Systems mapping: how to improve the genetic mapping of complex traits through design principles of biological systems

Table 1 The maximum likelihood point estimates (PEs) of ODE parameters and standard errors (SEs) of the estimates for the QTLs detected.

QTL	Model	Genotype	Estimate	α _L	β _L	γ _L	α _S	β _S	α _R	β _R	γ _R
1	M1	QQ	PE	2.09	0.16	0.43	0.93	0.07	1.52	0.66	2.91
			SE	0.02	1e-3	3e-3	0.01	2e-4	0.01	6e-3	0.02
		qq	PE	2.53	0.11	0.36	0.92	0.04	1.57	0.54	3.90
			SE	0.01	4e-4	2e-3	0.01	1e-4	0.01	5e-3	0.01
	M0		PE	2.30	0.13	0.39	0.92	0.05	1.56	0.60	3.37
			SE	0.07	2e-3	0.01	0.02	4e-4	0.05	0.02	0.08
2	M1	QQ	PE	1.89	0.14	0.44	1.04	0.07	1.11	0.56	1.85
			SE	0.04	1e-3	0.01	0.01	1e-4	0.01	5e-3	0.01
		qq	PE	2.55	0.10	0.31	0.98	0.04	1.11	0.51	2.18
			SE	0.04	1e-3	0.01	0.01	4e-4	0.01	5e-3	0.02
	M0		PE	2.25	0.12	0.37	1.03	0.05	1.12	0.55	2.06
			SE	0.08	3e-3	0.02	0.02	6e-4	0.02	0.01	0.05

Model M1 assumes two different genotypes at a QTL (under the H₁), whereas Model M0 assumes a single genotype (under the H₀).
Note: QTL 1 is one between markers GMKF167a and GMKF167b on linkage group 12. QTL 2 is one between markers sat_-274 and BE801128 on linkage group 24. The alleles of genotype QQ are derived from Kefeng No. 1 and those of genotype qq derived from Nannong 1138-2.

ISSN: 1752-0509