Literature DB >> 19357710

A population-based study of Australian twins with melanoma suggests a strong genetic contribution to liability.

Sri N Shekar1, David L Duffy, Philippa Youl, Amanda J Baxter, Marina Kvaskoff, David C Whiteman, Adèle C Green, Maria C Hughes, Nicholas K Hayward, Marylon Coates, Nicholas G Martin.   

Abstract

Melanoma runs within families, but this may be due to either shared genetic or shared environmental influences within those families. The concordance between pairs of non-identical twins compared to that between identical twins can be used to determine whether familial aggregation is due to genetic or environmental factors. Mandatory reporting of melanoma cases in the state of Queensland yielded approximately 12,000 cases between 1982 and 1990. Twins in this study and from the adjacent state of New South Wales (125 pairs in total) were used to partition variation in liability to melanoma into genetic and environmental factors. Identical twins were more concordant for melanoma (4 of 27 pairs) than non-identical twins (3 of 98 pairs; P-value approximately 0.04). Identical co-twins of affected individuals were 9.8 times more likely to be affected than by chance. However, non-identical co-twins of affected individuals were only 1.8 times more likely to be affected than by chance. An MZ:DZ recurrence risk ratio of 5.6 suggests that some of the genetic influences on melanoma are due to epistatic (gene-gene) interactions. Using these data and population prevalences, it was estimated that 55% of the variation in liability to melanoma is due to genetic influences.

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Year:  2009        PMID: 19357710      PMCID: PMC3672052          DOI: 10.1038/jid.2009.48

Source DB:  PubMed          Journal:  J Invest Dermatol        ISSN: 0022-202X            Impact factor:   8.551


  37 in total

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9.  The Queensland Study of Melanoma: environmental and genetic associations (Q-MEGA); study design, baseline characteristics, and repeatability of phenotype and sun exposure measures.

Authors:  Amanda J Baxter; Maria Celia Hughes; Marina Kvaskoff; Victor Siskind; Sri Shekar; Joanne F Aitken; Adele C Green; David L Duffy; Nicholas K Hayward; Nicholas G Martin; David C Whiteman
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Authors:  J F Aitken; A C Green; R MacLennan; P Youl; N G Martin
Journal:  Melanoma Res       Date:  1996-04       Impact factor: 3.599

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  14 in total

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Journal:  J Natl Cancer Inst       Date:  2011-06-21       Impact factor: 13.506

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4.  IRF4 variants have age-specific effects on nevus count and predispose to melanoma.

Authors:  David L Duffy; Mark M Iles; Dan Glass; Gu Zhu; Jennifer H Barrett; Veronica Höiom; Zhen Z Zhao; Richard A Sturm; Nicole Soranzo; Chris Hammond; Marina Kvaskoff; David C Whiteman; Massimo Mangino; Johan Hansson; Julia A Newton-Bishop; Veronique Bataille; Nicholas K Hayward; Nicholas G Martin; D Timothy Bishop; Timothy D Spector; Grant W Montgomery
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7.  Molecular characterization of melanoma cases in Denmark suspected of genetic predisposition.

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Journal:  PLoS One       Date:  2015-03-24       Impact factor: 3.240

8.  DCAF4, a novel gene associated with leucocyte telomere length.

Authors:  Massimo Mangino; Lene Christiansen; Rivka Stone; Steven C Hunt; Kent Horvath; Dan T A Eisenberg; Masayuki Kimura; Inge Petersen; Jeremy D Kark; Utz Herbig; Alex P Reiner; Athanase Benetos; Veryan Codd; Dale R Nyholt; Ronit Sinnreich; Kaare Christensen; Hisham Nassar; Shih-Jen Hwang; Daniel Levy; Veronique Bataille; Annette L Fitzpatrick; Wei Chen; Gerald S Berenson; Nilesh J Samani; Nicholas G Martin; Sarah Tishkoff; Nicholas J Schork; Kirsten Ohm Kyvik; Christine Dalgård; Timothy D Spector; Abraham Aviv
Journal:  J Med Genet       Date:  2015-01-26       Impact factor: 6.318

9.  Replication and predictive value of SNPs associated with melanoma and pigmentation traits in a Southern European case-control study.

Authors:  Irene Stefanaki; Orestis A Panagiotou; Elisavet Kodela; Helen Gogas; Katerina P Kypreou; Foteini Chatzinasiou; Vasiliki Nikolaou; Michaela Plaka; Iro Kalfa; Christina Antoniou; John P A Ioannidis; Evangelos Evangelou; Alexander J Stratigos
Journal:  PLoS One       Date:  2013-02-05       Impact factor: 3.240

10.  Integrative genetic analysis suggests that skin color modifies the genetic architecture of melanoma.

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