dc.creator | Muntane, Gerard | es |
dc.creator | Vázquez-Bourgon, Javier | es |
dc.creator | Sada, Ester | es |
dc.creator | Martorell, Lourdes | es |
dc.creator | Papiol, Sergi | es |
dc.creator | Bosch, Elena | es |
dc.creator | Navarro, Arcadi | es |
dc.creator | Crespo Facorro, Benedicto | es |
dc.creator | Vilella, Elisabet | es |
dc.date.accessioned | 2023-09-18T13:38:20Z | |
dc.date.available | 2023-09-18T13:38:20Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Muntane, G., Vázquez-Bourgon, J., Sada, E., Martorell, L., Papiol, S., Bosch, E.,...,Vilella, E. (2023). Polygenic risk scores enhance prediction of body mass index increase in individuals with a first episode of psychosis. EUROPEAN PSYCHIATRY, 66 (1). https://doi.org/10.1192/j.eurpsy.2023.9. | |
dc.identifier.issn | 0924-9338 | es |
dc.identifier.uri | https://hdl.handle.net/11441/148977 | |
dc.description.abstract | Background. Individuals with a first episode of psychosis (FEP) show rapid weight gain during
the first months of treatment, which is associated with a reduction in general physical health.
Although genetics is assumed to be a significant contributor to weight gain, its exact role is
unknown.
Methods. We assembled a population-based FEP cohort of 381 individuals that was split into a
Training (n = 224) set and a Validation (n = 157) set to calculate the polygenic risk score (PRS) in
a two-step process. In parallel, we obtained reference genome-wide association studies for body
mass index (BMI) and schizophrenia (SCZ) to examine the pleiotropic landscape between the
two traits. BMI PRSs were added to linear models that included sociodemographic and clinical
variables to predict BMI increase (ΔBMI) in the Validation set.
Results. The results confirmed considerable shared genetic susceptibility for the two traits
involving 449 near-independent genomic loci. The inclusion of BMI PRSs significantly
improved the prediction of ΔBMI at 12 months after the onset of antipsychotic treatment by
49.4% compared to a clinical model. In addition, we demonstrated that the PRS containing
pleiotropic information between BMI and SCZ predicted ΔBMI better at 3 (12.2%) and
12 months (53.2%).
Conclusions. We prove for the first time that genetic factors play a key role in determining
ΔBMI during the FEP. This finding has important clinical implications for the early identifi-
cation of individuals most vulnerable to weight gain and highlights the importance of examining
genetic pleiotropy in the context of medically important comorbidities for predicting future
outcomes. | es |
dc.format | application/pdf | es |
dc.format.extent | 9 p. | es |
dc.language.iso | eng | es |
dc.publisher | ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER | es |
dc.relation.ispartof | EUROPEAN PSYCHIATRY, 66 (1). | |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | BMI | es |
dc.subject | First-episode psychosis | es |
dc.subject | Pleiotropy | es |
dc.subject | Polygenic risk scores | es |
dc.subject | Weight gain | es |
dc.title | Polygenic risk scores enhance prediction of body mass index increase in individuals with a first episode of psychosis | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Psiquiatría | es |
dc.relation.projectID | AGAUR, 2017SGR-0044 | es |
dc.relation.projectID | PI18/00514 | es |
dc.relation.projectID | PI21/00612 | es |
dc.relation.publisherversion | https://www.cambridge.org/core/journals/european-psychiatry/article/polygenic-risk-scores-enhance-prediction-of-body-mass-index-increase-in-individuals-with-a-first-episode-of-psychosis/956AAE48C1BC1A8CCC1D35D23F99B219 | es |
dc.identifier.doi | 10.1192/j.eurpsy.2023.9 | es |
dc.journaltitle | EUROPEAN PSYCHIATRY | es |
dc.publication.volumen | 66 | es |
dc.publication.issue | 1 | es |
dc.contributor.funder | Catalan Agency of Research and Universities | es |
dc.contributor.funder | Instituto de Salud Carlos III | es |