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Lipid trait variants and the risk of non-hodgkin lymphoma subtypes: a mendelian randomization study

Authors :
Nicola J. Camp
Eleanor Kane
Sonja I. Berndt
Paige M. Bracci
Geffen Kleinstern
Stephen J. Chanock
Alain Monnereau
Henrik Hjalgrim
Roel Vermeulen
Mark P. Purdue
Neil E. Caporaso
Pierluigi Cocco
Lauren R. Teras
James McKay
James R. Cerhan
Susan L. Slager
Graham G. Giles
Sophia S. Wang
Brenda M. Birmann
Gilles Salles
Claire M. Vajdic
Angela Brooks-Wilson
Christine F. Skibola
Nathaniel Rothman
Yawei Zhang
Yolanda Benavente
Demetrius Albanes
Alexandra Nieters
Qing Lan
Anne Zeleniuch-Jacquotte
Hervé Ghesquières
Joseph Vijai
Karin E. Smedby
Source :
Dipòsit Digital de la UB, Universidad de Barcelona, Cancer Epidemiol Biomarkers Prev, Cancer Epidemiology Biomarkers and Prevention, 29(5), 1. American Association for Cancer Research Inc.
Publication Year :
2020

Abstract

Background: Lipid traits have been inconsistently linked to risk of non-Hodgkin lymphoma (NHL). We examined the association of genetically predicted lipid traits with risk of diffuse large B-cell lymphoma (DLBCL), chronic lymphocytic leukemia (CLL), follicular lymphoma (FL), and marginal zone lymphoma (MZL) using Mendelian randomization (MR) analysis. Methods: Genome-wide association study data from the InterLymph Consortium were available for 2,661 DLBCLs, 2,179 CLLs, 2,142 FLs, 824 MZLs, and 6,221 controls. SNPs associated (P < 5 × 10−8) with high-density lipoprotein (HDL, n = 164), low-density lipoprotein (LDL, n = 137), total cholesterol (TC, n = 161), and triglycerides (TG, n = 123) were used as instrumental variables (IV), explaining 14.6%, 27.7%, 16.8%, and 12.8% of phenotypic variation, respectively. Associations between each lipid trait and NHL subtype were calculated using the MR inverse variance–weighted method, estimating odds ratios (OR) per standard deviation and 95% confidence intervals (CI). Results: HDL was positively associated with DLBCL (OR = 1.14; 95% CI, 1.00–1.30) and MZL (OR = 1.09; 95% CI, 1.01–1.18), while TG was inversely associated with MZL risk (OR = 0.90; 95% CI, 0.83–0.99), all at nominal significance (P < 0.05). A positive trend was observed for HDL with FL risk (OR = 1.08; 95% CI, 0.99–1.19; P = 0.087). No associations were noteworthy after adjusting for multiple testing. Conclusions: We did not find evidence of a clear or strong association of these lipid traits with the most common NHL subtypes. While these IVs have been previously linked to other cancers, our findings do not support any causal associations with these NHL subtypes. Impact: Our results suggest that prior reported inverse associations of lipid traits are not likely to be causal and could represent reverse causality or confounding.

Details

Language :
English
ISSN :
10559965
Volume :
29
Issue :
5
Database :
OpenAIRE
Journal :
Cancer Epidemiology Biomarkers and Prevention
Accession number :
edsair.doi.dedup.....8094ef2680c447a3804a3fda14422b5b