Table 2.

Main effects of polygenic scores on victimisation at 13 years (i.e. gene-environment correlation)

PT	Main effects of depression-polygenic scoresa			Main effects of wellbeing-polygenic scoresa
	Beta (CI)	P	ΔR2	Beta (CI)	P	ΔR2
5 × 108	0.095 (-0.009, 0.198)	0.073	0.14%	− 0.125 (− 0.230, − 0.020)	0.020	0.24%
1 × 106	0.124 (0.019, 0.228)	0.020	0.24%	− 0.129 (− 0.235, − 0.023)	0.017	0.26%
1 × 104	0.159 (0.053, 0.265)	0.003	0.38%	− 0.171 (− 0.276, − 0.065)	0.002	0.45%
0.001	0.123 (0.017, 0.229)	0.022	0.23%	− 0.116 (− 0.222, − 0.010)	0.032	0.21%
0.01	0.161 (0.058, 0.263)	0.002	0.42%	− 0.128 (− 0.232, − 0.023)	0.017	0.26%
0.1	0.143 (0.041, 0.245)	0.006	0.34%	− 0.097 (− 0.202, 0.008)	0.070	0.15%
0.2	0.161 (0.057, 0.262)	0.002	0.41%	− 0.077 (− 0.182, 0.028)	0.151	0.09%
0.3	0.163 (0.059, 0.266)	0.002	0.42%	− 0.065 (− 0.170, 0.041)	0.228	0.07%
0.4	0.162 (0.058, 0.265)	0.002	0.42%	− 0.057 (− 0.163, 0.049)	0.292	0.05%
0.5	0.159 (0.056, 0.263)	0.003	0.41%	− 0.059 (− 0.165, 0.047)	0.274	0.05%
1	0.157 (0.053, 0.260)	0.003	0.39%	− 0.058 (− 0.163, 0.048)	0.284	0.05%

Text in bold denotes p < 0.05

P^T = p-value threshold of the polygenic score. ΔR² represents the incremental R². This is the percentage of variance explained by the polygenic risk score. The incremental R² was calculated by regressing victimisation on sex and the first two principal components of ancestry, and then including the polygenic scores and comparing the variance explained

^aLinear regression models were used to separately investigate the main effects of the depression-polygenic scores and wellbeing-polygenic scores on victimisation among individuals with complete victimisation and mental health data (n = 2232). To account for possible effects of population stratification, models controlled for two principal components and sex