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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Displaying 1 to 88 (from 88) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*51-DRB1*16:01-DQB1*05:02  Macedonia pop 3 3.2000172
 2  A*26:01-B*51:01-C*16:02-DRB1*16:01-DQA1*01:02-DQB1*05:02  United Arab Emirates Abu Dhabi 0.960052
 3  A*02:01-B*51:01-C*15:02-DRB1*16:01-DQA1*01:02-DQB1*05:02  Kosovo 0.8060124
 4  A*26:01-B*51:01-C*14:02-DRB1*16:01-DQA1*01:02-DQB1*05:02  Kosovo 0.8060124
 5  A*32:01-B*51:01-C*01:02-DRB1*16:01-DQA1*01:02-DQB1*05:02  Mexico Tixcacaltuyub Maya 0.746367
 6  A*02-B*51-DRB1*16:01-DQB1*05:02  Bolivia Quechua 0.720069
 7  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*02:02:02-DPB1*05:01:01  Brazil Rio de Janeiro Parda 0.5882170
 8  A*29:02-B*51:01-C*14:02-DRB1*16:01-DQB1*05:02  Mexico Mexico City Mestizo population 0.3497143
 9  B*51:01-C*14:02-DRB1*16:01-DQB1*05:02  Mexico Mexico City Mestizo population 0.3497143
 10  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 11  A*02-B*51-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.2528641
 12  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*16:01-DQB1*05:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.243228,927
 13  A*74:03-B*51:01:01-C*15:02:01-DRB1*16:01-DQB1*05:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.231228,927
 14  A*02:01-B*51:01-C*15:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.16704,856
 15  A*02:01-B*51:01-C*03:03-DRB1*16:01-DQB1*05:02  Italy pop 5 0.1400975
 16  A*02:01-B*51:01-C*07:01-DRB1*16:01-DQB1*05:02  Italy pop 5 0.1400975
 17  A*02:01-B*51:01-C*14:02-DRB1*16:01-DQB1*05:02  Italy pop 5 0.1400975
 18  A*02:01-B*51:01-C*07:01-DRB1*16:01-DQB1*05:02  Germany DKMS - Italy minority 0.13601,159
 19  A*02:01-B*51:01-C*14:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.13404,856
 20  A*24:02-B*51:01-C*14:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Italy minority 0.12901,159
 21  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*16:01-DQB1*05:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.114628,927
 22  A*02:01-B*51:01-C*15:02-DRB1*16:01-DQB1*05:02  USA Hispanic pop 2 0.09401,999
 23  A*11:01-B*51:01-C*14:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Italy minority 0.08601,159
 24  A*25:01-B*51:01-C*15:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Italy minority 0.08601,159
 25  A*32:01-B*51:01-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Italy minority 0.08001,159
 26  A*68-B*51-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 27  A*11:01-B*51:01-C*15:02-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 28  A*26:01-B*51:01-C*15:04-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.05104,856
 29  A*32:01-B*51:01-C*15:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Italy minority 0.04301,159
 30  A*33:01-B*51:01-C*15:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Italy minority 0.04301,159
 31  A*32:01-B*51:01-C*15:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.04104,856
 32  A*32:01-B*51:01-C*12:03-DRB1*16:01-DQB1*05:02  Colombia Bogotá Cord Blood 0.03421,463
 33  A*02:01-B*51:01-C*01:02-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 34  A*02:01-B*51:01-C*02:02-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 35  A*02:01-B*51:08-C*16:02-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 36  A*30:01-B*51:01-C*15:02-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 37  A*02:08-B*51:01:01-C*16:02:01-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03311,510
 38  A*24:02:01:01-B*51:01:01-C*15:04-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03311,510
 39  A*02:01:01:01-B*51:01:01-C*15:02:01:01-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03011,510
 40  A*03:01-B*51:01-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.02104,856
 41  A*68:01-B*51:01-C*07:04-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.02104,856
 42  A*01:01-B*51:02-C*07:02-DRB1*16:01-DQB1*05:02  India Tamil Nadu 0.02012,492
 43  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.019823,595
 44  A*02:01:01-B*51:01:01-C*01:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.016523,595
 45  A*11:01:01-B*51:01:01-C*03:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.014823,595
 46  A*02:01-B*51:01-C*16:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01304,856
 47  A*24:02-B*51:01-C*15:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01304,856
 48  A*02:01:01-B*51:01:01-C*04:01:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.012723,595
 49  A*01:01-B*51:01-C*14:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01204,856
 50  A*30:02-B*51:01-C*02:02-DRB1*16:01-DQB1*05:02  USA Hispanic pop 2 0.01201,999
 51  A*30:02-B*51:02-C*08:01-DRB1*16:01-DQB1*05:02  USA Hispanic pop 2 0.01201,999
 52  A*31:01-B*51:01-C*02:02-DRB1*16:01-DQB1*05:02  USA Hispanic pop 2 0.01201,999
 53  A*31:01-B*51:02-C*08:01-DRB1*16:01-DQB1*05:02  USA Hispanic pop 2 0.01201,999
 54  A*33:03-B*51:01-C*04:01-DRB1*16:01-DQB1*05:02  India UCBB_Central Indian HLA 0.01194,204
 55  A*26:01-B*51:01-C*14:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01104,856
 56  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.010923,595
 57  A*01:06-B*51:01-C*14:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 58  A*03:01-B*51:01-C*05:01-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 59  A*66:01-B*51:01-C*15:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 60  A*74:01-B*51:07-C*14:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 61  A*68:01:01-B*51:01:01-C*15:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.008723,595
 62  A*03:01:01-B*51:01:01-C*02:02:02-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.007623,595
 63  A*03:01:01-B*51:01:01-C*15:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.006023,595
 64  A*68:01:01-B*51:01:01-C*07:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.006023,595
 65  A*02:01:01-B*51:01:01-C*02:02:02-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.005323,595
 66  A*30:01:01-B*51:01:01-C*01:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.004223,595
 67  A*32:01:01-B*51:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.004223,595
 68  A*03:01:01-B*51:01:01-C*01:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.004123,595
 69  A*01:01:01-B*51:01:01-C*14:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.004123,595
 70  A*24:02:01-B*51:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.004023,595
 71  A*33:03:01-B*51:01:01-C*15:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.003923,595
 72  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.003323,595
 73  A*32:01:01-B*51:01:01-C*01:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.003323,595
 74  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.003323,595
 75  A*02:01:01-B*51:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002423,595
 76  A*68:01:01-B*51:01:01-C*16:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002423,595
 77  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002323,595
 78  A*32:01:01-B*51:01:01-C*14:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002223,595
 79  A*24:02:01-B*51:01:01-C*02:02:02-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 80  A*02:01:01-B*51:01:01-C*07:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 81  A*26:01:01-B*51:01:01-C*04:01:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 82  A*03:01:01-B*51:01:01-C*16:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 83  A*11:01:01-B*51:01:01-C*14:04-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 84  A*24:02:01-B*51:08:01-C*16:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 85  A*26:01:01-B*51:01:01-C*16:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 86  A*68:01:02-B*51:01:01-C*03:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 87  A*31:01:02-B*51:01:01-C*04:01:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 88  A*68:01:02-B*51:01:01-C*14:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595

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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