Literature DB >> 11055376

Comparison of allele-sharing statistics for general pedigrees.

E Feingold1, K K Song, D E Weeks.   

Abstract

The popularity of "non-parametric" linkage analysis using moderate and large sized pedigrees has increased in the last few years. Only a few of the existing allele-sharing statistics are applicable to general pedigrees, and even fewer are in common use. Little research has been done to compare the power of these statistics. We present some preliminary investigations into the power of the most popular general-pedigree allele-sharing statistics. We show that there are indeed non-trivial differences among the statistics, and that further studies are warranted. In particular, pedigree structure and the degree of recessiveness of the trait appear to be critical factors in determining which statistics are most powerful.

Mesh:

Year:  2000        PMID: 11055376     DOI: 10.1002/1098-2272(2000)19:1+<::AID-GEPI14>3.0.CO;2-4

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


  3 in total

1.  Statistics for nonparametric linkage analysis of X-linked traits in general pedigrees.

Authors:  Kyunghee K Song; Eleanor Feingold; Daniel E Weeks
Journal:  Am J Hum Genet       Date:  2001-11-21       Impact factor: 11.025

2.  A survey of affected-sibship statistics for nonparametric linkage analysis.

Authors:  H Sengul; D E Weeks; E Feingold
Journal:  Am J Hum Genet       Date:  2001-06-11       Impact factor: 11.025

3.  The power and statistical behaviour of allele-sharing statistics when applied to models with two disease loci.

Authors:  Yin Y Shugart; Bing-Jian Feng; Andrew Collins
Journal:  J Genet       Date:  2002-12       Impact factor: 1.166

  3 in total

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