Imperial College London
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DrAntonioSimoes Monteiro de Marvao

Faculty of Medicine, Institute of Clinical Sciences

Honorary Clinical Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 3313 1510antonio.de-marvao

 
 
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Location

 

Robert Steiner MRI UnitHammersmith HospitalHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Pillinger:2023:10.1016/S2215-0366(22)00403-5,
author = {Pillinger, T and Osimo, EF and de, Marvao A and Shah, M and Francis, C and Huang, J and D'Ambrosio, E and Firth, J and Nour, MM and McCutcheon, RA and Pardiñas, AF and Matthews, PM and O'Regan, DP and Howes, OD},
doi = {10.1016/S2215-0366(22)00403-5},
journal = {The Lancet Psychiatry},
pages = {98--107},
title = {Effect of polygenic risk for schizophrenia on cardiac structure and function: a UK Biobank observational study},
url = {http://dx.doi.org/10.1016/S2215-0366(22)00403-5},
volume = {10},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - BACKGROUND: Cardiovascular disease is a major cause of excess mortality in people with schizophrenia. Several factors are responsible, including lifestyle and metabolic effects of antipsychotics. However, variations in cardiac structure and function are seen in people with schizophrenia in the absence of cardiovascular disease risk factors and after accounting for lifestyle and medication. Therefore, we aimed to explore whether shared genetic causes contribute to these cardiac variations. METHODS: For this observational study, we used data from the UK Biobank and included White British or Irish individuals without diagnosed schizophrenia with variable polygenic risk scores for the condition. To test the association between polygenic risk score for schizophrenia and cardiac phenotype, we used principal component analysis and regression. Robust regression was then used to explore the association between the polygenic risk score for schizophrenia and individual cardiac phenotypes. We repeated analyses with fibro-inflammatory pathway-specific polygenic risk scores for schizophrenia. Last, we investigated genome-wide sharing of common variants between schizophrenia and cardiac phenotypes using linkage disequilibrium score regression. The primary outcome was principal component regression. FINDINGS: Of 33 353 individuals recruited, 32 279 participants had complete cardiac MRI data and were included in the analysis, of whom 16 625 (51·5%) were female and 15 654 (48·5%) were male. 1074 participants were excluded on the basis of incomplete cardiac MRI data (for all phenotypes). A model regressing polygenic risk scores for schizophrenia onto the first five cardiac principal components of the principal components analysis was significant (F=5·09; p=0·00012). Principal component 1 captured a pattern of increased cardiac volumes, increased absolute peak diastolic strain rates, and reduced ejection fractions; polygenic risk
AU  - Pillinger,T
AU  - Osimo,EF
AU  - de,Marvao A
AU  - Shah,M
AU  - Francis,C
AU  - Huang,J
AU  - D'Ambrosio,E
AU  - Firth,J
AU  - Nour,MM
AU  - McCutcheon,RA
AU  - Pardiñas,AF
AU  - Matthews,PM
AU  - O'Regan,DP
AU  - Howes,OD
DO  - 10.1016/S2215-0366(22)00403-5
EP  - 107
PY  - 2023///
SN  - 2215-0366
SP  - 98
TI  - Effect of polygenic risk for schizophrenia on cardiac structure and function: a UK Biobank observational study
T2  - The Lancet Psychiatry
UR  - http://dx.doi.org/10.1016/S2215-0366(22)00403-5
UR  - https://www.ncbi.nlm.nih.gov/pubmed/36632818
UR  - http://hdl.handle.net/10044/1/101899
VL  - 10
ER  -
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