Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 97 (from 97) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Kosovo 2.4190124
 2  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 1.7647170
 3  A*30:02:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Rio de Janeiro Black 1.470668
 4  B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 1.0490143
 5  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Poland 1.0000200
 6  A*33:18-B*44:45-C*04:01-DRB1*07:01-DQB1*02:02  Colombia North Wiwa El Encanto 0.961552
 7  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  United Arab Emirates Abu Dhabi 0.960052
 8  A*11:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  United Arab Emirates Abu Dhabi 0.960052
 9  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.937323,595
 10  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.85504,335
 11  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.82201,510
 12  A*02:01:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.7812192
 13  A*01:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  USA San Diego 0.7810496
 14  A*02:01:01-B*44:02:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 15  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6230405
 16  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*13:01:01  Russian Federation Vologda Region 0.4202119
 17  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 18  A*03:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Kosovo 0.4030124
 19  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.3891521
 20  A*33:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Indian 0.3690271
 21  A*01:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 22  A*29:02-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 23  A*68:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 24  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:02:01  Russia Belgorod region 0.3268153
 25  A*02:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 26  A*01:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Italy pop 5 0.2900975
 27  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 28  A*02:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.285823,595
 29  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.2810356
 30  A*32:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.26445,849
 31  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.25174,204
 32  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  Sri Lanka Colombo 0.2101714
 33  A*11:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02-DPB1*04:01  Panama 0.1900462
 34  A*32:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.14194,204
 35  A*33:03-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.1401714
 36  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Italy pop 5 0.1400975
 37  A*03:01-B*44:02-C*04:01-DRB1*07:01-DQB1*02:02  Italy pop 5 0.1400975
 38  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 39  A*02:01:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.11951,510
 40  A*01:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 41  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.100211,446
 42  A*03:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.097523,595
 43  A*24:02:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.096123,595
 44  A*01:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.089823,595
 45  A*32:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.08651,734
 46  A*11:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.08104,204
 47  A*26:01-B*44:03-C*04:01-DRB1*07:01-DQA1*01:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 48  A*68:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  Sri Lanka Colombo 0.0700714
 49  A*11:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 50  A*24:02-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 51  A*66:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 52  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.06435,829
 53  A*11:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.05771,734
 54  A*01:01:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.05761,510
 55  A*03:01:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.05711,510
 56  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.05145,849
 57  A*32:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.04295,829
 58  A*03:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.04265,829
 59  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India East UCBB 0.04062,403
 60  A*26:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03891,510
 61  A*26:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.03425,849
 62  A*02:05-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 63  A*03:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 64  A*23:01-B*44:130-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 65  A*02:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 66  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.02881,734
 67  A*11:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.028223,595
 68  A*24:02-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.027611,446
 69  A*01:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.02504,204
 70  A*31:01:02-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.023723,595
 71  A*11:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India East UCBB 0.02082,403
 72  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.02075,829
 73  A*01:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.01725,829
 74  A*68:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.01725,829
 75  A*01:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.016211,446
 76  A*68:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01624,204
 77  A*26:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.014523,595
 78  A*32:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.014023,595
 79  A*03:02:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.012723,595
 80  A*74:03-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.012723,595
 81  A*32:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.012211,446
 82  A*02:05-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 83  A*26:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 84  A*11:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.011511,446
 85  A*68:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.011411,446
 86  A*11:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.00905,829
 87  A*11:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.00885,849
 88  A*26:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.008611,446
 89  A*29:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 90  A*33:03-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.00865,849
 91  A*03:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 92  A*68:01:02-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.006223,595
 93  A*30:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004823,595
 94  A*31:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.003911,446
 95  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.003811,446
 96  A*03:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.002611,446
 97  A*29:02:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595

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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