Table 2. Family-based association analysis of nuclear SNPs with growth traits¹ using the R package GWAF².

SNP	Weight2					Weight3					Weight4
	χ2	DF	P	Model3	h2 q	χ2	DF	P	Model3	h2 q	χ2	DF	P	Model3	h2 q
nuSNP7	233.08	1	1.27E−52**	D	0	81.86	1	1.46E−19**	D	0	12.45	1	0.00041	D	0
nuSNP8	2.38	1	0.12291	D	0	33.25	1	8.10E−09*	D	0	0.56	1	0.4539	D	0
nuSNP12	8.43	2	0.01478	G	0.01	21.21	2	0.00002*	G	0.01	17.27	2	0.00017*	G	0.01
nuSNP20	279.6	1	9.20E−63**	D	0	101.75	1	6.31E−24**	D	0	15.91	1	6.65E−05*	D	0
nuSNP21	245.88	1	2.05E−55**	D	0	101.14	1	8.59E−24**	D	0	12.22	1	0.00047	D	0

¹Body weight was recorded on each animal at approximately 7 (Weight2), 9 (Weight3) and 12 (Weight4) months post-hatching.

²The genome-wide association analysis with family data (GWAF) R package [23] was used in the association analysis. The analyzed sample included 40 full-sib families each with ∼17 progeny. Here, we show the asymptotic P-value for the test statistic distributed as a χ² with 1 and 2 DF for dominant and general model, respectively. The is the proportion of phenotypic variance explained by the tested SNP.

³The general (G) and dominant (D) models had the highest likelihood in the association analysis of Weight2, Weight3 and Weight4.

^**indicates SNPs strongly associated with BW (P-value = 1.5E−19 to 9.2E−63).

^*indicates SNPs with weaker association (P-value = 2.0E−5 to 8.1E−09).