Back to Search Start Over

Blood lipids and prostate cancer: a Mendelian randomization analysis

Authors :
Bull, Caroline J
Bonilla, Carolina
Holly, Jeff MP
Perks, Claire M
Davies, Neil
Haycock, Philip
Yu, Oriana Hoi Yun
Richards, J Brent
Eeles, Rosalind
Easton, Doug
Kote-Jarai, Zsofia
Amin Al Olama, Ali
Benlloch, Sara
Muir, Kenneth
Giles, Graham G
MacInnis, Robert J
Wiklund, Fredrik
Gronberg, Henrik
Haiman, Christopher A
Schleutker, Johanna
Nordestgaard, Børge G
Travis, Ruth C
Neal, David
Pashayan, Nora
Khaw, Kay-Tee
Stanford, Janet L
Blot, William J
Thibodeau, Stephen
Maier, Christiane
Kibel, Adam S
Cybulski, Cezary
Cannon-Albright, Lisa
Brenner, Hermann
Park, Jong
Kaneva, Radka
Batra, Jyotsna
Teixeira, Manuel R
Micheal, Agnieszka
Pandha, Hardev
Smith, George Davey
Lewis, Sarah J
Martin, Richard M
PRACTICAL Consortium
Easton, Douglas [0000-0003-2444-3247]
Amin Al Olama, Ali [0000-0002-7178-3431]
Khaw, Kay-Tee [0000-0002-8802-2903]
Apollo - University of Cambridge Repository
Publication Year :
2016
Publisher :
Wiley, 2016.

Abstract

Genetic risk scores were used as unconfounded instruments for specific lipid traits (Mendelian randomization) to assess whether circulating lipids causally influence prostate cancer risk. Data from 22,249 prostate cancer cases and 22,133 controls from 22 studies within the international PRACTICAL consortium were analyzed. Allele scores based on single nucleotide polymorphisms (SNPs) previously reported to be uniquely associated with each of low-density lipoprotein (LDL), high-density lipoprotein (HDL), and triglyceride (TG) levels, were first validated in an independent dataset, and then entered into logistic regression models to estimate the presence (and direction) of any causal effect of each lipid trait on prostate cancer risk. There was weak evidence for an association between the LDL genetic score and cancer grade: the odds ratio (OR) per genetically instrumented standard deviation (SD) in LDL, comparing high- (≥7 Gleason score) versus low-grade (

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....3ddb2488d3c6e6c29111dbd83033ddbf
Full Text :
https://doi.org/10.17863/cam.930