BMC Genomic Data

Table 1 Weighted segregation analysis of intercepts*

From: Segregation and linkage analysis for longitudinal measurements of a quantitative trait

	Hypothesis
			Mendelian
Segregation Parameter	General		Codominant		Dominant		Recessive		Additive		No Major Gene
	Estimate	SE	Estimate	SE	Estimate	SE	Estimate	SE	Estimate	SE	Estimate	SE
Intercept	4.769	0.0078	4.771	0.0072	4.802	0.0052	4.801	0.0051	4.776	0.0065	4.846	0.0041
β_cohort	-0.088	0.0077	-0.092	0.0043	-0.092	0.0046	-0.091	0.0047	-0.092	0.0043	-0.085	0.0049
β_Sex	0.011	0.0046	0.011	0.0046	0.012	0.0046	0.010	0.0047	0.012	0.0046	0.005	0.0049
β_AA	0.288	0.0143	0.283	0.0142	0.165	0.0066	0.167	0.0072	0.269	0.0107	—	—
β_Aa	0.118	0.0076	0.115	0.0078	0.165^A	—	0.000^B	—	0.135^C	—	—	—
q _A	0.323	0.0539	0.305	0.0373	0.139	0.0180	0.511	0.0304	0.257	0.0285	—	—
σ²	0.004	0.0004	0.004	0.0004	0.006	0.0004	0.006	0.0004	0.004	0.0004	0.011	0.0004
τ_aa	0.000	0.0000	0.000^D	—	0.000^D	—	0.000^D	—	0.000^D	—	—	—
τ_Aa	0.476	0.0610	0.500^D	—	0.500^D	—	0.500^D	—	0.500^D	—	—	—
τ_AA	0.935	0.0611	1.000^D	—	1.000^D	—	1.000^D	—	1.000^D	—	—	—
-2(log-likelihood)	-3482.64		-3480.94		-3400.16		-3376.52		-3463.32		-3155.59
p-value^E	—		0.43		< 0.001		< 0.001		< 0.001		< 0.001
AIC^F	-3462.64		-3466.94		-3388.16		-3364.52		-3451.32		-3147.59

*The outcome being modeled in equation (2) is a_ifrom equation (1). ^AConstrained to equal β_AA. ^BConstrained to equal 0. ^C Constrained to equal 1/2 β_AA. ^D Parameter value is fixed. ^Ep-value based on a likelihood ratio test with the general model as the base model.^FAIC = -2(log-likelihood) + 2(number of free parameters).

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