Evidence map›Paper›PMID 33012170›Full record

ArticleCirculation. Heart failure2020

Polygenic Score for β-Blocker Survival Benefit in European Ancestry Patients With Reduced Ejection Fraction Heart Failure.

David E Lanfear, Jasmine A Luzum, Ruicong She, Hongsheng Gui, Mark P Donahue, Christopher M O'Connor, Kirkwood F Adams, Sandra Sanders-van Wijk, Nicole Zeld, Micha T Maeder and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Circulation. Heart failure, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 9% 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Guideline
  2. Common Variants onCirculation. Heart failure · 2023
    Pooled it
  3. Trial
  4. Trial
  5. Polygenic risk scores in pharmacogenomics: methodological challenges, current applications, and perspectives for clinical implementation.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026
    Article
  6. Polygenic risk scores for cardiovascular disease: clinical utility and limitations.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2026
    Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. Polygenic Risk Scores in Human Disease.Clinical chemistry · 2025
    Review
  16. Article
  17. Review
  18. Using Omics to Identify Novel Therapeutic Targets in Heart Failure.Circulation. Genomic and precision medicine · 2024
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 8 institutions in 4 countries.

David E LanfearDepartment of Internal Medicine, Center for Individualized and Genomic Medicine Research (D.E.L., J.A.L., R.S., H.G., N.Z., J.L., L.K.W.), Henry Ford Hospital, Detroit, MI.
Jasmine A LuzumDepartment of Internal Medicine, Center for Individualized and Genomic Medicine Research (D.E.L., J.A.L., R.S., H.G., N.Z., J.L., L.K.W.), Henry Ford Hospital, Detroit, MI.
Ruicong SheDepartment of Internal Medicine, Center for Individualized and Genomic Medicine Research (D.E.L., J.A.L., R.S., H.G., N.Z., J.L., L.K.W.), Henry Ford Hospital, Detroit, MI.
Hongsheng GuiDepartment of Internal Medicine, Center for Individualized and Genomic Medicine Research (D.E.L., J.A.L., R.S., H.G., N.Z., J.L., L.K.W.), Henry Ford Hospital, Detroit, MI.
Mark P DonahueDivision of Cardiology, Duke University, Durham, NC (M.P.D., W.E.K.).
Christopher M O'ConnorInova Heart and Vascular Institute, Falls Church, VA (C.M.O.).
Kirkwood F AdamsDivision of Cardiology, University of North Carolina, Chapel Hill (K.F.A.).
Sandra Sanders-van WijkDepartment of Cardiology, Maastricht University, the Netherlands (S.S.-v.W., H.-P.B.-L.).
Nicole ZeldDepartment of Internal Medicine, Center for Individualized and Genomic Medicine Research (D.E.L., J.A.L., R.S., H.G., N.Z., J.L., L.K.W.), Henry Ford Hospital, Detroit, MI.
Micha T MaederCardiology Department, Kantonsspital St. Gallen, Switzerland (M.T.M.).
Hani N SabbahHeart and Vascular Institute (D.E.L., H.N.S., J.L.), Henry Ford Hospital, Detroit, MI.
William E KrausDivision of Cardiology, Duke University, Durham, NC (M.P.D., W.E.K.).
Hans-Peter Brunner-LaRoccaDepartment of Cardiology, Maastricht University, the Netherlands (S.S.-v.W., H.-P.B.-L.).
Jia LiDepartment of Internal Medicine, Center for Individualized and Genomic Medicine Research (D.E.L., J.A.L., R.S., H.G., N.Z., J.L., L.K.W.), Henry Ford Hospital, Detroit, MI.
L Keoki WilliamsDepartment of Internal Medicine, Center for Individualized and Genomic Medicine Research (D.E.L., J.A.L., R.S., H.G., N.Z., J.L., L.K.W.), Henry Ford Hospital, Detroit, MI.
Henry Ford Hospital · USDuke University · USAlaska Heart and Vascular Institute · USKantonsspital St. Gallen · CHMaastricht University · NLSanden (Japan) · JPUniversity of Michigan · USUniversity of North Carolina at Chapel Hill · US

Funding

Substrate Selection and Oxidative Stress in Heart FailureP01HL074237 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI SABBAH, HANI N · 2003 to 2013
$19.9M
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
Poly-omic Study of Asthma Exacerbations in Diverse PopulationsR01HL141845 · NHLBI · HENRY FORD HEALTH SYSTEM · PI WILLIAMS, KEOKI · 2019 to 2022
$3.0M
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 P01 HL074237NHLBI NIH HHS R01 HL103871NHLBI NIH HHS R01 HL118267NHLBI NIH HHS R01 HL132154NHLBI NIH HHS R01 HL141845NIAID NIH HHS R01 AI079139NIDDK NIH HHS R01 DK064695NIDDK NIH HHS R01 DK113003
6 · The paper itself

Abstract

backgroundβ-Blockers (BBs) are mainstay therapy for heart failure with reduced ejection fraction. However, individual patient responses to BB vary, which may be partially due to genetic variation. The goal of this study was to derive and validate the first polygenic response predictor (PRP) for BB survival benefit in heart failure with reduced ejection fraction patients.

methodsDerivation and validation analyses were performed in n=1436 total HF patients of European descent and with ejection fraction <50%. The PRP was derived in a random subset of the Henry Ford Heart Failure Pharmacogenomic Registry (n=248) and then validated in a meta-analysis of the remaining patients from Henry Ford Heart Failure Pharmacogenomic Registry (n=247), the TIME-CHF (Trial of Intensified Versus Standard Medical Therapy in Elderly Patients With Congestive Heart Failure; n=431), and HF-ACTION trial (Heart Failure: a Controlled Trial Investigating Outcomes of Exercise Training; n=510). The PRP was constructed from a genome-wide analysis of BB×genotype interaction predicting time to all-cause mortality, adjusted for Meta-Analysis Global Group in Chronic Heart Failure score, genotype, level of BB exposure, and BB propensity score.

resultsFive-fold cross-validation summaries out to 1000 single-nucleotide polymorphisms identified optimal prediction with a 44 single-nucleotide polymorphism score and cutoff at the 30th percentile. In validation testing (n=1188), greater BB exposure was associated with reduced all-cause mortality in patients with low PRP score (n=251; hazard ratio, 0.19 [95% CI, 0.04-0.51];

conclusionsAmong patients of European ancestry with heart failure with reduced ejection fraction, a PRP distinguished patients who derived substantial survival benefit from BB exposure from a larger group that did not. Additional work is needed to prospectively test clinical utility and to develop PRPs for other population groups and other medications.

Indexed as

Multifactorial InheritanceAdrenergic beta-AntagonistsAgedBiomarkersFemaleGenotypeHeart FailureHumansMaleMiddle AgedPolymorphism, Single NucleotidePropensity ScoreRegistriesStroke VolumeSurvival AnalysisWhite PeopleAdrenergic beta-AntagonistsBiomarkersatrial fibrillationpharmacogeneticspopulation groupsprecision medicine

Identifiers

PMID33012170
PMCPMC7738407
OpenAlexW3090773455

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.