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 : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 201 to 300 (from 2,375) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 24  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*68:01-B*39:01-DRB1*04:04-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 202  A*68:01-B*39:01-DRB1*08:02-DQB1*04:02  Mexico Veracruz Xalapa 0.595284
 203  A*68:01-B*39:01-DRB1*13:10-DQB1*06:03  Mexico Veracruz Xalapa 0.595284
 204  A*68:01-B*39:01-DRB1*16:02-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 205  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*15:02:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 206  A*02:06:01-B*39:01:03-C*07:02:01-DRB1*11:04:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Parda 0.5882170
 207  A*29:02:01-B*39:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*03:01:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 208  A*02:03:01-B*39:01:01-C*07:02:01-DRB1*04:05:01-DQB1*04:01:01  India Karnataka Kannada Speaking 0.5750174
 209  A*01:01-B*39:01-DRB1*14:02-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 210  A*02:01-B*39:01-DRB1*03:01-DQB1*02:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 211  A*02:01-B*39:01-DRB1*04:04-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 212  A*02:01-B*39:01-DRB1*04:11-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 213  A*02:01-B*39:01-DRB1*10:01-DQB1*05:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 214  A*02:01-B*39:01-DRB1*13:03-DQB1*02:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 215  A*02:01-B*39:01-DRB1*15:06-DQB1*06:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 216  A*24:02-B*39:01-DRB1*04:03-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 217  A*24:02-B*39:01-DRB1*07:01-DQB1*02:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 218  A*26:01-B*39:01-DRB1*04:07-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 219  A*31:01-B*39:01-DRB1*04:07-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 220  A*32:01-B*39:01-DRB1*07:01-DQB1*02:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 221  A*32:01-B*39:01-DRB1*14:02-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 222  A*36-B*39:01-DRB1*08:02-DQB1*04:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 223  A*68:01-B*39:01-DRB1*04:07-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 224  A*68:01-B*39:01-DRB1*04:07-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 225  A*68:01-B*39:01-DRB1*15:01-DQB1*06:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 226  A*02:06-B*39:01-C*07:02-DRB1*08:03-DQB1*06:01  USA NMDP Hawaiian or other Pacific Islander 0.543611,499
 227  A*02:03:01-B*39:01:01-C*03:03:01-DRB1*04:05:01-DQB1*04:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 228  A*24:02:01:01-B*39:01:01:03-C*07:02:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.52751,510
 229  A*11:01:01-B*39:01:01-C*07:02:01-DRB1*12:02:01  China Jingpo Minority 0.5210105
 230  A*11:01:01-B*39:01:01-DRB1*12:02:01  China Jingpo Minority 0.5210105
 231  A*25:01-B*39:01-C*12:03-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.5210496
 232  B*39:01:01-C*07:02:01-DRB1*12:02:01  China Jingpo Minority 0.5210105
 233  B*39:01:01-DRB1*12:02:01  China Jingpo Minority 0.5210105
 234  A*02:01-B*39:01-DRB1*14:06  Mexico Oaxaca Jamiltepec Mixtec 0.520096
 235  A*02:50-B*39:01-DRB1*08:01-DQB1*04:01  Iran Tabriz Azeris 0.515597
 236  A*68:01-B*39:01-DRB1*16:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 237  A*11:01:01-B*39:01:01  China Jingpo Minority 0.4950105
 238  A*11:01:01-B*39:01:01-C*07:02:01  China Jingpo Minority 0.4950105
 239  A*11:02:01-B*39:01:01-C*04:03:01-DRB1*15:01:01-DQB1*06:02:01  Vietnam Kinh 0.4950101
 240  A*33:03:01-B*39:01:01-C*07:02:01-DRB1*04:05:01-DQB1*04:01:01  Vietnam Kinh 0.4950101
 241  B*39:01:01-C*07:02:01  China Jingpo Minority 0.4900105
 242  A*68:01-B*39:01-C*12:03-DRB1*16:01  Germany DKMS - Bosnia and Herzegovina minority 0.48601,028
 243  A*02:01-B*39:01-C*12:03-DRB1*12:01  Russia Bering Island Aleuts 0.4808104
 244  A*68:01-B*39:01-C*01:02-DRB1*01:01  Russia Bering Island Aleuts 0.4808104
 245  A*68:01-B*39:01-C*12:03-DRB1*12:01  Russia Bering Island Aleuts 0.4808104
 246  A*02:01-B*39:01-DRB1*04:07-DQB1*03:03  Peru Titikaka Lake Uros 0.4800105
 247  A*68:01:02-B*39:01-DRB1*04:07-DQB1*03:02  Peru Titikaka Lake Uros 0.4800105
 248  A*68:06-B*39:01-DRB1*04:07-DQB1*03:03  Peru Titikaka Lake Uros 0.4800105
 249  B*39:01-C*07:02  USA Hispanic pop 2 0.47701,999
 250  A*01:01-B*39:01-DRB1*14:54  New Zealand Maori with Admixed History 0.4762105
 251  A*11:01-B*39:01-DRB1*08:03  New Zealand Maori with Admixed History 0.4762105
 252  A*24:02-B*39:01-DRB1*14:01  New Zealand Maori with Admixed History 0.4762105
 253  A*01:01:01-B*39:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 254  A*11:01:01-B*39:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.4700215
 255  B*39:01-DRB1*16:01  Italy pop 5 0.4700975
 256  A*68:03-B*39:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.4587218
 257  A*01:01-B*39:01-DRB1*11:04  Israel Tunisia Jews 0.45709,070
 258  A*24:02:01-B*39:01:01-C*08:02:01-DRB1*03:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 259  A*24:02-B*39:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.4545330
 260  A*24:02-B*39:01-DRB1*14:06-DQB1*03:01  Mexico Mexico City Tlalpan 0.4545330
 261  A*24:02-B*39:01-C*12:03  Italy pop 5 0.4400975
 262  A*02:01-B*39:01-C*12:03-E*01:03:01-F*01:01:02-G*01:01-DRB1*01:02-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 263  A*02:01-B*39:01-C*16:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*16:01-DQA1*01:02-DQB1*03:02  Portugal Azores Terceira Island 0.4386130
 264  A*23:01-B*39:01-C*12:03-E*01:03:02-F*01:03:01-G*01:01-DRB1*16:01:01-DQA1*01:02-DQB1*05:02:01  Portugal Azores Terceira Island 0.4386130
 265  A*26:01-B*39:01-C*12:03-E*01:01:01-F*01:01:01-G*01:01-DRB1*12:01-DQA1*05:05-DQB1*03:01  Portugal Azores Terceira Island 0.4386130
 266  A*11:01-B*39:01-C*07:02-DRB1*08:03  Japan pop 16 0.433018,604
 267  B*39:01-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4300234
 268  A*68:01-B*39:01-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4274234
 269  B*39:01-C*12:03  USA Hispanic pop 2 0.42601,999
 270  A*11:01:01-B*39:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.4210356
 271  A*03:01:01-B*39:01:01-C*02:02:02-DRB1*11:01:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 272  A*03:01:01-B*39:01:01-C*07:02:01-DRB1*09:01:02-DQA1*03:02:01-DQB1*03:03:02-DPA1*02:02:02-DPB1*05:01:01  Russian Federation Vologda Region 0.4202119
 273  A*24:02:01-B*39:01:01-C*03:03:01-DRB1*13:01:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 274  A*24:02:01-B*39:01:01-C*07:02:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*15:01:01  Russian Federation Vologda Region 0.4202119
 275  A*24:02:01-B*39:01:01-C*07:02:01-DRB1*13:01:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 276  A*30:01:01-B*39:01:01-C*06:02:01-DRB1*01:01:01-DQA1*01:03:01-DQB1*05:01-DPA1*01:03:01-DPB1*16:01  Russian Federation Vologda Region 0.4202119
 277  A*31:01:02-B*39:01:01-C*02:02:02-DRB1*04:01:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 278  A*32:01:01-B*39:01:01-C*07:02:01-DRB1*08:01:01-DQA1*04:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 279  A*32:01:01-B*39:01:01-C*12:03:01-DRB1*01:01:01-DQA1*01:03:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 280  A*32:01:01-B*39:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 281  A*32:01:01-B*39:01:24-C*12:02:02-DRB1*15:02-DQA1*01:03:01-DQB1*03:01-DPA1*01:03:01-DPB1*17:01:01  Russian Federation Vologda Region 0.4202119
 282  A*24:02:01-B*39:01:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02  Russia Bashkortostan, Bashkirs 0.4167120
 283  A*32:01:01-B*39:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03  Russia Bashkortostan, Bashkirs 0.4167120
 284  A*24:02:01-B*39:01:01-C*08:02:01-DRB1*08:02:01  Costa Rica Amerindians (G) 0.4032125
 285  A*01:01-B*39:01-C*06:02-DRB1*11:01-DQA1*05:05-DQB1*03:01  Kosovo 0.4030124
 286  A*02:01-B*39:01-C*06:02-DRB1*13:02-DQA1*01:02-DQB1*06:04  Kosovo 0.4030124
 287  A*02:01-B*39:01-C*07:02-DRB1*16:01-DQA1*05:05-DQB1*03:01  Kosovo 0.4030124
 288  A*26:01-B*39:01-C*12:03-DRB1*11:04-DQA1*01:02-DQB1*03:01  Kosovo 0.4030124
 289  A*68:01-B*39:01-C*12:03-DRB1*12:01-DQA1*01:02-DQB1*03:01  Kosovo 0.4030124
 290  A*02:01-B*39:01  USA Hispanic pop 2 0.39501,999
 291  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 292  A*03:01:01-B*39:01:01-C*12:03:01-DRB1*12:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 293  A*02:06-B*39:01-C*07:02-DRB1*15:01  Japan pop 16 0.386018,604
 294  A*02:01-B*39:01-C*03:03-DRB1*11:02-DQB1*04:02-DPB1*04:02  Panama 0.3800462
 295  A*68:01-B*39:01-C*12:03-DRB1*16:01  Germany DKMS - Croatia minority 0.37702,057
 296  A*24:02-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*04:01  Russia Karelia 0.36131,075
 297  A*24:02-B*39:01-C*07:02-DRB1*14:02-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 298  A*24:02-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo population 0.3497143
 299  A*68:01-B*39:01-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 300  B*39:01-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143

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 2,375) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 24  


   

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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