Univariate AnalysisHGEN619 class 2007Univariate Genetic Analysis Saturated Models Free variances, covariances Free means Univariate Models Variances partitioned in a, c/d and e Free means (or not)Standard Univariate ModelP1P2A1 A2C1 C2E1 E21.0 (MZ) / .5 (DZ) 1.01.01.01.01.0 1.01.0x xy yzzVar(P) = x2+y2+z2Univariate Model ResultsP1P2A1 A2D1 D2E1 E21.0 (MZ) / .5 (DZ) 1.0 (MZ)/.25 (DZ)1.01.01.01.0 1.01.0.5590.5433-.4115.5590.5433-.4115Tests ACE model Is a significant ? -> CE model Is c significant ? -> AE model Is there significant family resemblance ?-> E model ADE modelSubmodels: ozbmifyaces2.mxMatrix /ModelX (a) Y (c) Z (e) W (d) CovNPMeanNPNP Sat DFSat # 6 4 10ADE $ Free Free Free 4 7 10# 3AE Free Free Drop 4 6 7 $ 1ACE & Free Free Free 4 7 10# 3CE Drop Free Free 4 6 7 & 1E Drop Free 4 5 7 & 2Goodness-of-Fit-2LL dfχ2ΔΔdf pSatADEAEACECEEParameter Estimatesa c e d
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