Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 201 to 300 (from 7,493) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 75  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*32-B*15:01-DRB1*12-DQB1*03:01  Mexico Nuevo Leon, Monterrey city 0.6637226
 202  A*32-B*52-DRB1*15-DQB1*06  Mexico Michoacan, Morelia 0.6623150
 203  A*32-B*39-C*07-DRB1*11  Macedonia MBMDR - Macedonian Muslims 0.657976
 204  A*32-B*40-C*02-DRB1*11  Macedonia MBMDR - Macedonian Muslims 0.657976
 205  A*32-B*44-DRB1*15-DQB1*06  Mexico Mexico City Center 0.6494152
 206  A*32-B*51-DRB1*11-DQB1*03:01  Mexico Durango, Durango city 0.6452153
 207  A*32:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01  Nicaragua Mestizo (G) 0.6452155
 208  A*32-B*13-DRB1*07-DQB1*02  Mexico Guanajuato, Leon 0.641078
 209  A*32-B*35-DRB1*11  Iran pop 4 0.6303855
 210  A*32-B*55-DRB1*11  Iran pop 4 0.6303855
 211  A*32:01:01-B*51:01:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 212  A*32-B*27-DRB1*08-DQB1*04  Mexico Hidalgo Rural 0.617381
 213  A*32-B*35-DRB1*15-DQB1*06  Mexico Hidalgo Rural 0.617381
 214  A*32-B*49-DRB1*03:01-DQB1*02  Mexico Guanajuato Rural 0.6135162
 215  A*32-B*14:02-DRB1*16-DQB1*05  Mexico Tabasco, Villahermosa 0.609882
 216  A*32-B*35-DRB1*03:01-DQB1*02  Mexico Morelos, Cuernavaca 0.609882
 217  A*32-B*35-DRB1*04-DQB1*03:02  Mexico Tabasco, Villahermosa 0.609882
 218  A*32-B*35-DRB1*13-DQB1*06  Mexico Tabasco, Villahermosa 0.609882
 219  A*32-B*44-DRB1*11-DQB1*03:01  Mexico Tabasco, Villahermosa 0.609882
 220  A*32-B*51-DRB1*13-DQB1*06  Mexico Tabasco, Villahermosa 0.609882
 221  A*32-B*55-DRB1*13-DQB1*03:01  Mexico Morelos, Cuernavaca 0.609882
 222  A*32:01-B*07:02-C*07:01-DRB1*04:01-DQA1*03:03-DQB1*03:02-DPB1*01:01  South Africa Worcester 0.6000159
 223  A*32:01-B*58:02-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:02  South Africa Worcester 0.6000159
 224  A*32:01-B*39:01-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 225  A*32:01-B*40:02-DRB1*10:01-DQB1*04:02  Mexico Veracruz Xalapa 0.595284
 226  A*32:01-B*44:02-DRB1*11:04-DQB1*03:01  Mexico Veracruz Xalapa 0.595284
 227  A*32:01-B*53:01-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 228  A*32-B*07-DRB1*15-DQB1*06  Mexico Jalisco, Zapopan 0.5952168
 229  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*04:08:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 230  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*04:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 231  A*32:01:01-B*35:02:01-C*04:01:01-DRB1*10:01:01-DQB1*05:103-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Parda 0.5882170
 232  A*32:01:01-B*44:02:01-C*05:01:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*14:01:01  Brazil Rio de Janeiro Parda 0.5882170
 233  A*32-B*35-DRB1*11-DQB1*03:01  Mexico Veracruz, Veracruz city 0.5814171
 234  A*32:01-B*40:02-C*02:02-DRB1*16:02  Germany DKMS - Greece minority 0.58001,894
 235  A*32:01:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.5750174
 236  A*32-B*50-DRB1*13:01-DQB1*06:03  Bolivia La Paz Aymaras 0.575087
 237  A*32-B*35-DRB1*16-DQB1*03:01  Mexico San Luis Potosi Rural 0.574787
 238  A*32-B*58-DRB1*07-DQB1*02  Mexico San Luis Potosi Rural 0.574787
 239  A*32:01-B*55:01-DRB1*04:03  Israel Druze 0.57205,914
 240  A*32:01-B*07:02-DRB1*07:01-DQB1*02:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 241  A*32:01-B*15:01-DRB1*13:05-DQB1*06:03  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 242  A*32:01-B*39:01-DRB1*07:01-DQB1*02:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 243  A*32:01-B*39:01-DRB1*14:02-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 244  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.5620356
 245  A*32:01-B*44:03-DRB1*01:02  Israel USA Jews 0.56006,058
 246  A*32:01-B*41:01-DRB1*07:01  Israel Iran Jews 0.55908,153
 247  A*32-B*51-DRB1*04-DQB1*02  Mexico Tlaxcala, Tlaxcala city 0.5525181
 248  A*32:01-B*35:08-DRB1*13:05  Israel Iraq Jews 0.535013,270
 249  A*32-B*39-DRB1*15:01  Colombia Barranquilla 0.5300188
 250  A*32-B*07-DRB1*04-DQB1*03:02  Mexico Aguascalientes state 0.526395
 251  A*32-B*14:01-DRB1*07-DQB1*02  Mexico Aguascalientes state 0.526395
 252  A*32-B*44-DRB1*01:03-DQB1*05  Mexico Aguascalientes state 0.526395
 253  A*32-B*57-DRB1*07-DQB1*02  Mexico Aguascalientes state 0.526395
 254  A*32-B*40-C*02-DRB1*11  Macedonia 0.5245286
 255  A*32-B*40-DRB1*11  Macedonia 0.5245286
 256  A*32:01:01-B*15:32:01-C*12:03:01-DRB1*11:06:01  China Jingpo Minority 0.5210105
 257  A*32:01:01-B*58:01:01-DRB1*03:01:01  China Jingpo Minority 0.5210105
 258  A*32:01:01-B*07:02:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.5208192
 259  A*32:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.5208192
 260  A*32:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.5208192
 261  A*32:01-B*14:02-DRB1*01:02  Mexico Oaxaca Jamiltepec Mixtec 0.520096
 262  A*32:01-B*44:03-DRB1*01:02  Israel Poland Jews 0.520013,871
 263  A*32:01-B*51:01-DRB1*13:03  Mexico Oaxaca Jamiltepec Mixtec 0.520096
 264  A*32:01-B*13:01-DRB1*03:01-DQB1*02:01  Iran Tabriz Azeris 0.515597
 265  A*32:01-B*15:17-DRB1*04:01-DQB1*06:02  Iran Tabriz Azeris 0.515597
 266  A*32:01-B*18:09-DRB1*11:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 267  A*32:01-B*38:01-DRB1*11:01-DQB1*05:02  Iran Tabriz Azeris 0.515597
 268  A*32:01-B*41:01-DRB1*14:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 269  A*32:01-B*44:02-DRB1*04:01-DQB1*03:02  Iran Tabriz Azeris 0.515597
 270  A*32:01-B*51:01-DRB1*04:01-DQB1*03:01  Iran Tabriz Azeris 0.515597
 271  A*32:01-B*52:01-DRB1*15:01-DQB1*06:01  Iran Tabriz Azeris 0.515597
 272  A*32:01-B*55:01-DRB1*03:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 273  A*32:01-B*57:01-DRB1*07:01-DQB1*06:01  Iran Tabriz Azeris 0.515597
 274  A*32:01-B*58:08-DRB1*13:08-DQB1*03:01  Iran Tabriz Azeris 0.515597
 275  A*32-B*08-DRB1*03:01-DQB1*02  Mexico Nayarit, Tepic 0.515597
 276  A*32-B*42-DRB1*13-DQB1*03:01  Mexico Nayarit, Tepic 0.515597
 277  A*32-B*49-DRB1*11-DQB1*03:01  Mexico Nayarit, Tepic 0.515597
 278  A*32:01:01-C*12:03:01-DRB1*11:06:01  China Jingpo Minority 0.5150105
 279  A*32:01-B*52:01-DRB1*15:02  Israel Georgia Jews 0.51504,471
 280  A*32:01:01-B*44:02:01-C*05:01:01  England Blood Donors of Mixed Ethnicity 0.5128519
 281  A*32-B*07-DRB1*15-DQB1*06  Mexico Yucatan, Merida 0.5128192
 282  A*32-B*14:01-DRB1*07-DQB1*02  Mexico Yucatan, Merida 0.5128192
 283  A*32:01-B*07:02-DRB1*04:05  Israel Ethiopia Jews 0.51005,928
 284  A*32-B*13-C*06-DRB1*07-DQB1*03  Sudan Khartoum 0.510098
 285  A*32-B*14-C*17-DRB1*03-DQB1*06  Sudan Khartoum 0.510098
 286  A*32-B*14-C*17-DRB1*11-DQB1*05  Sudan Khartoum 0.510098
 287  A*32-B*15-C*17-DRB1*13-DQB1*02  Sudan Khartoum 0.510098
 288  A*32-B*51-C*02-DRB1*10-DQB1*06  Sudan Khartoum 0.510098
 289  A*32-B*51-C*06-DRB1*15-DQB1*06  Sudan Khartoum 0.510098
 290  A*32-B*51-C*06-DRB1*16-DQB1*06  Sudan Khartoum 0.510098
 291  A*32-B*14:01-DRB1*07-DQB1*02  Mexico Sonora Rural 0.5076197
 292  A*32-B*40:02-DRB1*15-DQB1*06  Mexico Sonora, Hermosillo 0.505199
 293  A*32-B*73-DRB1*08-DQB1*04  Mexico Sonora, Hermosillo 0.505199
 294  A*32:01-B*07:02-C*07:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 295  A*32:01-B*15:31-C*04:07-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*39:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 296  A*32:01-B*18:01-C*17:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 297  A*32:01-B*58:01-C*04:01-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 298  A*32-B*14-DRB1*15  Brazil South Ribeirao Preto 0.5000184
 299  A*32-B*44-DRB1*07  China Shaanxi Province Han 0.500010,000
 300  A*32-B*52-DRB1*15  China Shaanxi Province Han 0.500010,000

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
   Important: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).


Displaying 201 to 300 (from 7,493) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 75  


   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

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