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 3,204) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 33  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*01:104-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.00865,829
 202  A*01:28-B*35:01:01-C*04:01:01-DRB1*01:02:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 203  A*02:01:01/02:01:09-B*35:01/35:02/35:03-C*04:01:01  Mexico Chihuahua Tarahumara 3.400044
 204  A*02:01:01:01-B*35:01:01-C*04:01:01:05-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 205  A*02:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.5208192
 206  A*02:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.21911,510
 207  A*02:01:01:01-B*35:01:01-C*04:01:01-DRB1*04:01:01-DQB1*03:02  Russia Bashkortostan, Bashkirs 0.4167120
 208  A*02:01:01:01-B*35:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.06891,510
 209  A*02:01:01:01-B*35:01:01-C*04:01:01-DRB1*04:05:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 210  A*02:01:01:01-B*35:01:01-C*04:01:01-DRB1*08:03:02-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.08771,510
 211  A*02:01:01:01-B*35:01:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03341,510
 212  A*02:01:01:01-B*35:01:01-C*04:01:01-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.07151,510
 213  A*02:01:01-B*35:01:01-C*04:01:01  England Blood Donors of Mixed Ethnicity 1.3511519
 214  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 215  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 216  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*02:01:01  Poland BMR 0.011623,595
 217  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*02:02:01  Poland BMR 0.008723,595
 218  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:01:01  Poland BMR 0.015523,595
 219  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:02:01  Poland BMR 0.004023,595
 220  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:03:02  Poland BMR 0.002523,595
 221  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.179723,595
 222  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.7000215
 223  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.3891521
 224  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*06:03:01  Poland BMR 0.007923,595
 225  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQA1*01:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 226  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*05:01:01  Russia Bashkortostan, Bashkirs 0.5387120
 227  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:02:01-DQB1*05:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 228  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:03-DQB1*03:01:01  Poland BMR 0.002323,595
 229  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*03:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 230  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002823,595
 231  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.005623,595
 232  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:02:01-DQB1*02:02:01  Poland BMR 0.002123,595
 233  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.005823,595
 234  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:03:01  Nicaragua Mestizo (G) 0.3226155
 235  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002223,595
 236  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 237  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.004123,595
 238  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:07  Nicaragua Mestizo (G) 0.3226155
 239  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 240  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.029623,595
 241  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.007823,595
 242  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*08:01-DQA1*02:01:01-DQB1*02:02-DPA1*02:01:01-DPB1*03:01:01  Russia Belgorod region 0.3268153
 243  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 1.388972
 244  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*08:03:02-DQB1*03:01:01  India Kerala Malayalam speaking 0.2810356
 245  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*08:04:01-DQB1*04:02:01  Poland BMR 0.003123,595
 246  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*09:01:02  Costa Rica African -Caribbean (G) 0.9804102
 247  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*09:01:02-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00635,266
 248  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.002223,595
 249  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*10:01:01-DQB1*06:02:01  Poland BMR 0.001323,595
 250  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*02:02:01  Poland BMR 0.002423,595
 251  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.040423,595
 252  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*05:01:01  Poland BMR 0.002323,595
 253  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*05:02:01  Poland BMR 0.002723,595
 254  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*11:02:01  Costa Rica African -Caribbean (G) 0.4902102
 255  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.003723,595
 256  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*11:03:01-DQB1*06:04:01  Poland BMR 0.002123,595
 257  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.002523,595
 258  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:01  Nicaragua Mestizo (G) 0.3226155
 259  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 260  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.048823,595
 261  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 262  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 263  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.007523,595
 264  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:05:01-DQB1*03:01:01  Poland BMR 0.010123,595
 265  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*14:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 266  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*14:01:01-DQB1*05:03:01  Poland BMR 0.042123,595
 267  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*14:03:01-DQB1*03:01:01  China Zhejiang Han 0.05771,734
 268  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*14:06:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 1.388972
 269  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.026223,595
 270  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.011523,595
 271  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 272  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQB1*06:03:01  Poland BMR 0.009523,595
 273  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*16:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00925,266
 274  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*16:02:01-DQB1*05:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 275  A*02:01:01-B*35:01:01-C*04:01-DRB1*01:01  South Africa Caucasians 1.6700102
 276  A*02:01:01-B*35:01:23-C*04:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 277  A*02:01:09-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 278  A*02:01-B*35:01-C*04:01  Italy pop 5 3.5500975
 279  A*02:01-B*35:01-C*04:01  Mali Bandiagara 1.2000138
 280  A*02:01-B*35:01-C*04:01  USA Caucasian pop 2 1.1000265
 281  A*02:01-B*35:01-C*04:01  USA North American Native 1.3000187
 282  A*02:01-B*35:01-C*04:01-DRB1*01:01  Brazil Vale do Ribeira Quilombos 0.6944144
 283  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - United Kingdom minority 0.19701,043
 284  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Netherlands minority 0.46101,374
 285  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Croatia minority 0.09102,057
 286  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Portugal minority 0.48001,176
 287  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Romania minority 0.43101,234
 288  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Austria minority 0.19801,698
 289  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Bosnia and Herzegovina minority 0.54001,028
 290  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Spain minority 0.10201,107
 291  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - France minority 0.53301,406
 292  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Greece minority 0.18101,894
 293  A*02:01-B*35:01-C*04:01-DRB1*01:01  Hong Kong Chinese BMDR 0.00667,595
 294  A*02:01-B*35:01-C*04:01-DRB1*01:01  Italy pop 5 0.7000975
 295  A*02:01-B*35:01-C*04:01-DRB1*01:01  Poland DKMS 0.242520,653
 296  A*02:01-B*35:01-C*04:01-DRB1*01:01:01-DQB1*05:01:01  England North West 1.0000298
 297  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.11804,856
 298  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.19201,159
 299  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 300  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.05165,829

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 3,204) 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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