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Adult body mass index and risk of ovarian cancer by subtype: a Mendelian randomization study.

Authors :
Dixon SC
Nagle CM
Thrift AP
Pharoah PD
Pearce CL
Zheng W
Painter JN
Chenevix-Trench G
Fasching PA
Beckmann MW
Lambrechts D
Vergote I
Lambrechts S
Van Nieuwenhuysen E
Rossing MA
Doherty JA
Wicklund KG
Chang-Claude J
Rudolph A
Moysich KB
Odunsi K
Goodman MT
Wilkens LR
Thompson PJ
Shvetsov YB
Dörk T
Park-Simon TW
Hillemanns P
Bogdanova N
Butzow R
Nevanlinna H
Pelttari LM
Leminen A
Modugno F
Ness RB
Edwards RP
Kelley JL
Heitz F
Karlan BY
Kjær SK
Høgdall E
Jensen A
Goode EL
Fridley BL
Cunningham JM
Winham SJ
Giles GG
Bruinsma F
Milne RL
Southey MC
Hildebrandt MA
Wu X
Lu KH
Liang D
Levine DA
Bisogna M
Schildkraut JM
Berchuck A
Cramer DW
Terry KL
Bandera EV
Olson SH
Salvesen HB
Thomsen LC
Kopperud RK
Bjorge L
Kiemeney LA
Massuger LF
Pejovic T
Cook LS
Le ND
Swenerton KD
Brooks-Wilson A
Kelemen LE
Lubiński J
Huzarski T
Gronwald J
Menkiszak J
Wentzensen N
Brinton L
Yang H
Lissowska J
Høgdall CK
Lundvall L
Song H
Tyrer JP
Campbell I
Eccles D
Paul J
Glasspool R
Siddiqui N
Whittemore AS
Sieh W
McGuire V
Rothstein JH
Narod SA
Phelan C
Risch HA
McLaughlin JR
Anton-Culver H
Ziogas A
Menon U
Gayther SA
Ramus SJ
Gentry-Maharaj A
Wu AH
Pike MC
Tseng CC
Kupryjanczyk J
Dansonka-Mieszkowska A
Budzilowska A
Spiewankiewicz B
Webb PM
Source :
International journal of epidemiology [Int J Epidemiol] 2016 Jun; Vol. 45 (3), pp. 884-95. Date of Electronic Publication: 2016 Jul 10.
Publication Year :
2016

Abstract

Background: Observational studies have reported a positive association between body mass index (BMI) and ovarian cancer risk. However, questions remain as to whether this represents a causal effect, or holds for all histological subtypes. The lack of association observed for serous cancers may, for instance, be due to disease-associated weight loss. Mendelian randomization (MR) uses genetic markers as proxies for risk factors to overcome limitations of observational studies. We used MR to elucidate the relationship between BMI and ovarian cancer, hypothesizing that genetically predicted BMI would be associated with increased risk of non-high grade serous ovarian cancers (non-HGSC) but not HGSC.<br />Methods: We pooled data from 39 studies (14 047 cases, 23 003 controls) in the Ovarian Cancer Association Consortium. We constructed a weighted genetic risk score (GRS, partial F-statistic = 172), summing alleles at 87 single nucleotide polymorphisms previously associated with BMI, weighting by their published strength of association with BMI. Applying two-stage predictor-substitution MR, we used logistic regression to estimate study-specific odds ratios (OR) and 95% confidence intervals (CI) for the association between genetically predicted BMI and risk, and pooled these using random-effects meta-analysis.<br />Results: Higher genetically predicted BMI was associated with increased risk of non-HGSC (pooled OR = 1.29, 95% CI 1.03-1.61 per 5 units BMI) but not HGSC (pooled OR = 1.06, 95% CI 0.88-1.27). Secondary analyses stratified by behaviour/subtype suggested that, consistent with observational data, the association was strongest for low-grade/borderline serous cancers (OR = 1.93, 95% CI 1.33-2.81).<br />Conclusions: Our data suggest that higher BMI increases risk of non-HGSC, but not the more common and aggressive HGSC subtype, confirming the observational evidence.<br /> (© The Author 2016; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association.)

Details

Language :
English
ISSN :
1464-3685
Volume :
45
Issue :
3
Database :
MEDLINE
Journal :
International journal of epidemiology
Publication Type :
Academic Journal
Accession number :
27401727
Full Text :
https://doi.org/10.1093/ije/dyw158