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 : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 468) records   Pages: 1 2 3 4 5 of 5  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*41:01-C*17:01  Kenya Nandi 2.7000240
 2  A*66:01-B*41:01-C*17:01-DRB1*07:01  Brazil Vale do Ribeira Quilombos 1.3889144
 3  A*02:01:01-B*41:01:01-C*17:01:01  South African Mixed ancestry 1.000050
 4  A*02:01-B*41:01-C*17:01  Kenya Nandi 1.0000240
 5  A*26:01:01-B*41:01:01-C*17:01:01  South African Mixed ancestry 1.000050
 6  A*02:01-B*41:01-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*03:01  Tanzania Maasai 0.9585336
 7  B*41:01-C*17:01  USA Hispanic pop 2 0.80301,999
 8  A*32:01-B*41:01-C*17:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Mexico Tixcacaltuyub Maya 0.746367
 9  A*23:17-B*41:01:01-C*17:01:01-DRB1*04:01:01-DQB1*03:02:01-DPB1*01:01:01  South African Black 0.7040142
 10  A*30:04:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01-DPB1*665:01  South African Black 0.7040142
 11  A*01:01:01-B*41:01-C*17:01:01-DRB1*07:01:01-DQB1*03:03:02-DPB1*04:02:01  Saudi Arabia pop 6 (G) 0.643328,927
 12  B*41:01-C*17:01  Italy pop 5 0.6300975
 13  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:19  Brazil Barra Mansa Rio State Caucasian 0.6250405
 14  A*01:01-B*41:01-C*17:01-DRB1*10:01-DQB1*05:01  USA NMDP Hawaiian or other Pacific Islander 0.594611,499
 15  A*01:01-B*41:01-C*17:01  Italy pop 5 0.5900975
 16  A*01:01-B*41:01-C*17:01-DRB1*03:01  Italy pop 5 0.5700975
 17  A*74:01-B*41:01-C*17:01-DRB1*14:01-DQA1*01:01-DQB1*05:03-DPB1*19:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 18  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.43545,849
 19  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 20  A*23:01:01-B*41:01:01-C*17:01:01-DRB1*11:01:02-DQB1*03:01:01-DPA1*02:01:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 21  A*03:01:01-B*41:01:01-C*17:01:01-DRB1*08:04:01-DQB1*03:19:01-DPB1*106:01  South African Black 0.3520142
 22  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 23  B*41:01-C*17:01  Mexico Mexico City Mestizo population 0.3497143
 24  B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 25  A*24:02-B*41:01-C*17:01-DRB1*13:02  Brazil Vale do Ribeira Quilombos 0.3472144
 26  A*30:02:01-B*41:01-C*17:01:01-DRB1*13:04  Nicaragua Mestizo (G) 0.3226155
 27  A*01:01-B*41:01-C*17:01-DRB1*13:02-DQB1*06:04-DPB1*04:01  Tanzania Maasai 0.3195336
 28  A*24:02-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01-DPB1*03:01  Tanzania Maasai 0.3195336
 29  A*68:02-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01-DPB1*15:01  Tanzania Maasai 0.3195336
 30  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*04:03:01-DQB1*03:01:04-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 31  A*68:01:01-B*41:01:01-C*17:01:01-DRB1*04:05:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*14:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 32  A*02:05-B*41:01-C*17:01-DRB1*04:01-DQA1*03:03-DQB1*03:02-DPB1*04:01  South Africa Worcester 0.3000159
 33  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
 34  A*26:01-B*41:01-C*17:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*01:01  South Africa Worcester 0.3000159
 35  A*68:02-B*41:01-C*17:01-DRB1*07:01-DQA1*03:01-DQB1*02:02-DPB1*03:01  South Africa Worcester 0.3000159
 36  A*68:27-B*41:01-C*17:01-DRB1*07:01-DQA1*04:01-DQB1*02:02-DPB1*04:01  South Africa Worcester 0.3000159
 37  A*32:01:01-B*41:01:01-C*17:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 38  A*02:02-B*41:01-C*17:01-DRB1*04:05-DQB1*02:01  Germany DKMS - Italy minority 0.25901,159
 39  A*01:01-B*41:01-C*17:01-DRB1*10:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.23921,463
 40  B*41:01-C*17:01  Mexico Mexico City Mestizo pop 2 0.2100234
 41  A*01:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 42  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*08:04:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 43  A*24:02:01-B*41:01:01-C*17:01:01-DRB1*04:05:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 44  A*02:02-B*41:01-C*17:01-DRB1*04:05-DQB1*02:01-DPB1*02:01  Panama 0.1900462
 45  A*31:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02-DPB1*02:01  Panama 0.1900462
 46  A*02:02-B*41:01-C*17:01  Italy pop 5 0.1800975
 47  A*32:01-B*41:01-C*17:01  Italy pop 5 0.1800975
 48  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.17844,204
 49  A*24:02-B*41:01-C*17:01-DRB1*15:01-DQB1*06:01  India Northeast UCBB 0.1689296
 50  A*01:02-B*41:01-C*17:01-DRB1*13:02-DQB1*06:85-DPB1*15:01  Tanzania Maasai 0.1597336
 51  A*23:01-B*41:01-C*17:01-DRB1*11:04-DQB1*03:01-DPB1*04:01  Tanzania Maasai 0.1597336
 52  A*33:03-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Tanzania Maasai 0.1597336
 53  A*36:01-B*41:01-C*17:01-DRB1*11:01-DQB1*06:02-DPB1*18:01  Tanzania Maasai 0.1597336
 54  A*01:01-B*41:01-C*17:01-DRB1*07:01-DQB1*03:03  Germany DKMS - Turkey minority 0.15404,856
 55  B*41:01-C*17:01  USA Asian pop 2 0.14201,772
 56  A*01:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 57  A*01:01-B*41:01-C*17:01-DRB1*16:01-DQB1*05:02  Italy pop 5 0.1400975
 58  A*02:02-B*41:01-C*17:01-DRB1*11:01-DQB1*03:01  Italy pop 5 0.1400975
 59  A*02:05-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 60  A*23:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 61  A*24:02:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 62  A*24:02-B*41:01-C*17:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.14001,999
 63  A*30:04-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 64  A*32:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 65  A*32:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  Italy pop 5 0.1400975
 66  A*32:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.13104,856
 67  A*32:01-B*41:01-C*17:01-DRB1*03:01  Italy pop 5 0.1300975
 68  A*02:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.12901,159
 69  A*03:01-B*41:01-C*17:01-DRB1*13:02  Germany DKMS - Portugal minority 0.12801,176
 70  B*41:01-C*17:01  USA African American pop 4 0.11802,411
 71  A*02:01-B*41:01-C*17:01-DRB1*07:01  Germany DKMS - Greece minority 0.11601,894
 72  A*30:04-B*41:01-C*17:01  Italy pop 5 0.1100975
 73  A*01:01-B*41:01-C*17:01-DRB1*07:01  Germany DKMS - Netherlands minority 0.10901,374
 74  A*01:01:01-B*41:01-C*17:01:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.1009221
 75  A*02:01-B*41:01-C*17:01-DRB1*14:01  Italy pop 5 0.1000975
 76  A*02:02-B*41:01-C*17:01-DRB1*03:01  Italy pop 5 0.1000975
 77  A*02:02-B*41:01-C*17:01-DRB1*11:01  Italy pop 5 0.1000975
 78  A*02:05-B*41:01-C*17:01-DRB1*03:01  Italy pop 5 0.1000975
 79  A*30:02-B*41:01-C*17:01-DRB1*04:05  Italy pop 5 0.1000975
 80  A*30:04-B*41:01-C*17:01-DRB1*03:01  Italy pop 5 0.1000975
 81  A*01:01:01-B*41:01:01-C*17:01:01  England Blood Donors of Mixed Ethnicity 0.0970519
 82  A*24:02:01-B*41:01:01-C*17:01:01  England Blood Donors of Mixed Ethnicity 0.0957519
 83  A*02:01-B*41:01-C*17:01-DRB1*04:04-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 84  A*02:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.09401,999
 85  A*30:02-B*41:01-C*17:01-DRB1*08:04-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 86  A*32:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.09401,999
 87  A*69:01-B*41:01-C*17:01-DRB1*07:01-DQB1*03:03  USA Hispanic pop 2 0.09401,999
 88  A*02:01-B*41:01-C*17:01-DRB1*03:01  Poland DKMS 0.093120,653
 89  A*02:01-B*41:01-C*17:01  Italy pop 5 0.0900975
 90  A*02:01-B*41:01-C*17:01-DRB1*07:01  Germany DKMS - Spain minority 0.09001,107
 91  A*24:02-B*41:01-C*17:01  Italy pop 5 0.0900975
 92  A*23:01-B*41:01-C*17:01-DRB1*07:01  Germany DKMS - Austria minority 0.08801,698
 93  A*02:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.08601,159
 94  A*02:01-B*41:01-C*17:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.08601,159
 95  A*32:01-B*41:01-C*17:01-DRB1*03:01  Germany DKMS - Austria minority 0.08601,698
 96  A*32:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.08601,159
 97  A*32:01-B*41:01-C*17:01-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.08601,159
 98  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.08585,829
 99  A*02:01-B*41:01-C*17:01-DRB1*03:01  Germany DKMS - Portugal minority 0.08501,176
 100  A*02:01-B*41:01-C*17:01-DRB1*07:01  Germany DKMS - Portugal minority 0.08501,176

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 1 to 100 (from 468) records   Pages: 1 2 3 4 5 of 5  


   

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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