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 107) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*50-C*06-DRB1*13  Iran pop 4 1.3000855
 2  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Parda 0.5882170
 3  A*02:05-B*50:01-C*06:02-DRB1*13:02-DQB1*06:04  USA NMDP Caribean Indian 0.560514,339
 4  A*03:01-B*50:01-C*06:02-E*01:01:01-F*01:03:01-G*01:04-DRB1*13:02-DQA1*04:01-DQB1*06:04:01  Portugal Azores Terceira Island 0.4386130
 5  A*29-B*50-C*06-DRB1*13  Iran pop 4 0.4000855
 6  A*02:05-B*50:01-C*06:02-DRB1*13:02-DQB1*06:04  Malaysia Peninsular Indian 0.3690271
 7  A*02-B*50-C*06:02-DRB1*13:02-DQB1*06  Russia Transbaikal Territory Buryats 0.3340150
 8  A*29:02:01-B*50:01:01-C*06:02:01-DRB1*13:01:01-DQA1*02:01:01-DQB1*06:03-DPA1*01:03:01-DPB1*05:01:01  Russia Belgorod region 0.3268153
 9  A*01:01:01-B*50:01:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 10  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 11  A*02:05-B*50:01-C*06:02-DRB1*13:05:01-DQB1*03:01  England North West 0.3000298
 12  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*13:02:01-DQB1*05:04  India Karnataka Kannada Speaking 0.2870174
 13  A*23:01-B*50:01-C*06:02-DRB1*13:01-DQA1*03:01-DQB1*03:03-DPB1*04:01  USA San Diego 0.2600496
 14  A*02:01:01-B*50:02-C*06:02:01-DRB1*13:05:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 15  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*13:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 16  A*02:01-B*50:01-C*06:02-DRB1*13:01  Germany DKMS - Spain minority 0.15001,107
 17  A*02:05-B*50:01-C*06:02-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.14001,999
 18  A*02:01-B*50:01-C*06:02-DRB1*13:01  Germany DKMS - Portugal minority 0.12801,176
 19  A*02:01-B*50:01-C*06:02-DRB1*13:02  Germany DKMS - United Kingdom minority 0.09601,043
 20  A*02:05-B*50:01-C*06:02-DRB1*13:02  Germany DKMS - Greece minority 0.07901,894
 21  A*11:01-B*50:01-C*06:02-DRB1*13:01  Germany DKMS - France minority 0.07101,406
 22  A*02:05-B*50:01-C*06:02-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  Sri Lanka Colombo 0.0700714
 23  A*02:05-B*50:02-C*06:02-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 24  A*33:03-B*50:01-C*06:02-DRB1*13:05-DQB1*03:01-DPB1*13:01  Russia Karelia 0.05651,075
 25  A*02:05-B*50:01-C*06:02-DRB1*13:05  Germany DKMS - Greece minority 0.05301,894
 26  A*02:17-B*50:01-C*06:02-DRB1*13:01  Germany DKMS - Greece minority 0.05301,894
 27  A*11:01-B*50:01-C*06:02-DRB1*13:03  Germany DKMS - Greece minority 0.05301,894
 28  A*01:01-B*50:01-C*06:02-DRB1*13:01  Germany DKMS - Spain minority 0.04501,107
 29  A*29:02-B*50:01-C*06:02-DRB1*13:02  Germany DKMS - Spain minority 0.04501,107
 30  A*03:01-B*50:01-C*06:02-DRB1*13:03-DQB1*03:01  USA African American pop 4 0.04402,411
 31  A*02:05-B*50:01-C*06:02-DRB1*13:02-DQB1*06:04  India South UCBB 0.043711,446
 32  A*23:01-B*50:01-C*06:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.04301,159
 33  A*24:02-B*50:01-C*06:02-DRB1*13:01  Germany DKMS - Portugal minority 0.04301,176
 34  A*23:01-B*50:01-C*06:02-DRB1*13:01  Germany DKMS - Romania minority 0.04101,234
 35  A*02:05-B*50:01-C*06:02-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.04012,492
 36  A*23-B*50-C*06-DRB1*13  Macedonia MBMDR - Macedonian 0.03901,283
 37  A*68:01-B*50:01-C*06:02-DRB1*13:02-DQB1*05:01  USA African American pop 4 0.03502,411
 38  A*02:45-B*50:01-C*06:02-DRB1*13:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 39  A*66:01-B*50:02-C*06:02-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.03421,463
 40  A*02:05-B*50:01-C*06:02-DRB1*13:02  Germany DKMS - Austria minority 0.03401,698
 41  A*23:01-B*50:01-C*06:02-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 42  A*33:01-B*50:02-C*06:02-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 43  A*34:02-B*50:01-C*06:02-DRB1*13:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 44  A*24:02:01:01-B*50:02-C*06:02:01:02-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 45  A*66:01:01-B*50:01:01-C*06:02:01:02-DRB1*13:03-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 46  A*01-B*50-C*06-DRB1*13-DQA1*05-DQB1*03  Spain, Castilla y Leon, Northwest, 0.03281,743
 47  A*02-B*50-C*06-DRB1*13-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 48  A*02-B*50-C*06-DRB1*13-DQA1*03-DQB1*03  Spain, Castilla y Leon, Northwest, 0.03281,743
 49  A*02-B*50-C*06-DRB1*13-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.03004,510
 50  A*24:02-B*50:01-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*03:01  Japan pop 17 0.03003,078
 51  A*02-B*50-C*06-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.02951,743
 52  A*01:03-B*50:01-C*06:02-DRB1*13:01  Germany DKMS - Austria minority 0.02901,698
 53  A*03:01-B*50:01-C*06:02-DRB1*13:02  Germany DKMS - Austria minority 0.02901,698
 54  A*30:01-B*50:01-C*06:02-DRB1*13:02  Germany DKMS - Greece minority 0.02601,894
 55  A*23:01-B*50:01-C*06:02-DRB1*13:03  Germany DKMS - Croatia minority 0.02402,057
 56  A*02:01-B*50:01-C*06:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.02384,204
 57  A*03:02-B*50:01-C*06:02-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.02104,856
 58  A*23:01-B*50:01-C*06:02-DRB1*13:02-DQB1*06:04  India East UCBB 0.02082,403
 59  A*68:01-B*50:01-C*06:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.01975,849
 60  A*02:05-B*50:01-C*06:02-DRB1*13:02-DQB1*06:04  India West UCBB 0.01725,829
 61  A*02:01-B*50:01-C*06:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.01715,849
 62  A*01:01-B*50:01-C*06:02-DRB1*13:02-DQB1*06:04  India Central UCBB 0.01194,204
 63  A*23:01-B*50:01-C*06:02-DRB1*13:03-DQB1*02:01  USA African American pop 4 0.01102,411
 64  A*29:02-B*50:01-C*06:02-DRB1*13:03-DQB1*02:01  USA African American pop 4 0.01102,411
 65  A*03:01-B*50:01-C*06:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.010611,446
 66  A*02:01-B*50:01-C*06:02-DRB1*13:02-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 67  A*32-B*50-C*06-DRB1*13-DQB1*06-DPB1*02  Norway ethnic Norwegians 0.01004,510
 68  A*02:05-B*50:01-C*06:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.00975,849
 69  A*24:02-B*50:01-C*06:02-DRB1*13:02-DQB1*06:04  India North UCBB 0.00885,849
 70  A*02:05-B*50:01-C*06:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.00875,829
 71  A*11:01-B*50:01-C*06:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 72  A*02:06-B*50:01-C*06:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.00855,849
 73  A*11:01-B*50:01-C*06:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.00765,849
 74  A*23:01-B*50:01-C*06:02-DRB1*13:02  Poland DKMS 0.007220,653
 75  A*02:05-B*50:01-C*06:02-DRB1*13:01  Poland DKMS 0.006920,653
 76  A*02:01-B*50:01-C*06:02-DRB1*13:01  Hong Kong Chinese BMDR 0.00667,595
 77  A*23:01-B*50:01-C*06:02-DRB1*13:01  Poland DKMS 0.005820,653
 78  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.005223,595
 79  A*02:05-B*50:01-C*06:02-DRB1*13:01  Japan pop 16 0.005018,604
 80  A*02:05-B*50:01-C*06:02-DRB1*13:02  Poland DKMS 0.005020,653
 81  A*24:02-B*50:01-C*06:02-DRB1*13:01  Japan pop 16 0.005018,604
 82  A*01:01-B*50:01-C*06:02-DRB1*13:02  Poland DKMS 0.004920,653
 83  A*02:05-B*50:01-C*06:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.004711,446
 84  A*02:01-B*50:01-C*06:02-DRB1*13:02-DQB1*06:04  India South UCBB 0.004411,446
 85  A*02:09-B*50:01-C*06:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 86  A*02:11-B*50:01-C*06:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.004411,446
 87  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.004223,595
 88  A*33:03:01-B*50:01:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.004223,595
 89  A*33:03-B*50:01-C*06:02-DRB1*13:01  Poland DKMS 0.002620,653
 90  A*02:01-B*50:01-C*06:02-DRB1*13:01  Poland DKMS 0.002520,653
 91  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*13:19-DQB1*03:01:01  Poland BMR 0.002523,595
 92  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002523,595
 93  A*02:01-B*50:01-C*06:02-DRB1*13:03  Poland DKMS 0.002420,653
 94  A*02:01-B*50:01-C*06:02-DRB1*13:05  Poland DKMS 0.002420,653
 95  A*02:08-B*50:01-C*06:02-DRB1*13:02  Poland DKMS 0.002420,653
 96  A*03:01-B*50:01-C*06:02-DRB1*13:03  Poland DKMS 0.002420,653
 97  A*11:01-B*50:01-C*06:02-DRB1*13:03  Poland DKMS 0.002420,653
 98  A*31:01-B*50:01-C*06:02-DRB1*13:03  Poland DKMS 0.002420,653
 99  A*01:01-B*50:01-C*06:02-DRB1*13:03  Poland DKMS 0.002320,653
 100  A*68:02-B*50:01-C*06:02-DRB1*13:05  Poland DKMS 0.002220,653

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 107) records   Pages: 1 2 of 2  


   

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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