Literature DB >> 1539592

Heterogeneity analysis of breast cancer families by using age at onset as a covariate.

C Mérette1, M C King, J Ott.   

Abstract

An extension of the usual mixture model of heterogeneity (two family types, one with and one without linkage) is proposed by introducing age at onset as a covariate. The extended model defines age-dependent penetrances where the exact parametrization of age-at-onset distributions depends on the given genotype and family type (linked or unlinked). This extension was applied to breast cancer families. We postulated that the mean age at onset in individuals affected by the linked gene was lower than the mean age at onset in all other affected individuals. Linkage heterogeneity for breast cancer families was detected at a significance level of .003.

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Year:  1992        PMID: 1539592      PMCID: PMC1684276     

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


  5 in total

1.  TESTING FOR HETEROGENEITY OF RECOMBINATION FRACTION VALUES IN HUMAN GENETICS.

Authors:  C A SMITH
Journal:  Ann Hum Genet       Date:  1963-11       Impact factor: 1.670

2.  The association of age and familial risk in a case-control study of breast cancer.

Authors:  C Mettlin; I Croghan; N Natarajan; W Lane
Journal:  Am J Epidemiol       Date:  1990-06       Impact factor: 4.897

3.  Ascertainment and age of onset in pedigree analysis.

Authors:  R C Elston
Journal:  Hum Hered       Date:  1973       Impact factor: 0.444

4.  Linkage of early-onset familial breast cancer to chromosome 17q21.

Authors:  J M Hall; M K Lee; B Newman; J E Morrow; L A Anderson; B Huey; M C King
Journal:  Science       Date:  1990-12-21       Impact factor: 47.728

5.  Strategies for multilocus linkage analysis in humans.

Authors:  G M Lathrop; J M Lalouel; C Julier; J Ott
Journal:  Proc Natl Acad Sci U S A       Date:  1984-06       Impact factor: 11.205

  5 in total
  7 in total

1.  Is there heterogeneity of age at onset for breast cancer?

Authors:  J Ott; C Mérette
Journal:  Am J Hum Genet       Date:  1993-03       Impact factor: 11.025

2.  Two-trait-locus linkage analysis: a powerful strategy for mapping complex genetic traits.

Authors:  N J Schork; M Boehnke; J D Terwilliger; J Ott
Journal:  Am J Hum Genet       Date:  1993-11       Impact factor: 11.025

3.  The Relative Importance of Race Compared to Health Care and Social Factors in Predicting Prostate Cancer Mortality: A Random Forest Approach.

Authors:  Heidi A Hanson; Christopher Martin; Brock O'Neil; Claire L Leiser; Erik N Mayer; Ken R Smith; William T Lowrance
Journal:  J Urol       Date:  2019-06-27       Impact factor: 7.450

4.  Harnessing Population Pedigree Data and Machine Learning Methods to Identify Patterns of Familial Bladder Cancer Risk.

Authors:  Heidi A Hanson; Claire L Leiser; Brock O'Neil; Christopher Martin; Sumati Gupta; Ken R Smith; Christopher Dechet; William T Lowrance; Michael J Madsen; Nicola J Camp
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-02-25       Impact factor: 4.254

5.  Linkage analysis of 19 French breast cancer families, with five chromosome 17q markers.

Authors:  S Mazoyer; P Lalle; S A Narod; Y J Bignon; F Courjal; B Jamot; B Dutrillaux; D Stoppa-Lyonnett; H Sobol
Journal:  Am J Hum Genet       Date:  1993-04       Impact factor: 11.025

6.  Genetic linkage analysis in familial breast and ovarian cancer: results from 214 families. The Breast Cancer Linkage Consortium.

Authors:  D F Easton; D T Bishop; D Ford; G P Crockford
Journal:  Am J Hum Genet       Date:  1993-04       Impact factor: 11.025

Review 7.  Familial risk and genetic susceptibility for breast cancer.

Authors:  N Eby; J Chang-Claude; D T Bishop
Journal:  Cancer Causes Control       Date:  1994-09       Impact factor: 2.506

  7 in total

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