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 401 to 500 (from 19,637) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 197  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 401  A*02:01:01-B*15:01:01-C*03:03-DRB1*13:01  South Africa Caucasians 1.6700102
 402  A*01-B*35-DRB1*13-DQB1*03:01  Mexico Jalisco, Tlajomulco 1.666730
 403  A*01-B*35-DRB1*13-DQB1*03:01  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 404  A*01-B*41-DRB1*13-DQB1*03:01  Mexico Morelos Rural 1.666730
 405  A*02-B*51-DRB1*13:01-DQB1*06:03  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 406  A*02-B*51-DRB1*13-DQB1*03:01  Mexico Jalisco, Tlajomulco 1.666730
 407  A*11-B*44-DRB1*13-DQB1*06  Mexico Jalisco, Tlajomulco 1.666730
 408  A*24-B*35-DRB1*13-DQB1*06  Mexico Jalisco, Tlajomulco 1.666730
 409  A*68-B*14:02-DRB1*13-DQB1*03:01  Mexico Jalisco, Tlajomulco 1.666730
 410  A*68-B*53-DRB1*13-DQB1*06  Mexico Jalisco, Tlajomulco 1.666730
 411  A*68-B*07-DRB1*13-DQB1*06  Mexico Colima, Colima city 1.639361
 412  A*33:03-B*58:01-C*03:02-DRB1*13:02  Germany DKMS - China minority 1.63101,282
 413  A*68:02:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01  Spain, Canary Islands, Gran canaria island 1.6300215
 414  A*02:01-B*40:01-C*03:04-DRB1*13:02  Germany DKMS - Netherlands minority 1.62601,374
 415  DRB1*13:03-DQB1*02:01  USA African American pop 4 1.60102,411
 416  A*02:01:01-B*44:02:01-DRB1*13:01:01  Madeira 1.6000185
 417  A*02:01:01-B*51:01:01-DRB1*13:01:01  Cape Verde Southeastern Islands 1.600062
 418  A*02-B*45-DRB1*13  Mozambique 1.6000202
 419  A*03:01:01-B*08:01-DRB1*13:04  Cape Verde Northwestern Islands 1.600062
 420  A*23:01-B*49:01-DRB1*13:02:01  Cape Verde Northwestern Islands 1.600062
 421  A*26:01-B*58:01-DRB1*13:04  Cape Verde Southeastern Islands 1.600062
 422  A*26-B*38-C*12-DRB1*13-DQB1*06  Spain Minorca 1.600094
 423  A*69:01-B*15:01:01-DRB1*13:02:01  Cape Verde Southeastern Islands 1.600062
 424  A*74:01-B*53:01-DRB1*13:04  Cape Verde Southeastern Islands 1.600062
 425  DRB1*13:01-DQA1*01:02-DQB1*06:03  India Uttar Pradesh 1.6000202
 426  DRB1*13:01-DQA1*01:03-DQB1*06:03  Mexico Highlands Mestizos 1.6000160
 427  DRB1*13:01-DQB1*06:03-DPB1*04:01  Greece pop3 1.6000246
 428  DRB1*13:02-DQA1*01:02-DQB1*06:04  Mexico Highlands Mestizos 1.6000160
 429  DRB1*13:02-DQA1*01:02-DQB1*06:04  India Uttar Pradesh 1.6000202
 430  DRB1*13:02-DQA1*01:02-DQB1*06:04  Italy Sardinia Sorgono 1.600093
 431  DRB1*13:02-DQA1*01:02-DQB1*06:09  Cameroon Yaounde 1.600092
 432  DRB1*13:03-DQA1*02:01-DQB1*02:02  Cameroon Yaounde 1.600092
 433  DRB1*13:03-DQA1*05:01-DQB1*03:01  USA San Francisco Caucasian 1.6000220
 434  DRB1*13:03-DQA1*05:01-DQB1*03:01  Italy Sardinia Oristano 1.600091
 435  DRB1*13:03-DQA1*05:01-DQB1*03:01  Italy Sardinia Carbonia 1.600091
 436  DRB1*13-DQA1*05-DQB1*03  USA San Francisco Caucasian 1.6000220
 437  A*02:01-B*41:02-DRB1*13:03  Israel Libya Jews 1.59003,739
 438  DRB1*13:02-DQB1*06:04  USA African American pop 4 1.59002,411
 439  A*02:01-B*41:02-DRB1*13:03-DQB1*03:01  Tunisia Gabes 1.570095
 440  A*24:02-B*15:03-DRB1*13:02-DQB1*06:04  Tunisia Gabes 1.570095
 441  A*24-B*55-C*03-DRB1*13  Macedonia MBMDR - Albanian 1.5625128
 442  A*74-B*14:02-DRB1*13-DQB1*02  Mexico Nayarit Rural 1.562564
 443  A*03:01-B*14:02-DRB1*13:02  Israel Ethiopia Jews 1.54005,928
 444  A*03-B*15-C*04-DRB1*13-DQB1*06  Sudan Khartoum 1.540098
 445  A*02-B*51-DRB1*13  Albania pop 2 1.5200432
 446  DRB1*13:02:01-DQB1*06:04  China Inner Mongolia Autonomous Region Northeast 1.5120496
 447  A*01:01:01-B*58:01-DRB1*13:04  Guinea Bissau 1.500065
 448  A*02:01:01-B*07:05/07:06-DRB1*13:04  Guinea Bissau 1.500065
 449  A*02:01-B*45:01-C*16:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 1.5000100
 450  A*02:02-B*27:03-DRB1*13:04  Guinea Bissau 1.500065
 451  A*02-B*38-DRB1*13  Russia South Ural Tatar 1.5000135
 452  A*02-B*39-DRB1*13  Brazil Parana Oriental 1.500033
 453  A*02-B*44-DRB1*13  Brazil Rio Grande do Sul Mixed 1.5000324
 454  A*02-B*51-DRB1*13  Portugal Guarda 1.5000797
 455  A*26:01-B*08:01-DRB1*13:04  Guinea Bissau 1.500065
 456  A*30:02-B*08:01-DRB1*13:04  Guinea Bissau 1.500065
 457  A*68:02-B*53:01-DRB1*13:03  Sao Tome Island Forro 1.500066
 458  A*68-B*51-DRB1*13  Brazil Parana Oriental 1.500033
 459  A*74:01-B*49:01-DRB1*13:04  Guinea Bissau 1.500065
 460  A*74:01-B*53:01-DRB1*13:04  Guinea Bissau 1.500065
 461  DRB1*13:01-DQA1*01:03-DQB1*06:03  Ethiopia Amhara 1.500098
 462  DRB1*13:01-DQA1*01:03-DQB1*06:05/06:09  Russia Siberia Khanty Mansi 1.500068
 463  DRB1*13:03-DQB1*03:01  Vietnam Hanoi Kinh 1.5000103
 464  DRB1*13:05-DQB1*03:01  Israel Moroccan Jews 1.5000113
 465  A*02-B*15:01-DRB1*13-DQB1*03:01  Mexico Mexico City West 1.470633
 466  A*02-B*35-DRB1*13-DQB1*06  Mexico Mexico City West 1.470633
 467  A*01:01:01-B*44:02:01-C*07:18:01-DRB1*13:03:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 468  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 469  A*02:01:01-B*53:01:01-C*06:02:01-DRB1*13:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 470  A*03:01:01-B*15:10:01-C*17:03:01-DRB1*13:03:01-DQB1*03:19:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Rio de Janeiro Black 1.470668
 471  A*11:01:01-B*58:01:01-C*01:02:01-DRB1*13:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Black 1.470668
 472  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*04:02:01  Brazil Rio de Janeiro Black 1.470668
 473  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Black 1.470668
 474  A*29:02:01-B*15:03:01-C*02:10:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Black 1.470668
 475  A*31:01:02-B*39:03:01-C*18:02:01-DRB1*13:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*14:01:01  Brazil Rio de Janeiro Black 1.470668
 476  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01-DPA1*02:01:01-DPB1*30:01:01  Brazil Rio de Janeiro Black 1.470668
 477  A*66:01:01-B*35:03:01-C*04:01:01-DRB1*13:03:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*11:01:01  Brazil Rio de Janeiro Black 1.470668
 478  A*02-B*51-DRB1*13-DQB1*06  Mexico Sinaloa, Culiacán 1.4563103
 479  A*03-B*14:02-DRB1*13-DQB1*06  Mexico Jalisco, Tonala 1.428635
 480  A*23-B*41-DRB1*13-DQB1*03:01  Mexico Jalisco, Tonala 1.428635
 481  A*23-B*42-DRB1*13-DQB1*05  Mexico Jalisco, Tonala 1.428635
 482  A*26-B*51-DRB1*13-DQB1*06  Mexico Jalisco, Tonala 1.428635
 483  A*74-B*08-DRB1*13-DQB1*03:01  Mexico Jalisco, Tonala 1.428635
 484  DRB1*13:02-DQB1*06:09-DPB1*17:01  Gambia pop 3 1.4131939
 485  DRB1*13:02:01-DQB1*06:09  China Inner Mongolia Autonomous Region Northeast 1.4110496
 486  A*02:01:01-B*45:01:01-C*16:01:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*01:01:01  South African Black 1.4080142
 487  A*02-B*44-DRB1*13  Brazil Rio Grande do Sul Black 1.4000248
 488  A*02-B*44-DRB1*13  Portugal Faro 1.40001,242
 489  A*02-B*44-DRB1*13  Portugal Beja 1.4000699
 490  A*02-B*51-DRB1*13  Portugal Portalegre 1.40001,254
 491  A*24-B*44-DRB1*13  Portugal Castelo Branco 1.4000327
 492  A*33-B*44-DRB1*13  China Jiangsu Province 1.400020,248
 493  A*33-B*58-DRB1*13  Thailand pop 4 1.400016,807
 494  DRB1*13:01-DQA1*01:03-DQB1*06:03  Australia New South Wales Aborigine 1.4000177
 495  DRB1*13:01-DQB1*06:03-DPB1*04:01  Ireland South 1.4000250
 496  DRB1*13:02-DQA1*01:02-DQB1*06:05/06:09  Russia Siberia Ulchi 1.400073
 497  DRB1*13:02-DQA1*01:02-DQB1*06:09  USA San Francisco Caucasian 1.4000220
 498  DRB1*13:03-DQA1*05:01-DQB1*03:01  Greece pop3 1.4000246
 499  DRB1*13:05-DQA1*05:01  Israel Moroccan Jews 1.4000113
 500  A*68-DRB1*13  Macedonia 1.3986286

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 401 to 500 (from 19,637) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 197  


   

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