Back to Search Start Over

The influence of obesity-related factors in the etiology of renal cell carcinoma-A mendelian randomization study.

Authors :
Johansson M
Carreras-Torres R
Scelo G
Purdue MP
Mariosa D
Muller DC
Timpson NJ
Haycock PC
Brown KM
Wang Z
Ye Y
Hofmann JN
Foll M
Gaborieau V
Machiela MJ
Colli LM
Li P
Garnier JG
Blanche H
Boland A
Burdette L
Prokhortchouk E
Skryabin KG
Yeager M
Radojevic-Skodric S
Ognjanovic S
Foretova L
Holcatova I
Janout V
Mates D
Mukeriya A
Rascu S
Zaridze D
Bencko V
Cybulski C
Fabianova E
Jinga V
Lissowska J
Lubinski J
Navratilova M
Rudnai P
Benhamou S
Cancel-Tassin G
Cussenot O
Weiderpass E
Ljungberg B
Tumkur Sitaram R
Häggström C
Bruinsma F
Jordan SJ
Severi G
Winship I
Hveem K
Vatten LJ
Fletcher T
Larsson SC
Wolk A
Banks RE
Selby PJ
Easton DF
Andreotti G
Beane Freeman LE
Koutros S
Männistö S
Weinstein S
Clark PE
Edwards TL
Lipworth L
Gapstur SM
Stevens VL
Carol H
Freedman ML
Pomerantz MM
Cho E
Wilson KM
Gaziano JM
Sesso HD
Freedman ND
Parker AS
Eckel-Passow JE
Huang WY
Kahnoski RJ
Lane BR
Noyes SL
Petillo D
Teh BT
Peters U
White E
Anderson GL
Johnson L
Luo J
Buring J
Lee IM
Chow WH
Moore LE
Eisen T
Henrion M
Larkin J
Barman P
Leibovich BC
Choueiri TK
Lathrop GM
Deleuze JF
Gunter M
McKay JD
Wu X
Houlston RS
Chanock SJ
Relton C
Richards JB
Martin RM
Davey Smith G
Brennan P
Source :
PLoS medicine [PLoS Med] 2019 Jan 03; Vol. 16 (1), pp. e1002724. Date of Electronic Publication: 2019 Jan 03 (Print Publication: 2019).
Publication Year :
2019

Abstract

Background: Several obesity-related factors have been associated with renal cell carcinoma (RCC), but it is unclear which individual factors directly influence risk. We addressed this question using genetic markers as proxies for putative risk factors and evaluated their relation to RCC risk in a mendelian randomization (MR) framework. This methodology limits bias due to confounding and is not affected by reverse causation.<br />Methods and Findings: Genetic markers associated with obesity measures, blood pressure, lipids, type 2 diabetes, insulin, and glucose were initially identified as instrumental variables, and their association with RCC risk was subsequently evaluated in a genome-wide association study (GWAS) of 10,784 RCC patients and 20,406 control participants in a 2-sample MR framework. The effect on RCC risk was estimated by calculating odds ratios (ORSD) for a standard deviation (SD) increment in each risk factor. The MR analysis indicated that higher body mass index increases the risk of RCC (ORSD: 1.56, 95% confidence interval [CI] 1.44-1.70), with comparable results for waist-to-hip ratio (ORSD: 1.63, 95% CI 1.40-1.90) and body fat percentage (ORSD: 1.66, 95% CI 1.44-1.90). This analysis further indicated that higher fasting insulin (ORSD: 1.82, 95% CI 1.30-2.55) and diastolic blood pressure (DBP; ORSD: 1.28, 95% CI 1.11-1.47), but not systolic blood pressure (ORSD: 0.98, 95% CI 0.84-1.14), increase the risk for RCC. No association with RCC risk was seen for lipids, overall type 2 diabetes, or fasting glucose.<br />Conclusions: This study provides novel evidence for an etiological role of insulin in RCC, as well as confirmatory evidence that obesity and DBP influence RCC risk.<br />Competing Interests: I have read the journal's policy and the authors of this manuscript have the following competing interests: TE declared employment, research support, and stock in AstraZeneca and research support from Bayer and Pfizer. PCH is a population health fellow of Cancer Research UK. GDS is a member of the Editorial Board of PLOS Medicine.

Details

Language :
English
ISSN :
1549-1676
Volume :
16
Issue :
1
Database :
MEDLINE
Journal :
PLoS medicine
Publication Type :
Academic Journal
Accession number :
30605491
Full Text :
https://doi.org/10.1371/journal.pmed.1002724