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 84 (from 84) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01-B*18:01-DRB1*07:01-DQB1*02:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 2  A*02:01-B*18:01-C*16:01-E*01:03:02-F*01:01:01-G*01:01-DRB1*07:01-DQA1*01:01-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 3  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQA1*03:03:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*03:01:01  Russian Federation Vologda Region 0.4202119
 4  A*80:01:01-B*18:01:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01-DPB1*01:01:01  South African Black 0.3520142
 5  A*02:01:01-B*18:01:01-C*07:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 6  A*24:02:01-B*18:01:01-C*05:01:01-DRB1*07:01:01-DQA1*05:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 7  A*01:01:01-B*18:01:01-C*05:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 8  A*30:02:01-B*18:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 9  A*02:01-B*18:01-C*06:02-DRB1*07:01-DQB1*02:02  Italy pop 5 0.2900975
 10  A*02:05-B*18:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*03:01  USA San Diego 0.2600496
 11  A*24:02-B*18:01-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*03:01  USA San Diego 0.2600496
 12  A*11:01-B*18:01-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*01:01  Nicaragua Managua 0.2165339
 13  A*03:01-B*18:01-C*07:01-DRB1*07:01-DQB1*02:02-DPB1*04:01  Panama 0.1900462
 14  A*29:32-B*18:01-C*12:02-DRB1*07:01-DQB1*02:02-DPB1*02:02  Panama 0.1900462
 15  A*25:01:01-B*18:01:01-C*12:03:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.16661,510
 16  A*02:02-B*18:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Tlalpan 0.1515330
 17  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.129823,595
 18  A*03:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India Central UCBB 0.08614,204
 19  A*11:01-B*18:01-C*07:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.05365,849
 20  A*33:01-B*18:01-C*07:04-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.0526951
 21  A*03:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India North UCBB 0.04925,849
 22  A*24:02-B*18:01-C*07:01-DRB1*07:01-DQB1*02:02  India East UCBB 0.04272,403
 23  A*11:01-B*18:01-C*07:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.04162,403
 24  A*24:02:01-B*18:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.036223,595
 25  A*02:01-B*18:01-C*05:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 26  A*24:02-B*18:01-C*07:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 27  A*29:02-B*18:01-C*05:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 28  A*29:02-B*18:01-C*07:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 29  A*31:01-B*18:01-C*07:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 30  A*03:01:01:01-B*18:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 31  A*24:02:01:01-B*18:01:01-C*12:03:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 32  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 33  A*02:01:01-B*18:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.032023,595
 34  A*11:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India Central UCBB 0.02494,204
 35  A*11:01-B*18:01-C*07:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.02434,204
 36  A*11:01-B*18:01-C*07:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.02334,204
 37  A*68:01-B*18:01-C*07:01-DRB1*07:01-DQB1*02:02  India East UCBB 0.02082,403
 38  A*24:02-B*18:01-C*07:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.020011,446
 39  A*32:01-B*18:01-C*07:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.01715,849
 40  A*02:11-B*18:01-C*07:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.01585,829
 41  A*03:01:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.013323,595
 42  A*68:01-B*18:01-C*07:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01244,204
 43  A*02:06-B*18:01-C*07:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 44  A*68:01-B*18:01-C*02:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 45  A*74:02-B*18:01-C*12:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 46  A*23:01:01-B*18:01:01-C*07:01:09-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.011523,595
 47  A*01:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India West UCBB 0.01005,829
 48  A*03:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India West UCBB 0.00875,829
 49  A*03:02-B*18:01-C*07:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.00875,829
 50  A*32:01-B*18:01-C*07:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.00875,829
 51  A*03:01-B*18:01-C*07:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 52  A*32:01-B*18:01-C*12:05-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 53  A*03:02-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 54  A*26:01-B*18:01-C*07:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 55  A*31:12-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 56  A*32:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 57  A*33:03-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 58  A*69:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 59  A*68:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India North UCBB 0.00725,849
 60  A*68:01-B*18:01-C*07:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.00615,849
 61  A*11:01:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.005923,595
 62  A*26:01:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.005423,595
 63  A*01:01-B*18:01-C*07:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 64  A*02:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 65  A*31:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 66  A*68:01:02-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.003723,595
 67  A*29:02:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.003023,595
 68  A*11:01:01-B*18:01:01-C*05:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002323,595
 69  A*02:01-B*18:01-C*07:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.002211,446
 70  A*32:01:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002223,595
 71  A*03:01:01-B*18:01:01-C*05:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 72  A*03:01:01-B*18:01:01-C*01:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 73  A*03:01:01-B*18:01:01-C*12:05-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 74  A*11:01:01-B*18:01:01-C*07:01:09-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 75  A*24:02:01-B*18:01:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 76  A*26:01:01-B*18:01:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 77  A*33:03:01-B*18:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 78  A*24:02:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 79  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 80  A*68:01-B*18:01-C*07:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.002011,446
 81  A*30:01:01-B*18:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.001723,595
 82  A*02:11-B*18:01-C*07:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.00175,849
 83  A*03:01:01-B*18:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.001023,595
 84  A*03:02:01-B*18:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.000692523,595

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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