Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 1,326) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 14  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*31:08-B*13:02-C*06:02  India West Coast Parsi 4.700050
 2  A*30:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - China minority 4.51801,282
 3  A*30:01-B*13:02-C*06:02-DRB1*07:01  Taiwan pop 2 3.9000364
 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, Tatars 3.6238192
 5  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
 6  A*02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 3.3333120
 7  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
 8  A*30:01-B*13:02-C*06:02  South Korea pop 3 3.1000485
 9  B*13:02-C*06:02-DRB1*07:01  South Korea pop 3 2.9000485
 10  A*02:01-B*13:02-C*06:02-DRB1*07:01  Russia Bering Island Aleuts 2.8846104
 11  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01/02:02  South Korea pop 3 2.7000485
 12  A*11:01:01-B*13:02:01-C*06:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Black 2.381073
 13  B*13:02-C*06:02  USA Asian pop 2 2.27401,772
 14  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Korean 2.258577,584
 15  A*02:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 2.24501,028
 16  B*13:02-C*06:02  Uganda Kampala 2.2000161
 17  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Chinese 2.025499,672
 18  B*13:02-C*06:02  Tunisia 2.0000100
 19  B*13:02-C*06:02  USA North American Native 1.9000187
 20  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 1.84081,075
 21  B*13:02-C*06:02  USA Asian 1.8000358
 22  B*13:02-C*06:02  Taiwan Hakka 1.800055
 23  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
 24  B*13:02-C*06:02  Ireland Northern 1.70001,000
 25  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
 26  A*26:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Kosovo 1.6130124
 27  A*02:01-B*13:02-C*06:02-DRB1*07:01  Poland DKMS 1.609720,653
 28  A*30:01-B*13:02-C*06:02  Uganda Kampala 1.6000161
 29  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Italy pop 5 1.6000975
 30  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
 31  A*30:01-B*13:02-C*06:02  China Canton Han 1.5000264
 32  B*13:02-C*06:02  Kenya Nandi 1.5000240
 33  A*02:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Austria minority 1.36301,698
 34  A*30:01-B*13:02-C*06:02  Italy pop 5 1.3400975
 35  A*03:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Puyanawa 1.3333150
 36  A*30:01-B*13:02-C*06:02  USA Asian 1.3000358
 37  B*13:02-C*06:02  USA Caucasian pop 2 1.3000265
 38  A*30:01-B*13:02-C*06:02-DRB1*07:01  Hong Kong Chinese BMDR 1.28347,595
 39  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01  Costa Rica Amerindians (G) 1.2647125
 40  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 1.25101,159
 41  B*13:02-C*06:02  Italy pop 5 1.2300975
 42  A*02:01-B*13:02-C*06:02  Ireland South 1.2000250
 43  A*30:01-B*13:02-C*06:02  USA San Francisco Caucasian 1.2000220
 44  B*13:02-C*06:02  USA African American 1.2000252
 45  A*30:01-B*13:02-C*06:02-DRB1*07:01  Italy pop 5 1.1800975
 46  B*13:02-C*06:02  USA Hispanic pop 2 1.17901,999
 47  B*13:02-C*06:02  Uganda Kampala pop 2 1.1000175
 48  B*13:02-C*06:02  USA Hispanic 1.1000234
 49  A*30:01-B*13:02-C*06:02-DRB1*07:01  USA Italy Ancestry 1.0990273
 50  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
 51  A*02:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Croatia minority 1.07102,057
 52  B*13:02-C*06:02  Mexico Mexico City Mestizo pop 2 1.0600234
 53  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
 54  A*29:11-B*13:02:01-C*06:02:01-DRB1*12:01:01-DQB1*05:01:01-DPB1*105:01:01  South African Black 1.0560142
 55  A*02:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Portugal minority 1.05301,176
 56  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
 57  A*03:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Poland 1.0000200
 58  A*68:02-B*13:02-C*06:02  Kenya Nandi 1.0000240
 59  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
 60  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
 61  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
 62  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.98204,856
 63  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.97801,772
 64  A*30:01:01-B*13:02:01-C*06:02:01  England Blood Donors of Mixed Ethnicity 0.9634519
 65  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
 66  A*30:01-B*13:02-C*06:02-DRB1*07:01  Poland DKMS 0.898720,653
 67  A*24:02-B*13:02-C*06:02-DRB1*07:01  Poland DKMS 0.891820,653
 68  A*30:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Romania minority 0.88901,234
 69  A*30:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - France minority 0.88701,406
 70  A*02:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Romania minority 0.88201,234
 71  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo pop 2 0.8600234
 72  B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo pop 2 0.8600234
 73  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
 74  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.85835,829
 75  A*02:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - United Kingdom minority 0.85301,043
 76  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
 77  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
 78  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.828011,446
 79  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
 80  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
 81  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.77301,159
 82  B*13:02-C*06:02  USA African American pop 4 0.72702,411
 83  A*30:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Austria minority 0.70301,698
 84  B*13:02-C*06:02  Mexico Mexico City Mestizo population 0.6993143
 85  B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.6993143
 86  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.69104,856
 87  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
 88  A*30:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 0.67901,028
 89  A*30:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Spain minority 0.67801,107
 90  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Puyanawa 0.6667150
 91  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.66192,492
 92  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01  Nicaragua Mestizo (G) 0.6452155
 93  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
 94  A*30:10-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02-DPB1*02:01  Tanzania Maasai 0.6390336
 95  A*30:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Portugal minority 0.63501,176
 96  A*30:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Greece minority 0.62301,894
 97  A*30:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Croatia minority 0.61902,057
 98  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.61604,335
 99  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Italy pop 5 0.5900975
 100  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170

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 1,326) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 14  


   

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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