TABLE 1.
Population names, geographic regions, sample sizes, and number of alleles
Sample size (2n)
|
No. of alleles (k)
|
||||||||
---|---|---|---|---|---|---|---|---|---|
Population | Codea | Region | Abbreviation | A | C | B | A | C | B |
Dogon | 1 | Sub-Saharan Africa | SSA | 276 | 258 | 276 | 21 | 19 | 31 |
Kenyan | 2 | Sub-Saharan Africa | SSA | 286 | 224 | 286 | 39 | 25 | 46 |
Shona | 3 | Sub-Saharan Africa | SSA | 450 | 452 | 452 | 30 | 21 | 39 |
Zulu | 4 | Sub-Saharan Africa | SSA | 372 | 196 | 402 | 28 | 18 | 33 |
Czech | 5 | Europe | EUR | 210 | 210 | 212 | 22 | 22 | 33 |
Georgian | 6 | Europe | EUR | 210 | 214 | 216 | 23 | 24 | 42 |
Irish | 7 | Europe | EUR | 1000 | 1000 | 1000 | 22 | 22 | 43 |
Malay | 10 | Southeast Asia | SEA | 248 | 214 | 202 | 24 | 20 | 38 |
Puyuma | 12 | Southeast Asia | SEA | 100 | 100 | 100 | 8 | 8 | 11 |
Saisiat | 13 | Southeast Asia | SEA | 102 | 102 | 102 | 7 | 9 | 9 |
Yami | 14 | Southeast Asia | SEA | 100 | 100 | 100 | 5 | 7 | 8 |
Korean | 15 | Northeast Asia | NEA | 400 | 400 | 400 | 17 | 21 | 37 |
Okinawan | 16 | Northeast Asia | NEA | 210 | 210 | 208 | 11 | 12 | 20 |
Tuva | 17 | Northeast Asia | NEA | 378 | 348 | 360 | 31 | 25 | 52 |
Filipino | 19 | Oceania | OCE | 188 | 188 | 188 | 16 | 19 | 35 |
Ivatan | 20 | Oceania | OCE | 100 | 100 | 100 | 7 | 10 | 16 |
Yuendumu | 25 | Australia | AUS | 382 | 384 | 386 | 10 | 8 | 11 |
Mixe | 27 | North America | NAM | 102 | 102 | 102 | 8 | 8 | 12 |
Yupik | 28 | North America | NAM | 504 | 298 | 504 | 16 | 17 | 21 |
Guarani–Nandewa | 31 | South America | SAM | 104 | 104 | 106 | 12 | 8 | 30 |
Population | Codea | Region | Abbreviation | DRB1 | DQB1 | DPB1 | DRB1 | DQB1 | DPB1 |
---|---|---|---|---|---|---|---|---|---|
Shona | 3 | Sub-Saharan Africa | SSA | 458 | 458 | 456 | 26 | 15 | 19 |
Zulu | 4 | Sub-Saharan Africa | SSA | 176 | 174 | 174 | 24 | 9 | 14 |
Czech | 5 | Europe | EUR | 206 | 212 | 204 | 30 | 13 | 17 |
Slovenian | 8 | Europe | EUR | 200 | 200 | 200 | 25 | 14 | 15 |
Kinh | 9 | Southeast Asia | SEA | 204 | 200 | 0 | 24 | 12 | 0 |
Malay | 10 | Southeast Asia | SEA | 108 | 110 | 104 | 20 | 12 | 19 |
Muong | 11 | Southeast Asia | SEA | 166 | 164 | 0 | 17 | 14 | 0 |
East Timorese | 18 | Oceania | OCE | 166 | 172 | 172 | 18 | 10 | 9 |
Moluccan | 21 | Oceania | OCE | 80 | 92 | 92 | 11 | 9 | 11 |
PNG Lowlander | 22 | Oceania | OCE | 160 | 182 | 0 | 5 | 9 | 0 |
Cape York | 23 | Australia | AUS | 198 | 198 | 192 | 22 | 12 | 10 |
Kimberley | 24 | Australia | AUS | 82 | 82 | 76 | 12 | 6 | 5 |
Canoncito | 26 | North America | NAM | 80 | 80 | 80 | 8 | 6 | 6 |
Mixe | 27 | North America | NAM | 102 | 102 | 102 | 9 | 4 | 4 |
Zuni | 29 | North America | NAM | 100 | 100 | 100 | 9 | 6 | 4 |
Central America | 30 | South America | SAM | 100 | 100 | 100 | 11 | 3 | 7 |
Guarani–Nandewa | 31 | South America | SAM | 106 | 106 | 0 | 18 | 6 | 0 |
The population numbers are used to indicate the geographic location of each sample in Figure 1.