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 3,244) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 33  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*02:01:01-B*51:06:01-C*14:02:01-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 202  A*02:03:01-B*18:01:01-C*14:02:01-DRB1*15:02:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 203  A*03:01:01-B*51:01:01-C*14:02:01-DRB1*08:03:02-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 204  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 205  A*11:01:01-B*51:01:05-C*14:02:01-DRB1*11:08:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 206  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 207  A*24:02:01-B*51:01:05-C*14:02:01-DRB1*14:10-DQB1*05:10  India Andhra Pradesh Telugu Speaking 0.2688186
 208  A*24:02:01-B*51:06:01-C*14:02:01-DRB1*14:04:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 209  A*26:01:01-B*40:06:04-C*14:02:01-DRB1*14:04:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 210  A*31:01:02-B*40:02:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 211  A*33:03:01-B*51:01:01-C*14:02:01-DRB1*15:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 212  A*33:03:01-B*58:01:01-C*14:02:01-DRB1*15:01:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 213  A*68:01:01-B*35:03:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 214  A*68:01:01-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 215  A*68:01:01-B*51:01:01-C*14:02:01-DRB1*15:01:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 216  A*02:06:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.26841,734
 217  A*24:02-B*51:01-C*14:02-DRB1*09:01  Hong Kong Chinese BMDR 0.26767,595
 218  A*11:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Malay 0.2629951
 219  A*03:01-B*51:01-C*14:02-DRB1*04:01-DQB1*03:02  USA NMDP Caribean Indian 0.260914,339
 220  A*24:02:01:01-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 221  A*01:01-B*51:01-C*14:02-DRB1*03:01-DQA1*03:01-DQB1*03:02-DPB1*04:01  USA San Diego 0.2600496
 222  A*01:01-B*51:01-C*14:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:01  USA San Diego 0.2600496
 223  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.2600496
 224  A*03:01-B*51:01-C*14:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 225  A*11:01-B*51:01-C*14:02-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPB1*05:01  USA San Diego 0.2600496
 226  A*23:01-B*44:03-C*14:02-DRB1*07:01-DQA1*05:01-DQB1*03:01-DPB1*10:01  USA San Diego 0.2600496
 227  A*24:02-B*44:03-C*14:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*05:01  USA San Diego 0.2600496
 228  A*31:01-B*46:01-C*14:02-DRB1*12:01-DQA1*03:01-DQB1*04:01-DPB1*05:01  USA San Diego 0.2600496
 229  A*31:01-B*51:01-C*14:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*02:02  USA San Diego 0.2600496
 230  A*31:01-B*54:01-C*14:02-DRB1*04:05-DQA1*03:01-DQB1*04:01-DPB1*02:01  USA San Diego 0.2600496
 231  A*33:03-B*51:02-C*14:02-DRB1*11:05-DQA1*03:01-DQB1*06:02-DPB1*05:01  USA San Diego 0.2600496
 232  A*02:01-B*40:88-C*14:02-DRB1*16:02-DQB1*04:02  Malaysia Peninsular Chinese 0.2577194
 233  A*02:03-B*38:02-C*14:02-DRB1*16:02-DQB1*03:02  Malaysia Peninsular Chinese 0.2577194
 234  A*02:03-B*51:02-C*14:02-DRB1*14:04-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 235  A*11:01-B*13:01-C*14:02-DRB1*09:01-DQB1*05:01  Malaysia Peninsular Chinese 0.2577194
 236  A*11:01-B*51:01-C*14:02-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 237  A*24:02-B*15:02-C*14:02-DRB1*16:02-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 238  A*24:02-B*46:01-C*14:02-DRB1*14:04-DQB1*04:01  Malaysia Peninsular Chinese 0.2577194
 239  A*24:02-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 240  A*24:02-B*54:01-C*14:02-DRB1*04:05-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 241  A*32:03-B*51:01-C*14:02-DRB1*01:01-DQB1*05:01  Malaysia Peninsular Chinese 0.2577194
 242  A*11:01-B*51:06-C*14:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.24922,492
 243  A*02:01-B*51:01-C*14:02-DRB1*01:01  Germany DKMS - France minority 0.24801,406
 244  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.24521,734
 245  A*02:01-B*51:01-C*14:02-DRB1*11:01  Germany DKMS - Austria minority 0.24301,698
 246  A*24:02-B*51:01-C*14:02-DRB1*08:03-DQB1*06:01  USA Asian pop 2 0.24101,772
 247  A*03:01-C*14:02  Italy pop 5 0.2400975
 248  A*24:02-C*14:02  Italy pop 5 0.2400975
 249  A*31:01-B*51:01-C*14:02-DRB1*04:05  Japan pop 16 0.240018,604
 250  A*01:01:01-B*39:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 251  A*24:02-B*51:01-C*14:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.23003,078
 252  A*31:01-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.23003,078
 253  A*31:01-B*51:01-C*14:02-DRB1*14:03-DQA1*05:03-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.23003,078
 254  A*32:01:01-B*51:01:01-C*14:02:01-DRB1*11:04:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 255  A*32:01:01-B*51:01:01-C*14:02:01-DRB1*11:04:01-DQB1*03:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 256  A*03:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.22972,492
 257  A*31:01-B*51:01-C*14:02-DRB1*09:01  Japan pop 16 0.229018,604
 258  A*02:01-B*51:01-C*14:02-DRB1*08:01  Germany DKMS - Croatia minority 0.22802,057
 259  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.22731,734
 260  A*68:01-B*51:01-C*14:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.22702,492
 261  A*03:01:01-B*51:01:01-C*14:02:01-DRB1*04:07-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.2262221
 262  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*07:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 263  A*30:02:01-B*15:16:01-C*14:02:01-DRB1*03:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.2262221
 264  A*02:01-B*51:01-C*14:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.22604,856
 265  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQB1*04:02-DPB1*03:01  Russia Karelia 0.22531,075
 266  A*23:01-B*15:16-C*14:02-DRB1*14:06-DQA1*03:01-DQB1*03:02-DPB1*03:01  Nicaragua Managua 0.2165339
 267  A*74:01-B*35:01-C*14:02-DRB1*15:03-DQA1*01:02-DQB1*05:03-DPB1*01:01  Nicaragua Managua 0.2165339
 268  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*04:03:01-DQB1*03:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.215328,927
 269  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.21231,734
 270  A*02:01-B*51:01-C*14:02-DRB1*11:01  Germany DKMS - Netherlands minority 0.21201,374
 271  A*02:01-B*51:01-C*14:02-DRB1*16:01  Germany DKMS - Romania minority 0.21201,234
 272  A*33:03-B*15:16-C*14:02-DRB1*01:02-DQB1*05:01  USA NMDP Black South or Central American 0.21004,889
 273  B*15:16-C*14:02  Mexico Mexico City Mestizo pop 2 0.2100234
 274  A*11:01-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.20801,772
 275  A*02:01-B*51:01-C*14:02-DRB1*11:01  Germany DKMS - Spain minority 0.20701,107
 276  A*01:01-B*37:01:01-C*14:02:01-DRB1*07:01:01-DQB1*03:03:02  England North West 0.2000298
 277  A*02:01-B*51:01-C*14:02:01-DRB1*04:01:01-DQB1*03:01  England North West 0.2000298
 278  A*02:01-B*51:01-C*14:02:01-DRB1*08:01-DQB1*04:02  England North West 0.2000298
 279  A*02:01-B*51:01-C*14:02-DRB1*03:01  Italy pop 5 0.2000975
 280  A*03:01-B*51:01-C*14:02:01-DRB1*11:03-DQB1*03:02:01  England North West 0.2000298
 281  A*25:01-B*51:01-C*14:02:01-DRB1*14:01-DQB1*05:03:01  England North West 0.2000298
 282  A*29:02:01-B*15:16-C*14:02:01-DRB1*04:01:01-DQB1*03:01  England North West 0.2000298
 283  A*68:01-B*51:01-C*14:02-DRB1*07:01  Italy pop 5 0.2000975
 284  A*66:01-B*51:01-C*14:02-DRB1*08:01  Germany DKMS - Bosnia and Herzegovina minority 0.19501,028
 285  A*01:01:01-B*49:01:01-C*14:02:01-DRB1*03:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 286  A*01:01:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 287  A*01:01:01-B*58:02:01-C*14:02:01-DRB1*12:02:02-DQB1*06:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 288  A*03:01:01-B*50:01:01-C*14:02:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 289  A*03:01:01-B*51:01:01-C*14:02:01-DRB1*01:77-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 290  A*23:01:01-B*35:01:01-C*14:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 291  A*24:03:01-B*40:02:01-C*14:02:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 292  A*30:01:01-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 293  A*30:02:01-B*58:01:01-C*14:02:01-DRB1*07:01:01-DQB1*04:02:01-DPA1*02:01:08-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 294  A*68:01:01-B*40:01:02-C*14:02:01-DRB1*04:07:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*05:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 295  A*68:02:01-B*15:16:01-C*14:02:01-DRB1*01:02:01-DQB1*03:03:02-DPA1*02:01:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 296  A*02:01-B*51:01-C*14:02-DRB1*13:01  Germany DKMS - United Kingdom minority 0.19101,043
 297  A*02:02-B*15:16-C*14:02-DRB1*04:05-DQB1*03:02-DPB1*105:01  Panama 0.1900462
 298  A*02:02-B*35:43-C*14:02-DRB1*04:07-DQB1*05:01-DPB1*02:01  Panama 0.1900462
 299  A*23:01-B*15:03-C*14:02-DRB1*14:02-DQB1*05:01-DPB1*04:02  Panama 0.1900462
 300  A*23:01-B*51:07-C*14:02-DRB1*09:01-DQB1*05:01-DPB1*01:01  Panama 0.1900462

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 3,244) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 33  


   

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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