Literature DB >> 18410472

The power and robustness of maximum LOD score statistics.

Y J Yoo1, N R Mendell.   

Abstract

The maximum LOD score statistic is extremely powerful for gene mapping when calculated using the correct genetic parameter value. When the mode of genetic transmission is unknown, the maximum of the LOD scores obtained using several genetic parameter values is reported. This latter statistic requires higher critical value than the maximum LOD score statistic calculated from a single genetic parameter value. In this paper, we compare the power of maximum LOD scores based on three fixed sets of genetic parameter values with the power of the LOD score obtained after maximizing over the entire range of genetic parameter values. We simulate family data under nine generating models. For generating models with non-zero phenocopy rates, LOD scores maximized over the entire range of genetic parameters yielded greater power than maximum LOD scores for fixed sets of parameter values with zero phenocopy rates. No maximum LOD score was consistently more powerful than the others for generating models with a zero phenocopy rate. The power loss of the LOD score maximized over the entire range of genetic parameters, relative to the maximum LOD score calculated using the correct genetic parameter value, appeared to be robust to the generating models.

Mesh:

Year:  2008        PMID: 18410472      PMCID: PMC2573393          DOI: 10.1111/j.1469-1809.2008.00442.x

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


  19 in total

1.  Direct power comparisons between simple LOD scores and NPL scores for linkage analysis in complex diseases.

Authors:  P C Abreu; D A Greenberg; S E Hodge
Journal:  Am J Hum Genet       Date:  1999-09       Impact factor: 11.025

2.  Sequential tests for the detection of linkage.

Authors:  N E MORTON
Journal:  Am J Hum Genet       Date:  1955-09       Impact factor: 11.025

3.  Measuring the inflation of the lod score due to its maximization over model parameter values in human linkage analysis.

Authors:  D E Weeks; T Lehner; E Squires-Wheeler; C Kaufmann; J Ott
Journal:  Genet Epidemiol       Date:  1990       Impact factor: 2.135

4.  On the asymptotic behavior of the estimate of the recombination fraction under the null hypothesis of no linkage when the model is misspecified.

Authors:  J A Williamson; C I Amos
Journal:  Genet Epidemiol       Date:  1990       Impact factor: 2.135

5.  The Distribution of Chi-Square.

Authors:  E B Wilson; M M Hilferty
Journal:  Proc Natl Acad Sci U S A       Date:  1931-12       Impact factor: 11.205

6.  Localization of a susceptibility locus for schizophrenia on chromosome 5.

Authors:  R Sherrington; J Brynjolfsson; H Petursson; M Potter; K Dudleston; B Barraclough; J Wasmuth; M Dobbs; H Gurling
Journal:  Nature       Date:  1988-11-10       Impact factor: 49.962

7.  Estimation of the recombination fraction in human pedigrees: efficient computation of the likelihood for human linkage studies.

Authors:  J Ott
Journal:  Am J Hum Genet       Date:  1974-09       Impact factor: 11.025

8.  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

9.  Distribution of lod scores under uncertain mode of inheritance.

Authors:  C J MacLean; D T Bishop; S L Sherman; S R Diehl
Journal:  Am J Hum Genet       Date:  1993-02       Impact factor: 11.025

10.  Computer-simulation methods in human linkage analysis.

Authors:  J Ott
Journal:  Proc Natl Acad Sci U S A       Date:  1989-06       Impact factor: 11.205

View more
  2 in total

1.  Sensitized mutagenesis screen in Factor V Leiden mice identifies thrombosis suppressor loci.

Authors:  Randal J Westrick; Kärt Tomberg; Amy E Siebert; Guojing Zhu; Mary E Winn; Sarah L Dobies; Sara L Manning; Marisa A Brake; Audrey C Cleuren; Linzi M Hobbs; Lena M Mishack; Alexander J Johnston; Emilee Kotnik; David R Siemieniak; Jishu Xu; Jun Z Li; Thomas L Saunders; David Ginsburg
Journal:  Proc Natl Acad Sci U S A       Date:  2017-08-21       Impact factor: 11.205

2.  Variants in Nebulin (NEB) Are Linked to the Development of Familial Primary Angle Closure Glaucoma in Basset Hounds.

Authors:  Dina F Ahram; Sinisa D Grozdanic; Helga Kecova; Arjen Henkes; Rob W J Collin; Markus H Kuehn
Journal:  PLoS One       Date:  2015-05-04       Impact factor: 3.240

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.