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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 |