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 1,710) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 18  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*33-B*44-DRB1*13  Brazil Parana Oriental 7.600033
 2  A*33-B*44-DRB1*13:02  South Korea pop 1 5.5000324
 3  A*33:03-B*44:03-DRB1*13:02  South Korea pop 10 4.60004,128
 4  A*33:03-B*44:03-DRB1*13:02  South Korea pop 3 4.6000485
 5  B*44:03-DRB1*13:02-DQB1*06:04  South Korea pop 3 4.6000485
 6  B*44:03-C*14:03-DRB1*13:02  South Korea pop 3 4.5000485
 7  A*33:03-B*44:03-C*14:03-DRB1*13:02  Japan pop 16 4.473018,604
 8  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04  South Korea pop 3 4.2000485
 9  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Japanese 3.926724,582
 10  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04-DPB1*04:01  Japan Central 3.6000371
 11  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Korean 3.491577,584
 12  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*04:01  Japan pop 17 3.13003,078
 13  A*29-B*44-DRB1*13:01-DQB1*06:03  Spain Pas Valley 2.700088
 14  A*02:05:01-B*44:03:01-C*04:01:01-DRB1*13:02:01-DQB1*03:02:01-DPA1*02:01:07-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 2.381073
 15  A*33:03-B*44:03-DRB1*13:02  China Jiangsu Han 2.14003,238
 16  A*02-B*44-DRB1*13  Portugal Bragança 2.1000301
 17  A*03-B*44-DRB1*13-DQB1*06  Mexico Baja California, Tijuana 2.000025
 18  A*11:01:01-B*44:02:01-DRB1*13:01:01  Portugal South 2.000049
 19  A*23:01-B*44:03:01-DRB1*13:03  Portugal South 2.000049
 20  A*02-B*44-DRB1*13-DQA1*01:03-DQB1*06:03  Georgia Svaneti Region Svan 1.900080
 21  A*34-B*44-DRB1*13  Mozambique 1.9000202
 22  A*24:02-B*44:02-DRB1*13:01  New Zealand Polynesians with Admixed History 1.852027
 23  A*34:02:01-B*44:03:01-C*04:01:01-DRB1*13:01  Costa Rica Guanacaste Mestizo (G) 1.8182110
 24  A*02-B*44-DRB1*13  Portugal Viana do Castelo 1.8000706
 25  A*33:03-B*44:03-DRB1*13:02  China Jiangsu Province Han 1.7400334
 26  A*02:01-B*44:02-C*05:01-DRB1*13:01  Brazil Vale do Ribeira Quilombos 1.7361144
 27  A*11-B*44-DRB1*13-DQB1*06  Mexico Jalisco, Tlajomulco 1.666730
 28  A*02:01:01-B*44:02:01-DRB1*13:01:01  Madeira 1.6000185
 29  A*02-B*44-DRB1*13  Brazil Rio Grande do Sul Mixed 1.5000324
 30  A*01:01:01-B*44:02:01-C*07:18:01-DRB1*13:03:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 31  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 32  A*02-B*44-DRB1*13  Brazil Rio Grande do Sul Black 1.4000248
 33  A*02-B*44-DRB1*13  Portugal Beja 1.4000699
 34  A*02-B*44-DRB1*13  Portugal Faro 1.40001,242
 35  A*24-B*44-DRB1*13  Portugal Castelo Branco 1.4000327
 36  A*33-B*44-DRB1*13  China Jiangsu Province 1.400020,248
 37  A*02-B*44-DRB1*13-DQB1*06  Mexico Coahuila, Saltillo 1.369972
 38  A*02:01-B*44:02-DRB1*13:03  Azores Oriental Islands 1.300043
 39  A*02-B*44-DRB1*13-DQA1*01:03-DQB1*06:02  Georgia Svaneti Region Svan 1.300080
 40  A*03-B*44-DRB1*13  Brazil Parana Afro Brazilian 1.300077
 41  A*26-B*44-DRB1*13-DQB1*06  Mexico Jalisco, Tlaquepaque 1.282139
 42  A*01:01-B*44:02-DRB1*13:01  Gaza 1.282042
 43  A*02-B*44-DRB1*13  Portugal Braga 1.20001,971
 44  A*02-B*44-DRB1*13  Madeira pop 3 1.2000538
 45  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04-DPB1*02:01  Japan Central 1.2000371
 46  A*33-B*44-DRB1*13:02  USA NMDP Asian and Pacific Islander 1.2000359,423
 47  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 1.1312221
 48  A*02-B*44-DRB1*13  Brazil Parana Mixed race 1.1000186
 49  A*02-B*44-DRB1*13  Portugal Santarem 1.10003,865
 50  A*02-B*44-DRB1*13  Portugal Aveiro 1.10005,933
 51  A*02-B*44-DRB1*13  Portugal South pop 2 1.10001,021
 52  A*02-B*44-C*05-DRB1*13  Austria Cord Bloods 1.09001,368
 53  A*02-B*44-DRB1*13-DQB1*03  Iraq Arabs 1.0100149
 54  A*02:01:01-B*44:02:01-DRB1*13:01:01  Portugal South 1.000049
 55  A*02-B*44-DRB1*13  Portugal Coimbra 1.00005,057
 56  A*02-B*44-DRB1*13  Portugal Leiria 1.00001,847
 57  A*02-B*44-DRB1*13  Portugal Lisbon 1.000017,420
 58  A*02-B*44-DRB1*13  Portugal Porto 1.00007,937
 59  A*02-B*44-DRB1*13  Brazil Rio Grande do Sul Caucasoid 1.00004,428
 60  A*11:01:01-B*44:02:01-DRB1*13:01:01  Portugal Center 1.000050
 61  A*24:02:01-B*44:02:01-DRB1*13:02:01  Portugal South 1.000049
 62  A*24:02:01-B*44:03:01-DRB1*13:02:01  Portugal South 1.000049
 63  A*29:02-B*44:02:01-DRB1*13:01:01  Portugal South 1.000049
 64  A*24:02-B*44:03-C*07:06-DRB1*13:01-DQA1*01:03-DQB1*06:03  United Arab Emirates Abu Dhabi 0.960052
 65  A*33-B*44-DRB1*13  India sub-Himalayan West Bengal Kami 0.9400158
 66  A*02-B*44-C*05-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.92731,743
 67  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01  Costa Rica Guanacaste Mestizo (G) 0.9091110
 68  A*33-B*44-DRB1*13  China Shaanxi Province Han 0.900010,000
 69  A*26-B*44-DRB1*13-DQB1*06  Mexico Veracruz, Cordoba 0.892956
 70  A*02:01-B*44:02-C*05:01-E*01:03:01-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.8772130
 71  A*01:01-B*44:03-DRB1*13:02  Israel Morocco Jews 0.844036,718
 72  A*29-B*44-DRB1*13-DQB1*06  Mexico Veracruz, Orizaba 0.833360
 73  A*02:01-B*44:02-C*05:01-DRB1*13:01:01-DQB1*06:03:01  England North West 0.8000298
 74  A*02-B*44-DRB1*13  Brazil South Ribeirao Preto 0.8000184
 75  A*02-B*44-DRB1*13  Iraq Erbil 0.8000372
 76  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.7930174
 77  A*29-B*44-DRB1*13-DQB1*03:01  Mexico Nayarit Rural 0.781264
 78  A*33:03-B*44:03-C*14:03-DRB1*13:02  Germany DKMS - China minority 0.78001,282
 79  A*24:02:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.7782521
 80  A*02-B*44-DRB1*13  Brazil Para Cord Blood Unit 0.7717841
 81  A*02:01-B*44:02-DRB1*13:01-DQB1*03:02  Chile Mapuche 0.770066
 82  A*80:01-B*44:03-DRB1*13:02-DQB1*06:09  Chile Mapuche 0.770066
 83  A*34:02:01-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*105:01:01  South African Black 0.7040142
 84  A*02:01-B*44:02-C*05:01-DRB1*13:01  Germany DKMS - Spain minority 0.69101,107
 85  A*03-B*44-DRB1*13-DQB1*06  Mexico Coahuila, Saltillo 0.684972
 86  A*32-B*44-C*05-DRB1*13-DQB1*06  Albania pop 2 0.6800432
 87  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04  USA Asian pop 2 0.66701,772
 88  A*11-B*44-DRB1*13-DQB1*06  Mexico Baja California, La Paz 0.666775
 89  A*02-B*44-DRB1*13-DQB1*06  Mexico Nuevo Leon, Monterrey city 0.6637226
 90  A*02-B*44-DRB1*13-DQB1*03:01  Mexico Michoacan, Morelia 0.6623150
 91  A*02-B*44-DRB1*13  Brazil Para State 0.66145,000
 92  A*01-B*44-C*02-DRB1*13  Macedonia MBMDR - Macedonian Muslims 0.657976
 93  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01  Nicaragua Mestizo (G) 0.6452155
 94  A*02-B*44-DRB1*13-DQB1*06  Mexico Guanajuato, Leon 0.641078
 95  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 96  A*02-B*44-DRB1*13-DQB1*06  Mexico Coahuila, Torreon 0.6250396
 97  A*02-B*44-DRB1*13-DQB1*06  Mexico Mexico City East 0.625079
 98  A*02-B*44-DRB1*13-DQB1*06  Mexico Hidalgo Rural 0.617381
 99  A*29-B*44-DRB1*13-DQB1*06  Mexico Hidalgo Rural 0.617381
 100  A*29-B*44-DRB1*13-DQB1*06  Mexico Durango Rural 0.6116326

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 1,710) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 18  


   

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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