Evidence map›Paper›PMID 41157930›Full record

ArticlePsychiatric genetics2025

Polygenic risks and cardiovascular treatment effects in severe mental illness.

Kai Yao, Alexandra Burton, Samira Heinkel, David Osborn, Nick Bass, Andrew McQuillin

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Article in Psychiatric genetics, 2025. 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Kai YaoMolecular Psychiatry Laboratory, Division of Psychiatry, Faculty of Brain Sciences, University College London.
Alexandra BurtonCentre for Psychiatry and Mental Health, Wolfson Institute of Population Health.
Samira HeinkelDivision of Psychiatry, Faculty of Brain Sciences, University College London, London, UK.
David OsbornDivision of Psychiatry, Faculty of Brain Sciences, University College London, London, UK.
Nick BassMolecular Psychiatry Laboratory, Division of Psychiatry, Faculty of Brain Sciences, University College London.
Andrew McQuillinMolecular Psychiatry Laboratory, Division of Psychiatry, Faculty of Brain Sciences, University College London.

Funding

National Institute for Health Research RP-PG-0609-10156
6 · The paper itself

Abstract

objectivePatients with severe mental illness (SMI) experience increased cardiovascular risks, leading to reduced life expectancy. Polygenic risk scores (PRS) prediction is promising for assessing cardiovascular risks. This study evaluated the predictive utility of cardiovascular PRS and the impact from risk-reducing interventions among patients with SMI.

methodsUsing samples from the PRIMROSE programme, involving longitudinal cardiovascular interventions within primary care, we calculated seven cardiovascular and two psychiatric (bipolar/schizophrenia) PRS to predict seven corresponding cardiovascular measures [total cholesterol/high-density lipoprotein cholesterol/low-density lipoprotein cholesterol (LDL)/triglyceride/systolic blood pressure/diastolic blood pressure/BMI] assessed at baseline and 12-month follow-up. We applied multiple linear regression models at the two time points and explored the interactions between cardiovascular and psychiatric PRS on these treatment outcomes.

resultsAt baseline, most cardiovascular PRS were associated with the respective measures, except LDL. At follow-up, the participants showed significant improvements in total cholesterol and systolic blood pressure measures; however, these two PRS's prediction effects attenuated toward the null. LDL measures became negatively associated with bipolar PRS posttreatment, though no significant interaction effects were found. Participants in the highest bipolar PRS quartile group had 0.58 mmol/L lower LDL measures than the lowest quartile group at follow-up. These results were robust to potential power reduction, participants' age, sex, prescribed medications, smoking habits, alcohol consumption, and physical activity.

conclusionOur findings underscore the dynamic interplay between genetic risks and treatment effects on cardiovascular outcomes in SMI and warrant careful PRS assessment timing. While the clinical utility of PRS is still evolving, future research should explore different disorders' subtype-specific genetic interactions with interventions.

Indexed as

Cardiovascular DiseasesMental DisordersMultifactorial InheritanceAdultBipolar DisorderBlood PressureFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedRisk FactorsSchizophreniacardiovascular riskpolygenic riskprimary carerisk predictionsevere mental illness

Identifiers

PMID41157930
PMCPMC12588646

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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.