Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 479) records   Pages: 1 2 3 4 5 of 5  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*30:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - China minority 4.51801,282
 2  A*30:01-B*13:02-C*06:02-DRB1*07:01  Taiwan pop 2 3.9000364
 3  A*02:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 3.6238192
 4  A*02:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 3.3333120
 5  A*02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 3.3333120
 6  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 3.11091,734
 7  B*13:02-C*06:02-DRB1*07:01  South Korea pop 3 2.9000485
 8  A*02:01-B*13:02-C*06:02-DRB1*07:01  Russia Bering Island Aleuts 2.8846104
 9  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01/02:02  South Korea pop 3 2.7000485
 10  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Korean 2.258577,584
 11  A*02:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 2.24501,028
 12  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Chinese 2.025499,672
 13  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 1.84081,075
 14  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 1.775923,595
 15  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 1.6340153
 16  A*26:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Kosovo 1.6130124
 17  A*02:01-B*13:02-C*06:02-DRB1*07:01  Poland DKMS 1.609720,653
 18  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Italy pop 5 1.6000975
 19  A*02:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 1.57491,510
 20  A*02:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Austria minority 1.36301,698
 21  A*03:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Puyanawa 1.3333150
 22  A*30:01-B*13:02-C*06:02-DRB1*07:01  Hong Kong Chinese BMDR 1.28347,595
 23  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01  Costa Rica Amerindians (G) 1.2647125
 24  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 1.25101,159
 25  A*30:01-B*13:02-C*06:02-DRB1*07:01  Italy pop 5 1.1800975
 26  A*30:01-B*13:02-C*06:02-DRB1*07:01  USA Italy Ancestry 1.0990273
 27  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 1.0753186
 28  A*02:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Croatia minority 1.07102,057
 29  A*30:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 1.05641,510
 30  A*02:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Portugal minority 1.05301,176
 31  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  USA San Diego 1.0420496
 32  A*03:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Poland 1.0000200
 33  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Southeast Asian 0.989427,978
 34  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP South Asian Indian 0.9874185,391
 35  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Middle Eastern or North Coast of Africa 0.983870,890
 36  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.98204,856
 37  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.97801,772
 38  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.9300215
 39  A*30:01-B*13:02-C*06:02-DRB1*07:01  Poland DKMS 0.898720,653
 40  A*24:02-B*13:02-C*06:02-DRB1*07:01  Poland DKMS 0.891820,653
 41  A*30:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Romania minority 0.88901,234
 42  A*30:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - France minority 0.88701,406
 43  A*02:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Romania minority 0.88201,234
 44  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo pop 2 0.8600234
 45  B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo pop 2 0.8600234
 46  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.859823,595
 47  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.85835,829
 48  A*02:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - United Kingdom minority 0.85301,043
 49  A*24:02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.8333120
 50  A*68:01:02:02-B*13:02:01-C*06:02:01:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.8333120
 51  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.828011,446
 52  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.7810496
 53  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.77855,266
 54  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.77301,159
 55  A*30:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Austria minority 0.70301,698
 56  B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.6993143
 57  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.69104,856
 58  A*24:02:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.691023,595
 59  A*30:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 0.67901,028
 60  A*30:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Spain minority 0.67801,107
 61  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Puyanawa 0.6667150
 62  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.66192,492
 63  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01  Nicaragua Mestizo (G) 0.6452155
 64  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP European Caucasian 0.63911,242,890
 65  A*30:10-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02-DPB1*02:01  Tanzania Maasai 0.6390336
 66  A*30:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Portugal minority 0.63501,176
 67  A*30:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Greece minority 0.62301,894
 68  A*30:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Croatia minority 0.61902,057
 69  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.61604,335
 70  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Italy pop 5 0.5900975
 71  A*26:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*06:02:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Parda 0.5882170
 72  A*30:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Netherlands minority 0.58201,374
 73  A*03:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.5376186
 74  A*24:02-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Croatia minority 0.52702,057
 75  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.52012,403
 76  A*24:02-B*13:02-C*06:02-DRB1*07:01  Italy pop 5 0.5200975
 77  A*24:02-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Greece minority 0.51201,894
 78  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.50595,849
 79  A*02:01-B*13:02-C*06:02-DRB1*07:01:01-DQB1*02:01  England North West 0.5000298
 80  A*02:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Netherlands minority 0.49701,374
 81  A*32:01-B*13:02-C*06:02-DRB1*07:01  Russia Bering Island Aleuts 0.4808104
 82  A*30:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - United Kingdom minority 0.47901,043
 83  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.47851,463
 84  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.4700215
 85  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.46801,999
 86  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.46493,456,066
 87  A*24:02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.46141,510
 88  A*24:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Italy pop 5 0.4600975
 89  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:02  Russia Karelia 0.45831,075
 90  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 91  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Hispanic South or Central American 0.4457146,714
 92  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Mexican or Chicano 0.4443261,235
 93  A*24:02-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 0.44401,028
 94  A*02:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Spain minority 0.43401,107
 95  A*11:01-B*13:02-C*06:02-DRB1*07:01-DQA1*01:01-DQB1*05:01-DPB1*17:01  Nicaragua Managua 0.4329339
 96  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  Nicaragua Managua 0.4329339
 97  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.43065,926
 98  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.4210356
 99  A*03:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 100  A*26:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119

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 479) records   Pages: 1 2 3 4 5 of 5  


   

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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