Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 1,218) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 13  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*01:01:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.8213186
 202  A*02:01-B*44:03-C*14:03-DRB1*07:01-DQB1*02:02-DPB1*14:01  Tanzania Maasai 0.7987336
 203  A*02-B*44-C*16-DRB1*07-DQA1*02-DQB1*02  Spain, Castilla y Leon, Northwest, 0.79151,743
 204  A*02:01:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.7812192
 205  A*11-B*44-DRB1*07-DQB1*02  Mexico Nayarit Rural 0.781264
 206  A*01:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  USA San Diego 0.7810496
 207  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.7782521
 208  A*68:01-B*44:03-DRB1*07:01-DQB1*02:01  Chile Mapuche 0.770066
 209  A*23-B*44-DRB1*07-DQB1*02  Mexico Yucatan, Merida 0.7692192
 210  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Filipino 0.743850,614
 211  A*02-B*44-DRB1*07-DQB1*02  Mexico Zacatecas Rural 0.7435266
 212  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.72601,999
 213  A*01-B*44-DRB1*07:01-DQB1*02:01  Bolivia Quechua 0.720069
 214  A*24:02-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India North UCBB 0.71115,849
 215  A*33:03:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.7020356
 216  A*02:01:01-B*44:02:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 217  A*29:01:01-B*44:08-C*16:01:01-DRB1*07:01:01-DQB1*02:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 218  A*01-B*44-DRB1*07-DQB1*02  Mexico Coahuila, Saltillo 0.684972
 219  A*02-B*44-DRB1*07-DQB1*02  Mexico Jalisco Rural 0.6826585
 220  A*02-B*44-C*05-DRB1*07-DQB1*02  Albania pop 2 0.6800432
 221  A*30:04-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA NMDP Caribean Indian 0.676614,339
 222  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Middle Eastern or North Coast of Africa 0.676670,890
 223  A*11:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Northeast UCBB 0.6757296
 224  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.667623,595
 225  A*32-B*44-DRB1*07-DQB1*02  Mexico Baja California, La Paz 0.666775
 226  A*02-B*44-DRB1*07-DQB1*02  Mexico Nuevo Leon, Monterrey city 0.6637226
 227  A*11-B*44-DRB1*07-DQB1*02  Mexico Nuevo Leon, Monterrey city 0.6637226
 228  A*02-B*44-DRB1*07-DQB1*02  Mexico Michoacan, Morelia 0.6623150
 229  A*02-B*44-DRB1*07-DQB1*02  Mexico Mexico City Metropolitan Area Rural 0.6579150
 230  A*29-B*44-DRB1*07-DQB1*02  Mexico Mexico City Metropolitan Area Rural 0.6579150
 231  A*02-B*44-DRB1*07-DQB1*02  Mexico Veracruz Rural 0.6470539
 232  A*29-B*44-DRB1*07-DQB1*02  Mexico Veracruz Rural 0.6470539
 233  A*01-B*44-DRB1*07-DQB1*02  Mexico Durango, Durango city 0.6452153
 234  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.63101,159
 235  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  Sri Lanka Colombo 0.6303714
 236  A*23-B*44-DRB1*07-DQB1*02  Mexico Chihuahua Rural 0.6276236
 237  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6270405
 238  A*02-B*44-DRB1*07-DQB1*02  Mexico Mexico City East 0.625079
 239  A*26-B*44-DRB1*07-DQB1*02  Mexico Mexico City East 0.625079
 240  A*23-B*44-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 0.6240641
 241  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6230405
 242  A*23-B*44-DRB1*07-DQB1*02  Mexico Hidalgo Rural 0.617381
 243  A*24-B*44-DRB1*07-DQB1*02  Mexico Hidalgo Rural 0.617381
 244  A*29-B*44-DRB1*07-DQB1*02  Mexico Hidalgo Rural 0.617381
 245  A*23-B*44-DRB1*07-DQB1*02  Mexico Guanajuato Rural 0.6135162
 246  A*29-B*44-C*16-DRB1*07-DQB1*02-DPB1*11  Norway ethnic Norwegians 0.61004,510
 247  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA NMDP Hawaiian or other Pacific Islander 0.610011,499
 248  A*01-B*44-DRB1*07-DQB1*02  Mexico Morelos, Cuernavaca 0.609882
 249  A*02-B*44-DRB1*07-DQB1*02  Mexico Tabasco, Villahermosa 0.609882
 250  A*26-B*44-DRB1*07-DQB1*02  Mexico Morelos, Cuernavaca 0.609882
 251  A*11:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Central UCBB 0.60944,204
 252  A*33:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  Malaysia Peninsular Malay 0.6072951
 253  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.60302,411
 254  A*01:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.60292,492
 255  A*29-B*44-DRB1*07-DQB1*02  Mexico Puebla Rural 0.5995833
 256  A*02-B*44-DRB1*07-DQB1*02  Mexico Zacatecas, Zacatecas city 0.595284
 257  A*29:01-B*44:02-DRB1*07:08-DQB1*02:01  Mexico Veracruz Xalapa 0.595284
 258  A*29-B*44-DRB1*07-DQB1*02  Mexico Zacatecas, Zacatecas city 0.595284
 259  A*30-B*44-DRB1*07-DQB1*02  Mexico Zacatecas, Zacatecas city 0.595284
 260  A*74-B*44-DRB1*07-DQB1*02  Mexico Zacatecas, Zacatecas city 0.595284
 261  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 262  A*33:01:01-B*44:03:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 263  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP European Caucasian 0.58701,242,890
 264  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA NMDP Black South or Central American 0.58054,889
 265  A*01:01:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.5750174
 266  A*02:11:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.5750174
 267  A*11:01:01-B*44:03:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.5750174
 268  A*29-B*44-DRB1*07-DQB1*02  Mexico San Luis Potosi Rural 0.574787
 269  A*23-B*44-DRB1*07-DQB1*02  Mexico Michoacan Rural 0.5731348
 270  A*29-B*44-DRB1*07-DQB1*02  Mexico Michoacan Rural 0.5731348
 271  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02-DPB1*01:01  Panama 0.5700462
 272  A*02:01-B*44:02-DRB1*07:01-DQB1*02:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 273  A*02-B*44-DRB1*07-DQB1*02  Mexico Nuevo Leon Rural 0.5682439
 274  A*68:01-B*44:02-DRB1*07:01-DQB1*02:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 275  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Sri Lanka Colombo 0.5602714
 276  A*02-B*44-DRB1*07-DQB1*02  Ecuador Mixed Ancestry 0.55411,173
 277  A*01:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Indian 0.5535271
 278  A*01-B*44-DRB1*07-DQB1*02  Mexico Tlaxcala, Tlaxcala city 0.5525181
 279  A*02-B*44-DRB1*07-DQB1*02  Ecuador Andes Mixed Ancestry 0.5461824
 280  A*02-B*44-DRB1*07-DQB1*02  Mexico Jalisco, Guadalajara city 0.54441,189
 281  A*11:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India West UCBB 0.54275,829
 282  A*29-B*44-DRB1*07-DQB1*02  Mexico Mexico City North 0.5312751
 283  A*29-B*44-DRB1*07-DQB1*02  Mexico Nayarit, Tepic 0.515597
 284  A*33:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Chinese 0.5155194
 285  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Chinese 0.513999,672
 286  A*11-B*44-DRB1*07-DQB1*02  Mexico Yucatan, Merida 0.5128192
 287  A*29-B*44-DRB1*07-DQB1*02  Mexico Yucatan, Merida 0.5128192
 288  A*33-B*44-DRB1*07-DQB1*02  Mexico Yucatan, Merida 0.5128192
 289  A*68-B*44-DRB1*07-DQB1*02  Mexico Sonora Rural 0.5076197
 290  A*02-B*44-DRB1*07-DQB1*02  Mexico Sonora, Hermosillo 0.505199
 291  A*23-B*44-DRB1*07-DQB1*02  Mexico Sonora, Hermosillo 0.505199
 292  A*29-B*44-DRB1*07-DQB1*02  Mexico Sonora, Hermosillo 0.505199
 293  A*30-B*44-DRB1*07-DQB1*02  Mexico Sonora, Hermosillo 0.505199
 294  A*02-B*44-DRB1*07-DQB1*02  Mexico Coahuila, Torreon 0.5000396
 295  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA NMDP Hawaiian or other Pacific Islander 0.495311,499
 296  A*11:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India North UCBB 0.49105,849
 297  A*24:02:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.4910356
 298  A*24:02-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Central UCBB 0.48744,204
 299  A*34-B*44-DRB1*07-DQB1*02  Mexico Sinaloa, Culiacán 0.4854103
 300  A*68-B*44-DRB1*07-DQB1*02  Mexico Sinaloa, Culiacán 0.4854103

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 1,218) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 13  


   

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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional