Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/40774
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dc.contributor.authorRodrigues, Guilhermept_PT
dc.contributor.authorMarçalo, Ruipt_PT
dc.contributor.authorMoura, Gabrielapt_PT
dc.contributor.authorAfreixo, Verapt_PT
dc.contributor.authorMarques, Aldapt_PT
dc.date.accessioned2024-02-19T10:10:07Z-
dc.date.available2024-02-19T10:10:07Z-
dc.date.issued2023-12-10-
dc.identifier.urihttp://hdl.handle.net/10773/40774-
dc.description.abstractPulmonary, as well as extrapulmonary features such as muscle weakness and reduced exercise capacity, contribute signifcantly to the morbidity and mortality as well as the individual, social and economic burden of chronic obstructive pulmonary disease (COPD). Aetiology is multifactorial, including extrinsic factors such as smoking, inactivity, malnutrition and corticosteroid use, as well as intrinsic factors such as hypoxia, hypercapnia, infammation and oxidative/nitrosative stress. Evidence suggests single-nucleotide polymorphisms (SNPs) may be involved in muscle wasting and other pathophysiological processes. A known genetic predisposition to functional impairment could therefore be useful in optimising the treatment of this meaningful patient-centred health domain. Hence, we conducted a cluster analysis and genome-wide association study (GWAS), to identify genetic variants associated with functional impairment in individuals with COPD.pt_PT
dc.language.isoengpt_PT
dc.publisherUniversidade de Aveiropt_PT
dc.rightsopenAccesspt_PT
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/pt_PT
dc.titleDecoding The Genetic Architecture Behind Disease Heterogeneity: A Genome-Wide Association Study And Cluster Analysis In COPDpt_PT
dc.typeconferenceObjectpt_PT
dc.description.versionpublishedpt_PT
dc.peerreviewedyespt_PT
ua.event.date1-2 junho, 2023pt_PT
degois.publication.firstPage13pt_PT
degois.publication.issue2pt_PT
degois.publication.lastPage13pt_PT
degois.publication.titleJournal of Statistics in Health Decision. Special Issue - Statistics on Health Decision Making: Personalized Medicinept_PT
degois.publication.volume5pt_PT
dc.identifier.doi10.34624/jshd.v5i2.32432pt_PT
Appears in Collections:ESSUA - Comunicações
IBIMED - Comunicações
Lab3R - Comunicações

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