Genome-wide associations, polygenic risk, and Mendelian randomization reveal limited interactions between John Henryism and cynicism

Table 1 Breakdown of samples by dichotomous traits, n (%)

	John Henryism	Cynicism	Cynical distrust
Training high	877 (47.4)	724 (39.1)	680 (36.7)
Training not high	975	1128	1172
Case:Control ratio	1:1.1	1:1.6	1:1.7
Minimum EAF, %	14.5	15.7	16.0
Validation high	246 (52.9)	180 (38.7)	171 (36.8)
Validation not high	219	285	294

EAF: Effect allele frequency.

Table 2 Area under the curve values for ML-based polygenic risk algorithms

Input vs output pair	Ridge	MLP	RFC	KNN
JH vs JH	0.524	0.542	0.545	0.550
JH vs cynicism	0.638	0.634	0.649	0.660
JH vs CD	0.653	0.656	0.651	0.630
Cynicism vs JH	0.482	0.533	0.565	0.563
Cynicism vs cynicism	0.732	0.728	0.696	0.712
Cynicism vs CD	0.681	0.676	0.671	0.684
CD vs JH	0.526	0.545	0.546	0.563
CD vs cynicism	0.563	0.556	0.577	0.580
CD vs CD	0.516	0.516	0.526	0.533

JH: John Henryism; CD: Cynical distrust; MLP: Multi-layer perceptron; RFC: Random forest classifier; KNN: K-nearest neighbors. Bold values are the greatest area under the receiver operator characteristic curve for the input-output pairing.