| Population | Phenotype Frequency (%)
 | Allele Frequency
 (in_decimals)
 | Sample Size
 | IMGT/HLA¹ Database
 | Distribution² | Haplotype³ Association
 | Notesª | 
					
|  | China Yunnan Province Han pop 2 |  | 0.1790 |  | 129 | See |  |  |  | 
					
|  | Taiwan Chinese immigrants from South China |  | 0.1720 |  | 172 | See |  |  |  | 
					
|  | Taiwan Hakka pop 2 |  | 0.1560 |  | 714 | See |  |  |  | 
					
|  | Taiwan Chinese immigrants from Middle China |  | 0.1500 |  | 211 | See |  |  |  | 
					
|  | Taiwan Minnan pop 2 |  | 0.1460 |  | 7137 | See |  |  |  | 
					
|  | Taiwan Minnan and Hakka |  | 0.1360 |  | 190 | See |  |  |  | 
					
|  | China Wuhan | 26.7 | 0.1350 |  | 121 | See |  |  |  | 
					
|  | Thailand pop 4 |  | 0.1320 |  | 16807 | See |  |  |  | 
					
|  | China Guangdong Province | 24.6 | 0.1316 |  | 403 | See |  |  |  | 
					
|  | China Shanghai |  | 0.1120 |  | 26266 | See |  |  |  | 
					
|  | Vietnam Hanoi |  | 0.1100 |  | 50 | See |  |  |  | 
					
|  | China Jiangsu Province |  | 0.0940 |  | 20248 | See |  |  |  | 
					
|  | Taiwan Chinese immigrants from North China |  | 0.0860 |  | 152 | See |  |  |  | 
					
|  | China Shaanxi Province Han |  | 0.0790 |  | 10000 | See |  |  |  | 
					
|  | Japan Aichi | 15.2 | 0.0760 |  | 50 | See |  |  |  | 
					
|  | Myanmar Shan | 13.0 | 0.0648 |  | 54 | See |  |  |   | 
					
|  | Japan Kyoto and Osaka |  | 0.0640 |  | 165 | See |  |  |  | 
					
|  | USA OPTN Asian |  | 0.0620 |  | 261 | See |  |  |  | 
					
|  | China Yunnan Province Naxi |  | 0.0610 |  | 118 | See |  |  |  | 
					
|  | China Shandong Province | 10.9 | 0.0560 |  | 7418 | See |  |  |  | 
					
|  | Brazil Parana Japanese | 10.0 | 0.0521 |  | 192 | See |  |  |   | 
					
|  | Japan Hyogo Osaka and Nagano |  | 0.0510 |  | 195 | See |  |  |  | 
					
|  | South Korea pop 8 |  | 0.0490 |  | 7096 | See |  |  |  | 
					
|  | Japan Hyogo | 9.4 | 0.0470 |  | 32 | See |  |  |  | 
					
|  | Myanmar Mon | 9.4 | 0.0469 |  | 64 | See |  |  |   | 
					
|  | South Korea pop 1 |  | 0.0460 |  | 324 | See |  |  |  | 
					
|  | Myanmar Bamar | 8.7 | 0.0435 |  | 46 | See |  |  |   | 
					
|  | Japan pop 2 |  | 0.0410 |  | 916 | See |  |  |  | 
					
|  | China Harbin Manchu |  | 0.0410 |  | 172 | See |  |  |  | 
					
|  | Japan Tohoku Region |  | 0.0390 |  | 322 | See |  |  |  | 
					
|  | Japan pop 11 | 6.5 | 0.0330 |  | 62 | See |  |  |  | 
					
|  | China Shandong Province Linqu County | 6.5 | 0.0330 |  | 139 | See |  |  |  | 
					
|  | Russia, South Ural, Chelyabinsk region, Nagaybaks | 5.4 | 0.0270 |  | 112 | See |  |  |   | 
					
|  | Malaysia pop 2 |  | 0.0260 |  | 62 | See |  |  |  | 
					
|  | Malaysia Sabah Kadazan |  | 0.0260 |  | 57 | See |  |  |  | 
					
|  | Russia South Ural Bashkir | 4.8 | 0.0240 |  | 146 | See |  |  |  | 
					
|  | Malaysia Perak Rawa |  | 0.0200 |  | 23 | See |  |  |  | 
					
|  | Malaysia pop 3 |  | 0.0190 |  | 1445 | See |  |  |  | 
					
|  | Russia Sakhalin Island Nivkhi |  | 0.0190 |  | 53 | See |  |  |  | 
					
|  | Mongolia Oold |  | 0.0190 |  | 104 | See |  |  |  | 
					
|  | China Harbin Korean |  | 0.0170 |  | 201 | See |  |  |  | 
					
|  | Mexico Jalisco, Tonala |  | 0.0143 |  | 35 | See |  |  |   | 
					
|  | Iraq Arabs | 2.7 | 0.0134 |  | 149 | See |  |  |   | 
					
|  | Macedonia MBMDR - Macedonian Muslims | 2.6 | 0.0132 |  | 76 | See |  |  |   | 
					
|  | Mexico Hidalgo, Pachuca |  | 0.0122 |  | 41 | See |  |  |   | 
					
|  | Mongolia Ulaanbaatar Khalkha |  | 0.0120 |  | 41 | See |  |  |  | 
					
|  | Russia South Ural Tatar | 2.2 | 0.0110 |  | 135 | See |  |  |  | 
					
|  | Malaysia Negeri Sembilan Minangkabau |  | 0.0100 |  | 34 | See |  |  |  | 
					
|  | Philippines National Capital Region |  | 0.0100 |  | 51 | See |  |  |   | 
					
|  | Mexico Mexico City South |  | 0.0096 |  | 52 | See |  |  |   | 
					
|  | Myanmar Kayah | 1.8 | 0.0091 |  | 55 | See |  |  |   | 
					
|  | Taiwan Aborigine |  | 0.0090 |  | 111 | See |  |  |  | 
					
|  | Brazil Curitiba-Parana Mixed |  | 0.0082 |  | 264 | See |  |  |  | 
					
|  | Myanmar Kachin | 1.6 | 0.0079 |  | 63 | See |  |  |   | 
					
|  | Russia Transbaikal Territory Buryats | 1.0 | 0.0070 |  | 150 | See |  |  |   | 
					
|  | Armenia Shirak |  | 0.0070 |  | 76 | See |  |  |  | 
					
|  | Russia Tatars |  | 0.0056 |  | 355 | See |  |  |  | 
					
|  | Mongolia Khalkha pop 2 |  | 0.0050 |  | 202 | See |  |  |  | 
					
|  | Mongolia Khalkha |  | 0.0050 |  | 200 | See |  |  |  | 
					
|  | Pakistan Brahui |  | 0.0050 |  | 104 | See |  |  |  | 
					
|  | Russia Northwest pop  3 | 1.0 | 0.0050 |  | 100 | See |  |  |  | 
					
|  | Brazil Belem Mixed | 1.0 | 0.0050 |  | 100 | See |  |  |  | 
					
|  | Bosnia and Herzegovina pop 2 | 0.8 | 0.0042 |  | 120 | See |  |  |  | 
					
|  | Turkey pop 5 |  | 0.0040 |  | 142 | See |  |  |  | 
					
|  | Greece pop3 | 0.8 | 0.0040 |  | 246 | See |  |  |  | 
					
|  | Mexico Mexico City Metropolitan Area Rural |  | 0.0033 |  | 150 | See |  |  |   | 
					
|  | Mexico Mexico City Center |  | 0.0032 |  | 152 | See |  |  |   | 
					
|  | Peru Arequipa Mestizo | 0.7 | 0.0030 |  | 168 | See |  |  |  | 
					
|  | Russia Samara Region |  | 0.0030 |  | 2500 | See |  |  |  | 
					
|  | Saudi Arabia pop 2 |  | 0.0030 |  | 383 | See |  |  |  | 
					
|  | Bangladesh Dhaka Bangalee |  | 0.0030 |  | 141 | See |  |  |  | 
					
|  | India North Gujarat | 0.6 | 0.0030 |  | 338 | See |  |  |  | 
					
|  | Italy pop 6 | 0.5 | 0.0027 |  | 184 | See |  |  |  | 
					
|  | France Marseille | 0.5 | 0.0026 |  | 1000 | See |  |  |  | 
					
|  | Sweden pop 4 | 0.3 | 0.0021 |  | 966 | See |  |  |  | 
					
|  | Russia Moscow |  | 0.0020 |  | 2650 | See |  |  |  | 
					
|  | Iran Royan Cord Blood Bank | 0.4 | 0.0020 |  | 15600 | See |  |  |  | 
					
|  | Brazil Parana Cafuzo | 0.3 | 0.0020 |  | 319 | See |  |  |  | 
					
|  | Serbia |  | 0.0020 |  | 386 | See |  |  |  | 
					
|  | Russia Moscow Pop 2 | 0.4 | 0.0018 |  | 2000 | See |  |  |  | 
					
|  | Mexico Jalisco Rural |  | 0.0017 |  | 585 | See |  |  |   | 
					
|  | Mexico Puebla, Puebla city |  | 0.0010 |  | 1994 | See |  |  |   | 
					
|  | Brazil South East Cord Blood |  | 0.0010 |  | 11409 | See |  |  |   | 
					
|  | Mexico Oaxaca Rural |  | 0.0010 |  | 485 | See |  |  |   | 
					
|  | Romania | 0.3 | 0.0010 |  | 348 | See |  |  |  | 
					
|  | Australia West Caucasian | 0.1 | 0.0010 |  | 891 | See |  |  |  | 
					
|  | Brazil Rio Grande do Norte Mestizo |  | 0.0010 |  | 12973 | See |  |  |  | 
					
|  | Wales pop 2 | 0.1 | 0.0010 |  | 39979 | See |  |  |  | 
					
|  | France Bordeaux | 0.2 | 0.0010 |  | 990 | See |  |  |  | 
					
|  | USA OPTN Hispanic |  | 0.0010 |  | 1580 | See |  |  |  | 
					
|  | Portugal Portalegre |  | 0.0010 |  | 1254 | See |  |  |  | 
					
|  | Brazil REDOME Parana |  | 0.0008 |  | 341639 | See |  |  |  | 
					
|  | Brazil REDOME Sao Paulo |  | 0.0007 |  | 800809 | See |  |  |  | 
					
|  | Norway  ethnic Norwegians | 0.1 | 0.0006 |  | 4510 | See |  |  |   | 
					
|  | Mexico Tlaxcala Rural |  | 0.0006 |  | 830 | See |  |  |   | 
					
|  | Iran pop 4 |  | 0.0006 |  | 855 | See |  |  |   | 
					
|  | Brazil REDOME Mato Grosso do Sul |  | 0.0005 |  | 95667 | See |  |  |  | 
					
|  | France Rennes pop 4 | 0.1 | 0.0005 |  | 1000 | See |  |  |  | 
					
|  | France Lyon | 0.1 | 0.0005 |  | 4813 | See |  |  |  | 
					
|  | Germany | 0.1 | 0.0005 |  | 11407 | See |  |  |  | 
					
|  | Brazil REDOME Alagoas |  | 0.0004 |  | 25349 | See |  |  |  | 
					
|  | Brazil REDOME Sergipe |  | 0.0004 |  | 7321 | See |  |  |  | 
					
|  | Macedonia MBMDR - Macedonian | 0.1 | 0.0004 |  | 1283 | See |  |  |   | 
					
|  | Brazil REDOME Tocantins |  | 0.0003 |  | 20692 | See |  |  |  | 
					
|  | Brazil REDOME Rio Grande do Norte |  | 0.0003 |  | 46603 | See |  |  |  | 
					
|  | Brazil REDOME Federal District |  | 0.0003 |  | 29549 | See |  |  |  | 
					
|  | Brazil REDOME Maranhao |  | 0.0003 |  | 10180 | See |  |  |  | 
					
|  | Brazil REDOME Mato Grosso |  | 0.0003 |  | 34649 | See |  |  |  | 
					
|  | Romania pop 3 | 0.1 | 0.0003 |  | 1469 | See |  |  |  | 
					
|  | Serbia pop 3 | 0.1 | 0.0003 |  | 1992 | See |  |  |  | 
					
|  | Slovakia pop 2 |  | 0.0003 |  | 4234 | See |  |  |  | 
					
|  | Poland pop 3 | 0.0 | 0.0002 |  | 2907 | See |  |  |  | 
					
|  | Brazil REDOME Bahia |  | 0.0002 |  | 47399 | See |  |  |  | 
					
|  | Brazil REDOME Minas Gerais |  | 0.0002 |  | 211275 | See |  |  |  | 
					
|  | Brazil REDOME Para |  | 0.0002 |  | 72637 | See |  |  |  | 
					
|  | Brazil REDOME Paraiba |  | 0.0002 |  | 43868 | See |  |  |  | 
					
|  | Brazil REDOME Pernambuco |  | 0.0002 |  | 92332 | See |  |  |  | 
					
|  | Brazil REDOME Rio de Janeiro |  | 0.0002 |  | 139322 | See |  |  |  | 
					
|  | Brazil REDOME Roraima |  | 0.0002 |  | 4140 | See |  |  |  | 
					
|  | Brazil REDOME Rondonia |  | 0.0002 |  | 54396 | See |  |  |  | 
					
|  | Brazil REDOME Santa Catarina |  | 0.0002 |  | 106673 | See |  |  |  | 
					
|  | Brazil REDOME Goias |  | 0.0002 |  | 88574 | See |  |  |  | 
					
|  | Brazil Para State | 0.0 | 0.0002 |  | 5000 | See |  |  |   | 
					
|  | Brazil REDOME Rio Grande do Sul |  | 0.0001 |  | 241329 | See |  |  |  | 
					
|  | Brazil REDOME Piaui |  | 0.0001 |  | 46140 | See |  |  |  | 
					
|  | Brazil Rio Grande do Sul Caucasoid |  | 0.0001 |  | 4428 | See |  |  |  | 
					
|  | Brazil REDOME Espirito Santo |  | 0.0001 |  | 88485 | See |  |  |  | 
					
|  | Brazil REDOME Ceara |  | 0.0001 |  | 101217 | See |  |  |  | 
					
|  | Brazil REDOME Amazonas |  | 0.0001 |  | 24129 | See |  |  |  | 
					
|  | Brazil REDOME Amapa |  | 0.0001 |  | 17864 | See |  |  |  | 
					
|  | Greece pop 7 |  | 0.0001 |  | 11250 | See |  |  |  | 
					
|  | Italy |  | 0.0001 |  | 159311 | See |  |  |  | 
					
|  | Russia Nenet Mixed |  | 0.0000 |  | 55 | See |  |  |  | 
					
|  | Russia Arkhangelsk Pomor |  | 0.0000 |  | 63 | See |  |  |  | 
					
|  | Russia Murmansk Saomi Mixed |  | 0.0000 |  | 70 | See |  |  |  | 
					
|  | Portugal North |  | 0.0000 |  | 46 | See |  |  |  | 
					
|  | Argentina La Plata | 0.0 | 0.0000 |  | 100 | See |  |  |  | 
					
|  | Argentina Chiriguano | 0.0 | 0.0000 |  | 54 | See |  |  |  | 
					
|  | Argentina Salta Wichi pop 2 | 0.0 | 0.0000 |  | 19 | See |  |  |  | 
					
|  | Spain Majorca |  | 0.0000 |  | 407 | See |  |  |  | 
					
|  | Spain Minorca |  | 0.0000 |  | 94 | See |  |  |  | 
					
|  | Spain Ibiza |  | 0.0000 |  | 88 | See |  |  |  | 
					
|  | Spain Majorcans Jews |  | 0.0000 |  | 103 | See |  |  |  | 
					
|  | Spain Murcia |  | 0.0000 |  | 173 | See |  |  |  | 
					
|  | Croatia |  | 0.0000 |  | 150 | See |  |  |  | 
					
|  | South Africa Natal Zulu | 0.0 | 0.0000 |  | 100 | See |  |  |  | 
					
|  | Italy Rome | 0.0 | 0.0000 |  | 100 | See |  |  |  | 
					
|  | Italy North pop 3 | 0.0 | 0.0000 |  | 97 | See |  |  |  | 
					
|  | Italy Bergamo | 0.0 | 0.0000 |  | 101 | See |  |  |  | 
					
|  | Brazil Sao Paulo Mixed | 0.0 | 0.0000 |  | 239 | See |  |  |  | 
					
|  | Greece North |  | 0.0000 |  | 500 | See |  |  |  | 
					
|  | Wales | 0.0 | 0.0000 |  | 1798 | See |  |  |  | 
					
|  | Mongolia Tsaatan |  | 0.0000 |  | 144 | See |  |  |  | 
					
|  | France Southeast | 0.0 | 0.0000 |  | 130 | See |  |  |  | 
					
|  | USA Caucasian Bethesda | 0.0 | 0.0000 |  | 307 | See |  |  |  | 
					
|  | USA African American Bethesda | 0.0 | 0.0000 |  | 187 | See |  |  |  | 
					
|  | Macedonia pop 4 |  | 0.0000 |  | 216 | See |  |  |  | 
					
|  | Pakistan Burusho |  | 0.0000 |  | 92 | See |  |  |  | 
					
|  | Pakistan Kalash |  | 0.0000 |  | 69 | See |  |  |  | 
					
|  | Pakistan Mixed Pathan |  | 0.0000 |  | 100 | See |  |  |  | 
					
|  | Pakistan Mixed Sindhi |  | 0.0000 |  | 101 | See |  |  |  | 
					
|  | Pakistan Baloch |  | 0.0000 |  | 66 | See |  |  |  | 
					
|  | Argentina Cuyo Region | 0.0 | 0.0000 |  | 420 | See |  |  |  | 
					
|  | USA OPTN African American |  | 0.0000 |  | 1510 | See |  |  |  | 
					
|  | Brazil Parana Mixed race | 0.0 | 0.0000 |  | 186 | See |  |  |  | 
					
|  | Brazil Parana Afro Brazilian | 0.0 | 0.0000 |  | 77 | See |  |  |  | 
					
|  | Brazil Parana Oriental | 0.0 | 0.0000 |  | 33 | See |  |  |  | 
					
|  | China North Han |  | 0.0000 |  | 105 | See |  |  |  | 
					
|  | Portugal South pop 2 |  | 0.0000 |  | 1021 | See |  |  |  | 
					
|  | Pakistan Karachi Parsi |  | 0.0000 |  | 91 | See |  |  |  | 
					
|  | England Leeds | 0.0 | 0.0000 |  | 5024 | See |  |  |  | 
					
|  | Croatia pop 2 |  | 0.0000 |  | 100 | See |  |  |  | 
					
|  | Argentina Buenos Aires pop 2 | 0.1 | 0.0000 |  | 1216 | See |  |  |  | 
					
|  | Mongolia Tarialan Khoton |  | 0.0000 |  | 85 | See |  |  |  | 
					
|  | Italy South Campania Region | 0.0 | 0.0000 |  | 1089 | See |  |  |  | 
					
|  | Brazil Parana Caucasian | 0.0 | 0.0000 |  | 2775 | See |  |  |  | 
					
|  | Ireland South pop 2 |  | 0.0000 |  | 17624 | See |  |  |  | 
					
|  | Morocco pop 2 |  | 0.0000 |  | 110 | See |  |  |  | 
					
|  | Argentina Corrientes | 0.0 | 0.0000 |  | 155 | See |  |  |  | 
					
|  | Brazil Piaui Mixed |  | 0.0000 |  | 21943 | See |  |  |  | 
					
|  | Jordan |  | 0.0000 |  | 15141 | See |  |  |  | 
					
|  | Mexico Mexico City Mestizo |  | 0.0000 |  | 121 | See |  |  |  | 
					
|  | Mexico Puebla Mestizo |  | 0.0000 |  | 99 | See |  |  |  | 
					
|  | Mexico Sinaloa Mestizo |  | 0.0000 |  | 56 | See |  |  |  | 
					
|  | Russia Northwest pop 2 | 0.0 | 0.0000 |  | 346 | See |  |  |  | 
					
|  | Russia South Ural Russian | 0.0 | 0.0000 |  | 207 | See |  |  |  | 
					
|  | United Arab Emirates pop 2 | 0.0 | 0.0000 |  | 373 | See |  |  |  | 
					
|  | Portugal Porto |  | 0.0000 |  | 7937 | See |  |  |  | 
					
|  | Portugal Santarem |  | 0.0000 |  | 3865 | See |  |  |  | 
					
|  | Portugal Setubal |  | 0.0000 |  | 5268 | See |  |  |  | 
					
|  | Portugal Viana do Castelo |  | 0.0000 |  | 706 | See |  |  |  | 
					
|  | Portugal Vila Real |  | 0.0000 |  | 1167 | See |  |  |  | 
					
|  | Portugal Viseu |  | 0.0000 |  | 2915 | See |  |  |  | 
					
|  | Azores |  | 0.0000 |  | 1050 | See |  |  |  | 
					
|  | Madeira pop 3 |  | 0.0000 |  | 538 | See |  |  |  | 
					
|  | Malaysia Perak and Johor Banjar Bugis Jawa |  | 0.0000 |  | 94 | See |  |  |  | 
					
|  | Tanzania Dodoma Kongwa |  | 0.0000 |  | 212 | See |  |  |  | 
					
|  | Bosnia and Herzegovina |  | 0.0000 |  | 134 | See |  |  |  | 
					
|  | USA OPTN Caucasian |  | 0.0000 |  | 8525 | See |  |  |  | 
					
|  | Portugal Aveiro |  | 0.0000 |  | 5933 | See |  |  |  | 
					
|  | Portugal Beja |  | 0.0000 |  | 699 | See |  |  |  | 
					
|  | Portugal Braga |  | 0.0000 |  | 1971 | See |  |  |  | 
					
|  | Portugal Bragança |  | 0.0000 |  | 301 | See |  |  |  | 
					
|  | Portugal Castelo Branco |  | 0.0000 |  | 327 | See |  |  |  | 
					
|  | Portugal Coimbra |  | 0.0000 |  | 5057 | See |  |  |  | 
					
|  | Portugal Evora |  | 0.0000 |  | 737 | See |  |  |  | 
					
|  | Portugal Faro |  | 0.0000 |  | 1242 | See |  |  |  | 
					
|  | Portugal Guarda |  | 0.0000 |  | 797 | See |  |  |  | 
					
|  | Portugal Leiria |  | 0.0000 |  | 1847 | See |  |  |  | 
					
|  | Portugal Lisbon |  | 0.0000 |  | 17420 | See |  |  |  | 
					
|  | Brazil Sao Paulo Bauru Mixed |  | 0.0000 |  | 3542 | See |  |  |  | 
					
|  | United Kingdom South West |  | 0.0000 |  | 163 | See |  |  |  | 
					
|  | Ecuador Coast Mixed Ancestry |  | 0.0000 |  | 238 | See |  |  |   | 
					
|  | Ecuador Amazonia Mixed Ancestry |  | 0.0000 |  | 39 | See |  |  |   | 
					
|  | Mexico Quintana Roo, Cancun |  | 0.0000 |  | 48 | See |  |  |   | 
					
|  | Mexico Mexico City West |  | 0.0000 |  | 33 | See |  |  |   | 
					
|  | Mexico Yucatan, Merida |  | 0.0000 |  | 192 | See |  |  |   | 
					
|  | Mexico Campeche, Campeche city |  | 0.0000 |  | 34 | See |  |  |   | 
					
|  | Mexico Chiapas, Tuxtla Gutierrez |  | 0.0000 |  | 52 | See |  |  |   | 
					
|  | Mexico Tabasco, Villahermosa |  | 0.0000 |  | 82 | See |  |  |   | 
					
|  | Mexico Morelos, Cuernavaca |  | 0.0000 |  | 82 | See |  |  |   | 
					
|  | Mexico Oaxaca, Oaxaca city |  | 0.0000 |  | 151 | See |  |  |   | 
					
|  | Mexico Guerrero state |  | 0.0000 |  | 144 | See |  |  |   | 
					
|  | Mexico Veracruz, Xalapa |  | 0.0000 |  | 187 | See |  |  |   | 
					
|  | Mexico Veracruz, Veracruz city |  | 0.0000 |  | 171 | See |  |  |   | 
					
|  | Mexico Veracruz, Poza Rica |  | 0.0000 |  | 45 | See |  |  |   | 
					
|  | Mexico Veracruz, Cordoba |  | 0.0000 |  | 56 | See |  |  |   | 
					
|  | Mexico Veracruz, Orizaba |  | 0.0000 |  | 60 | See |  |  |   | 
					
|  | Mexico Veracruz, Coatzacoalcos |  | 0.0000 |  | 55 | See |  |  |   | 
					
|  | Mexico San Luis Potosi, San Luis Potosi city |  | 0.0000 |  | 30 | See |  |  |   | 
					
|  | Mexico Tamaulipas, Ciudad Victoria |  | 0.0000 |  | 23 | See |  |  |   | 
					
|  | Mexico Queretaro, Queretaro city |  | 0.0000 |  | 45 | See |  |  |   | 
					
|  | Mexico Aguascalientes state |  | 0.0000 |  | 95 | See |  |  |  | 
					
|  | Mexico Nuevo Leon, Monterrey city |  | 0.0000 |  | 226 | See |  |  |   | 
					
|  | Mexico Colima, Colima city |  | 0.0000 |  | 61 | See |  |  |   | 
					
|  | Mexico Guanajuato, Leon |  | 0.0000 |  | 78 | See |  |  |   | 
					
|  | Mexico Guanajuato, Guanajuato city |  | 0.0000 |  | 22 | See |  |  |   | 
					
|  | Mexico Michoacan, Morelia |  | 0.0000 |  | 150 | See |  |  |   | 
					
|  | Mexico Jalisco, Zapopan |  | 0.0000 |  | 168 | See |  |  |   | 
					
|  | Mexico Jalisco, Tlaquepaque |  | 0.0000 |  | 39 | See |  |  |   | 
					
|  | Mexico Jalisco, Tlajomulco |  | 0.0000 |  | 30 | See |  |  |   | 
					
|  | Mexico Jalisco, Guadalajara city |  | 0.0000 |  | 1189 | See |  |  |   | 
					
|  | Mexico Nayarit, Tepic |  | 0.0000 |  | 97 | See |  |  |   | 
					
|  | Mexico Zacatecas, Fresnillo |  | 0.0000 |  | 103 | See |  |  |   | 
					
|  | Mexico Zacatecas, Zacatecas city |  | 0.0000 |  | 84 | See |  |  |   | 
					
|  | Mexico Coahuila, Torreon |  | 0.0000 |  | 396 | See |  |  |   | 
					
|  | Mexico Coahuila, Saltillo |  | 0.0000 |  | 72 | See |  |  |   | 
					
|  | Mexico Durango, Durango city |  | 0.0000 |  | 153 | See |  |  |   | 
					
|  | Mexico Chihuahua, Ciudad Juarez |  | 0.0000 |  | 106 | See |  |  |   | 
					
|  | Mexico Chihuahua Chihuahua City |  | 0.0000 |  | 119 | See |  |  |   | 
					
|  | Mexico Sinaloa, Culiacán |  | 0.0000 |  | 103 | See |  |  |   | 
					
|  | Mexico Sonora, Hermosillo |  | 0.0000 |  | 99 | See |  |  |   | 
					
|  | Mexico Sonora, Ciudad Obregón |  | 0.0000 |  | 143 | See |  |  |   | 
					
|  | Mexico Baja California, La Paz |  | 0.0000 |  | 75 | See |  |  |   | 
					
|  | Mexico Baja Californa, Mexicali |  | 0.0000 |  | 100 | See |  |  |   | 
					
|  | Mexico Baja California Rural |  | 0.0000 |  | 50 | See |  |  |   | 
					
|  | Mexico Sonora Rural |  | 0.0000 |  | 197 | See |  |  |   | 
					
|  | Mexico Sinaloa Rural |  | 0.0000 |  | 183 | See |  |  |   | 
					
|  | Mexico Chihuahua Rural |  | 0.0000 |  | 236 | See |  |  |   | 
					
|  | Mexico Durango Rural |  | 0.0000 |  | 326 | See |  |  |   | 
					
|  | Mexico Coahuila Rural |  | 0.0000 |  | 216 | See |  |  |   | 
					
|  | Mexico Zacatecas Rural |  | 0.0000 |  | 266 | See |  |  |   | 
					
|  | Mexico Nayarit  Rural |  | 0.0000 |  | 64 | See |  |  |   | 
					
|  | Mexico Tlaxcala, Tlaxcala city |  | 0.0000 |  | 181 | See |  |  |   | 
					
|  | Ecuador Andes Mixed Ancestry |  | 0.0000 |  | 824 | See |  |  |   | 
					
|  | Ecuador Mixed Ancestry |  | 0.0000 |  | 1173 | See |  |  |   | 
					
|  | Mexico Michoacan Rural |  | 0.0000 |  | 348 | See |  |  |   | 
					
|  | Mexico Guanajuato Rural |  | 0.0000 |  | 162 | See |  |  |   | 
					
|  | Mexico Colima Rural |  | 0.0000 |  | 43 | See |  |  |   | 
					
|  | Mexico Nuevo Leon Rural |  | 0.0000 |  | 439 | See |  |  |   | 
					
|  | Mexico Queretaro Rural |  | 0.0000 |  | 43 | See |  |  |   | 
					
|  | Mexico Tamaulipas Rural |  | 0.0000 |  | 125 | See |  |  |   | 
					
|  | Mexico San Luis Potosi Rural |  | 0.0000 |  | 87 | See |  |  |   | 
					
|  | Mexico Veracruz Rural |  | 0.0000 |  | 539 | See |  |  |   | 
					
|  | Mexico Hidalgo Rural |  | 0.0000 |  | 81 | See |  |  |   | 
					
|  | Mexico Baja California, Tijuana |  | 0.0000 |  | 25 | See |  |  |   | 
					
|  | Spain, Castilla y Leon, Northwest, | 0.0 | 0.0000 |  | 1743 | See |  |  |   | 
					
|  | Mexico Puebla Rural |  | 0.0000 |  | 833 | See |  |  |   | 
					
|  | Mexico Mexico City North |  | 0.0000 |  | 751 | See |  |  |   | 
					
|  | Mexico Mexico City East |  | 0.0000 |  | 79 | See |  |  |   | 
					
|  | Mexico Morelos Rural |  | 0.0000 |  | 30 | See |  |  |   | 
					
|  | Mexico Tabasco Rural |  | 0.0000 |  | 142 | See |  |  |   | 
					
|  | Mexico Chiapas Rural |  | 0.0000 |  | 121 | See |  |  |   | 
					
|  | Mexico Campeche Rural |  | 0.0000 |  | 47 | See |  |  |   | 
					
|  | Mexico Yucatan Rural |  | 0.0000 |  | 132 | See |  |  |   | 
					
|  | Mexico Quintana Roo Rural |  | 0.0000 |  | 50 | See |  |  |   | 
	
		* Allele Frequency: Total number of copies of the allele in the population sample (Alleles / 2n) in decimal format. 
		   
: This field has been expanded to four decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals) 
		* Phenotype Frequency: Percentage of individuals who have the allele or gene (Individuals / n). 
 were calculated from Phenotype Frequencies assuming Hardy-Weinberg proportions. 
		¹ IMGT/HLA Database - For more details of the allele. 
		² Distribution - Graphical distribution of the allele. 
		³ Haplotype Association - Find HLA haplotypes with this allele.