Literature DB >> 12652526

Kin-cohort evaluation of relative risks of genetic variants.

Catherine L Saunders1, Colin B Begg.   

Abstract

The kin-cohort study, an embedded retrospective cohort of first-degree relatives of probands, has been used frequently in conjunction with case-control studies to evaluate penetrance of high-risk genotypes. However, in principle, the kin-cohort approach can be used in conjunction with a case-control study in which family history data are carefully recorded to examine and validate the observed association of any candidate genotype with disease. Its utility for this purpose is governed by the relative efficiency of the kin-cohort analysis to test hypotheses about the relevant genotype-disease odds ratios, which in turn depends strongly on various factors, notably the magnitude of the disease incidence rate and the prevalence of the aberrant genotype. In this study, we compare the efficiencies of the two analytic approaches, case-control vs. kin-cohort, and illustrate the results in the context of cancer epidemiology. The kin-cohort analysis can provide substantial, important supplementary information for relatively common cancers such as breast, lung, colorectal, and prostate, and is also relatively efficient in general for the evaluation of the stronger and more rare genetic risk factors. Genet Epidemiol 24:220-229, 2003. Copyright 2003 Wiley-Liss, Inc.

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Year:  2003        PMID: 12652526     DOI: 10.1002/gepi.10235

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


  4 in total

1.  Rare germline mutations in PALB2 and breast cancer risk: a population-based study.

Authors:  Marc Tischkowitz; Marinela Capanu; Nelly Sabbaghian; Lili Li; Xiaolin Liang; Maxime P Vallée; Sean V Tavtigian; Patrick Concannon; William D Foulkes; Leslie Bernstein; Jonine L Bernstein; Colin B Begg
Journal:  Hum Mutat       Date:  2012-02-15       Impact factor: 4.878

2.  Estimating gene penetrance from family data.

Authors:  Gail Gong; Nathan Hannon; Alice S Whittemore
Journal:  Genet Epidemiol       Date:  2010-05       Impact factor: 2.135

3.  Kin-cohort estimates for familial breast cancer risk in relation to variants in DNA base excision repair, BRCA1 interacting and growth factor genes.

Authors:  Alice J Sigurdson; Michael Hauptmann; Nilanjan Chatterjee; Bruce H Alexander; Michele Morin Doody; Joni L Rutter; Jeffery P Struewing
Journal:  BMC Cancer       Date:  2004-03-12       Impact factor: 4.430

4.  Estimation of genotype relative risks from pedigree data by retrospective likelihoods.

Authors:  Daniel J Schaid; Shannon K McDonnell; Shaun M Riska; Erin E Carlson; Stephen N Thibodeau
Journal:  Genet Epidemiol       Date:  2010-05       Impact factor: 2.135

  4 in total

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