Table 2. Identified QTSs for cholesterol using full model approach.

Chr_SNP_Alleles	Gene	Effect	Estimate	SE	−log10PEW	h2 (%)
1_rs629301_T/G	CELSR2	a	4.94	0.40	34.47	1.46
2_rs478442_A/C	132 kb 5′ of APOB	a	5.73	0.39	47.61	1.97
		de1	−3.85	0.85	5.23	1.32
		de4	5.40	1.26	4.75
4_rs7694118_C/T	1.8 kb 5′ of PCDH10	d	3.11	0.64	6.01	0.58
		de1	8.31	2.12	5.04	3.18
		de3	−6.08	0.96	9.60
5_rs17409624_G/A	DROSHA	a	2.14	0.45	5.70	0.27
7_rs6465748_G/A	9.6 kb 5′ of MYH16	a	−3.11	0.35	18.43	0.58
		ae3	−4.67	0.68	11.12	1.22
		ae4	4.33	0.71	9.04
8_rs10503377_C/T	139 kb 5′ of SGK223	a	3.16	0.42	13.50	0.60
11_rs10768634_T/C	OR52A1	d	−3.45	0.64	7.19	0.71
11_rs7124873_G/A	10 kb 3′ of MMP13	a	2.57	0.44	8.13	0.40
14_rs10483461_C/T	117 kb 3′ of BRMS1L	a	2.35	0.34	11.05	0.33
		ae3	4.02	0.69	8.17	0.97
15_rs12595211_G/A	ETFA	a	−2.52	0.42	8.51	0.38
16_rs1532625_G/A	CETP	a	−2.85	0.43	10.46	0.49
17_rs2649485_C/T	3.3 kb 5′ of CCDC144B	a	−2.58	0.45	8.12	0.40
19_rs1654452_C/T	RDH13	a	−2.02	0.43	5.64	0.25
2_rs478442_A/C  ×	132 kb 5′ of APOB  ×	aa	2.38	0.46	6.77	0.34
4_rs7694118_C/T	1.8 kb 5′ of PCDH10	da	3.59	0.67	7.09	0.77
7_rs2264802_C/A  ×	SKAP2 × UFM1	aa	−4.71	0.44	26.41	1.33
13_rs9548318_G/A		ad	−6.14	0.86	12.16	2.26
10_rs12246594_A/T  ×	SORCS1 × ETFA	aa	7.46	0.44	13.34	3.34
15_rs12595211_G/A

Chr_SNP_Alleles: chromosome_SNP_major/minor alleles; Gene: the near or holder genes corresponding to QTSs; Effect: genetic effects of QTSs, a = additive effect, d = dominance effect, aa = additive-additive epistasis effect, ad = additive-dominance epistasis effect, da = dominance-additive epistasis effect, ae₃ = A-A specific additive effect, ae₄ = H-A specific additive effect, de₁ = E-A specific dominance effect, de₃ = A-A specific dominance effect, de₄ = H-A specific dominance effect; Estimate: the estimated genetic effects; −log₁₀P_EW: minus log₁₀ (experimental-wise P-value); h² (%) refers heritability in percentage.