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Genomics of Treatable Traits in Asthma
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 insight...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10531302/ https://www.ncbi.nlm.nih.gov/pubmed/37761964 http://dx.doi.org/10.3390/genes14091824 |
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author | Espuela-Ortiz, Antonio Martin-Gonzalez, Elena Poza-Guedes, Paloma González-Pérez, Ruperto Herrera-Luis, Esther |
author_facet | Espuela-Ortiz, Antonio Martin-Gonzalez, Elena Poza-Guedes, Paloma González-Pérez, Ruperto Herrera-Luis, Esther |
author_sort | Espuela-Ortiz, Antonio |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10531302 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-105313022023-09-28 Genomics of Treatable Traits in Asthma Espuela-Ortiz, Antonio Martin-Gonzalez, Elena Poza-Guedes, Paloma González-Pérez, Ruperto Herrera-Luis, Esther Genes (Basel) Review 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. MDPI 2023-09-20 /pmc/articles/PMC10531302/ /pubmed/37761964 http://dx.doi.org/10.3390/genes14091824 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Espuela-Ortiz, Antonio Martin-Gonzalez, Elena Poza-Guedes, Paloma González-Pérez, Ruperto Herrera-Luis, Esther Genomics of Treatable Traits in Asthma |
title | Genomics of Treatable Traits in Asthma |
title_full | Genomics of Treatable Traits in Asthma |
title_fullStr | Genomics of Treatable Traits in Asthma |
title_full_unstemmed | Genomics of Treatable Traits in Asthma |
title_short | Genomics of Treatable Traits in Asthma |
title_sort | genomics of treatable traits in asthma |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10531302/ https://www.ncbi.nlm.nih.gov/pubmed/37761964 http://dx.doi.org/10.3390/genes14091824 |
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