Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 93 (from 93) 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*02:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  United Arab Emirates Abu Dhabi 0.960052
 7  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
 8  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
 9  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.85504,335
 10  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
 11  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
 12  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
 13  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
 14  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
 15  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 16  A*03:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Kosovo 0.4030124
 17  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
 18  A*33:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Indian 0.3690271
 19  A*01:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 20  A*29:02-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 21  A*68:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 22  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
 23  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
 24  A*01:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Italy pop 5 0.2900975
 25  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
 26  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
 27  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
 28  A*32:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.26445,849
 29  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.25174,204
 30  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
 31  A*11:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02-DPB1*04:01  Panama 0.1900462
 32  A*32:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.14194,204
 33  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
 34  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Italy pop 5 0.1400975
 35  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 36  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
 37  A*01:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 38  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.100211,446
 39  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
 40  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
 41  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
 42  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
 43  A*11:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.08104,204
 44  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
 45  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
 46  A*11:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 47  A*24:02-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 48  A*66:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 49  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.06435,829
 50  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
 51  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
 52  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
 53  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.05145,849
 54  A*32:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.04295,829
 55  A*03:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.04265,829
 56  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India East UCBB 0.04062,403
 57  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
 58  A*26:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.03425,849
 59  A*02:05-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 60  A*03:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 61  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
 62  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
 63  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
 64  A*24:02-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.027611,446
 65  A*01:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.02504,204
 66  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
 67  A*11:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India East UCBB 0.02082,403
 68  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.02075,829
 69  A*01:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.01725,829
 70  A*68:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.01725,829
 71  A*01:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.016211,446
 72  A*68:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01624,204
 73  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
 74  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
 75  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
 76  A*74:03-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.012723,595
 77  A*32:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.012211,446
 78  A*02:05-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 79  A*26:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 80  A*11:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.011511,446
 81  A*68:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.011411,446
 82  A*11:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.00905,829
 83  A*11:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.00885,849
 84  A*26:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.008611,446
 85  A*29:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 86  A*33:03-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.00865,849
 87  A*03:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 88  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
 89  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
 90  A*31:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.003911,446
 91  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.003811,446
 92  A*03:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.002611,446
 93  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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