Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 74 (from 74) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.8403119
 2  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 3  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.5750174
 4  A*24:02-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.47982,403
 5  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQA1*01:02:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 6  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*02:01:02-DPB1*17:01:01  Russian Federation Vologda Region 0.4202119
 7  A*02:01:01-B*07:02:01-C*07:02:01:03-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 8  A*32:01-B*07:02-C*07:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Kosovo 0.4030124
 9  A*03:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India Northeast UCBB 0.3378296
 10  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*02:01  Russia Belgorod region 0.3268153
 11  A*02:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.23904,335
 12  A*24:02-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.231111,446
 13  A*30:04:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*104:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 14  A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.16631,510
 15  A*11:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.16151,510
 16  A*24:02-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.14085,829
 17  A*03:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 18  A*03:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.12442,403
 19  A*33:03-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.12182,403
 20  A*01:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.11512,403
 21  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.101523,595
 22  A*24:02-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.08674,204
 23  A*01:01-B*07:02-C*07:02-DRB1*07:01-DQA1*05:01-DQB1*02:02-DPB1*26:01  Sri Lanka Colombo 0.0700714
 24  A*03:01-B*07:02-C*07:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Sri Lanka Colombo 0.0700714
 25  A*24:07-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.06865,829
 26  A*24:02-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 27  A*03:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.06731,510
 28  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.060323,595
 29  A*03:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.05864,204
 30  A*01:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.058111,446
 31  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.05771,734
 32  A*01:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.05565,849
 33  A*11:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.054611,446
 34  A*03:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.0526951
 35  A*11:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.05205,829
 36  A*24:07-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.04764,204
 37  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.044323,595
 38  A*03:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.04295,849
 39  A*31:12-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.04162,403
 40  A*24:02-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.04025,849
 41  A*01:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.03764,204
 42  A*02:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.03674,204
 43  A*31:12-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.03534,204
 44  A*01:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 45  A*31:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 46  A*32:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 47  A*23:01:01-B*07:02:01-C*07:02:01:03-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 48  A*02:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.02775,849
 49  A*33:03-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.02605,829
 50  A*02:11-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.024211,446
 51  A*02:11-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.02102,403
 52  A*02:09-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.02082,403
 53  A*11:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.02084,204
 54  A*02:11-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.01835,849
 55  A*02:05-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.01775,849
 56  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.013123,595
 57  A*33:03-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.012911,446
 58  A*68:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01284,204
 59  A*26:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.011211,446
 60  A*02:09-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.009711,446
 61  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.009223,595
 62  A*26:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.00875,829
 63  A*02:05-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 64  A*24:17-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 65  A*29:02-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 66  A*31:12-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 67  A*32:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.008411,446
 68  A*26:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.00805,849
 69  A*03:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.007411,446
 70  A*02:05-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 71  A*68:01:02-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004223,595
 72  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.003723,595
 73  A*11:01:79-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002523,595
 74  A*25:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002023,595

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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