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Airway wall splice quantitative trait locus analysis reveals novel downstream mechanisms for known asthma single-nucleotide polymorphisms
Studying the effects of asthma SNPs on alternative splicing can lead to new insights into asthma pathophysiology. More specifically, a 17q12 SNP is associated to alternative splicing of GSDMB. https://bit.ly/3W49oTs
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
European Respiratory Society
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10068516/ https://www.ncbi.nlm.nih.gov/pubmed/37020836 http://dx.doi.org/10.1183/23120541.00413-2022 |
| _version_ | 1785018690005106688 |
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| author | Kole, Tessa M. Pouwels, Simon D. Bults, Rene Ketelaar, Marlies E. Guryev, Victor Koll, Lisanne Kerstjens, Huib A.M. Nawijn, Martijn C. Faiz, Alen van den Berge, Maarten |
| author_facet | Kole, Tessa M. Pouwels, Simon D. Bults, Rene Ketelaar, Marlies E. Guryev, Victor Koll, Lisanne Kerstjens, Huib A.M. Nawijn, Martijn C. Faiz, Alen van den Berge, Maarten |
| author_sort | Kole, Tessa M. |
| collection | PubMed |
| description | Studying the effects of asthma SNPs on alternative splicing can lead to new insights into asthma pathophysiology. More specifically, a 17q12 SNP is associated to alternative splicing of GSDMB. https://bit.ly/3W49oTs |
| format | Online Article Text |
| id | pubmed-10068516 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | European Respiratory Society |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-100685162023-04-04 Airway wall splice quantitative trait locus analysis reveals novel downstream mechanisms for known asthma single-nucleotide polymorphisms Kole, Tessa M. Pouwels, Simon D. Bults, Rene Ketelaar, Marlies E. Guryev, Victor Koll, Lisanne Kerstjens, Huib A.M. Nawijn, Martijn C. Faiz, Alen van den Berge, Maarten ERJ Open Res Research Letters Studying the effects of asthma SNPs on alternative splicing can lead to new insights into asthma pathophysiology. More specifically, a 17q12 SNP is associated to alternative splicing of GSDMB. https://bit.ly/3W49oTs European Respiratory Society 2023-04-03 /pmc/articles/PMC10068516/ /pubmed/37020836 http://dx.doi.org/10.1183/23120541.00413-2022 Text en Copyright ©The authors 2023 https://creativecommons.org/licenses/by-nc/4.0/This version is distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0. For commercial reproduction rights and permissions contact permissions@ersnet.org (mailto:permissions@ersnet.org) |
| spellingShingle | Research Letters Kole, Tessa M. Pouwels, Simon D. Bults, Rene Ketelaar, Marlies E. Guryev, Victor Koll, Lisanne Kerstjens, Huib A.M. Nawijn, Martijn C. Faiz, Alen van den Berge, Maarten Airway wall splice quantitative trait locus analysis reveals novel downstream mechanisms for known asthma single-nucleotide polymorphisms |
| title | Airway wall splice quantitative trait locus analysis reveals novel downstream mechanisms for known asthma single-nucleotide polymorphisms |
| title_full | Airway wall splice quantitative trait locus analysis reveals novel downstream mechanisms for known asthma single-nucleotide polymorphisms |
| title_fullStr | Airway wall splice quantitative trait locus analysis reveals novel downstream mechanisms for known asthma single-nucleotide polymorphisms |
| title_full_unstemmed | Airway wall splice quantitative trait locus analysis reveals novel downstream mechanisms for known asthma single-nucleotide polymorphisms |
| title_short | Airway wall splice quantitative trait locus analysis reveals novel downstream mechanisms for known asthma single-nucleotide polymorphisms |
| title_sort | airway wall splice quantitative trait locus analysis reveals novel downstream mechanisms for known asthma single-nucleotide polymorphisms |
| topic | Research Letters |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10068516/ https://www.ncbi.nlm.nih.gov/pubmed/37020836 http://dx.doi.org/10.1183/23120541.00413-2022 |
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