, OH, USA.
Danxin WangDepartment of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, USA.
David E LanfearCenter for Individualized and Genomic Medicine Research (CIGMA), Henry Ford Health System, Detroit, MI, USA.
Henry Ford Health System · USSouthern Medical University · CNThe Ohio State University · USUniversity of Florida · USUniversity of Michigan · US

Funding

PHARMACOGENOMICS OF INHALED CORTICOSTEROID RESPONSIVENESS IN PATIENTS WITH ASTHMAR01AI079139 · NIAID · HENRY FORD HEALTH SYSTEM · PI WILLIAMS, KEOKI · 2009 to 2013
$3.9M
Impact of Race and Genetic Factors on Beta-blocker Effectiveness in Heart FailureR01HL103871 · NHLBI · HENRY FORD HEALTH SYSTEM · PI LANFEAR, DAVID E · 2011 to 2015
$3.5M
Leveraging electronic medical records to perform large-scale diabetes pharmacogenomics among ancestrally diverse patient populationsR01DK113003 · NIDDK · HENRY FORD HEALTH SYSTEM · PI WILLIAMS, KEOKI · 2017 to 2021
$3.2M
Plasma Metabolomics and Myocardial Energetics in Heart FailureR01HL132154 · NHLBI · HENRY FORD HEALTH SYSTEM · PI LANFEAR, DAVID E, SABBAH, HANI N · 2017 to 2020
$3.1M
Combined Transcriptomics and Genomics to Find Asthma Genes in Admixed PopulationsR01HL118267 · NHLBI · HENRY FORD HEALTH SYSTEM · PI WILLIAMS, KEOKI · 2014 to 2017
$2.9M
VALIDATION OF ADHERENCE DATA--USE IN CLINICAL PRACTICER01DK064695 · NIDDK · HENRY FORD HEALTH SYSTEM · PI WILLIAMS, KEOKI · 2003 to 2010
$2.7M
Precision Medicine for Heart Failure: The Role of Genomics in the Efficacy and Racial Disparity of Cornerstone PharmacotherapyK08HL146990 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUZUM, JASMINE A · 2019 to 2023
$772k
NHLBI NIH HHS K08 HL146990NHLBI NIH HHS L30 HL110279NHLBI NIH HHS R01 HL103871NHLBI NIH HHS R01 HL118267NHLBI NIH HHS R01 HL132154NIAID NIH HHS R01 AI079139NIDDK NIH HHS R01 DK064695NIDDK NIH HHS R01 DK113003
6 · The paper itself

Abstract

purposeProtein kinase C alpha (gene: PRKCA) is a key regulator of cardiac contractility. Two genetic variants have recently been discovered to regulate PRKCA expression in failing human heart tissue (rs9909004 [T → C] and rs9303504 [C → G]). The association of those variants with clinical outcomes in patients with heart failure (HF), and their interaction with HF drug efficacy, is unknown.

methodsPatients with HF in a prospective registry starting in 2007 were genotyped by whole genome array (n = 951). The primary outcome was all-cause mortality. Cox proportional hazards models adjusted for established clinical risk factors and genomic ancestry tested the independent association of rs9909004 or rs9303504 and the variant interactions with cornerstone HF pharmacotherapies (beta-blockers or angiotensin-converting enzyme inhibitors/angiotensin receptor blockers) in additive genetic models.

resultsThe minor allele of rs9909004, but not of rs9303504, was independently associated with a decreased risk for all-cause mortality: adjusted HR = 0.81 (95% CI = 0.67-0.98), p = 0.032. The variants did not significantly interact with mortality benefit associated with cornerstone HF pharmacotherapies (p > 0.1 for all).

conclusionsA recently discovered cardiac-specific regulatory variant for PRKCA (rs9909004) was independently associated with a decreased risk for all-cause mortality in patients with HF. The variant did not interact with mortality benefit associated with cornerstone HF pharmacotherapies.

Indexed as

Polymorphism, Single NucleotideAdrenergic beta-AntagonistsAgedAged, 80 and overAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsCardiovascular AgentsFemaleGenetic Association StudiesGenetic Predisposition to DiseaseHeart FailureHumansMaleMiddle AgedPhenotypeProspective StudiesAdrenergic beta-AntagonistsAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsCardiovascular AgentsPRKCA protein, humanProtein Kinase C-alphaHeart failureMortalityProtein kinase Cα (PRKCA)Regulatory variants

Identifiers

PMID31728800
PMCPMC7197488
OpenAlexW2986098599

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.