Literature DB >> 27034637

Interaction of genetic variants towards increased cancer risk.

Seddik Hammad1.   

Abstract

Entities:  

Year:  2013        PMID: 27034637      PMCID: PMC4803003     

Source DB:  PubMed          Journal:  EXCLI J        ISSN: 1611-2156            Impact factor:   4.068


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More than 300 associations between genetic variants and common diseases have been identified in recent years (Hindorff et al., 2009[7]; Golka et al., 2009[5], 2011[6], 2012[4]; Kiemeney et al., 2010[8]; Binder et al., 2012[1]). For cancer, most variants, also called single nucleotide polymorphism (SNP), confer only a moderate risk with odds ratios less than 1.5 (Lichtenstein et al., 2000[10]; Selinski et al., 2012[15][16], 2011[14]; Lehmann et al., 2010[9]; Ovsiannikov et al., 2012[11]; Rafnar et al., 2011[12]). Until recently, it was unknown whether interaction among the high-risk alleles of several genetic variants would lead to an increased cancer risk (Bolt, 2013[2][3]; Stewart and Marchan, 2012[17]). This was addressed in a recent study by Holger Schwender and colleagues who investigated the interaction among SNPs known to be associated with bladder cancer and risk. Their results clearly show increased overall risk, causing much excitement in the field (Schwender et al., 2012[13]). In their work, the group from Dortmund, Germany, showed that for single SNPs, for example rs1014971 and rs9642680, the odds ratio are 1.63 and 1.48, respectively. However, combining both SNPs resulted in an increased odds ratio of 1.91 (Schwender et al., 2012[13]) - a ratio larger than the individual effects but smaller than additive (1.63 + 1.48 = 3.11). Including a third SNP also increased the odds ratio, but only by a further 0.07 (Schwender et al., 2012[13]). Using an elegant statistical approach and testing stability by bootstrapping, the authors demonstrate that stable combinations of up to three high-risk alleles result in odds ratios of up to 2.0 in non-smokers. This is clearly higher than the influence of individual high-risk alleles, but also less than the additive risk. Although the study of Schwender (Schwender et al., 2012[13]) represents remarkable progress, one important question remains open. What would happen if more high-risk variants were added to the three-way interactions? Would there be a relevant further increase in the cancer risk? Or, would odds ratios asymptotically approach a 'natural' upper limit of 2.0 or slightly above? Schwender and colleagues could not answer this question due to the limited case numbers (1,593 urinary bladder cases and 1,760 controls). Therefore, four-way or even higher interactions could not be evaluated because the combination results were no longer stable after bootstrapping. In conclusion, there is a definite need to bring together all data on genetic variants that is available world-wide. The increased statistical power will facilitate studies of interactions, and advance our understanding on how genetic variants interact to cause increased cancer risk.
  16 in total

1.  Rs11892031[A] on chromosome 2q37 in an intronic region of the UGT1A locus is associated with urinary bladder cancer risk.

Authors:  Silvia Selinski; Marie-Louise Lehmann; Meinolf Blaszkewicz; Daniel Ovsiannikov; Oliver Moormann; Christoph Guballa; Alexander Kress; Michael C Truss; Holger Gerullis; Thomas Otto; Dimitri Barski; Günter Niegisch; Peter Albers; Sebastian Frees; Walburgis Brenner; Joachim W Thüroff; Miriam Angeli-Greaves; Thilo Seidel; Gerhard Roth; Frank Volkert; Rainer Ebbinghaus; Hans M Prager; Hermann M Bolt; Michael Falkenstein; Anna Zimmermann; Torsten Klein; Thomas Reckwitz; Hermann C Roemer; Mark Hartel; Wobbeke Weistenhöfer; Wolfgang Schöps; S Adibul Hassan Rizvi; Muhammad Aslam; Gergely Bánfi; Imre Romics; Katja Ickstadt; Jan G Hengstler; Klaus Golka
Journal:  Arch Toxicol       Date:  2012-04-25       Impact factor: 5.153

2.  Genotyping NAT2 with only two SNPs (rs1041983 and rs1801280) outperforms the tagging SNP rs1495741 and is equivalent to the conventional 7-SNP NAT2 genotype.

Authors:  Silvia Selinski; Meinolf Blaszkewicz; Marie-Louise Lehmann; Daniel Ovsiannikov; Oliver Moormann; Christoph Guballa; Alexander Kress; Michael C Truss; Holger Gerullis; Thomas Otto; Dimitri Barski; Günter Niegisch; Peter Albers; Sebastian Frees; Walburgis Brenner; Joachim W Thüroff; Miriam Angeli-Greaves; Thilo Seidel; Gerhard Roth; Holger Dietrich; Rainer Ebbinghaus; Hans M Prager; Hermann M Bolt; Michael Falkenstein; Anna Zimmermann; Torsten Klein; Thomas Reckwitz; Hermann C Roemer; Dietrich Löhlein; Wobbeke Weistenhöfer; Wolfgang Schöps; Syed Adibul Hassan Rizvi; Muhammad Aslam; Gergely Bánfi; Imre Romics; Michael Steffens; Arif B Ekici; Andreas Winterpacht; Katja Ickstadt; Holger Schwender; Jan G Hengstler; Klaus Golka
Journal:  Pharmacogenet Genomics       Date:  2011-10       Impact factor: 2.089

3.  Potential etiologic and functional implications of genome-wide association loci for human diseases and traits.

Authors:  Lucia A Hindorff; Praveen Sethupathy; Heather A Junkins; Erin M Ramos; Jayashri P Mehta; Francis S Collins; Teri A Manolio
Journal:  Proc Natl Acad Sci U S A       Date:  2009-05-27       Impact factor: 11.205

Review 4.  Cluster-localized sparse logistic regression for SNP data.

Authors:  Harald Binder; Tina Müller; Holger Schwender; Klaus Golka; Michael Steffens; Jan G Hengstler; Katja Ickstadt; Martin Schumacher
Journal:  Stat Appl Genet Mol Biol       Date:  2012-08-14

5.  Human bladder cancer risk calculation based on genome-wide analysis of genetic variants.

Authors:  H M Bolt
Journal:  Arch Toxicol       Date:  2013-03       Impact factor: 5.153

6.  Polymorphic enzymes, urinary bladder cancer risk, and structural change in the local industry.

Authors:  Daniel Ovsiannikov; Silvia Selinski; Marie-Louise Lehmann; Meinolf Blaszkewicz; Oliver Moormann; Matthias W Haenel; Jan G Hengstler; Klaus Golka
Journal:  J Toxicol Environ Health A       Date:  2012

7.  Environmental and heritable factors in the causation of cancer--analyses of cohorts of twins from Sweden, Denmark, and Finland.

Authors:  P Lichtenstein; N V Holm; P K Verkasalo; A Iliadou; J Kaprio; M Koskenvuo; E Pukkala; A Skytthe; K Hemminki
Journal:  N Engl J Med       Date:  2000-07-13       Impact factor: 91.245

Review 8.  Genetic variants in urinary bladder cancer: collective power of the "wimp SNPs".

Authors:  Klaus Golka; Silvia Selinski; Marie-Louise Lehmann; Meinolf Blaszkewicz; Rosemarie Marchan; Katja Ickstadt; Holger Schwender; Hermann M Bolt; Jan G Hengstler
Journal:  Arch Toxicol       Date:  2011-03-05       Impact factor: 5.153

9.  Susceptibility to urinary bladder cancer: relevance of rs9642880[T], GSTM1 0/0 and occupational exposure.

Authors:  Klaus Golka; Matthias Hermes; Silvia Selinski; Meinolf Blaszkewicz; Hermann M Bolt; Gerhard Roth; Holger Dietrich; Hans-Martin Prager; Katja Ickstadt; Jan G Hengstler
Journal:  Pharmacogenet Genomics       Date:  2009-11       Impact factor: 2.089

10.  Distinct SNP combinations confer susceptibility to urinary bladder cancer in smokers and non-smokers.

Authors:  Holger Schwender; Silvia Selinski; Meinolf Blaszkewicz; Rosemarie Marchan; Katja Ickstadt; Klaus Golka; Jan G Hengstler
Journal:  PLoS One       Date:  2012-12-20       Impact factor: 3.240

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  1 in total

1.  Highlight report: Predicting late metastasis in breast cancer.

Authors:  Seddik Hammad; Gada S Osman; Mohamed Ezzeldien; Hassan Ahmed; Ahmed M Kotb
Journal:  EXCLI J       Date:  2016-12-23       Impact factor: 4.068

  1 in total

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