Literature DB >> 10417291

A major quantitative-trait locus for mole density is linked to the familial melanoma gene CDKN2A: a maximum-likelihood combined linkage and association analysis in twins and their sibs.

G Zhu1, D L Duffy, A Eldridge, M Grace, C Mayne, L O'Gorman, J F Aitken, M C Neale, N K Hayward, A C Green, N G Martin.   

Abstract

Important risk factors for melanoma are densely clustered melanocytic nevi (common moles) and mutations in the p16 (CDKN2A) gene. Nevi may be subclassified as raised or flat. In our sample, raised nevi were 27% of the total, and the two kinds had a correlation of.33. Correlations for total-nevus count (TNC) in 153 MZ and 199 DZ twin pairs were.94 and.60, respectively, which are compatible with a very-high degree of genetic determination. We hypothesized that some of the genetic variance might be due to variation in the p16 gene. Analysis of linkage to a highly polymorphic marker (D9S942), located close to p16, detected quantitative-trait-loci (QTL) effects accounting for 27% of variance in TNC, rising to 33% if flat but not raised moles were considered. Total heritability was higher for raised (.69) than for flat (.42) moles, but QTL linkage was 0 for raised moles, whereas it accounted for 80% of the heritability of flat moles; additionally, family environment accounted for only 15% of variance in raised versus 46% in flat moles. These findings suggest that raised and flat nevi have very different etiologies. Longer alleles at D9S942 were associated with higher flat-mole counts, and a novel modification to a within-sibship association test showed that this association is genuine and not due to population stratification, although it accounts for only 1% of total variance. Since germline mutations in the exons of CDKN2A are rare, it is likely that variants in the noncoding regions of this gene, or in another gene nearby, are responsible for this major determinant of moliness and, hence, of melanoma risk.

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Year:  1999        PMID: 10417291      PMCID: PMC1377947          DOI: 10.1086/302494

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  40 in total

1.  CDKN2A variants in a population-based sample of Queensland families with melanoma.

Authors:  J Aitken; J Welch; D Duffy; A Milligan; A Green; N Martin; N Hayward
Journal:  J Natl Cancer Inst       Date:  1999-03-03       Impact factor: 13.506

Review 2.  Epidemiology of melanocytic nevi.

Authors:  A Green; A J Swerdlow
Journal:  Epidemiol Rev       Date:  1989       Impact factor: 6.222

3.  Is the genetics of moliness simply the genetics of sun exposure? A path analysis of nevus counts and risk factors in British twins.

Authors:  D L Duffy; A M Macdonald; D F Easton; B A Ponder; N G Martin
Journal:  Cytogenet Cell Genet       Date:  1992

4.  Extensions to pedigree analysis. III. Variance components by the scoring method.

Authors:  K Lange; J Westlake; M A Spence
Journal:  Ann Hum Genet       Date:  1976-05       Impact factor: 1.670

5.  A simple salting out procedure for extracting DNA from human nucleated cells.

Authors:  S A Miller; D D Dykes; H F Polesky
Journal:  Nucleic Acids Res       Date:  1988-02-11       Impact factor: 16.971

6.  Does the PI polymorphism alone control alpha-1-antitrypsin expression?

Authors:  N G Martin; P Clark; A F Ofulue; L J Eaves; L A Corey; W E Nance
Journal:  Am J Hum Genet       Date:  1987-03       Impact factor: 11.025

Review 7.  Melanocytic naevi and melanoma: an epidemiological perspective.

Authors:  A J Swerdlow; A Green
Journal:  Br J Dermatol       Date:  1987-08       Impact factor: 9.302

8.  Sunlight: a major factor associated with the development of melanocytic nevi in Australian schoolchildren.

Authors:  J W Kelly; J K Rivers; R MacLennan; S Harrison; A E Lewis; B J Tate
Journal:  J Am Acad Dermatol       Date:  1994-01       Impact factor: 11.527

9.  Inheritance of nevus number and size in melanoma and dysplastic nevus syndrome kindreds.

Authors:  D E Goldgar; L A Cannon-Albright; L J Meyer; M W Piepkorn; J J Zone; M H Skolnick
Journal:  J Natl Cancer Inst       Date:  1991-12-04       Impact factor: 13.506

10.  Increasing incidence of cutaneous melanoma in Queensland, Australia.

Authors:  R MacLennan; A C Green; G R McLeod; N G Martin
Journal:  J Natl Cancer Inst       Date:  1992-09-16       Impact factor: 13.506

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  52 in total

1.  Melanocortin-1 receptor polymorphisms and risk of melanoma: is the association explained solely by pigmentation phenotype?

Authors:  J S Palmer; D L Duffy; N F Box; J F Aitken; L E O'Gorman; A C Green; N K Hayward; N G Martin; R A Sturm
Journal:  Am J Hum Genet       Date:  2000-01       Impact factor: 11.025

2.  Bias in estimates of quantitative-trait-locus effect in genome scans: demonstration of the phenomenon and a method-of-moments procedure for reducing bias.

Authors:  David B Allison; Jose R Fernandez; Moonseong Heo; Shankuan Zhu; Carol Etzel; T Mark Beasley; Christopher I Amos
Journal:  Am J Hum Genet       Date:  2002-02-08       Impact factor: 11.025

3.  Melanocytic nevi, nevus genes, and melanoma risk in a large case-control study in the United Kingdom.

Authors:  Julia A Newton-Bishop; Yu-Mei Chang; Mark M Iles; John C Taylor; Bert Bakker; May Chan; Susan Leake; Birute Karpavicius; Sue Haynes; Elaine Fitzgibbon; Faye Elliott; Peter A Kanetsky; Mark Harland; Jennifer H Barrett; D Timothy Bishop
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-07-20       Impact factor: 4.254

4.  A genomewide scan for intelligence identifies quantitative trait loci on 2q and 6p.

Authors:  Danielle Posthuma; Michelle Luciano; Eco J C de Geus; Margie J Wright; P Eline Slagboom; Grant W Montgomery; Dorret I Boomsma; Nicholas G Martin
Journal:  Am J Hum Genet       Date:  2005-07-01       Impact factor: 11.025

5.  A three-single-nucleotide polymorphism haplotype in intron 1 of OCA2 explains most human eye-color variation.

Authors:  David L Duffy; Grant W Montgomery; Wei Chen; Zhen Zhen Zhao; Lien Le; Michael R James; Nicholas K Hayward; Nicholas G Martin; Richard A Sturm
Journal:  Am J Hum Genet       Date:  2006-12-20       Impact factor: 11.025

6.  Residual linkage: why do linkage peaks not disappear after an association study?

Authors:  Scott Gordon; Peter M Visscher
Journal:  Hum Genet       Date:  2006-10-27       Impact factor: 4.132

7.  High-density fine-mapping of a chromosome 10q26 linkage peak suggests association between endometriosis and variants close to CYP2C19.

Authors:  Jodie N Painter; Dale R Nyholt; Andrew Morris; Zhen Z Zhao; Anjali K Henders; Ann Lambert; Leanne Wallace; Nicholas G Martin; Stephen H Kennedy; Susan A Treloar; Krina T Zondervan; Grant W Montgomery
Journal:  Fertil Steril       Date:  2011-04-16       Impact factor: 7.329

8.  A genome-wide linkage scan for age at menarche in three populations of European descent.

Authors:  Carl A Anderson; Gu Zhu; Mario Falchi; Stéphanie M van den Berg; Susan A Treloar; Timothy D Spector; Nicholas G Martin; Dorret I Boomsma; Peter M Visscher; Grant W Montgomery
Journal:  J Clin Endocrinol Metab       Date:  2008-07-22       Impact factor: 5.958

9.  Family-based mitochondrial association study of traits related to type 2 diabetes and the metabolic syndrome in adolescents.

Authors:  E M Byrne; A F McRae; D L Duffy; Z Z Zhao; N G Martin; J B Whitfield; P M Visscher; G W Montgomery
Journal:  Diabetologia       Date:  2009-09-04       Impact factor: 10.122

10.  UV exposure modulates hemidesmosome plasticity, contributing to long-term pigmentation in human skin.

Authors:  Sergio G Coelho; Julio C Valencia; Lanlan Yin; Christoph Smuda; Andre Mahns; Ludger Kolbe; Sharon A Miller; Janusz Z Beer; Guofeng Zhang; Pamela L Tuma; Vincent J Hearing
Journal:  J Pathol       Date:  2015-02-17       Impact factor: 7.996

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