Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 87 (from 87) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*03:02:01-B*51:01:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 2  B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Ireland South 1.2000250
 3  A*11:01:01-B*44:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.4700215
 4  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  USA NMDP American Indian South or Central America 0.46575,926
 5  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 6  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  USA NMDP Alaska Native or Aleut 0.31201,376
 7  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.27404,335
 8  A*02:01:01-B*18:01:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 9  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 10  A*26:01:01-B*18:01:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 11  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.21951,075
 12  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  USA African American pop 4 0.21802,411
 13  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.21601,159
 14  A*02:11-B*15:05-C*05:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  Sri Lanka Colombo 0.2101714
 15  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.20871,463
 16  A*01:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 17  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 18  A*02:20:01-B*07:02-C*05:01-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 19  A*32:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 20  A*23:01:01-B*44:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 21  A*31:01-B*39:02-C*05:01-DRB1*15:01-DQB1*06:02-DPB1*04:01  Panama 0.1900462
 22  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.18413,456,066
 23  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.159923,595
 24  A*32:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.13201,159
 25  A*02:01-B*07:02-C*05:01-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.11291,075
 26  A*03:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.08601,999
 27  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.08304,856
 28  A*32:01-B*52:01-C*05:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 29  A*11:01-B*35:08-C*05:01-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.06841,463
 30  A*01:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 31  A*03:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02-DPB1*03:01  Russia Karelia 0.05601,075
 32  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02-DPB1*04:02  Russia Karelia 0.05561,075
 33  A*11:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 34  A*26:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 35  A*26:01-B*51:08-C*05:01-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.04401,772
 36  A*11:01-B*18:01-C*05:01-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.04301,159
 37  A*24:02-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.04304,856
 38  A*29:01-B*07:02-C*05:01-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.04301,159
 39  A*02:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.04001,510
 40  A*25:01:01-B*18:01:01-C*05:01:01-DRB1*15:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 0.0377221
 41  A*02:01:01:01-B*44:02:01:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03761,510
 42  A*02:13-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.03421,463
 43  A*02:01-B*18:01-C*05:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 44  A*03:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 45  A*24:02-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 46  A*24:02-B*49:01-C*05:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 47  A*26:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 48  A*02:01:01:01-B*07:02:01-C*05:01:01:02-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 49  A*02:01:01:01-B*18:01:01:01-C*05:01:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 50  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02-DPB1*05:01  Germany DKMS - German donors 0.02553,456,066
 51  A*32:01:01-B*44:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.025523,595
 52  A*03:02-B*51:01-C*05:01-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.02104,856
 53  A*01:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.02043,456,066
 54  A*32:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.02012,492
 55  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02-DPB1*02:01  Germany DKMS - German donors 0.01953,456,066
 56  A*24:02:01-B*44:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.019123,595
 57  A*03:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.01713,456,066
 58  A*24:02-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.01523,456,066
 59  A*03:01:01-B*44:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.015023,595
 60  A*32:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.01393,456,066
 61  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02-DPB1*03:01  Germany DKMS - German donors 0.01373,456,066
 62  A*25:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.01323,456,066
 63  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02-DPB1*02:02  Germany DKMS - German donors 0.01203,456,066
 64  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  India Central UCBB 0.01194,204
 65  A*24:02-B*44:06-C*05:01-DRB1*15:01-DQB1*06:02  India Central UCBB 0.01194,204
 66  A*33:03-B*44:06-C*05:01-DRB1*15:01-DQB1*06:02  India Central UCBB 0.01194,204
 67  A*02:01-B*07:02-C*05:01-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01004,856
 68  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.009923,595
 69  A*24:02-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  India South UCBB 0.008711,446
 70  A*01:01-B*44:06-C*05:01-DRB1*15:01-DQB1*06:02  India West UCBB 0.00865,829
 71  A*33:03-B*44:06-C*05:01-DRB1*15:01-DQB1*06:02  India North UCBB 0.00855,849
 72  A*68:01-B*44:06-C*05:01-DRB1*15:01-DQB1*06:02  India North UCBB 0.00855,849
 73  A*24:02:01-B*51:01:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.008023,595
 74  A*30:01:01-B*44:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.006023,595
 75  A*32:01:01-B*27:05:02-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.005123,595
 76  A*01:01:01-B*44:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004823,595
 77  A*24:02:01-B*27:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004523,595
 78  A*01:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  India South UCBB 0.004411,446
 79  A*02:11-B*40:06-C*05:01-DRB1*15:01-DQB1*06:02  India South UCBB 0.004411,446
 80  A*03:01-B*52:01-C*05:01-DRB1*15:01-DQB1*06:02  India South UCBB 0.004411,446
 81  A*03:01:01-B*51:01:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004323,595
 82  A*02:01:01-B*07:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004223,595
 83  A*02:01:01-B*18:01:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002423,595
 84  A*02:01:01-B*35:01:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 85  A*02:01:01-B*39:24:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 86  A*32:01:01-B*35:03:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 87  A*33:01:01-B*51:01:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.001323,595

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).




   

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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