Literature DB >> 15338458

Conventional multipoint nonparametric linkage analysis is not necessarily inherently biased.

Peter M Visscher, Naomi R Wray.   

Abstract

Mesh：

Year:  2004        PMID： 15338458      PMCID： PMC1182061          DOI： 10.1086/424755

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


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  6 in total

1.  Merlin--rapid analysis of dense genetic maps using sparse gene flow trees.

Authors:  Gonçalo R Abecasis; Stacey S Cherny; William O Cookson; Lon R Cardon
Journal:  Nat Genet       Date:  2001-12-03       Impact factor: 38.330

2.  Inherent bias toward the null hypothesis in conventional multipoint nonparametric linkage analysis.

Authors:  Nicholas J Schork; Tiffany A Greenwood
Journal:  Am J Hum Genet       Date:  2004-01-19       Impact factor: 11.025

3.  Bias toward the null hypothesis in model-free linkage analysis is highly dependent on the test statistic used.

Authors:  Heather J Cordell
Journal:  Am J Hum Genet       Date:  2004-04-29       Impact factor: 11.025

4.  Parametric and nonparametric linkage analysis: a unified multipoint approach.

Authors:  L Kruglyak; M J Daly; M P Reeve-Daly; E S Lander
Journal:  Am J Hum Genet       Date:  1996-06       Impact factor: 11.025

5.  Allele-sharing models: LOD scores and accurate linkage tests.

Authors:  A Kong; N J Cox
Journal:  Am J Hum Genet       Date:  1997-11       Impact factor: 11.025

6.  Using the expectation or the distribution of the identity by descent for mapping quantitative trait loci under the random model.

Authors:  D D Gessler; S Xu
Journal:  Am J Hum Genet       Date:  1996-12       Impact factor: 11.025
  6 in total
  1 in total

1.  Weighting affected sib pairs by marker informativity.

Authors:  Daniel Franke; Andreas Ziegler
Journal:  Am J Hum Genet       Date:  2005-06-28       Impact factor: 11.025
  1 in total

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