Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 91 (from 91) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01:01:01-B*50:01:01-DRB1*07:01:01:01  Libya Cyrenaica 4.2400118
 2  A*23:01:01-B*50:01:01-DRB1*07:01:01:01  Libya Cyrenaica 2.1200118
 3  A*24:02:01-B*50:01:01-C*15:02:01-DRB1*07:01:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 4  A*02:05:01-B*50:01:01-DRB1*07:01:01:01  Libya Cyrenaica 1.2700118
 5  A*23:01-B*50:01-DRB1*07:01:01  Portugal South 1.000049
 6  A*02:01:01:01-B*50:01:01-C*06:02:01:02-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.8333120
 7  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.807228,927
 8  A*32:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.7000215
 9  A*23:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.667628,927
 10  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.599428,927
 11  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*14:01:01  Saudi Arabia pop 6 (G) 0.527428,927
 12  A*01:01:01:01-B*50:01:01-C*06:02:01:02-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.5208192
 13  A*33:03:01-B*50:01:01-C*06:02:01:02-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.5208192
 14  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.515428,927
 15  A*02:05-B*50:01-C*06:02-DRB1*07:01:01-DQB1*02:01  England North West 0.5000298
 16  A*30:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 17  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 18  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.359228,927
 19  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.346428,927
 20  A*24:02:01-B*50:01:01-C*01:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*03:01-DPA1*02:01:01-DPB1*13:01:01  Russia Belgorod region 0.3268153
 21  A*23:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.325228,927
 22  A*26:01:01-B*50:01:01-C*12:03:01-DRB1*07:01:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 23  A*33:03:01-B*50:01:01-C*06:02:01-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*02:01-B*50:01-C*06:02-DRB1*07:01:01-DQB1*02:01  England North West 0.3000298
 25  A*02:05:01-B*50:01:01-C*06:02:01:02-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.29801,510
 26  A*31:01:02-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.296728,927
 27  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 28  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.268623,595
 29  A*02:08-B*50:01:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 30  A*11:01:01:01-B*50:01:01-C*06:02:01:02-DRB1*07:01:01:01-DQB1*03:03:02:01  Russia Bashkortostan, Tatars 0.2604192
 31  A*33:03:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.250828,927
 32  A*68:01:01-B*50:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*10:01:01  Saudi Arabia pop 6 (G) 0.228928,927
 33  A*02:05:01-B*50:01:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 34  A*24:02:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 35  A*33:03:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 36  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.164128,927
 37  A*31:01:02-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.162728,927
 38  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.159128,927
 39  A*23:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.153228,927
 40  A*24:02:01:01-B*50:01:01-C*06:02:01:02-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.15261,510
 41  A*32:01:01-B*50:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.146728,927
 42  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:10  India Kerala Malayalam speaking 0.1400356
 43  A*24:02:01-B*50:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 44  A*24:02:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.128028,927
 45  A*01:01:01-B*50:01:01-C*02:02:02-DRB1*07:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.12525,266
 46  A*01:01:01:01-B*50:01:01-C*06:02:01:02-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.11231,510
 47  A*26:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.111328,927
 48  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.106628,927
 49  A*31:01:02-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.092728,927
 50  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.090023,595
 51  A*01:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.08651,734
 52  A*32:01:01-B*50:01:01-C*06:02:01:02-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.06621,510
 53  A*68:01:01:02-B*50:01:01-C*06:02:01:02-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.06621,510
 54  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.05771,734
 55  A*01:01:01-B*50:01:01-C*02:02:02-DRB1*07:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04145,266
 56  A*01:01:01:01-B*50:01:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 57  A*02:01:01:01-B*50:01:01-C*06:02:01:02-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 58  A*02:01:04-B*50:01:01-C*06:02:01:02-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 59  A*68:01:02:02-B*50:01:01-C*06:02:01:02-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 60  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.022323,595
 61  A*32:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.021123,595
 62  A*01:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.020223,595
 63  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 64  A*11:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 65  A*23:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.017423,595
 66  A*11:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.012823,595
 67  A*02:06:01-B*50:01:01-C*02:02:02-DRB1*07:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00945,266
 68  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00935,266
 69  A*68:02:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.008023,595
 70  A*11:01:01-B*50:01:01-C*01:02:01-DRB1*07:01:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00755,266
 71  A*24:02:13-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.006423,595
 72  A*68:01:02-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004823,595
 73  A*02:01:01-B*50:01:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004223,595
 74  A*30:04:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004123,595
 75  A*23:01:01-B*50:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004123,595
 76  A*33:03:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004123,595
 77  A*25:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002523,595
 78  A*31:01:02-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002423,595
 79  A*23:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002323,595
 80  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002323,595
 81  A*29:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002223,595
 82  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 83  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*06:04:01  Poland BMR 0.002123,595
 84  A*02:05:01-B*50:01:01-C*06:159-DRB1*07:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 85  A*02:12-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 86  A*02:27-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 87  A*03:01:01-B*50:01:01-C*02:02:02-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 88  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 89  A*29:02:01-B*50:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 90  A*32:01:18-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 91  A*26:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.001923,595

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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