Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 801 to 900 (from 9,386) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 94  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 801  A*30:01:01-B*42:01:01-C*17:01:01-DRB1*11:01:02  Nicaragua Mestizo (G) 0.3226155
 802  A*32:01:01-B*27:02:01-C*02:02:02-DRB1*11:01  Nicaragua Mestizo (G) 0.3226155
 803  A*32:01:01-B*35:03:01-C*07:01:01-DRB1*11:01  Nicaragua Mestizo (G) 0.3226155
 804  A*32:01:01-B*35:03:01-C*16:02:01-DRB1*11:01  Nicaragua Mestizo (G) 0.3226155
 805  A*32:01:01-B*35:08:01-C*04:01:01-DRB1*11:01  Nicaragua Mestizo (G) 0.3226155
 806  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*11:01  Nicaragua Mestizo (G) 0.3226155
 807  A*68:01:01-B*52:01:02-C*07:02:01-DRB1*11:01  Nicaragua Mestizo (G) 0.3226155
 808  A*74:01-B*53:01:01-C*04:01:01-DRB1*11:01:02  Nicaragua Mestizo (G) 0.3226155
 809  A*03:01-B*35:01-DRB1*11:01  Israel Georgia Jews 0.32104,471
 810  A*02:01-B*15:03-C*02:10-DRB1*11:01-DQB1*03:19-DPB1*39:01  Tanzania Maasai 0.3195336
 811  A*36:01-B*58:01-C*16:01-DRB1*11:01-DQB1*03:02-DPB1*01:01  Tanzania Maasai 0.3195336
 812  A*68:02-B*15:10-C*03:04-DRB1*11:01-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.3195336
 813  A*02:07-B*46:01-C*01:02-DRB1*11:01  Germany DKMS - China minority 0.31601,282
 814  A*03:01-B*51:01-DRB1*11:01  Israel Kavkazi Jews 0.31502,840
 815  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
 816  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
 817  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
 818  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
 819  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
 820  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
 821  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
 822  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
 823  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
 824  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
 825  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
 826  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
 827  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
 828  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
 829  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
 830  DRB1*11:01-DQB1*05:03  Italy pop 5 0.3100975
 831  A*02:01-B*46:01-DRB1*11:01  Hong Kong Chinese cord blood registry 0.30833,892
 832  A*68:01-B*44:02-C*07:04-DRB1*11:01  Germany DKMS - Netherlands minority 0.30801,374
 833  A*69:01-B*55:01-C*01:02-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.30761,463
 834  A*68:01-B*44:02-C*07:04-DRB1*11:01  Poland DKMS 0.306420,653
 835  A*02:01-B*35:01-DRB1*11:01-DQB1*03:01  Mexico Mexico City Tlalpan 0.3030330
 836  A*23:01-B*18:01-DRB1*11:01-DQB1*03:01  Mexico Mexico City Tlalpan 0.3030330
 837  A*24:02-B*35:01-DRB1*11:01-DQB1*03:01  Mexico Mexico City Tlalpan 0.3030330
 838  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
 839  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
 840  A*02:01-B*44:02-C*05:01-DRB1*11:01  Italy pop 5 0.3000975
 841  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
 842  A*02:01-B*51:01-C*15:02-DRB1*11:01  Italy pop 5 0.3000975
 843  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
 844  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
 845  A*02-B*40-DRB1*11:01  USA NMDP Asian and Pacific Islander 0.3000359,423
 846  A*02-B*44-DRB1*11:01  USA NMDP Caucasian 0.30002,361,208
 847  A*02-B*51-DRB1*11:01  USA NMDP Caucasian 0.30002,361,208
 848  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
 849  A*03:02-B*51:01-C*15:02-DRB1*11:01  Italy pop 5 0.3000975
 850  A*11-B*40-DRB1*11:01  USA NMDP Asian and Pacific Islander 0.3000359,423
 851  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
 852  A*23-B*15-DRB1*11:01  USA NMDP African American 0.3000412,861
 853  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
 854  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
 855  A*24-B*40-DRB1*11:01  USA NMDP Asian and Pacific Islander 0.3000359,423
 856  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
 857  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
 858  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
 859  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
 860  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
 861  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
 862  A*32:01-B*51:01-C*03:03-DRB1*11:01-DQB1*03:01  England North West 0.3000298
 863  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
 864  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
 865  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
 866  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
 867  A*68:01-B*40:01-C*03:04-DRB1*11:01  Italy pop 5 0.3000975
 868  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
 869  A*74-B*15-DRB1*11:01  USA NMDP African American 0.3000412,861
 870  A*24:02-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.29301,159
 871  A*03:01-B*35:01-C*04:01-DRB1*11:01  Germany DKMS - Bosnia and Herzegovina minority 0.29201,028
 872  A*24:02-B*40:01-DRB1*11:01  Israel Tunisia Jews 0.29209,070
 873  A*24:02-B*40:02-C*02:02-DRB1*11:01  Germany DKMS - Bosnia and Herzegovina minority 0.29101,028
 874  A*32:01-B*40:02-C*02:02-DRB1*11:01  Germany DKMS - Netherlands minority 0.29101,374
 875  DRB1*11:01-DQB1*06:02-DPB1*105:01  Gambia pop 3 0.2903939
 876  A*02:01-B*35:03-C*04:01-DRB1*11:01  Germany DKMS - Bosnia and Herzegovina minority 0.29001,028
 877  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Italy pop 5 0.2900975
 878  A*02:01-B*51:01-C*15:02-DRB1*11:01-DQB1*03:01  Italy pop 5 0.2900975
 879  A*24:02-B*51:01-C*15:02-DRB1*11:01-DQB1*03:01  Italy pop 5 0.2900975
 880  A*25:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01  Italy pop 5 0.2900975
 881  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Italy pop 5 0.2900975
 882  A*02:06-B*48:03-DRB1*11:01  Hong Kong Chinese cord blood registry 0.28993,892
 883  A*01:01-B*07:02-C*07:02-DRB1*11:01  Germany DKMS - United Kingdom minority 0.28801,043
 884  A*02:01-B*40:01-C*03:04-DRB1*11:01  Germany DKMS - United Kingdom minority 0.28801,043
 885  A*02:01-B*44:02-C*05:01-DRB1*11:01  Germany DKMS - United Kingdom minority 0.28801,043
 886  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.28804,856
 887  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
 888  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
 889  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
 890  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
 891  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
 892  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
 893  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
 894  A*02:01-B*15:01-C*03:03-DRB1*11:01  Germany DKMS - France minority 0.28401,406
 895  A*02:01-B*40:01-C*03:04-DRB1*11:01  Germany DKMS - Romania minority 0.28401,234
 896  A*29:01-B*55:01-DRB1*11:01  Israel Kavkazi Jews 0.28402,840
 897  DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:02  China Zhejiang Han pop 2 0.2819833
 898  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
 899  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
 900  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

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 9,386) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 94  


   

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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