Likelihood-ratio affected sib-pair tests applied to multiply affected sibships: Issues of power and type I error rate

Authors
Citation
P. Holmans, Likelihood-ratio affected sib-pair tests applied to multiply affected sibships: Issues of power and type I error rate, GENET EPID, 20(1), 2001, pp. 44-56
Citations number
18
Categorie Soggetti
Molecular Biology & Genetics
Journal title
GENETIC EPIDEMIOLOGY
ISSN journal
07410395 → ACNP
Volume
20
Issue
1
Year of publication
2001
Pages
44 - 56
Database
ISI
SICI code
0741-0395(200101)20:1<44:LASTAT>2.0.ZU;2-E
Abstract
"All-pairs" Likelihood-ratio analyses, such as those performed by MAPMAKER/ SIBS [Kruglyak and Lander, 1995], require that a sibship containing N affe cted siblings be split into N(N - 1)/2 sibships, each containing a differen t pair of affected sibs, before analysis. Each of these N(N - 1)/2 sibships may also contain the other affected sibs from the original sibship, coded as unaffected, to infer missing parental genotypes, as is done automaticall y in MAPMAKER/SIBS. Then, the use of the same individuals bath as affecteds to test for linkage and, elsewhere, as unaffecteds to infer missing parent al genotypes leads to negative correlations in the estimated identity by de scent sharing among affected pairs from the same original multiplex sibship . This gives a conservative test of linkage, even when no downweighting is applied. Conversely if the other affected sibs from the original sibship ar e omitted, the correlations are positive and the linkage test is anticonser vative in the absence of weighting. True type I error probability also depe nds on marker informativity, typed parents, number of affected sibs include d in the analysis, and the weighting scheme. This suggests the use of simul ation, rather than asymptotic theory, to assess significance levels. The po wer of multiplex sibships relative to affected pairs increases with increas ing phenocopy percentage, but the presence of typed unaffected sibs improve s the relative power of multiplex sibships greatly only when penetrance is high. It was found that the 2/N weighting proposed by Suarez and Hodge [197 9] increased power over an unweighted analysis in many situations, provided significance levels were adjusted appropriately by simulation, Genet. Epid emiol. 20:44-56, 2001. (C) 2001 Wiley-Liss, Inc.