Literature DB >> 11440958

The genetic epidemiology of cancer: interpreting family and twin studies and their implications for molecular genetic approaches.

N Risch1.   

Abstract

The recent completion of a rough draft of the human genome sequence has ushered in a new era of molecular genetics research into the inherited basis of a number of complex diseases such as cancer. At the same time, recent twin studies have suggested a limited role of genetic susceptibility to many neoplasms. A reappraisal of family and twin studies for many cancer sites suggests the following general conclusions: (a) all cancers are familial to approximately the same degree, with only a few exceptions (both high and low); (b) early age of diagnosis is generally associated with increased familiality; (c) familiality does not decrease with decreasing prevalence of the tumor-in fact, the trend is toward increasing familiality with decreasing prevalence; (d) a multifactorial (polygenic) threshold model fits the twin data for most cancers less well than single gene or genetic heterogeneity-type models; (e) recessive inheritance is less likely generally than dominant or additive models; (f) heritability decreases for rarer tumors only in the context of the polygenic model but not in the context of single-locus or heterogeneity models; (g) although the family and twin data do not account for gene-environment interactions or confounding, they are still consistent with genes contributing high attributable risks for most cancer sites. These results support continued search for genetic and environmental factors in cancer susceptibility for all tumor types. Suggestions are given for optimal study designs depending on the underlying architecture of genetic predisposition.

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Year:  2001        PMID: 11440958

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  93 in total

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Journal:  Tob Control       Date:  2002-06       Impact factor: 7.552

2.  The prediction of disease risk in genomic medicine.

Authors:  Wayne D Hall; Katherine I Morley; Jayne C Lucke
Journal:  EMBO Rep       Date:  2004-10       Impact factor: 8.807

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5.  Discriminative accuracy of genomic profiling comparing multiplicative and additive risk models.

Authors:  Ramal Moonesinghe; Muin J Khoury; Tiebin Liu; A Cecile J W Janssens
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6.  Linkage to the FOXC2 region of chromosome 16 for varicose veins in otherwise healthy, unselected sibling pairs.

Authors:  M Y M Ng; T Andrew; T D Spector; S Jeffery
Journal:  J Med Genet       Date:  2005-03       Impact factor: 6.318

Review 7.  Common susceptibility genes for cancer: search for the end of the rainbow.

Authors:  Stuart G Baker; Jaakko Kaprio
Journal:  BMJ       Date:  2006-05-13

8.  The heritability of prostate cancer in the Nordic Twin Study of Cancer.

Authors:  Jacob B Hjelmborg; Thomas Scheike; Klaus Holst; Axel Skytthe; Kathryn L Penney; Rebecca E Graff; Eero Pukkala; Kaare Christensen; Hans-Olov Adami; Niels V Holm; Elizabeth Nuttall; Steinbjorn Hansen; Mikael Hartman; Kamila Czene; Jennifer R Harris; Jaakko Kaprio; Lorelei A Mucci
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-05-08       Impact factor: 4.254

9.  A susceptibility locus for papillary thyroid carcinoma on chromosome 8q24.

Authors:  Huiling He; Rebecca Nagy; Sandya Liyanarachchi; Hong Jiao; Wei Li; Saul Suster; Juha Kere; Albert de la Chapelle
Journal:  Cancer Res       Date:  2009-01-15       Impact factor: 12.701

10.  Genome-wide association studies in cancer--current and future directions.

Authors:  Charles C Chung; Wagner C S Magalhaes; Jesus Gonzalez-Bosquet; Stephen J Chanock
Journal:  Carcinogenesis       Date:  2009-11-11       Impact factor: 4.944

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