Table 4.

Evolution of coronary gene risk scores from 50’s to include millions of SNPs.

Polygenic score	Derivation strategy	N variants	Area under the curve	Odds ratio (per SD increment)
Tada et al.	Variants that achieved genome-wide statistical significance in prior GWAS (p < 5 × 108)	50	0.59	1.38
Abraham et al.	Linkage-equilibrium based thinning of variants from prior GWAS	49,310	0.59	1.38
Pruning strategy (pruning & truncation)	Pruning based on statistical significance (p < 0.05) and linkage disequilibrium (r2 < 0.8) of variants from prior GWAS	116,859	0.62	1.54
Pruning strategy (GWAS)	LDPred computational algorithm to assign weights to all available variants from prior GWAS via explicit modeling of linkage disequilibrium	6,630,150	0.64	1.67