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. 2008 Sep;72(Pt 5):676-82.
doi: 10.1111/j.1469-1809.2008.00451.x. Epub 2008 May 28.

Exact trait-model-free tests for linkage detection in pedigrees

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Exact trait-model-free tests for linkage detection in pedigrees

S Basu et al. Ann Hum Genet. 2008 Sep.

Abstract

A number of trait-model-free tests have been proposed for linkage detection between a genomic region and a trait. These tests involve testing the dependence in segregation between a trait and marker alleles by assigning a score to every possible identity-by-descent configuration of the pedigree members without modeling the trait, and then averaging the scores over all such configurations compatible with the observed marker genotypes and genealogical relationship of the pedigree members. In this paper we propose a permutation test as an alternative to the existing exact trait-model-free tests for linkage detection. The proposed test is computationally efficient and is applicable on complex multigeneration pedigree structures. In this paper, we have compared the performance of the permutation test with two other exact trait-model-free tests for linkage detection on simulated datasets. We have demonstrated that the proposed permutation test is fully robust against mispecification of marker allele frequencies and has very good power for linkage detection. The permutation test is implemented in the program lm_ibdtests within the framework of MORGAN 2.8 (http://www.stat.washington.edu/thompson/Genepi/MORGAN/Morgan.shtml).

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Figures

Figure 1
Figure 1
A pedigree with 18 individuals: each data set of our simulation study consists of 10 such pedigrees. Trait and marker data are available only on the grand-children. The shaded individuals are the affected individuals in the pedigree. Other individuals among the grandchildren are unaffected.
Figure 2
Figure 2
Power comparison of four linkage detection tests: (a) resimulation-based test, (b) fuzzy p-value test (c) permutation test, and (d) conservative Kruglyak-Lander test.
Figure 3
Figure 3
Power to detect linkage under marker model misspecification for the resimulation-based test (a), fuzzy p-value approach (b) and permutation test (c). The solid line in each graph shows the power to detect linkage at recombination fractions 0,.05, .1,.2,.5 between the marker locus and the trait locus under the correct marker allele frequencies (.4, .3, .2, .1). The dashed line in each graph shows the power at different recombination fractions when the marker allele frequencies were misspecified as (.25,.25,.25,.25). The dotted line shows the power at different recombination fractions when the marker allele frequencies were misspecified as (.1, .2, .3, .4).

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