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The triangle test statistic (TTS): a test of genetic homogeneity using departure from the triangle constraints in IBD distribution among affected sib‐pairs
Author(s) -
DIZIER M. H.,
QUESNEVILLE H.,
PRUM B.,
SELINGERLENEMAN H.,
CLERGETDARPOUX F.
Publication year - 2000
Publication title -
annals of human genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.537
H-Index - 77
eISSN - 1469-1809
pISSN - 0003-4800
DOI - 10.1046/j.1469-1809.2000.6450433.x
Subject(s) - identity by descent , trait , penetrance , linkage (software) , mathematics , homogeneity (statistics) , statistic , genetics , statistics , test statistic , allele , genetic linkage , econometrics , biology , statistical hypothesis testing , computer science , gene , phenotype , haplotype , programming language
The proportions of affected sibs sharing 2, 1 or 0 identical by descent parental marker alleles have been shown to conform to the ‘triangle constraints’ (Suarez, 1978; Holmans, 1993). It has also been shown (Dudoit & Speed, 1999) that the constraints are verified provided certain assumptions hold. In this study we explore a realistic situation in which the constraints fail due to the presence of a factor in which the sibs differ, a factor on which penetrance depends. This factor may be a characteristic of the trait (severe vs. mild form), or the presence/absence of an associated trait or an environmental factor. We show that under such situations, using the triangle constraints may lead to important loss of power to detect linkage by the MLS test. We propose here an alternative approach in order to detect both linkage and heterogeneity.