Can polygenic risk scores help explain disease prevalence differences around the world? A worldwide investigation

BMC Genomic Data

Table 2 Pearson’s correlations coefficients between average genetic risk for complex disorders (calculated via PRS) and the actual prevalence of the respective disorders in (A) nine European populations and (B) 24 world populations. The values represent the correlation coefficient and p-value based on 1000 permutations (shown in parentheses). The **(*)** indicates an empirical p-value < 0.05, based on 100 random sets

Disorder	(A) Correlation between PRS and prevalence (Europeans only)		(B) Correlation between PRS and prevalence (World Populations)
Disorder	R2	p-value	R2	p-value
CAD	0.78	0.014*	0.07	0.756
AD	0.21	0.591	-0.03	0.896
PD	0.32	0.52	0.56	0.004*
T2D	0.17	0.668	0.63	0.001*
OBY	0.51	0.016*	0.68	0.001*
CKD	-0.04	0.910	-0.31	0.136
CRD	-0.04	0.922	0.58	0.003*
AST	0.38	0.313	0.51	0.011*
T1D	0.54	0.013*	-0.04	0.867
MS	-0.22	0.564	0.69	0.001*
RA	-0.20	0.601	0.21	0.315
BPD	-0.30	0.441	-0.38	0.067
SCZ	-0.32	0.406	0.64	0.001*
MDD	0.50	0.017*	0.65	0.001*

ISSN: 2730-6844