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 93 (from 93) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*35:01-DRB1*03:01-DQB1*02:01  Iran Saqqez-Baneh Kurds 2.500060
 2  A*11:01-B*35:01-DRB1*03:01-DQB1*02:01  Iran Yazd 1.785756
 3  A*01:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Iran Gorgan 1.560064
 4  A*03:01-B*35:01-DRB1*03:01-DQB1*02:01  Iran Yazd 0.892956
 5  A*01:01-B*35:01-DRB1*03:01-DQB1*02:01  Iran Saqqez-Baneh Kurds 0.833360
 6  A*02:52-B*35:01-DRB1*03:01-DQB1*02:01  Iran Saqqez-Baneh Kurds 0.833360
 7  A*02:50-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Iran Gorgan 0.780064
 8  A*30:02-B*35:01-DRB1*03:01-DQB1*02:01  Chile Mapuche 0.770066
 9  A*02:01-B*35:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.6061330
 10  A*02:01-B*35:01-DRB1*03:01-DQB1*02:01  Mexico Veracruz Xalapa 0.595284
 11  A*02:01-B*35:01-C*04:01-E*01:03:02-F*01:01:01-G*01:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Portugal Azores Terceira Island 0.4386130
 12  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Bashkirs 0.4167120
 13  A*01:01-B*35:01-C*06:02-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.3497143
 14  B*35:01-C*06:02-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.3497143
 15  A*25:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 16  A*36:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Panama 0.1900462
 17  A*02:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.18001,999
 18  A*32:01-B*35:01-C*15:02-DRB1*03:01-DQB1*02:01  India Northeast UCBB 0.1689296
 19  A*66:01-B*35:01-C*06:66-DRB1*03:01-DQB1*02:01-DPB1*463:01  Tanzania Maasai 0.1597336
 20  A*11:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.14301,999
 21  A*02:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.12901,159
 22  A*11:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.08804,856
 23  A*74:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.08702,411
 24  A*11:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.08601,159
 25  A*24:02-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.08504,856
 26  A*11:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India North UCBB 0.07415,849
 27  A*32:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.07204,856
 28  A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.07091,510
 29  A*32:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 30  A*01:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India West UCBB 0.06155,829
 31  A*03:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Russia Karelia 0.05651,075
 32  A*29:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Russia Karelia 0.05611,075
 33  A*01:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.05572,492
 34  A*68:02-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 35  A*03:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India North UCBB 0.04055,849
 36  A*24:02-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.04012,492
 37  A*03:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.03703,456,066
 38  A*02:04-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 39  A*11:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 40  A*02:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 41  A*03:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 42  A*11:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 43  A*30:02-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 44  A*33:03-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 45  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.033323,595
 46  A*31:01:02:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 47  A*01:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.03004,856
 48  A*11:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India West UCBB 0.02925,829
 49  A*03:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India West UCBB 0.02535,829
 50  A*03:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.02373,456,066
 51  A*03:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India East UCBB 0.02272,403
 52  A*33:03-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India South UCBB 0.022111,446
 53  A*03:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02204,856
 54  A*24:02-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India Central UCBB 0.02204,204
 55  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.021123,595
 56  A*03:02-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India East UCBB 0.02082,403
 57  A*31:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India East UCBB 0.02082,403
 58  A*01:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India South UCBB 0.020411,446
 59  A*24:02-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India North UCBB 0.02015,849
 60  A*31:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.02012,492
 61  A*26:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India West UCBB 0.01735,829
 62  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.016623,595
 63  A*24:02-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India West UCBB 0.01405,829
 64  A*32:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India South UCBB 0.013211,446
 65  A*03:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India Central UCBB 0.01194,204
 66  A*02:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India North UCBB 0.01165,849
 67  A*02:02-B*35:01-C*03:04-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.01102,411
 68  A*31:01-B*35:01-C*03:04-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.01102,411
 69  A*33:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.01102,411
 70  A*80:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.01102,411
 71  A*24:02-B*35:01-C*03:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.01002,492
 72  A*02:05-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 73  A*02:07-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 74  A*68:01-B*35:01-C*07:04-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 75  A*33:03-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India North UCBB 0.00935,849
 76  A*33:03-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India West UCBB 0.00885,829
 77  A*24:03-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India West UCBB 0.00865,829
 78  A*31:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India West UCBB 0.00865,829
 79  A*11:01-B*35:01-C*03:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.00855,849
 80  A*31:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India South UCBB 0.007811,446
 81  A*68:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India South UCBB 0.007611,446
 82  A*24:02-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India South UCBB 0.007311,446
 83  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.006223,595
 84  A*68:02:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.005223,595
 85  A*02:11-B*35:01-C*12:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.004411,446
 86  A*26:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India South UCBB 0.004411,446
 87  A*26:01-B*35:01-C*12:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.004411,446
 88  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002823,595
 89  A*03:02:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002223,595
 90  A*66:01:01-B*35:01:01-C*02:02:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 91  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.001823,595
 92  A*02:17:02-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.001223,595
 93  A*68:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.00074002,492

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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