Evidence map›Paper›PMID 36852609›Full record

ArticleEuropean psychiatry : the journal of the Association of European Psychiatrists2023

Polygenic risk scores enhance prediction of body mass index increase in individuals with a first episode of psychosis.

Gerard Muntané, Javier Vázquez-Bourgon, Ester Sada, Lourdes Martorell, Sergi Papiol, Elena Bosch, Arcadi Navarro, Benedicto Crespo-Facorro, Elisabet Vilella

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Article in European psychiatry : the journal of the Association of European Psychiatrists, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Gerard MuntanéHospital Universitari Institut Pere Mata, IISPV, Universitat Rovira i Virgili, Reus, Spain.ORCID 0000-0003-1541-8365
Javier Vázquez-BourgonCentro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.ORCID 0000-0002-5478-3376
Ester SadaHospital Universitari Institut Pere Mata, IISPV, Universitat Rovira i Virgili, Reus, Spain.ORCID 0000-0003-1361-8136
Lourdes MartorellHospital Universitari Institut Pere Mata, IISPV, Universitat Rovira i Virgili, Reus, Spain.ORCID 0000-0003-4999-2197
Sergi PapiolCentro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.ORCID 0000-0001-9366-8728
Elena BoschCentro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.ORCID 0000-0003-2848-103X
Arcadi NavarroInstitut de Biologia Evolutiva (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain.
Benedicto Crespo-FacorroCentro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.ORCID 0000-0003-0033-7132
Elisabet VilellaHospital Universitari Institut Pere Mata, IISPV, Universitat Rovira i Virgili, Reus, Spain.ORCID 0000-0002-1887-5919

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndividuals 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.

methodsWe assembled a population-based FEP cohort of 381 individuals that was split into a Training (

resultsThe 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 ∆BMI 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 ∆BMI better at 3 (12.2%) and 12 months (53.2%).

conclusionsWe prove for the first time that genetic factors play a key role in determining ∆BMI during the FEP. This finding has important clinical implications for the early identification 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.

Indexed as

Genome-Wide Association StudyPsychotic DisordersBody Mass IndexHumansRisk FactorsWeight GainBMIfirst-episode psychosispleiotropypolygenic risk scoresweight gain

Identifiers

PMID36852609
PMCPMC10044301

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.