Imperial College London
Alternate

DrKostasTsilidis

Faculty of Medicine, School of Public Health

Reader in Cancer Epidemiology and Prevention
 
 
 
//

Contact

 

+44 (0)20 7594 2623k.tsilidis

 
 
//

Location

 

School of Public HealthWhite City Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Ioannidou:2022:10.1371/journal.pmed.1003859,
author = {Ioannidou, A and Watts, EL and Perez-Cornago, A and Platz, EA and Mills, IG and Key, TJ and Travis, RC and PRACTICAL, consortium and CRUK and BPC3 and CAPS and PEGASUS and Tsilidis, KK and Zuber, V},
doi = {10.1371/journal.pmed.1003859},
journal = {PLoS Medicine},
title = {The relationship between lipoprotein A and other lipids with prostate cancer risk: A multivariable Mendelian randomisation study},
url = {http://dx.doi.org/10.1371/journal.pmed.1003859},
volume = {19},
year = {2022}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - BACKGROUND: Numerous epidemiological studies have investigated the role of blood lipids in prostate cancer (PCa) risk, though findings remain inconclusive to date. The ongoing research has mainly involved observational studies, which are often prone to confounding. This study aimed to identify the relationship between genetically predicted blood lipid concentrations and PCa. METHODS AND FINDINGS: Data for low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, triglycerides (TG), apolipoprotein A (apoA) and B (apoB), lipoprotein A (Lp(a)), and PCa were acquired from genome-wide association studies in UK Biobank and the PRACTICAL consortium, respectively. We used a two-sample summary-level Mendelian randomisation (MR) approach with both univariable and multivariable (MVMR) models and utilised a variety of robust methods and sensitivity analyses to assess the possibility of MR assumptions violation. No association was observed between genetically predicted concentrations of HDL, TG, apoA and apoB, and PCa risk. Genetically predicted LDL concentration was positively associated with total PCa in the univariable analysis, but adjustment for HDL, TG, and Lp(a) led to a null association. Genetically predicted concentration of Lp(a) was associated with higher total PCa risk in the univariable (ORweighted median per standard deviation (SD) = 1.091; 95% CI 1.028 to 1.157; P = 0.004) and MVMR analyses after adjustment for the other lipid traits (ORIVW per SD = 1.068; 95% CI 1.005 to 1.134; P = 0.034). Genetically predicted Lp(a) was also associated with advanced (MVMR ORIVW per SD = 1.078; 95% CI 0.999 to 1.163; P = 0.055) and early age onset PCa (MVMR ORIVW per SD = 1.150; 95% CI 1.015,1.303; P = 0.028). Although multiple estimation methods were utilised to minimise the effect of pleiotropy, the presence of any unmeasured pleiotropy cannot be excluded and may limit our findings. CONCLUSIONS: We observed that genetically predicted Lp(a) concentra
AU  - Ioannidou,A
AU  - Watts,EL
AU  - Perez-Cornago,A
AU  - Platz,EA
AU  - Mills,IG
AU  - Key,TJ
AU  - Travis,RC
AU  - PRACTICAL,consortium
AU  - CRUK
AU  - BPC3
AU  - CAPS
AU  - PEGASUS
AU  - Tsilidis,KK
AU  - Zuber,V
DO  - 10.1371/journal.pmed.1003859
PY  - 2022///
SN  - 1549-1277
TI  - The relationship between lipoprotein A and other lipids with prostate cancer risk: A multivariable Mendelian randomisation study
T2  - PLoS Medicine
UR  - http://dx.doi.org/10.1371/journal.pmed.1003859
UR  - https://www.ncbi.nlm.nih.gov/pubmed/35085228
UR  - http://hdl.handle.net/10044/1/94434
VL  - 19
ER  -
Download