Literature DB >> 3169526

Genetic analysis of human breast cancer: implications for family study designs.

N Andrieu1, F Demenais, M Martinez.   

Abstract

Genetic analysis of human breast cancer, as with many common diseases, raises several problems including sampling strategies, genetic heterogeneity, and gene-environment interactions. A reanalysis of 200 Danish breast cancer pedigrees, under the unified mixed model, was conducted to investigate more specifically these three points. We found that use of different sampling schemes leads to similar conclusions: familial transmission of breast cancer in this whole Danish sample cannot be accounted for by the Mendelian segregation of a dominant gene. Homogeneity tests, based on an a priori subdivision of the sample, were all nonsignificant under a given genetic model. However, it was possible to isolate a particular subgroup of pedigrees displaying only breast cancer, which was compatible with the segregation of a dominant gene. We have also shown that correct specification of a liability indicator according to epidemiological factors is of major importance to detect a major effect under the mixed model. Our results emphasize the need to design family studies including various types of information in the probands and family members to permit some progress in the understanding of complex diseases.

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Year:  1988        PMID: 3169526     DOI: 10.1002/gepi.1370050404

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  3 in total

1.  Interactions between genetic and reproductive factors in breast cancer risk in a French family sample.

Authors:  N Andrieu; F Demenais
Journal:  Am J Hum Genet       Date:  1997-09       Impact factor: 11.025

2.  The transmission probability model is useful to prevent false inference.

Authors:  F Demenais; M Martinez; N Andrieu
Journal:  Am J Hum Genet       Date:  1993-02       Impact factor: 11.025

3.  The effects of interaction between familial and reproductive factors on breast cancer risk: a combined analysis of seven case-control studies.

Authors:  N Andrieu; T Smith; S Duffy; D G Zaridze; R Renaud; T Rohan; M Gerber; E Luporsi; M Lê; H P Lee; Y Lifanova; N E Day
Journal:  Br J Cancer       Date:  1998-05       Impact factor: 7.640

  3 in total

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