Evidence map›Paper›PMID 41831324›Full record

ArticleHuman psychopharmacology2026

Developing a Polygenic Risk Score for Weight Gain in People Treated for Psychosis-Application in a Real-World Setting.

Adrian Heald, Yasitha Illangasekera, Camila Marcelino Loureiro, Mark Shakespeare, Adam Jameson, Adrian Phillipson, Gavin P Reynolds, Caroline Dalton

Abstract read
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Article in Human psychopharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

8 authors.

Adrian HealdDepartment of Endocrinology and Diabetes, Salford Royal Hospital, Salford, UK.ORCID 0000-0002-9537-4050
Yasitha IllangasekeraSheffield Hallam University, Biomolecular Sciences Research Centre, Sheffield, UK.
Camila Marcelino LoureiroSheffield Hallam University, Biomolecular Sciences Research Centre, Sheffield, UK.
Mark ShakespeareRotherham, Doncaster and South Humber NHS Foundation, Doncaster, UK.
Adam JamesonSchool of Pharmacy and Medical Sciences, University of Bradford, Bradford, UK.
Adrian PhillipsonRotherham, Doncaster and South Humber NHS Foundation, Doncaster, UK.
Gavin P ReynoldsSheffield Hallam University, Biomolecular Sciences Research Centre, Sheffield, UK.
Caroline DaltonSheffield Hallam University, Biomolecular Sciences Research Centre, Sheffield, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGenetic factors are thought to play an important role in antipsychotic-induced weight gain (AIWG). Polygenic risk scores (PRS) could provide a measure of genetic predisposition to antipsychotic drug induced weight gain (AIWG).We conducted a study to examine how a PRS, generated using SNPs, identified from a recent meta-analysis, related to weight-change over time in people with first episode-psychosis.

methodsThe PRS included SNPs in six different genes, identified as having significant associations (p < 0.05) with AIWG. These were HTR2C rs3813929; MTHFR rs1801133; ADRA2A rs1800544; MC4R rs489693; LEPR rs1137101 and CNR1 rs1049353. An additive PRS and a risk allele based weighted PRS were created based on risk allele counts and presence or absence of risk alleles respectively. The additive PRS was also used to create low/high genetic risk groups for analysis. The association between PRS and weight gain per day (WGPD) in grams/day as well as BMI percentage change (=> 7%) was investigated using regression models.

resultsIn multiple regression analysis, the additive PRS significantly predicted AIWG in females (adjusted r

conclusionWe report a PRS that is predictive of weight gain in women treated for first episode psychosis, accounting for 59% of the variance daily weight-gain over time. Validation in an independent cohort is required, as is determining whether it is feasible to apply the PRS prospectively.

Indexed as

Antipsychotic AgentsMultifactorial InheritancePsychotic DisordersWeight GainAdolescentAdultFemaleGenetic Predisposition to DiseaseGenetic Risk ScoreHumansMaleMethylenetetrahydrofolate Reductase (NADPH2)Polymorphism, Single NucleotideReceptor, Cannabinoid, CB1Receptor, Melanocortin, Type 4Receptors, Adrenergic, alpha-2ADRA2A protein, humanAntipsychotic AgentsCNR1 protein, humanLEPR protein, humanMC4R protein, humanMethylenetetrahydrofolate Reductase (NADPH2)MTHFR protein, humanReceptor, Cannabinoid, CB1Receptor, Melanocortin, Type 4Receptors, Adrenergic, alpha-2Receptor, Serotonin, 5-HT2CReceptors, Leptinantipsychoticassociationgenepolygenic risk scorepsychosisweight gain

Identifiers

PMID41831324
PMCPMC12988834

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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.