Literature DB >> 15990124

Relationships between familial risks of cancer and the effects of heritable genes and their SNP variants.

Kari Hemminki1, Justo Lorenzo Bermejo.   

Abstract

Familial risks for cancer can be used in many ways in guiding gene identification efforts and, more broadly, in understanding cancer etiology. Gene identification efforts may be properly designed and targeted if the familial risks are well characterized and the mode of inheritance is identified. Single nucleotide polymorphisms (SNPs) are extensively used in case-control studies of practically all cancer types. They are used for the identification of inherited cancer susceptibility genes and those that may interact with environmental factors. However, being genetic markers, they are applicable only on heritable conditions, which is often a neglected fact. Based on the data in the nationwide Swedish Family-Cancer Database, we review familial risks for all main cancers and discuss the evidence for a heritable component in cancer. The available evidence, including differences in cancer incidence between regions and temporal changes within regions, indicates that cancer is mainly an environmental disease, with a minor heritable etiology. The large environmental component will hamper the success of SNP-based genetic association studies. Empirical familial risks should be used to evaluate the feasibility of such studies. We develop figures for the assessment of genetic parameters based on familial risks. Such data are helpful in the estimation of the expected genetic effects in cancer. Overall, we consider the likelihood of a successful application of SNPs in gene-environment studies small, unless established environmental risk factors are tested on proven candidate genes.

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Year:  2005        PMID: 15990124     DOI: 10.1016/j.mrfmmm.2005.05.008

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  6 in total

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Authors:  Min Liu; Min Su; Dong-Ping Tian; Guo-Hong Zhang; He-Lin Yang; Yu-Xia Gao
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2.  Steroid 5-alpha-reductase type 2 (SRD5A2) V89L and A49T polymorphisms and sporadic prostate cancer risk: a meta-analysis.

Authors:  Qiaoxin Li; Yao Zhu; Jing He; Mengyun Wang; Meiling Zhu; Tingyan Shi; Lixin Qiu; Dingwei Ye; Qingyi Wei
Journal:  Mol Biol Rep       Date:  2013-01-01       Impact factor: 2.316

3.  The heritability of G2 chromosomal radiosensitivity and its association with cancer in Danish cancer survivors and their offspring.

Authors:  Gillian B Curwen; Kevin K Cadwell; Jeanette F Winther; E Janet Tawn; Gwen S Rees; Jørgen H Olsen; Catherine Rechnitzer; Henrik Schroeder; Per Guldberg; Heather J Cordell; John D Boice
Journal:  Int J Radiat Biol       Date:  2010-09-01       Impact factor: 2.694

4.  Genetic pathways to colorectal cancer.

Authors:  Isabel A Lea; Marcus A Jackson; June K Dunnick
Journal:  Mutat Res       Date:  2009-07-01       Impact factor: 2.433

5.  Large-scale association analysis identifies new lung cancer susceptibility loci and heterogeneity in genetic susceptibility across histological subtypes.

Authors:  James D McKay; Rayjean J Hung; Younghun Han; Xuchen Zong; Robert Carreras-Torres; David C Christiani; Neil E Caporaso; Mattias Johansson; Xiangjun Xiao; Yafang Li; Jinyoung Byun; Alison Dunning; Karen A Pooley; David C Qian; Xuemei Ji; Geoffrey Liu; Maria N Timofeeva; Stig E Bojesen; Xifeng Wu; Loic Le Marchand; Demetrios Albanes; Heike Bickeböller; Melinda C Aldrich; William S Bush; Adonina Tardon; Gad Rennert; M Dawn Teare; John K Field; Lambertus A Kiemeney; Philip Lazarus; Aage Haugen; Stephen Lam; Matthew B Schabath; Angeline S Andrew; Hongbing Shen; Yun-Chul Hong; Jian-Min Yuan; Pier Alberto Bertazzi; Angela C Pesatori; Yuanqing Ye; Nancy Diao; Li Su; Ruyang Zhang; Yonathan Brhane; Natasha Leighl; Jakob S Johansen; Anders Mellemgaard; Walid Saliba; Christopher A Haiman; Lynne R Wilkens; Ana Fernandez-Somoano; Guillermo Fernandez-Tardon; Henricus F M van der Heijden; Jin Hee Kim; Juncheng Dai; Zhibin Hu; Michael P A Davies; Michael W Marcus; Hans Brunnström; Jonas Manjer; Olle Melander; David C Muller; Kim Overvad; Antonia Trichopoulou; Rosario Tumino; Jennifer A Doherty; Matt P Barnett; Chu Chen; Gary E Goodman; Angela Cox; Fiona Taylor; Penella Woll; Irene Brüske; H-Erich Wichmann; Judith Manz; Thomas R Muley; Angela Risch; Albert Rosenberger; Kjell Grankvist; Mikael Johansson; Frances A Shepherd; Ming-Sound Tsao; Susanne M Arnold; Eric B Haura; Ciprian Bolca; Ivana Holcatova; Vladimir Janout; Milica Kontic; Jolanta Lissowska; Anush Mukeria; Simona Ognjanovic; Tadeusz M Orlowski; Ghislaine Scelo; Beata Swiatkowska; David Zaridze; Per Bakke; Vidar Skaug; Shanbeh Zienolddiny; Eric J Duell; Lesley M Butler; Woon-Puay Koh; Yu-Tang Gao; Richard S Houlston; John McLaughlin; Victoria L Stevens; Philippe Joubert; Maxime Lamontagne; David C Nickle; Ma'en Obeidat; Wim Timens; Bin Zhu; Lei Song; Linda Kachuri; María Soler Artigas; Martin D Tobin; Louise V Wain; Thorunn Rafnar; Thorgeir E Thorgeirsson; Gunnar W Reginsson; Kari Stefansson; Dana B Hancock; Laura J Bierut; Margaret R Spitz; Nathan C Gaddis; Sharon M Lutz; Fangyi Gu; Eric O Johnson; Ahsan Kamal; Claudio Pikielny; Dakai Zhu; Sara Lindströem; Xia Jiang; Rachel F Tyndale; Georgia Chenevix-Trench; Jonathan Beesley; Yohan Bossé; Stephen Chanock; Paul Brennan; Maria Teresa Landi; Christopher I Amos
Journal:  Nat Genet       Date:  2017-06-12       Impact factor: 38.330

6.  Effects of RHD gene polymorphisms on distinguishing weak D or DEL from RhD- in blood donation in a Chinese population.

Authors:  Jie Shi; Ying Luo
Journal:  Mol Genet Genomic Med       Date:  2019-04-05       Impact factor: 2.183

  6 in total

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