| Population | 
		Phenotype  Frequency (%) | 
		Allele  Frequency  (in_decimals) | 
		Sample  Size | 
		IMGT/HLA¹  Database | 
		Distribution² | 
		Haplotype³ Association | 
		Notesª | 	
	
					
  | Japan Hyogo Osaka and Nagano |  | 0.0260 |   | 195 | See |   |   |  | 
					
  | Japan pop 11 | 4.8 | 0.0243 |   | 62 | See |   |   |  | 
					
  | Trinidad African |  | 0.0200 |   | 67 | See |   |   |  | 
					
  | China Harbin Manchu |  | 0.0170 |   | 172 | See |   |   |  | 
					
  | Japan Hyogo | 3.1 | 0.0160 |   | 32 | See |   |   |  | 
					
  | Cuba Mixed |  | 0.0150 |   | 78 | See |   |   |  | 
					
  | Japan Tohoku Region |  | 0.0140 |   | 322 | See |   |   |  | 
					
  | China Shandong Province | 2.5 | 0.0130 |   | 7418 | See |   |   |  | 
					
  | South Korea pop 1 |  | 0.0120 |   | 324 | See |   |   |  | 
					
  | South Korea pop 8 |  | 0.0110 |   | 7096 | See |   |   |  | 
					
  | Japan Aichi | 2.2 | 0.0110 |   | 50 | See |   |   |  | 
					
  | China Shandong Province Linqu County | 2.2 | 0.0110 |   | 139 | See |   |   |  | 
					
  | Brazil Parana Japanese | 2.0 | 0.0104 |   | 192 | See |   |   | 
						 
 | 
					
  | Sudan Khartoum |  | 0.0102 |   | 98 | See |   |   | 
						 
 | 
					
  | Japan pop 2 |  | 0.0100 |   | 916 | See |   |   |  | 
					
  | Mongolia Oold |  | 0.0100 |   | 104 | See |   |   |  | 
					
  | Japan Kyoto and Osaka |  | 0.0090 |   | 165 | See |   |   |  | 
					
  | China Shaanxi Province Han |  | 0.0080 |   | 10000 | See |   |   |  | 
					
  | China Harbin Korean |  | 0.0080 |   | 201 | See |   |   |  | 
					
  | Mexico Sonora, Ciudad Obregón |  | 0.0070 |   | 143 | See |   |   | 
						 
 | 
					
  | Czech Republic Kurd | 1.4 | 0.0068 |   | 74 | See |   |   |  | 
					
  | China Guangdong Province | 1.2 | 0.0060 |   | 403 | See |   |   |  | 
					
  | China Shanghai |  | 0.0060 |   | 26266 | See |   |   |  | 
					
  | China Jiangsu Province |  | 0.0060 |   | 20248 | See |   |   |  | 
					
  | Spain Arratia Valley Basque |  | 0.0060 |   | 83 | See |   |   |  | 
					
  | Mongolia Tarialan Khoton |  | 0.0060 |   | 85 | See |   |   |  | 
					
  | China Yunnan Province Han pop 2 |  | 0.0050 |   | 129 | See |   |   |  | 
					
  | Mexico Puebla Mestizo |  | 0.0050 |   | 99 | See |   |   |  | 
					
  | Brazil Curitiba-Parana Mixed |  | 0.0041 |   | 264 | See |   |   |  | 
					
  | Turkey pop 5 |  | 0.0040 |   | 142 | See |   |   |  | 
					
  | Azores Terceira Island |  | 0.0040 |   | 130 | See |   |   |  | 
					
  | USA Philadelphia Caucasian | 0.7 | 0.0040 |   | 141 | See |   |   |  | 
					
  | Taiwan Minnan and Hakka |  | 0.0030 |   | 190 | See |   |   |  | 
					
  | Bangladesh Dhaka Bangalee |  | 0.0030 |   | 141 | See |   |   |  | 
					
  | Thailand pop 4 |  | 0.0020 |   | 16807 | See |   |   |  | 
					
  | Taiwan Chinese immigrants from Middle China |  | 0.0020 |   | 211 | See |   |   |  | 
					
  | Iraq Kurdistan Region | 0.5 | 0.0020 |   | 209 | See |   |   |  | 
					
  | Portugal Bragança |  | 0.0020 |   | 301 | See |   |   |  | 
					
  | Portugal Castelo Branco |  | 0.0020 |   | 327 | See |   |   |  | 
					
  | Iran pop 4 |  | 0.0012 |   | 855 | See |   |   | 
						 
 | 
					
  | France Marseille | 0.2 | 0.0010 |   | 1000 | See |   |   |  | 
					
  | France Bordeaux | 0.2 | 0.0010 |   | 990 | See |   |   |  | 
					
  | Taiwan Minnan pop 2 |  | 0.0010 |   | 7137 | See |   |   |  | 
					
  | Portugal Braga |  | 0.0010 |   | 1971 | See |   |   |  | 
					
  | Wales pop 2 | 0.1 | 0.0010 |   | 39979 | See |   |   |  | 
					
  | Saudi Arabia pop 2 |  | 0.0010 |   | 383 | See |   |   |  | 
					
  | Taiwan Hakka pop 2 |  | 0.0010 |   | 714 | See |   |   |  | 
					
  | Armenia living in Lebanon |  | 0.0010 |   | 368 | See |   |   |  | 
					
  | Ecuador Andes Mixed Ancestry |  | 0.0006 |   | 824 | See |   |   | 
						 
 | 
					
  | Brazil Rio Grande do Sul Caucasoid |  | 0.0006 |   | 4428 | See |   |   |  | 
					
  | Brazil Para Cord Blood Unit | 0.0 | 0.0006 |   | 841 | See |   |   | 
						 
 | 
					
  | Chile Santiago |  | 0.0005 |   | 920 | See |   |   | 
						 
 | 
					
  | France Rennes pop 4 | 0.1 | 0.0005 |   | 1000 | See |   |   |  | 
					
  | Ecuador Mixed Ancestry |  | 0.0004 |   | 1173 | See |   |   | 
						 
 | 
					
  | Brazil REDOME Bahia |  | 0.0004 |   | 47399 | See |   |   |  | 
					
  | Brazil REDOME Rio de Janeiro |  | 0.0004 |   | 139322 | See |   |   |  | 
					
  | Brazil REDOME Rondonia |  | 0.0004 |   | 54396 | See |   |   |  | 
					
  | Brazil REDOME Sao Paulo |  | 0.0004 |   | 800809 | See |   |   |  | 
					
  | Brazil REDOME Minas Gerais |  | 0.0004 |   | 211275 | See |   |   |  | 
					
  | Brazil REDOME Mato Grosso do Sul |  | 0.0003 |   | 95667 | See |   |   |  | 
					
  | Brazil South East Cord Blood |  | 0.0003 |   | 11409 | See |   |   | 
						 
 | 
					
  | Brazil REDOME Espirito Santo |  | 0.0003 |   | 88485 | See |   |   |  | 
					
  | Brazil REDOME Alagoas |  | 0.0003 |   | 25349 | See |   |   |  | 
					
  | Brazil REDOME Paraiba |  | 0.0003 |   | 43868 | See |   |   |  | 
					
  | Brazil REDOME Parana |  | 0.0003 |   | 341639 | See |   |   |  | 
					
  | Brazil REDOME Ceara |  | 0.0003 |   | 101217 | See |   |   |  | 
					
  | Brazil REDOME Maranhao |  | 0.0003 |   | 10180 | See |   |   |  | 
					
  | Mexico Puebla, Puebla city |  | 0.0003 |   | 1994 | See |   |   | 
						 
 | 
					
  | Spain, Castilla y Leon, Northwest, | 0.1 | 0.0002 |   | 1743 | See |   |   | 
						 
 | 
					
  | France Lyon | 0.0 | 0.0002 |   | 4813 | See |   |   |  | 
					
  | Brazil REDOME Mato Grosso |  | 0.0002 |   | 34649 | See |   |   |  | 
					
  | Brazil REDOME Federal District |  | 0.0002 |   | 29549 | See |   |   |  | 
					
  | Brazil REDOME Rio Grande do Sul |  | 0.0002 |   | 241329 | See |   |   |  | 
					
  | Brazil REDOME Sergipe |  | 0.0002 |   | 7321 | See |   |   |  | 
					
  | Brazil REDOME Piaui |  | 0.0002 |   | 46140 | See |   |   |  | 
					
  | Brazil REDOME Tocantins |  | 0.0001 |   | 20692 | See |   |   |  | 
					
  | Brazil REDOME Rio Grande do Norte |  | 0.0001 |   | 46603 | See |   |   |  | 
					
  | Brazil REDOME Santa Catarina |  | 0.0001 |   | 106673 | See |   |   |  | 
					
  | Brazil REDOME Para |  | 0.0001 |   | 72637 | See |   |   |  | 
					
  | Brazil REDOME Pernambuco |  | 0.0001 |   | 92332 | See |   |   |  | 
					
  | Brazil REDOME Amazonas |  | 0.0001 |   | 24129 | See |   |   |  | 
					
  | Brazil REDOME Amapa |  | 0.0001 |   | 17864 | See |   |   |  | 
					
  | Brazil REDOME Goias |  | 0.0001 |   | 88574 | See |   |   |  | 
					
  | Italy |  | 0.0001 |   | 159311 | 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 |   |   |  | 
					
  | Italy South Campania Region | 0.0 | 0.0000 |   | 1089 | See |   |   |  | 
					
  | Jordan |  | 0.0000 |   | 15141 | See |   |   |  | 
					
  | Greece North |  | 0.0000 |   | 500 | See |   |   |  | 
					
  | Croatia |  | 0.0000 |   | 150 | See |   |   |  | 
					
  | Croatia pop 2 |  | 0.0000 |   | 100 | See |   |   |  | 
					
  | Ireland South pop 2 |  | 0.0000 |   | 17624 | See |   |   |  | 
					
  | Iran Royan Cord Blood Bank | 0.0 | 0.0000 |   | 15600 | See |   |   |  | 
					
  | Mexico Tlaxcala, Tlaxcala city |  | 0.0000 |   | 181 | See |   |   | 
						 
 | 
					
  | Mexico Mexico City South |  | 0.0000 |   | 52 | See |   |   | 
						 
 | 
					
  | Mexico Mexico City North |  | 0.0000 |   | 751 | See |   |   | 
						 
 | 
					
  | Mexico Mexico City East |  | 0.0000 |   | 79 | See |   |   | 
						 
 | 
					
  | Mexico Mexico City Center |  | 0.0000 |   | 152 | 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 |   |   | 
						 
 | 
					
  | Macedonia pop 4 |  | 0.0000 |   | 216 | See |   |   |  | 
					
  | Mongolia Khalkha |  | 0.0000 |   | 200 | See |   |   |  | 
					
  | Mongolia Tsaatan |  | 0.0000 |   | 144 | See |   |   |  | 
					
  | Morocco pop 2 |  | 0.0000 |   | 110 | See |   |   |  | 
					
  | Mexico Mexico City Mestizo |  | 0.0000 |   | 121 | 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 |   |   |  | 
					
  | Portugal Leiria |  | 0.0000 |   | 1847 | See |   |   |  | 
					
  | Portugal Lisbon |  | 0.0000 |   | 17420 | See |   |   |  | 
					
  | Portugal Portalegre |  | 0.0000 |   | 1254 | See |   |   |  | 
					
  | Portugal Porto |  | 0.0000 |   | 7937 | See |   |   |  | 
					
  | Portugal Santarem |  | 0.0000 |   | 3865 | See |   |   |  | 
					
  | Portugal Setubal |  | 0.0000 |   | 5268 | See |   |   |  | 
					
  | Mongolia Ulaanbaatar Khalkha |  | 0.0000 |   | 41 | See |   |   |  | 
					
  | Mongolia Khalkha pop 2 |  | 0.0000 |   | 202 | See |   |   |  | 
					
  | Malaysia pop 2 |  | 0.0000 |   | 62 | See |   |   |  | 
					
  | Pakistan Baloch |  | 0.0000 |   | 66 | See |   |   |  | 
					
  | Pakistan Brahui |  | 0.0000 |   | 104 | See |   |   |  | 
					
  | Pakistan Burusho |  | 0.0000 |   | 92 | See |   |   |  | 
					
  | Pakistan Kalash |  | 0.0000 |   | 69 | See |   |   |  | 
					
  | Pakistan Mixed Sindhi |  | 0.0000 |   | 101 | See |   |   |  | 
					
  | Pakistan Karachi Parsi |  | 0.0000 |   | 91 | See |   |   |  | 
					
  | Portugal North |  | 0.0000 |   | 46 | See |   |   |  | 
					
  | Taiwan Chinese immigrants from South China |  | 0.0000 |   | 172 | See |   |   |  | 
					
  | Portugal South pop 2 |  | 0.0000 |   | 1021 | See |   |   |  | 
					
  | Portugal Aveiro |  | 0.0000 |   | 5933 | See |   |   |  | 
					
  | Portugal Beja |  | 0.0000 |   | 699 | 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 |   |   |  | 
					
  | Romania | 0.0 | 0.0000 |   | 348 | See |   |   |  | 
					
  | Russia Nenet Mixed |  | 0.0000 |   | 55 | See |   |   |  | 
					
  | Russia Arkhangelsk Pomor |  | 0.0000 |   | 63 | See |   |   |  | 
					
  | Russia Murmansk Saomi Mixed |  | 0.0000 |   | 70 | See |   |   |  | 
					
  | Russia Northwest pop 2 | 0.0 | 0.0000 |   | 346 | See |   |   |  | 
					
  | Russia South Ural Russian | 0.0 | 0.0000 |   | 207 | See |   |   |  | 
					
  | Russia South Ural Bashkir | 0.0 | 0.0000 |   | 146 | See |   |   |  | 
					
  | Russia South Ural Tatar | 0.0 | 0.0000 |   | 135 | See |   |   |  | 
					
  | Russia Northwest pop  3 | 0.0 | 0.0000 |   | 100 | See |   |   |  | 
					
  | USA OPTN Asian |  | 0.0000 |   | 261 | See |   |   |  | 
					
  | USA OPTN African American |  | 0.0000 |   | 1510 | See |   |   |  | 
					
  | USA OPTN Hispanic |  | 0.0000 |   | 1580 | See |   |   |  | 
					
  | USA OPTN Caucasian |  | 0.0000 |   | 8525 | See |   |   |  | 
					
  | Wales | 0.1 | 0.0000 |   | 1798 | See |   |   |  | 
					
  | Taiwan Chinese immigrants from North China |  | 0.0000 |   | 152 | See |   |   |  | 
					
  | Taiwan Aborigine |  | 0.0000 |   | 111 | See |   |   |  | 
					
  | Trinidad South Asian |  | 0.0000 |   | 87 | See |   |   |  | 
					
  | Tanzania Dodoma Kongwa |  | 0.0000 |   | 212 | See |   |   |  | 
					
  | USA South Texas Hispanic |  | 0.0000 |   | 194 | See |   |   |  | 
					
  | USA Caucasian Bethesda | 0.0 | 0.0000 |   | 307 | See |   |   |  | 
					
  | USA African American Bethesda | 0.0 | 0.0000 |   | 187 | See |   |   |  | 
					
  | China Yunnan Province Naxi |  | 0.0000 |   | 118 | See |   |   |  | 
					
  | Brazil Rio Grande do Norte Mestizo |  | 0.0000 |   | 12973 | See |   |   |  | 
					
  | Brazil Piaui Mixed |  | 0.0000 |   | 21943 | 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 |   |   |  | 
					
  | China North Han |  | 0.0000 |   | 105 | See |   |   |  | 
					
  | Germany | 0.0 | 0.0000 |   | 11407 | See |   |   |  | 
					
  | Ecuador Coast Mixed Ancestry |  | 0.0000 |   | 238 | See |   |   | 
						 
 | 
					
  | Ecuador Amazonia Mixed Ancestry |  | 0.0000 |   | 39 | See |   |   | 
						 
 | 
					
  | Brazil Sao Paulo Bauru Mixed |  | 0.0000 |   | 3542 | See |   |   |  | 
					
  | Australia West Caucasian | 0.0 | 0.0000 |   | 891 | See |   |   |  | 
					
  | United Arab Emirates pop 2 | 0.0 | 0.0000 |   | 373 | 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 |   |   |  | 
					
  | Argentina Corrientes | 0.0 | 0.0000 |   | 155 | See |   |   |  | 
					
  | Argentina Buenos Aires pop 2 | 0.0 | 0.0000 |   | 1216 | See |   |   |  | 
					
  | Argentina Cuyo Region | 0.0 | 0.0000 |   | 420 | See |   |   |  | 
					
  | Bosnia and Herzegovina |  | 0.0000 |   | 134 | See |   |   |  | 
					
  | Brazil Sao Paulo Mixed | 0.0 | 0.0000 |   | 239 | See |   |   |  | 
					
  | Brazil Parana Caucasian | 0.0 | 0.0000 |   | 2775 | See |   |   |  | 
					
  | Brazil Parana Cafuzo | 0.0 | 0.0000 |   | 319 | 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 |   |   |  | 
					
  | Mexico Sinaloa Mestizo |  | 0.0000 |   | 56 | 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 Yucatan Rural |  | 0.0000 |   | 132 | See |   |   | 
						 
 | 
					
  | Mexico Quintana Roo Rural |  | 0.0000 |   | 50 | See |   |   | 
						 
 | 
					
  | Mexico Baja California, Tijuana |  | 0.0000 |   | 25 | See |   |   | 
						 
 | 
					
  | Mexico Puebla Rural |  | 0.0000 |   | 833 | See |   |   | 
						 
 | 
					
  | Mexico Oaxaca Rural |  | 0.0000 |   | 485 | 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 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 Mexico City Metropolitan Area Rural |  | 0.0000 |   | 150 | See |   |   | 
						 
 | 
					
  | Mexico Tlaxcala Rural |  | 0.0000 |   | 830 | See |   |   | 
						 
 | 
					
  | Mexico Jalisco Rural |  | 0.0000 |   | 585 | 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 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 Sonora, Hermosillo |  | 0.0000 |   | 99 | 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 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 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 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, Tonala |  | 0.0000 |   | 35 | 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 Hidalgo, Pachuca |  | 0.0000 |   | 41 | 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 |   |   | 
						 
 | 
	
		* 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.