Literature DB >> 23536561

Common genetic polymorphisms modify the effect of smoking on absolute risk of bladder cancer.

Montserrat Garcia-Closas1, Nathaniel Rothman, Jonine D Figueroa, Ludmila Prokunina-Olsson, Summer S Han, Dalsu Baris, Eric J Jacobs, Nuria Malats, Immaculata De Vivo, Demetrius Albanes, Mark P Purdue, Sapna Sharma, Yi-Ping Fu, Manolis Kogevinas, Zhaoming Wang, Wei Tang, Adonina Tardón, Consol Serra, Alfredo Carrato, Reina García-Closas, Josep Lloreta, Alison Johnson, Molly Schwenn, Margaret R Karagas, Alan Schned, Gerald Andriole, Robert Grubb, Amanda Black, Susan M Gapstur, Michael Thun, William Ryan Diver, Stephanie J Weinstein, Jarmo Virtamo, David J Hunter, Neil Caporaso, Maria Teresa Landi, Amy Hutchinson, Laurie Burdett, Kevin B Jacobs, Meredith Yeager, Joseph F Fraumeni, Stephen J Chanock, Debra T Silverman, Nilanjan Chatterjee.   

Abstract

Bladder cancer results from the combined effects of environmental and genetic factors, smoking being the strongest risk factor. Evaluating absolute risks resulting from the joint effects of smoking and genetic factors is critical to assess the public health relevance of genetic information. Analyses included up to 3,942 cases and 5,680 controls of European background in seven studies. We tested for multiplicative and additive interactions between smoking and 12 susceptibility loci, individually and combined as a polygenic risk score (PRS). Thirty-year absolute risks and risk differences by levels of the PRS were estimated for U.S. males aged 50 years. Six of 12 variants showed significant additive gene-environment interactions, most notably NAT2 (P = 7 × 10(-4)) and UGT1A6 (P = 8 × 10(-4)). The 30-year absolute risk of bladder cancer in U.S. males was 6.2% for all current smokers. This risk ranged from 2.9% for current smokers in the lowest quartile of the PRS to 9.9% for current smokers in the upper quartile. Risk difference estimates indicated that 8,200 cases would be prevented if elimination of smoking occurred in 100,000 men in the upper PRS quartile compared with 2,000 cases prevented by a similar effort in the lowest PRS quartile (P(additive) = 1 × 10(-4)). Thus, the potential impact of eliminating smoking on the number of bladder cancer cases prevented is larger for individuals at higher than lower genetic risk. Our findings could have implications for targeted prevention strategies. However, other smoking-related diseases, as well as practical and ethical considerations, need to be considered before any recommendations could be made. ©2012 AACR.

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Year:  2013        PMID: 23536561      PMCID: PMC3688270          DOI: 10.1158/0008-5472.CAN-12-2388

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  30 in total

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4.  A case-control study of smoking and bladder cancer risk: emergent patterns over time.

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5.  Likelihood ratio test for detecting gene (G)-environment (E) interactions under an additive risk model exploiting G-E independence for case-control data.

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6.  Risk factor modification and projections of absolute breast cancer risk.

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7.  Association between smoking and risk of bladder cancer among men and women.

Authors:  Neal D Freedman; Debra T Silverman; Albert R Hollenbeck; Arthur Schatzkin; Christian C Abnet
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8.  Multiple independent loci at chromosome 15q25.1 affect smoking quantity: a meta-analysis and comparison with lung cancer and COPD.

Authors:  Nancy L Saccone; Robert C Culverhouse; Tae-Hwi Schwantes-An; Dale S Cannon; Xiangning Chen; Sven Cichon; Ina Giegling; Shizhong Han; Younghun Han; Kaisu Keskitalo-Vuokko; Xiangyang Kong; Maria Teresa Landi; Jennie Z Ma; Susan E Short; Sarah H Stephens; Victoria L Stevens; Lingwei Sun; Yufei Wang; Angela S Wenzlaff; Steven H Aggen; Naomi Breslau; Peter Broderick; Nilanjan Chatterjee; Jingchun Chen; Andrew C Heath; Markku Heliövaara; Nicole R Hoft; David J Hunter; Majken K Jensen; Nicholas G Martin; Grant W Montgomery; Tianhua Niu; Thomas J Payne; Leena Peltonen; Michele L Pergadia; John P Rice; Richard Sherva; Margaret R Spitz; Juzhong Sun; Jen C Wang; Robert B Weiss; William Wheeler; Stephanie H Witt; Bao-Zhu Yang; Neil E Caporaso; Marissa A Ehringer; Tim Eisen; Susan M Gapstur; Joel Gelernter; Richard Houlston; Jaakko Kaprio; Kenneth S Kendler; Peter Kraft; Mark F Leppert; Ming D Li; Pamela A F Madden; Markus M Nöthen; Sreekumar Pillai; Marcella Rietschel; Dan Rujescu; Ann Schwartz; Christopher I Amos; Laura J Bierut
Journal:  PLoS Genet       Date:  2010-08-05       Impact factor: 5.917

Review 9.  N-acetyltransferase 2 genetic polymorphism: effects of carcinogen and haplotype on urinary bladder cancer risk.

Authors:  D W Hein
Journal:  Oncogene       Date:  2006-03-13       Impact factor: 9.867

10.  A multi-stage genome-wide association study of bladder cancer identifies multiple susceptibility loci.

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Journal:  Nat Genet       Date:  2010-10-24       Impact factor: 38.330

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  55 in total

1.  Tests for Gene-Environment Interactions and Joint Effects With Exposure Misclassification.

Authors:  Philip S Boonstra; Bhramar Mukherjee; Stephen B Gruber; Jaeil Ahn; Stephanie L Schmit; Nilanjan Chatterjee
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2.  Response.

Authors:  Jonine D Figueroa; Ludmila Prokunina-Olsson; Stella Koutros; Montserrat Garcia-Closas; Stephen Chanock; Debra T Silverman; Nathaniel Rothman
Journal:  J Natl Cancer Inst       Date:  2016-02-07       Impact factor: 13.506

3.  From genomics to imaging-advances along the care continuum.

Authors:  Ahmed Haddad; Yair Lotan
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4.  Polygenic approaches to detect gene-environment interactions when external information is unavailable.

Authors:  Wan-Yu Lin; Ching-Chieh Huang; Yu-Li Liu; Shih-Jen Tsai; Po-Hsiu Kuo
Journal:  Brief Bioinform       Date:  2019-11-27       Impact factor: 11.622

5.  Combined associations of genetic and environmental risk factors: implications for prevention of breast cancer.

Authors:  Montserrat Garcia-Closas; Necdet Burak Gunsoy; Nilanjan Chatterjee
Journal:  J Natl Cancer Inst       Date:  2014-11-12       Impact factor: 13.506

Review 6.  Precisely Where Are We Going? Charting the New Terrain of Precision Prevention.

Authors:  Karen M Meagher; Michelle L McGowan; Richard A Settersten; Jennifer R Fishman; Eric T Juengst
Journal:  Annu Rev Genomics Hum Genet       Date:  2017-04-24       Impact factor: 8.929

7.  Additive interactions between susceptibility single-nucleotide polymorphisms identified in genome-wide association studies and breast cancer risk factors in the Breast and Prostate Cancer Cohort Consortium.

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8.  Functional logistic regression approach to detecting gene by longitudinal environmental exposure interaction in a case-control study.

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Review 9.  Genetic epidemiology and insights into interactive genetic and environmental effects in autism spectrum disorders.

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10.  Clearing the Air: Summarizing the Smoking-related Relative Risks of Bladder and Kidney Cancer.

Authors:  Mark P Purdue; Debra T Silverman
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