Literature DB >> 2624256

Inferring mode of inheritance by comparison of lod scores.

D A Greenberg1.   

Abstract

One usually must assume a mode of inheritance when using lod scores for linkage analysis. In this study, we asked the question, "If one assumed mode of inheritance in a linkage analysis gives a higher lod score than another, does that indicate that the mode of inheritance that led to the higher lod score is more 'correct' than the other?" We simulated data under a variety of penetrances, assuming either dominant or recessive inheritance. We then analyzed those simulated data under the correct mode of inheritance, assuming a range of penetrance values, and under the incorrect model, also assuming a range of penetrance values. We found that, if there was enough information for a maximum lod score of at least 3.0, assuming the correct penetrance value or mode of inheritance in the analysis led to a higher lod score than assuming the incorrect penetrance or the incorrect mode of inheritance. These results cannot yet be generalized outside of the specific modes of inheritance and penetrance combinations that we have modeled. Also, penetrance was modeled as "random." The effect of "reduced penetrance" caused by other genetic factors has not yet been tested. We also tested the effect of non-standard ascertainment on drawing conclusions about mode of inheritance from linkage data. Even when families were ascertained only if the family was multiplex (i.e., more than one affected sib), assuming the correct mode of inheritance gave a higher lod score than assuming the incorrect mode of inheritance. This method has the promise of both simplifying and expanding the application of linkage analysis.(ABSTRACT TRUNCATED AT 250 WORDS)

Mesh:

Year:  1989        PMID: 2624256     DOI: 10.1002/ajmg.1320340406

Source DB:  PubMed          Journal:  Am J Med Genet        ISSN: 0148-7299


  34 in total

1.  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

2.  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

3.  All LODs are not created equal.

Authors:  D R Nyholt
Journal:  Am J Hum Genet       Date:  2000-07-06       Impact factor: 11.025

4.  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

5.  Practical considerations for dividing data into subsets prior to PPL analysis.

Authors:  M Govil; V J Vieland
Journal:  Hum Hered       Date:  2008-07-09       Impact factor: 0.444

6.  The keeshond defect in cardiac conotruncal development is oligogenic.

Authors:  Petra Werner; Michael G Raducha; Ulana Prociuk; Elaine A Ostrander; Richard S Spielman; Ewen F Kirkness; Donald F Patterson; Paula S Henthorn
Journal:  Hum Genet       Date:  2005-02-12       Impact factor: 4.132

7.  The power and robustness of maximum LOD score statistics.

Authors:  Y J Yoo; N R Mendell
Journal:  Ann Hum Genet       Date:  2008-04-13       Impact factor: 1.670

8.  Affecteds-only linkage methods are not a panacea.

Authors:  D A Greenberg; S E Hodge; V J Vieland; M A Spence
Journal:  Am J Hum Genet       Date:  1996-04       Impact factor: 11.025

9.  Common and unique susceptibility loci in Graves and Hashimoto diseases: results of whole-genome screening in a data set of 102 multiplex families.

Authors:  Yaron Tomer; Yoshiyuki Ban; Erlinda Concepcion; Giuseppe Barbesino; Ronald Villanueva; David A Greenberg; Terry F Davies
Journal:  Am J Hum Genet       Date:  2003-09-12       Impact factor: 11.025

10.  Autoimmune thyroiditis and diabetes: dissecting the joint genetic susceptibility in a large cohort of multiplex families.

Authors:  Maria Justina B Villano; Amanda K Huber; David A Greenberg; Brian K Golden; Erlinda Concepcion; Yaron Tomer
Journal:  J Clin Endocrinol Metab       Date:  2009-01-13       Impact factor: 5.958

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