Table 2.
Proportions of AIMs among three ancestral populations
| # of AIMs | African | East Asian | European |
|---|---|---|---|
| 10 | 4 (40%) | 2 (20%) | 4 (40%) |
| 50 | 20 (40%) | 12 (24%) | 18 (36%) |
| 100 | 40 (40%) | 28 (28%) | 32 (32%) |
| 250 | 90 (36%) | 80 (32%) | 80 (32%) |
| 500 | 172 (34%) | 165 (33%) | 163 (33%) |
| 750 | 256 (34%) | 265 (35%) | 229 (31%) |
| 1000 | 329 (33%) | 355 (36%) | 316 (32%) |
| 2000 | 616 (31%) | 763 (38%) | 621 (31%) |
| 3000 | 920 (31%) | 1124 (38%) | 956 (32%) |
| 4000 | 1251 (31%) | 1488 (37%) | 1261 (32%) |
| 5000 | 1582 (32%) | 1810 (36%) | 1608 (32%) |
AIMs are determined by AIM_generator.py script. We examined AF of each population for each AIM to assign the SNP to the dominant population (presented as the number of SNPs and percentage in each AIM panels). Note that larger AIM panels are not necessary contain markers in smaller panels due to the requirement of balancing number of markers in 3 populations