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Genetic insights into lung function inform better management of respiratory diseases
Shrine et al.(1) conducted the largest multi-ancestry genome-wide meta-analysis of lung function and identified 1,020 signals associated with lung function. These provide novel insights into the genetic underpins of lung function and may inform better clinical management of respiratory disorders.
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10213829/ https://www.ncbi.nlm.nih.gov/pubmed/37196630 http://dx.doi.org/10.1016/j.xcrm.2023.101041 |
| _version_ | 1785047712169721856 |
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| author | Qin, Na Wang, Cheng Hu, Zhibin |
| author_facet | Qin, Na Wang, Cheng Hu, Zhibin |
| author_sort | Qin, Na |
| collection | PubMed |
| description | Shrine et al.(1) conducted the largest multi-ancestry genome-wide meta-analysis of lung function and identified 1,020 signals associated with lung function. These provide novel insights into the genetic underpins of lung function and may inform better clinical management of respiratory disorders. |
| format | Online Article Text |
| id | pubmed-10213829 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | Elsevier |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-102138292023-05-27 Genetic insights into lung function inform better management of respiratory diseases Qin, Na Wang, Cheng Hu, Zhibin Cell Rep Med Spotlight Shrine et al.(1) conducted the largest multi-ancestry genome-wide meta-analysis of lung function and identified 1,020 signals associated with lung function. These provide novel insights into the genetic underpins of lung function and may inform better clinical management of respiratory disorders. Elsevier 2023-05-16 /pmc/articles/PMC10213829/ /pubmed/37196630 http://dx.doi.org/10.1016/j.xcrm.2023.101041 Text en © 2023. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
| spellingShingle | Spotlight Qin, Na Wang, Cheng Hu, Zhibin Genetic insights into lung function inform better management of respiratory diseases |
| title | Genetic insights into lung function inform better management of respiratory diseases |
| title_full | Genetic insights into lung function inform better management of respiratory diseases |
| title_fullStr | Genetic insights into lung function inform better management of respiratory diseases |
| title_full_unstemmed | Genetic insights into lung function inform better management of respiratory diseases |
| title_short | Genetic insights into lung function inform better management of respiratory diseases |
| title_sort | genetic insights into lung function inform better management of respiratory diseases |
| topic | Spotlight |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10213829/ https://www.ncbi.nlm.nih.gov/pubmed/37196630 http://dx.doi.org/10.1016/j.xcrm.2023.101041 |
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