Literature DB >> 6497351

On the lod score method in linkage analysis.

J Chotai.   

Abstract

Genetic epidemiology deals with the interaction of environmental and genetic determinants in common diseases. Linkage analysis is an important branch of this field. The current practice of claiming linkage between two genetic loci when the maximum lod score z(theta) exceeds 3 has not received theoretical justification, whether considered as a sequential or as a fixed sample size test. Within the framework of significance testing, Wald's (1947) formulae are not applicable to allow this procedure a sequential interpretation. Considered as a fixed sample size test, we find that a chi 2 approximation would instead be very adequate. Since repeated significance testing is performed on linkage data, the nominal significance level should be more stringent for each test than the overall level. Some recent developments in group sequential trials by Pocock (1977) and in repeated significance testing by Woodroofe (1979) seem to indicate that the critical value of the maximum lod score should lie roughly between 0.9 and 3.3, depending on the maximum number of repetitions anticipated, on whether the significance level is desired to be 0.05, 0.01 or 0.001, and on whether the test is derived from a one-sided or a two-sided consideration. In terms of the group sequential approach, if a maximum of twenty repetitions is allowed, if z(theta) greater than log10 A is considered as a one-sided test and assumed to be symmetric when linkage is absent, then the type I error is approximately given by 1/A. We also treat the confidence interval approach for exclusion of unlikely recombination values.

Mesh:

Year:  1984        PMID: 6497351     DOI: 10.1111/j.1469-1809.1984.tb00849.x

Source DB:  PubMed          Journal:  Ann Hum Genet        ISSN: 0003-4800            Impact factor:   1.670


  18 in total

1.  DNA marker mining of ILSTS035 microsatellite locus on chromosome 6 of Hanwoo cattle.

Authors:  Jung-Sou Yeo; Jea-Young Lee; Jae-Woo Kim
Journal:  J Genet       Date:  2004-12       Impact factor: 1.166

2.  Confirmation of linkage to 1q21-31 in a Danish autosomal dominant juvenile-onset glaucoma family and evidence of genetic heterogeneity.

Authors:  C Graff; S F Urbak; T Jerndal; C Wadelius
Journal:  Hum Genet       Date:  1995-09       Impact factor: 4.132

3.  William Allan Award Address: On the role and soul of a statistical geneticist.

Authors:  Jürg Ott
Journal:  Am J Hum Genet       Date:  2011-03-11       Impact factor: 11.025

4.  The quantitative LOD score: test statistic and sample size for exclusion and linkage of quantitative traits in human sibships.

Authors:  G P Page; C I Amos; E Boerwinkle
Journal:  Am J Hum Genet       Date:  1998-04       Impact factor: 11.025

5.  Multipoint linkage analysis.

Authors:  N E Morton; C J MacLean; R Lew; S Yee
Journal:  Am J Hum Genet       Date:  1986-06       Impact factor: 11.025

6.  Sample-size considerations and strategies for linkage analysis in autosomal recessive disorders.

Authors:  F L Wong; R M Cantor; J I Rotter
Journal:  Am J Hum Genet       Date:  1986-07       Impact factor: 11.025

7.  Two-locus models of disease: comparison of likelihood and nonparametric linkage methods.

Authors:  L R Goldin; D E Weeks
Journal:  Am J Hum Genet       Date:  1993-10       Impact factor: 11.025

8.  A powerful likelihood method for the analysis of linkage disequilibrium between trait loci and one or more polymorphic marker loci.

Authors:  J D Terwilliger
Journal:  Am J Hum Genet       Date:  1995-03       Impact factor: 11.025

9.  Model-free linkage analysis using likelihoods.

Authors:  D Curtis; P C Sham
Journal:  Am J Hum Genet       Date:  1995-09       Impact factor: 11.025

10.  Resolving an apparent paradox concerning the role of TGFA in CL/P.

Authors:  M Farrall; K H Buetow; J C Murray
Journal:  Am J Hum Genet       Date:  1993-02       Impact factor: 11.025

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.