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 : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 1,849) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 19  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*58:01-C*03:02  Taiwan Hakka 10.900055
 2  B*58:01-C*03:02  Taiwan Minnan pop 1 8.8000102
 3  A*33:03-C*03:02  Taiwan Minnan pop 1 8.3000102
 4  A*33:03-C*03:02  Taiwan Hakka 8.200055
 5  A*33:03-B*58:01-C*03:02  China Southwest Dai 7.7000124
 6  A*33:03-B*58:01-C*03:02  China Canton Han 7.4000264
 7  B*58:01-C*03:02  USA Asian 7.2000358
 8  A*33:03-B*58:01-C*03:02  USA Asian 5.9000358
 9  A*33:03-B*58:01-C*03:02  South Korea pop 3 5.8000485
 10  B*58:01-C*03:02  USA Asian pop 2 5.54301,772
 11  A*33-B*58-C*03:02  South Korea pop 1 5.4000324
 12  A*33:03:01-B*58:01:01-C*03:02:02  South African Indian population 5.000050
 13  A*33:03-C*03:02  Taiwan Thao 5.000030
 14  B*58:01-C*03:02  Taiwan Thao 5.000030
 15  B*58:01-C*03:02  Taiwan Siraya 4.900051
 16  A*33:03-B*58:01-C*03:02-DRB1*03:01  Hong Kong Chinese BMDR 4.64297,595
 17  A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Chinese 4.600599,672
 18  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  Vietnam Kinh 4.4550101
 19  A*33:03-B*58:01-C*03:02-DRB1*03:01  China Southwest Dai 4.4000124
 20  B*58:01-C*03:02-DRB1*03:01  China Southwest Dai 4.4000124
 21  B*58:01-C*03:02  Kenya Nandi 4.2000240
 22  A*33:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Chinese 4.1237194
 23  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  China Zhejiang Han 4.01521,734
 24  A*33:03-B*58:01-C*03:02-DRB1*03:01  Taiwan pop 2 3.9000364
 25  A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Vietnamese 3.668143,540
 26  A*33:03-C*03:02  Taiwan Pazeh 3.600055
 27  B*58:01-C*03:02  Taiwan Pazeh 3.600055
 28  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Vietnam Hanoi Kinh pop 2 3.5000170
 29  B*58:01-C*03:02-DRB1*13:02  South Korea pop 3 3.3000485
 30  A*33:03-B*58:01-C*03:02-DRB1*03:01  China Yunnan Province Han 3.0000101
 31  A*33:03-B*58:01-C*03:02-DRB1*13:02  China Yunnan Province Han 3.0000101
 32  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  South Korea pop 3 3.0000485
 33  A*33:03-B*58:01-C*03:02-DRB1*03:01  Iran Baloch 2.9000100
 34  A*33:03-C*03:02  Taiwan Siraya 2.900051
 35  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP Korean 2.716577,584
 36  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 2.56105,266
 37  A*33:03-B*58:01-C*03:02-DRB1*13:02  China Southwest Dai 2.4000124
 38  B*58:01-C*03:02-DRB1*13:02  China Southwest Dai 2.4000124
 39  A*24:02-B*40:04-C*03:02/03:04-DRB1*14:02-DQA1*05:01-DQB1*03:01-DPA1*02-DPB1*04:02  Venezuela Sierra de Perija Yucpa 2.300073
 40  A*24:02-B*40:04-C*03:02/03:04-DRB1*14:02-DQA1*05:01-DQB1*03:01-DPA1*02-DPB1*14:01  Venezuela Sierra de Perija Yucpa 2.300073
 41  A*33:03-B*58:01-C*03:02-DRB1*03:01  Germany DKMS - China minority 2.22101,282
 42  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  USA Asian pop 2 2.21401,772
 43  B*58:01-C*03:02  USA African American 2.2000252
 44  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  India Andhra Pradesh Telugu Speaking 2.1050186
 45  A*33:03-B*58:01-C*03:02-DRB1*13:02  Taiwan pop 2 2.1000364
 46  B*58:01-C*03:02-DRB1*03:01  South Korea pop 3 2.1000485
 47  A*33:03-B*58:01-C*03:02-DRB1*15:04  China Yunnan Hani 2.0000150
 48  B*58:01-C*03:02  Uganda Kampala pop 2 2.0000175
 49  A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Filipino 1.950950,614
 50  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01/02:02  South Korea pop 3 1.9000485
 51  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Chinese 1.8041194
 52  A*11:01-C*03:02  Taiwan Hakka 1.800055
 53  A*01:01-B*58:01-C*03:02  Kenya Nandi 1.7000240
 54  B*82:01-C*03:02  Kenya Luo 1.7000265
 55  A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Southeast Asian 1.678627,978
 56  A*33:03-B*58:01-C*03:02-DRB1*13:02  Germany DKMS - China minority 1.63101,282
 57  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India North UCBB 1.52475,849
 58  A*01:02-B*58:01-C*03:02  Kenya Nandi 1.5000240
 59  B*58:01:01-C*03:02:01  China Jingpo Minority 1.4710105
 60  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01-DPA1*02:01:01-DPB1*30:01:01  Brazil Rio de Janeiro Black 1.470668
 61  A*33:03:01-C*03:02:01  China Jingpo Minority 1.4560105
 62  A*33:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Malay 1.4138951
 63  A*02:01:01-B*39:02:01-C*03:02:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 1.388972
 64  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  USA Asian pop 2 1.37701,772
 65  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 1.35381,734
 66  A*33-B*58-C*03:02-DRB1*03:01-DQB1*02  Russia Transbaikal Territory Buryats 1.3340150
 67  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP Vietnamese 1.304843,540
 68  B*58:01-C*03:02  Kenya Luo 1.3000265
 69  A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Korean 1.289377,584
 70  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP Chinese 1.262599,672
 71  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 1.2605714
 72  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India Central UCBB 1.22414,204
 73  A*11:01-B*58:01-C*03:02  China Guizhou Province Miao pop 2 1.200085
 74  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:05  Vietnam Hanoi Kinh pop 2 1.2000170
 75  A*68:01-B*40:04-C*03:02/03:04-DRB1*04:03-DQA1*03:01:01-DQB1*03:01-DPA1*02-DPB1*04:02  Venezuela Sierra de Perija Yucpa 1.200073
 76  A*33:03:01-B*58:01:01-C*03:02:01-DRB1*15:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 1.1490174
 77  A*33:03-B*58:01-C*03:02-DRB1*13:02  Hong Kong Chinese BMDR 1.14087,595
 78  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India East UCBB 1.13112,403
 79  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 1.1240356
 80  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 1.08112,492
 81  A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP South Asian Indian 1.0562185,391
 82  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India South UCBB 1.047311,446
 83  B*58:01:01-C*03:02:01-DRB1*03:01:01  China Jingpo Minority 1.0420105
 84  B*58:01-C*03:02  USA African American pop 4 1.03902,411
 85  A*33:03:01-C*03:02:01-DRB1*13:02:01  China Jingpo Minority 1.0310105
 86  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India Northeast UCBB 1.0135296
 87  A*30:02:01-B*58:01:01-C*03:02:02  South African Mixed ancestry 1.000050
 88  A*11:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  Vietnam Kinh 0.9900101
 89  A*33:03:01-B*58:01:01-C*03:02:01  China Jingpo Minority 0.9900105
 90  A*68:01-B*35:68-C*03:02-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 91  A*01:01-B*58:01-C*03:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  United Arab Emirates Abu Dhabi 0.960052
 92  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQA1*05:05-DQB1*02:01  United Arab Emirates Abu Dhabi 0.960052
 93  A*33:03-B*58:01-C*03:02-DRB1*15:01-DQA1*05:05-DQB1*06:02  United Arab Emirates Abu Dhabi 0.960052
 94  A*34:01-B*15:01-C*03:02-DRB1*08:03-DQA1*01:02-DQB1*05:02  United Arab Emirates Abu Dhabi 0.960052
 95  A*66:01-B*40:06-C*03:02-DRB1*16:02-DQA1*01:02-DQB1*06:02  United Arab Emirates Abu Dhabi 0.960052
 96  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.91035,829
 97  A*01:01-B*37:01-C*03:02-DRB1*10:01-DQB1*05:02  Iran Gorgan 0.780064
 98  A*02:34-B*35:01-C*03:02-DRB1*15:01-DQB1*06:02  Iran Gorgan 0.780064
 99  A*11:01-B*53:01-C*03:02-DRB1*07:01-DQB1*03:01  Iran Gorgan 0.780064
 100  A*26:01-B*40:01-C*03:02-DRB1*11:01-DQB1*06:02  Iran Gorgan 0.780064

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 1,849) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 19  


   

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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