Evidence map›Paper›PMID 37761964›Full record

ReviewGenes2023

Genomics of Treatable Traits in Asthma.

Antonio Espuela-Ortiz, Elena Martin-Gonzalez, Paloma Poza-Guedes, Ruperto González-Pérez, Esther Herrera-Luis

Open access · goldAbstract readReview
In one paragraph

Review in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. IgG Antibody Titers AgainstTropical medicine and infectious disease · 2024
    Article
  3. Article
  4. Article
  5. Article
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 at 3 institutions in 2 countries.

Antonio Espuela-OrtizGenomics and Health Group, Department of Biochemistry, Microbiology, Cell Biology and Genetics, Universidad de La Laguna (ULL), 38200 San Cristóbal de La Laguna, Tenerife, Spain.ORCID 0000-0003-0572-9549
Elena Martin-GonzalezGenomics and Health Group, Department of Biochemistry, Microbiology, Cell Biology and Genetics, Universidad de La Laguna (ULL), 38200 San Cristóbal de La Laguna, Tenerife, Spain.ORCID 0000-0002-3522-3103
Paloma Poza-GuedesAllergy Department, Hospital Universitario de Canarias, 38320 Santa Cruz de Tenerife, Tenerife, Spain.ORCID 0000-0001-8516-6648
Ruperto González-PérezAllergy Department, Hospital Universitario de Canarias, 38320 Santa Cruz de Tenerife, Tenerife, Spain.ORCID 0000-0002-6664-0276
Esther Herrera-LuisDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA.ORCID 0000-0003-4150-5454
Hospital Universitario de Canarias · ESUniversidad de La Laguna · ESJohns Hopkins University · US

Funding

The influence of genetic ancestry and population-specific epidemiology on the transferability of genomic findings to diverse and admixed populationsR35HG011944 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI WOJCIK, GENEVIEVE LIANNE · 2021 to 2025
$2.3M
NHGRI NIH HHS R35 HG011944
6 · The paper itself

Abstract

The astounding number of genetic variants revealed in the 15 years of genome-wide association studies of asthma has not kept pace with the goals of translational genomics. Moving asthma diagnosis from a nonspecific umbrella term to specific phenotypes/endotypes and related traits may provide insights into features that may be prevented or alleviated by therapeutical intervention. This review provides an overview of the different asthma endotypes and phenotypes and the genomic findings from asthma studies using patient stratification strategies and asthma-related traits. Asthma genomic research for treatable traits has uncovered novel and previously reported asthma loci, primarily through studies in Europeans. Novel genomic findings for asthma phenotypes and related traits may arise from multi-trait and specific phenotyping strategies in diverse populations.

Indexed as

AsthmaGenome-Wide Association StudyGenomicsHumansPhenotypeasthmaasthma phenotypeendotypegenomicsGWASprecision medicine

Identifiers

PMID37761964
PMCPMC10531302
OpenAlexW4386879491

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.