Literature DB >> 17295057

Bayesian risk assessment in genetic testing for autosomal dominant disorders with age-dependent penetrance.

Shuji Ogino1, Robert B Wilson, Bert Gold, Pamela Flodman.   

Abstract

Risk assessment is an essential component of genetic counseling and testing, and the accuracy of risk assessment is critical for decision making by consultands. However, it has been shown that genetic risk calculations may have high error rates in practice. Risk calculations for autosomal dominant disorders are frequently complicated by age-dependent penetrance and sensitivities of less than 100% in genetic testing. We provide methods of risk calculation for prototypical pedigrees of a family at risk for an autosomal dominant disorder with age-dependent penetrance. Our risk calculations include scenarios in which the sensitivity of genetic testing is less than 100%, and in which the sensitivity of genetic testing varies for different family members at risk. Our Bayesian methods permit autosomal dominant disease probabilities to be calculated accurately, taking into account all relevant information. Our methods are particularly useful for hereditary cancer syndromes, in which genetic testing can seldom achieve 100% sensitivity. Our methods can be applied to many different scenarios, including those where the sensitivity of genetic testing varies for different family members at risk.

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Mesh:

Year:  2007        PMID: 17295057     DOI: 10.1007/s10897-006-9040-9

Source DB:  PubMed          Journal:  J Genet Couns        ISSN: 1059-7700            Impact factor:   2.537


  14 in total

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Review 3.  Bayesian analysis and risk assessment in genetic counseling and testing.

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7.  A Simple, Unified Approach to Bayesian Risk Calculations.

Authors:  S E Hodge
Journal:  J Genet Couns       Date:  1998-06       Impact factor: 2.537

Review 8.  Genetic testing and risk assessment for spinal muscular atrophy (SMA).

Authors:  Shuji Ogino; Robert B Wilson
Journal:  Hum Genet       Date:  2002-10-03       Impact factor: 4.132

9.  Bayesian analysis for cystic fibrosis risks in prenatal and carrier screening.

Authors:  Shuji Ogino; Robert B Wilson; Bert Gold; Pamela Hawley; Wayne W Grody
Journal:  Genet Med       Date:  2004 Sep-Oct       Impact factor: 8.822

10.  Favourable mutation test outcomes for individuals at risk for Huntington disease change the perspectives of first-degree relatives.

Authors:  Benno Bonke; Aad Tibben; Dick Lindhout; Theo Stijnen
Journal:  Hum Genet       Date:  2002-07-23       Impact factor: 4.132

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