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 301 to 400 (from 1,552) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 16  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*30:01:01-B*15:01:01:01-C*03:04:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2384192
 302  A*01:01:01-B*40:01:02-C*03:04:01-DRB1*14:01:01-DQB1*05:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 303  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*09:01:02-DQB1*03:03:02  Spain, Canary Islands, Gran canaria island 0.2300215
 304  A*23:01:01-B*40:01:02-C*03:04:01-DRB1*01:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 305  A*23:01:01-B*40:01:02-C*03:04:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 306  A*32:01:01-B*40:01:02-C*03:04:01-DRB1*01:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 307  A*36:01-B*40:01:02-C*03:04:01-DRB1*01:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 308  A*02:01:01-B*40:01:01-C*03:04:01-DRB1*04:04:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.2262221
 309  A*24:02:01-B*40:01:01-C*03:04:01-DRB1*11:03-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 310  A*25:01:01-B*08:01:01-C*03:04:01-DRB1*13:04-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 311  A*68:01:01-B*49:01:01-C*03:04:01-DRB1*10:01:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 312  A*68:01:02-B*40:02:01-C*03:04:01-DRB1*04:07-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.2262221
 313  A*68:01:02-B*58:01:01-C*03:04:01-DRB1*08:04:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 314  A*68:03:01-B*35:01:01-C*03:04:01-DRB1*14:02-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 315  A*24:02:01-B*40:02:01-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.20181,734
 316  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.19851,734
 317  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.196523,595
 318  A*01:01:01-B*08:01:01-C*03:04:01-DRB1*12:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 319  A*01:01:01-B*51:01:01-C*03:04:01-DRB1*13:02:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 320  A*02:01:01-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 321  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 322  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 323  A*02:01:01-B*51:04:01-C*03:04:01-DRB1*04:11:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 324  A*03:01:01-B*15:01:01-C*03:04:01-DRB1*03:01:01-DQB1*06:03:01-DPA1*02:01:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 325  A*03:01:01-B*40:01:02-C*03:04:01-DRB1*04:04:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 326  A*03:01:01-B*40:01:02-C*03:04:01-DRB1*04:04:01-DQB1*06:03:01-DPA1*02:01:01-DPB1*06:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 327  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*12:10-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 328  A*24:02:01-B*45:01:01-C*03:04:01-DRB1*07:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 329  A*24:03:01-B*40:02:01-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 330  A*26:01:01-B*08:01:01-C*03:04:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*124:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 331  A*68:01:01-B*51:01:01-C*03:04:01-DRB1*04:11:01-DQB1*03:02:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 332  A*68:01:02-B*39:02:02-C*03:04:01-DRB1*08:04:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 333  A*68:01:02-B*40:04:01-C*03:04:01-DRB1*09:01:02-DQB1*05:01:01-DPA1*01:03:01-DPB1*01:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 334  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.18455,266
 335  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*11:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.18365,266
 336  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.183423,595
 337  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.17695,266
 338  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.175323,595
 339  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.17301,734
 340  A*02:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.16601,510
 341  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.16211,734
 342  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.155523,595
 343  A*02:01:01-B*40:01:01-C*03:04:01-DRB1*03:01:01-DQB1*05:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.148028,927
 344  A*24:02:01-B*13:01:01-C*03:04:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.14235,266
 345  A*01:01:01-B*40:01:02-C*03:04:01-DRB1*08:03:02-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 346  A*02:01:01-B*15:01:01-C*03:04:01-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 347  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*04:03:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 348  A*02:11:01-B*40:01:02-C*03:04:01-DRB1*08:02:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 349  A*11:01:01-B*07:02:01-C*03:04:01-DRB1*15:02:02-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 350  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*15:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 351  A*11:01:01-B*55:01:01-C*03:04:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 352  A*24:02:01-B*51:01:01-C*03:04:01-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356
 353  A*24:02:01-B*58:01:01-C*03:04:01-DRB1*13:02:01-DQB1*04:02:01  India Kerala Malayalam speaking 0.1400356
 354  A*33:03:01-B*40:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 355  A*33:03:01-B*40:01:02-C*03:04:01-DRB1*11:04:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 356  A*02:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.13511,510
 357  A*02:01:01-B*40:02:01-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.13491,734
 358  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.134923,595
 359  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*15:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.12745,266
 360  A*11:01:01-B*40:02:01-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.12461,734
 361  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.11931,734
 362  A*24:02:01:01-B*40:02:01-C*03:04:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.11781,510
 363  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*15:01:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.11765,266
 364  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.11551,734
 365  A*31:01:02-B*40:01:02-C*03:04:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.115323,595
 366  A*02:03:01-B*40:01:02-C*03:04:01-DRB1*14:54:01-DQB1*05:03:01  China Zhejiang Han 0.11531,734
 367  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*04:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.11305,266
 368  A*24:02:01-B*13:01:01-C*03:04:01-DRB1*15:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.11265,266
 369  A*24:02:01-B*13:01:01-C*03:04:01-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.11235,266
 370  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*04:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.11115,266
 371  A*02:01:01-B*13:01:01-C*03:04:01-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.10835,266
 372  A*02:07:01-B*13:01:01-C*03:04:01-DRB1*15:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.10585,266
 373  A*68:03:01-B*35:03:01-C*03:04:01-DRB1*15:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.1052221
 374  A*68:03:01-B*35:03:01-C*03:04:01-DRB1*15:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.1052221
 375  A*26:01:01-B*40:01:02-C*03:04:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.10261,510
 376  A*02:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.10181,510
 377  A*23:01:01-B*40:01:02-C*03:04:01  England Blood Donors of Mixed Ethnicity 0.1015519
 378  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.10045,266
 379  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.09995,266
 380  A*11:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.09931,510
 381  A*68:01:02:02-B*40:01:02-C*03:04:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 382  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.098123,595
 383  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.097923,595
 384  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.09651,734
 385  A*02:01:01-B*35:01:01-C*03:04:01  England Blood Donors of Mixed Ethnicity 0.0963519
 386  A*25:01:01-B*07:02:01-C*03:04:01  England Blood Donors of Mixed Ethnicity 0.0963519
 387  A*31:01:02-B*15:01:01-C*03:04:01  England Blood Donors of Mixed Ethnicity 0.0963519
 388  A*30:02:01-B*15:01:01-C*03:04:01-DRB1*13:02:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.0959221
 389  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.09555,266
 390  A*02:01:01-B*13:01:01-C*03:04:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.09535,266
 391  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.090023,595
 392  A*03:01:01-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.089523,595
 393  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.08721,734
 394  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*04:06:01-DQB1*03:02:01  China Zhejiang Han 0.08671,734
 395  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.08661,734
 396  A*02:01:01-B*15:01:01-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.08651,734
 397  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.08651,734
 398  A*24:02:01-B*13:01:01-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.08531,734
 399  A*02:01:01-B*13:01:01-C*03:04:01-DRB1*15:01:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.08295,266
 400  A*02:01:01-B*13:01:01-C*03:04:01-DRB1*15:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.08175,266

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 301 to 400 (from 1,552) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 16  


   

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