Literature DB >> 7813895

Lods, wrods, and mods: the interpretation of lod scores calculated under different models.

S E Hodge1, R C Elston.   

Abstract

In this paper we examine the relationships among classical lod scores, "wrod" scores (lod scores calculated under the wrong genetic model), and "mod" scores (lod scores maximized over genetic model parameters). We compare the behavior of these scores when the state of nature is linkage to their behavior when the state of nature is no linkage. We describe sufficient conditions for mod scores to be valid and discuss their use to determine the correct genetic model. We show that lod scores represent a likelihood-ratio test for independence. We explain the "ascertainment-assumption-free" aspect of using mod scores to determine mode of inheritance and we set this aspect into a well-established statistical framework. Finally, we summarize practical guidelines for the use of mod scores.

Mesh:

Year:  1994        PMID: 7813895     DOI: 10.1002/gepi.1370110403

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


  37 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.  Linkage analysis in the presence of errors IV: joint pseudomarker analysis of linkage and/or linkage disequilibrium on a mixture of pedigrees and singletons when the mode of inheritance cannot be accurately specified.

Authors:  H H Göring; J D Terwilliger
Journal:  Am J Hum Genet       Date:  2000-03-23       Impact factor: 11.025

3.  Power comparison of parametric and nonparametric linkage tests in small pedigrees.

Authors:  P C Sham; M W Lin; J H Zhao; D Curtis
Journal:  Am J Hum Genet       Date:  2000-04-11       Impact factor: 11.025

4.  Bias and efficiency in family-based gene-characterization studies: conditional, prospective, retrospective, and joint likelihoods.

Authors:  P Kraft; D C Thomas
Journal:  Am J Hum Genet       Date:  2000-03       Impact factor: 11.025

5.  Parametric and nonparametric multipoint linkage analysis with imprinting and two-locus-trait models: application to mite sensitization.

Authors:  K Strauch; R Fimmers; T Kurz; K A Deichmann; T F Wienker; M P Baur
Journal:  Am J Hum Genet       Date:  2000-05-04       Impact factor: 11.025

6.  Linkage of tuberculosis to chromosome 2q35 loci, including NRAMP1, in a large aboriginal Canadian family.

Authors:  C M Greenwood; T M Fujiwara; L J Boothroyd; M A Miller; D Frappier; E A Fanning; E Schurr; K Morgan
Journal:  Am J Hum Genet       Date:  2000-07-05       Impact factor: 11.025

7.  Linkage at 12q24 with systemic lupus erythematosus (SLE) is established and confirmed in Hispanic and European American families.

Authors:  Swapan K Nath; Ana I Quintero-Del-Rio; Jeff Kilpatrick; Lourdes Feo; Maria Ballesteros; John B Harley
Journal:  Am J Hum Genet       Date:  2003-12-04       Impact factor: 11.025

8.  Computer simulation is an undervalued tool for genetic analysis: a historical view and presentation of SHIMSHON--a Web-based genetic simulation package.

Authors:  David A Greenberg
Journal:  Hum Hered       Date:  2011-12-23       Impact factor: 0.444

9.  Genomewide scan for linkage reveals evidence of several susceptibility loci for alopecia areata.

Authors:  Amalia Martinez-Mir; Abraham Zlotogorski; Derek Gordon; Lynn Petukhova; Jianhong Mo; T Conrad Gilliam; Douglas Londono; Chad Haynes; Jurg Ott; Maria Hordinsky; Krassimira Nanova; David Norris; Vera Price; Madeleine Duvic; Angela M Christiano
Journal:  Am J Hum Genet       Date:  2007-01-05       Impact factor: 11.025

10.  Mixture cure model with an application to interval mapping of quantitative trait loci.

Authors:  Mengling Liu; Wenbin Lu; Yongzhao Shao
Journal:  Lifetime Data Anal       Date:  2006-10-25       Impact factor: 1.588

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