Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 1 to 91 (from 91) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*41-DRB1*07:01-DQB1*02  Gaza Palestinians 1.5000165
 2  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
 3  A*02:01-B*41:01-DRB1*07:01-DQB1*02:01  Iran Tabriz Azeris 0.515597
 4  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.43545,849
 5  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
 6  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 7  B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 8  A*30-B*41-C*16:02-DRB1*07:01-DQB1*02  Russia Transbaikal Territory Buryats 0.3340150
 9  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
 10  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
 11  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
 12  A*29:02-B*41:02-C*17:01-DRB1*07:01-DQB1*02:01-DPB1*11:01  Panama 0.1900462
 13  A*31:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02-DPB1*02:01  Panama 0.1900462
 14  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.17844,204
 15  A*02:01-B*41:01-C*04:143-DRB1*07:01-DQB1*02:01-DPB1*01:01  Tanzania Maasai 0.1597336
 16  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
 17  A*32:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  Italy pop 5 0.1400975
 18  A*02:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.12901,159
 19  A*02:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.09401,999
 20  A*66:01:01-B*41:02:01-C*17:01:01-DRB1*07:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.0936221
 21  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.08585,829
 22  A*23-B*41-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 0.0780641
 23  A*01:01-B*41:01-C*17:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 24  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.06841,463
 25  A*23:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.06621,510
 26  A*24:02-B*41:01-C*16:04-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.05651,075
 27  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.053323,595
 28  A*24:07-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.0526951
 29  A*66:01-B*41:02-C*17:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.05104,856
 30  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 31  A*01:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.04405,829
 32  A*26:12-B*41:01-C*07:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.04402,411
 33  A*74:01-B*41:01-C*07:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.04402,411
 34  A*01:01-B*41:01-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 35  A*30:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 36  A*30:04-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 37  A*31:06-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.04295,829
 38  A*01:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.04104,856
 39  A*32:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.03435,849
 40  A*24:02-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.03425,849
 41  A*02:22-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 42  A*23:01-B*41:02-C*17:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 43  A*69:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 44  A*02:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 45  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 46  A*03:01:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 47  A*24:02:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 48  A*24:02:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 49  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.021811,446
 50  A*02:05-B*41:01-C*07:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02104,856
 51  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02104,856
 52  A*01:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India East UCBB 0.02082,403
 53  A*02:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.02012,492
 54  A*29:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.02012,492
 55  A*31:06-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.01715,849
 56  A*66:01-B*41:02-C*17:03-DRB1*07:01-DQB1*02:02  India North UCBB 0.01715,849
 57  A*23:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.014723,595
 58  A*30:02-B*41:02-C*17:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.01201,999
 59  A*66:01-B*41:02-C*17:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.01201,999
 60  A*02:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 61  A*11:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 62  A*32:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 63  A*33:03-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 64  A*68:01-B*41:01-C*12:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 65  A*01:01-B*41:01-C*07:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.01102,411
 66  A*02:01-B*41:02-C*17:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01104,856
 67  A*33:03-B*41:01-C*07:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.01102,411
 68  A*02:11-B*41:02-C*17:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 69  A*33:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 70  A*66:01:01-B*41:02:01-C*17:03-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.009723,595
 71  A*24:02-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.008711,446
 72  A*02:02-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 73  A*01:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 74  A*02:06-B*41:01-C*12:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 75  A*02:06-B*41:02-C*17:03-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 76  A*03:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 77  A*26:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 78  A*30:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 79  A*24:02-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00572,492
 80  A*24:03-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00572,492
 81  A*24:07-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00572,492
 82  A*24:10-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00572,492
 83  A*24:17-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00572,492
 84  A*24:32-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00572,492
 85  A*24:55-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00572,492
 86  A*01:01:01-B*41:02:01-C*17:03-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.005323,595
 87  A*31:06-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 88  A*01:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 89  A*01:01:01-B*41:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 90  A*02:05:01-B*41:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 91  A*68:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.001823,595

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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