Literature DB >> 8178830

A likelihood approach to calculating risk support intervals.

S M Leal1, J Ott.   

Abstract

Genetic risks are usually computed under the assumption that genetic parameters, such as the recombination fraction, are known without error. Uncertainty in the estimates of these parameters must translate into uncertainty regarding the risk. To allow for uncertainties in parameter values, one may employ Bayesian techniques or, in a maximum-likelihood framework, construct a support interval (SI) for the risk. Here we have implemented the latter approach. The SI for the risk is based on the SIs of parameters involved in the pedigree likelihood. As an empirical example, the SI for the risk was calculated for probands who are members of chronic spinal muscular atrophy kindreds. In order to evaluate the accuracy of a risk in genetic counseling situations, we advocate that, in addition to a point estimate, an SI for the risk should be calculated.

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Year:  1994        PMID: 8178830      PMCID: PMC1918257     

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


  13 in total

1.  Genetic mapping of chronic childhood-onset spinal muscular atrophy to chromosome 5q11.2-13.3.

Authors:  L M Brzustowicz; T Lehner; L H Castilla; G K Penchaszadeh; K C Wilhelmsen; R Daniels; K E Davies; M Leppert; F Ziter; D Wood
Journal:  Nature       Date:  1990-04-05       Impact factor: 49.962

2.  Approximate confidence intervals for risk prediction in genetic counseling.

Authors:  K Lange
Journal:  Am J Hum Genet       Date:  1986-05       Impact factor: 11.025

3.  Genetic risk and recombination fraction--an example of non-monotonic dependency.

Authors:  M Krawczak
Journal:  Hum Genet       Date:  1987-02       Impact factor: 4.132

4.  Recurrence risks for multifactorial inheritance.

Authors:  C Smith
Journal:  Am J Hum Genet       Date:  1971-11       Impact factor: 11.025

5.  A general model for the genetic analysis of pedigree data.

Authors:  R C Elston; J Stewart
Journal:  Hum Hered       Date:  1971       Impact factor: 0.444

6.  Risk calculations under heterogeneity.

Authors:  D E Weeks; J Ott
Journal:  Am J Hum Genet       Date:  1989-11       Impact factor: 11.025

7.  Assessment of nonallelic genetic heterogeneity of chronic (type II and III) spinal muscular atrophy.

Authors:  L M Brzustowicz; C Mérette; P W Kleyn; T Lehner; L H Castilla; G K Penchaszadeh; K Das; T L Munsat; J Ott; T C Gilliam
Journal:  Hum Hered       Date:  1993 Nov-Dec       Impact factor: 0.444

8.  Easy calculations of lod scores and genetic risks on small computers.

Authors:  G M Lathrop; J M Lalouel
Journal:  Am J Hum Genet       Date:  1984-03       Impact factor: 11.025

9.  Linkage heterogeneity of autosomal dominant polycystic kidney disease.

Authors:  W J Kimberling; P R Fain; J B Kenyon; D Goldgar; E Sujansky; P A Gabow
Journal:  N Engl J Med       Date:  1988-10-06       Impact factor: 91.245

10.  Genetic counseling in rare syndromes: a resampling method for determining an approximate confidence interval for gene location with linkage data from a single pedigree.

Authors:  G K Suthers; S R Wilson
Journal:  Am J Hum Genet       Date:  1990-07       Impact factor: 11.025

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  3 in total

1.  Variability of genotype-specific penetrance probabilities in the calculation of risk support intervals.

Authors:  S M Leal; J Ott
Journal:  Genet Epidemiol       Date:  1995       Impact factor: 2.135

2.  Frailty Models for Familial Risk with Application to Breast Cancer.

Authors:  Malka Gorfine; Li Hsu; Giovanni Parmigiani
Journal:  J Am Stat Assoc       Date:  2013-12-01       Impact factor: 5.033

3.  Determining carrier probabilities for breast cancer-susceptibility genes BRCA1 and BRCA2.

Authors:  G Parmigiani; D Berry; O Aguilar
Journal:  Am J Hum Genet       Date:  1998-01       Impact factor: 11.025

  3 in total

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