Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 163) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01:01-B*51:01:01-DRB1*11:01:01  Portugal North 3.300046
 2  A*24:02:01-B*51:01:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Black 2.381073
 3  A*24:02:01-B*51:01:01-DRB1*11:01:01  Bulgaria 1.800055
 4  B*51:01:01-DRB1*11:01:01  Taiwan Hakka 1.800055
 5  A*30:01-B*51:01:01-DRB1*11:01:01  Cape Verde Northwestern Islands 1.600062
 6  A*02:01:01-B*51:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 1.4000215
 7  A*02:01:01-B*51:01:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 1.1765170
 8  A*02:01:01-B*51:01:01-DRB1*11:01:01  Portugal South 1.000049
 9  A*02:01:01-B*51:01:01-DRB1*11:01:01  Portugal Center 1.000050
 10  A*24:02:01-B*51:01:01-DRB1*11:01:01  Portugal Center 1.000050
 11  A*29:02-B*51:01:01-DRB1*11:01:01  Portugal South 1.000049
 12  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 13  A*24:02:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*34:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 14  A*02:07:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:03:02  Vietnam Kinh 0.4950101
 15  A*02:01:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 16  A*03:01:01-B*51:01:01-C*07:02:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 17  A*03:01-B*51:01:01-C*04:01:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 18  A*33:03:01-B*51:01:01-C*05:01:01-DRB1*11:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 19  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.2810356
 20  A*24:02:13-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 21  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.24521,734
 22  A*68:01:01-B*51:01:01-C*15:04:01-DRB1*11:01:01-DQB1*03:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.233528,927
 23  A*29:02:01-B*51:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 24  A*31:01:02-B*51:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 25  A*31:01:02-B*51:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 26  A*01:01:01-B*51:01:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 27  A*01:01:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 28  A*02:01:01-B*51:01:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 29  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 30  A*26:01:01-B*51:01:01-C*16:02:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 31  A*31:01:02-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 32  A*03:02:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.126128,927
 33  A*02:01:01:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.11381,510
 34  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.09175,266
 35  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.088923,595
 36  A*02:01:01-B*51:01:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.076623,595
 37  A*02:01:01:01-B*51:01:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 38  A*31:01:02:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 39  A*24:02:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.048823,595
 40  A*02:01:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.039723,595
 41  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03725,266
 42  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03625,266
 43  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:13  China Zhejiang Han 0.03341,734
 44  A*01:01:01:01-B*51:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 45  A*02:01:01:01-B*51:01:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 46  A*02:01:01:01-B*51:01:01-C*02:29-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 47  A*02:01:01:01-B*51:01:01-C*15:06:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 48  A*02:01:01:01-B*51:01:01-C*16:02:01-DRB1*11:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 49  A*03:01:01:01-B*51:01:01-C*15:02:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 50  A*24:02:01:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 51  A*25:01:01-B*51:01:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 52  A*30:01:01-B*51:01:01-C*15:04-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 53  A*32:01:01-B*51:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 54  A*66:01:01-B*51:01:01-C*15:02:01:01-DRB1*11:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 55  A*68:01:02:01-B*51:01:01-C*15:02:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 56  A*68:01:02:02-B*51:01:01-C*03:02:02:01-DRB1*11:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 57  A*68:01:02:02-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 58  A*68:02:01:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 59  A*11:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.030423,595
 60  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*05:03:01  China Zhejiang Han 0.02881,734
 61  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 62  A*11:02:01-B*51:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 63  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 64  A*24:02:01-B*51:01:01-C*14:02:07-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 65  A*31:01:02-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 66  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.027223,595
 67  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.024923,595
 68  A*24:02:01-B*51:01:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.022323,595
 69  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01975,266
 70  A*01:01:01-B*51:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.019123,595
 71  A*33:03:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01915,266
 72  A*02:06:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 73  A*24:02:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.01861,510
 74  A*03:01:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.017223,595
 75  A*26:01:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.015823,595
 76  A*03:01:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.013023,595
 77  A*01:01:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.012723,595
 78  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.012323,595
 79  A*29:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.011023,595
 80  A*33:03:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01065,266
 81  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*11:01:01-DQB1*03:02:01  Poland BMR 0.010623,595
 82  A*26:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.010023,595
 83  A*03:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.009823,595
 84  A*02:01:01-B*51:01:01-C*07:04:01-DRB1*11:01:01-DPB1*135:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 85  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DPB1*38:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 86  A*11:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00935,266
 87  A*02:01:01-B*51:01:01-C*02:02:02-DRB1*11:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00915,266
 88  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00855,266
 89  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.008223,595
 90  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*11:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00815,266
 91  A*24:02:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*06:02:01  Poland BMR 0.007923,595
 92  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.007923,595
 93  A*68:01:02-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.007323,595
 94  A*03:02:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.006823,595
 95  A*02:01:01-B*51:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.006423,595
 96  A*68:01:02-B*51:01:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.006423,595
 97  A*24:02:01-B*51:01:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.006323,595
 98  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00605,266
 99  A*26:01:01-B*51:01:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.006023,595
 100  A*03:01:01-B*51:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.005823,595

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).


Displaying 1 to 100 (from 163) 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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