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QTL Mapping Under Ascertainment
Author(s) -
Peng J.,
Siegmund D.
Publication year - 2006
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 - 10.1111/j.1469-1809.2006.00286.x
Subject(s) - normality , estimator , statistics , quantitative trait locus , mathematics , variance (accounting) , trait , standard error , econometrics , asymptotic distribution , maximum likelihood , nuisance parameter , biology , genetics , computer science , accounting , gene , business , programming language
Summary Mapping quantitative trait loci (QTL) using ascertained sibships is discussed. It is shown that under the standard normality assumption of variance components analysis the efficient scores are unchanged by ascertainment, and two different schemes of ascertainment correction suggested in the literature are asymptotically equivalent. The use of conditional maximum likelihood estimators derived under the normality assumption to estimate nuisance parameters is shown to result in only a small loss of power compared to the case of known parameters, even when the distribution of phenotypes is non‐normal and/or the ascertainment criterion is ill defined.