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 801 to 900 (from 8,453) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 85  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 801  A*02:01-B*15:03-C*02:10-DRB1*11:01-DQB1*03:19-DPB1*39:01  Tanzania Maasai 0.3195336
 802  A*36:01-B*58:01-C*16:01-DRB1*11:01-DQB1*03:02-DPB1*01:01  Tanzania Maasai 0.3195336
 803  A*68:02-B*15:10-C*03:04-DRB1*11:01-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.3195336
 804  A*02:07-B*46:01-C*01:02-DRB1*11:01  Germany DKMS - China minority 0.31601,282
 805  A*03:01-B*51:01-DRB1*11:01  Israel Kavkazi Jews 0.31502,840
 806  A*01:01:01-B*44:03:01-C*16:01:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 807  A*02:01:01-B*35:08:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 808  A*02:01:01-B*44:03:01-C*04:01:01-DRB1*11:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*18:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 809  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*03:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 810  A*11:01:01-B*15:09:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 811  A*11:01:01-B*35:02:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 812  A*11:01:01-B*45:01:01-C*02:02:02-DRB1*11:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 813  A*11:01:01-B*58:01:01-C*07:18:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 814  A*23:17:01-B*81:01:01-C*08:02:01-DRB1*11:01:02-DQB1*06:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 815  A*26:01:01-B*35:03:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*02:01:04-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 816  A*29:02:01-B*53:01:01-C*04:01:01-DRB1*11:01:02-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 817  A*30:02:01-B*18:01:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 818  A*32:01:01-B*08:01:01-C*07:01:01-DRB1*11:01:02-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 819  A*68:02:01-B*38:01:01-C*12:03:01-DRB1*11:01:02-DQB1*02:02:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 820  A*68:02:01-B*81:01:01-C*18:01:01-DRB1*11:01:02-DQB1*03:19:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 821  DRB1*11:01-DQB1*05:03  Italy pop 5 0.3100975
 822  A*02:01-B*46:01-DRB1*11:01  Hong Kong Chinese cord blood registry 0.30833,892
 823  A*68:01-B*44:02-C*07:04-DRB1*11:01  Germany DKMS - Netherlands minority 0.30801,374
 824  A*69:01-B*55:01-C*01:02-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.30761,463
 825  A*68:01-B*44:02-C*07:04-DRB1*11:01  Poland DKMS 0.306420,653
 826  A*02:01-B*35:01-DRB1*11:01-DQB1*03:01  Mexico Mexico City Tlalpan 0.3030330
 827  A*23:01-B*18:01-DRB1*11:01-DQB1*03:01  Mexico Mexico City Tlalpan 0.3030330
 828  A*24:02-B*35:01-DRB1*11:01-DQB1*03:01  Mexico Mexico City Tlalpan 0.3030330
 829  A*01:01-B*07:02-C*07:02-DRB1*11:01-DQA1*05:01-DQB1*06:02-DPB1*01:01  South Africa Worcester 0.3000159
 830  A*01:01-B*58:02-C*18:01-DRB1*11:01-DQA1*01:02-DQB1*03:02-DPB1*04:01  South Africa Worcester 0.3000159
 831  A*02:01-B*44:02-C*05:01-DRB1*11:01  Italy pop 5 0.3000975
 832  A*02:01-B*45:01-C*16:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:02  South Africa Worcester 0.3000159
 833  A*02:01-B*51:01-C*15:02-DRB1*11:01  Italy pop 5 0.3000975
 834  A*02:05-B*41:01-C*17:01-DRB1*11:01-DQA1*03:01-DQB1*03:01-DPB1*01:01  South Africa Worcester 0.3000159
 835  A*02:05-B*58:01-C*07:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*01:01  South Africa Worcester 0.3000159
 836  A*02-B*40-DRB1*11:01  USA NMDP Asian and Pacific Islander 0.3000359,423
 837  A*02-B*44-DRB1*11:01  USA NMDP Caucasian 0.30002,361,208
 838  A*02-B*51-DRB1*11:01  USA NMDP Caucasian 0.30002,361,208
 839  A*03:01-B*51:01-C*07:01-DRB1*11:01-DQA1*01:02-DQB1*05:01-DPB1*01:01  South Africa Worcester 0.3000159
 840  A*03:02-B*51:01-C*15:02-DRB1*11:01  Italy pop 5 0.3000975
 841  A*11-B*40-DRB1*11:01  USA NMDP Asian and Pacific Islander 0.3000359,423
 842  A*23:01-B*15:03-C*14:02-DRB1*11:01-DQA1*05:11-DQB1*02:02-DPB1*105:01  South Africa Worcester 0.3000159
 843  A*23-B*15-DRB1*11:01  USA NMDP African American 0.3000412,861
 844  A*24:02-B*15:10-C*12:02-DRB1*11:01-DQA1*03:01-DQB1*03:01-DPB1*02:01  South Africa Worcester 0.3000159
 845  A*24:02-B*51:01-C*15:02-DRB1*11:01-DQA1*05:05-DQB1*06:02-DPB1*03:01  South Africa Worcester 0.3000159
 846  A*24-B*40-DRB1*11:01  USA NMDP Asian and Pacific Islander 0.3000359,423
 847  A*29:01-B*08:01-C*02:02-DRB1*11:01-DQA1*01:02-DQB1*06:02-DPB1*01:01  South Africa Worcester 0.3000159
 848  A*29:02-B*15:10-C*16:01-DRB1*11:01-DQA1*01:02-DQB1*06:04-DPB1*13:01  South Africa Worcester 0.3000159
 849  A*29:02-B*44:03-C*07:01-DRB1*11:01-DQA1*05:02-DQB1*03:01-DPB1*01:01  South Africa Worcester 0.3000159
 850  A*30:01-B*15:03-C*02:10-DRB1*11:01-DQA1*05:05-DQB1*06:09-DPB1*02:01  South Africa Worcester 0.3000159
 851  A*30:02-B*18:01-C*07:01-DRB1*11:01-DQA1*03:01-DQB1*06:02-DPB1*01:01  South Africa Worcester 0.3000159
 852  A*30:02-B*53:01-C*12:03-DRB1*11:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  South Africa Worcester 0.3000159
 853  A*32:01-B*51:01-C*03:03-DRB1*11:01-DQB1*03:01  England North West 0.3000298
 854  A*32:01-B*81:01-C*18:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*01:01  South Africa Worcester 0.3000159
 855  A*36:01-B*42:02-C*04:01-DRB1*11:01-DQA1*01:03-DQB1*06:03-DPB1*01:01  South Africa Worcester 0.3000159
 856  A*66:01-B*81:01-C*18:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*13:01  South Africa Worcester 0.3000159
 857  A*66:03-B*53:01-C*02:10-DRB1*11:01-DQA1*01:01-DQB1*03:01-DPB1*02:01  South Africa Worcester 0.3000159
 858  A*68:01-B*40:01-C*03:04-DRB1*11:01  Italy pop 5 0.3000975
 859  A*68:02-B*53:01-C*04:01-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPB1*105:01  South Africa Worcester 0.3000159
 860  A*74-B*15-DRB1*11:01  USA NMDP African American 0.3000412,861
 861  A*24:02-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.29301,159
 862  A*03:01-B*35:01-C*04:01-DRB1*11:01  Germany DKMS - Bosnia and Herzegovina minority 0.29201,028
 863  A*24:02-B*40:01-DRB1*11:01  Israel Tunisia Jews 0.29209,070
 864  A*24:02-B*40:02-C*02:02-DRB1*11:01  Germany DKMS - Bosnia and Herzegovina minority 0.29101,028
 865  A*32:01-B*40:02-C*02:02-DRB1*11:01  Germany DKMS - Netherlands minority 0.29101,374
 866  DRB1*11:01-DQB1*06:02-DPB1*105:01  Gambia pop 3 0.2903939
 867  A*02:01-B*35:03-C*04:01-DRB1*11:01  Germany DKMS - Bosnia and Herzegovina minority 0.29001,028
 868  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Italy pop 5 0.2900975
 869  A*02:01-B*51:01-C*15:02-DRB1*11:01-DQB1*03:01  Italy pop 5 0.2900975
 870  A*24:02-B*51:01-C*15:02-DRB1*11:01-DQB1*03:01  Italy pop 5 0.2900975
 871  A*25:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01  Italy pop 5 0.2900975
 872  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Italy pop 5 0.2900975
 873  A*02:06-B*48:03-DRB1*11:01  Hong Kong Chinese cord blood registry 0.28993,892
 874  A*01:01-B*07:02-C*07:02-DRB1*11:01  Germany DKMS - United Kingdom minority 0.28801,043
 875  A*02:01-B*40:01-C*03:04-DRB1*11:01  Germany DKMS - United Kingdom minority 0.28801,043
 876  A*02:01-B*44:02-C*05:01-DRB1*11:01  Germany DKMS - United Kingdom minority 0.28801,043
 877  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.28804,856
 878  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Karnataka Kannada Speaking 0.2870174
 879  A*01:01:01-B*40:01:01-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  India Karnataka Kannada Speaking 0.2870174
 880  A*03:01:01-B*15:05:01-C*03:03:01-DRB1*11:01:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 881  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  India Karnataka Kannada Speaking 0.2870174
 882  A*33:03:01-B*51:01:01-C*05:01:01-DRB1*11:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 883  A*68:01:01-B*27:07:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  India Karnataka Kannada Speaking 0.2870174
 884  A*68:01:02-B*40:06:01-C*12:02:01-DRB1*11:01:01-DQB1*06:09:01  India Karnataka Kannada Speaking 0.2870174
 885  A*02:01-B*15:01-C*03:03-DRB1*11:01  Germany DKMS - France minority 0.28401,406
 886  A*02:01-B*40:01-C*03:04-DRB1*11:01  Germany DKMS - Romania minority 0.28401,234
 887  A*29:01-B*55:01-DRB1*11:01  Israel Kavkazi Jews 0.28402,840
 888  DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:02  China Zhejiang Han pop 2 0.2819833
 889  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.2810356
 890  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.2810356
 891  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.2810356
 892  A*02:06-B*48:01-C*08:01-DRB1*11:01-DQB1*03:01  USA NMDP Hawaiian or other Pacific Islander 0.280711,499
 893  A*24:02-B*44:03-C*04:01-DRB1*11:01  Poland DKMS 0.276920,653
 894  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.274323,595
 895  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.27341,734
 896  A*11:01-B*07:02-C*07:02-DRB1*11:01  Germany DKMS - Portugal minority 0.27201,176
 897  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.27071,510
 898  A*01-B*41-DRB1*11:01  Colombia Barranquilla 0.2700188
 899  A*01-B*44-DRB1*11:01  Colombia Barranquilla 0.2700188
 900  A*01-B*52-DRB1*11:01  Colombia Barranquilla 0.2700188

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 801 to 900 (from 8,453) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 85  


   

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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