Evidence map›Paper›PMID 38766848›Full record

ReviewCirculation. Genomic and precision medicine2024

Using Omics to Identify Novel Therapeutic Targets in Heart Failure.

Christelle Lteif, Yimei Huang, Leonardo A Guerra, Brian E Gawronski, Julio D Duarte

Abstract readReview
In one paragraph

Review in Circulation. Genomic and precision medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Serum Metabolites and Heart Failure Risk: MESA and RS.Journal of the American Heart Association · 2025
    Article
  6. One Syndrome, Many Faces: A Unified Perspective on Heart Failure Phenotypes.International journal of molecular sciences · 2025
    Review
  7. Article
  8. Review
  9. Review
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

5 authors.

Christelle LteifCenter for Pharmacogenomics and Precision Medicine, Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL.ORCID 0000-0002-0468-8936
Yimei HuangCenter for Pharmacogenomics and Precision Medicine, Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL.ORCID 0000-0002-2011-4844
Leonardo A GuerraCenter for Pharmacogenomics and Precision Medicine, Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL.ORCID 0000-0001-7385-7337
Brian E GawronskiCenter for Pharmacogenomics and Precision Medicine, Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL.ORCID 0009-0000-9513-4244
Julio D DuarteCenter for Pharmacogenomics and Precision Medicine, Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL.ORCID 0000-0001-9766-4038

Funding

Preemptive pharmacogenetic testing in medically underserved populationsR01HG011800 · NHGRI · UNIVERSITY OF FLORIDA · PI Julio David Duarte · 2021 to 2026
$3.9M
Training Program for Applied Research and Development in Genomic MedicineT32HG008958 · NHGRI · UNIVERSITY OF FLORIDA · PI Larisa Humma Cavallari, Stephen E. Kimmel · 2018 to 2026
$3.8M
NHGRI NIH HHS R01 HG011800NHGRI NIH HHS T32 HG008958
6 · The paper itself

Abstract

Omics refers to the measurement and analysis of the totality of molecules or biological processes involved within an organism. Examples of omics data include genomics, transcriptomics, epigenomics, proteomics, metabolomics, and more. In this review, we present the available literature reporting omics data on heart failure that can inform the development of novel treatments or innovative treatment strategies for this disease. This includes polygenic risk scores to improve prediction of genomic data and the potential of multiomics to more efficiently identify potential treatment targets for further study. We also discuss the limitations of omic analyses and the barriers that must be overcome to maximize the utility of these types of studies. Finally, we address the current state of the field and future opportunities for using multiomics to better personalize heart failure treatment strategies.

Indexed as

EpigenomicsGenomicsHeart FailureMetabolomicsProteomicsHumansPrecision Medicinedrug discoverygenomicsheart failuremultiomicspolygenic risk scoretherapeuticstranscriptomics

Identifiers

PMID38766848
PMCPMC11187651

What OpenQuestion holds

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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 OpenQuestion graph.