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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Displaying 1 to 100 (from 614) records   Pages: 1 2 3 4 5 6 7 of 7  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:07-B*15:13-DRB1*09:01  Malaysia Pahang Semai 6.580038
 2  A*01-B*15:01-DRB1*09-DQB1*03:03  Mexico Campeche, Campeche city 2.941234
 3  A*02:01-B*15:13-DRB1*09:01  Malaysia Kedah Kensiu 2.380021
 4  A*24-B*15-DRB1*09:01:02-DQB1*03:03  Peru Lamas City Lama 1.800083
 5  B*15:18-DRB1*09:01:02  Taiwan Hakka 1.800055
 6  A*11:01-B*15:02-DRB1*09:01  Malaysia Kelantan 1.785728
 7  A*34:01-B*15:21-DRB1*09:01  Malaysia Champa 1.724129
 8  A*02-B*15-DRB1*09:01-DQB1*03:03  Bolivia La Paz Aymaras 1.689087
 9  A*31-B*15-DRB1*09  Brazil Parana Oriental 1.500033
 10  B*15:02-DRB1*09:01:02  Taiwan Minnan pop 1 1.5000102
 11  A*02-B*15-DRB1*09:01-DQB1*03:03  Bolivia Quechua 1.450069
 12  A*02:03-B*15:13-DRB1*09:01  Malaysia Pahang Semai 1.320038
 13  A*02:06-B*15:13-DRB1*09:01  Malaysia Pahang Semai 1.320038
 14  A*02:02-B*15:03-C*02:02-E*01:03:01-F*01:01:01-G*01:01-DRB1*09:01:02-DQA1*03:03-DQB1*02:02  Portugal Azores Terceira Island 1.3158130
 15  B*15:01-DRB1*09:01-DQB1*03:03  South Korea pop 3 1.3000485
 16  A*02-B*15-DRB1*09  China Jiangsu Province 1.200020,248
 17  A*02-B*15-DRB1*09:01-DQB1*02:01  Colombia San Basilio de Palenque 1.191042
 18  A*24-B*15:01-DRB1*09-DQB1*02  Mexico Veracruz, Poza Rica 1.111145
 19  B*15:25-DRB1*09:01:02  Taiwan Bunun 1.1000101
 20  A*11-B*15-DRB1*09  Philippines National Capital Region 1.000051
 21  A*33:01-B*15:01:01-DRB1*09:01:02  Portugal South 1.000049
 22  A*31:01:02-B*15:01-DRB1*09:01-DQB1*03:03  Peru Titikaka Lake Uros 0.9300105
 23  A*33-B*15-C*04-DRB1*09  Myanmar Shan 0.926054
 24  A*31:01-B*15:08-DRB1*09:01  Israel Bukhara Jews 0.82002,317
 25  A*02-B*15-DRB1*09  China Shaanxi Province Han 0.800010,000
 26  A*03-B*15-C*07-DRB1*09  Myanmar Mon 0.781064
 27  A*31:01-B*15:01-C*04:01-DRB1*09:01-DQA1*03:03-DQB1*05:01  Mexico Tixcacaltuyub Maya 0.746367
 28  A*24-B*15-DRB1*09:01-DQB1*03:02  Bolivia Quechua 0.720069
 29  A*02-B*15-C*03:03-DRB1*09:01-DQB1*03  Russia Transbaikal Territory Buryats 0.6670150
 30  A*02:01-B*15:11-C*03:03-DRB1*09:01  Germany DKMS - China minority 0.65701,282
 31  A*02-B*15:10-DRB1*09-DQB1*02  Mexico Hidalgo Rural 0.617381
 32  A*01-B*15:01-DRB1*09-DQB1*03:03  Mexico Sinaloa Rural 0.5464183
 33  A*11:01-B*15:21-C*04:03-DRB1*09:01-DQB1*03:03  USA NMDP Hawaiian or other Pacific Islander 0.521911,499
 34  A*11:01:01-B*15:02-C*08:01:01-DRB1*09:01:02  China Jingpo Minority 0.5210105
 35  A*11:01:01-B*15:02-DRB1*09:01:02  China Jingpo Minority 0.5210105
 36  B*15:02-C*08:01:01-DRB1*09:01:02  China Jingpo Minority 0.5210105
 37  B*15:02-DRB1*09:01:02  China Jingpo Minority 0.5210105
 38  A*24:02-B*15:01-DRB1*09:01-DQB1*03:03  Iran Tabriz Azeris 0.515597
 39  A*68-B*15-C*06-DRB1*09-DQB1*03  Sudan Khartoum 0.510098
 40  A*01-B*15:01-DRB1*09-DQB1*03:03  Mexico Sonora Rural 0.5076197
 41  A*01-B*15-DRB1*09  Brazil South Ribeirao Preto 0.5000184
 42  A*24:07:01-B*15:02:01-C*06:02:01-DRB1*09:01:02-DQB1*03:05:02  Vietnam Kinh 0.4950101
 43  A*24:07:01-B*15:02:01-C*08:01:01-DRB1*09:01:02-DQB1*05:01:12  Vietnam Kinh 0.4950101
 44  A*74:02:01-B*15:01:01-C*04:01:01-DRB1*09:01:02-DQB1*03:02:01  Vietnam Kinh 0.4950101
 45  A*02:01-B*15:01-DRB1*09:01-DQB1*03:03  Peru Titikaka Lake Uros 0.4900105
 46  A*68:01-B*15:01-C*07:02-DRB1*09:01  Russia Bering Island Aleuts 0.4808104
 47  A*68:01:02-B*15:04-DRB1*09:01-DQB1*03:03  Peru Titikaka Lake Uros 0.4800105
 48  A*36:01-B*15:03:01-C*17:01:01-DRB1*09:01:02  Costa Rica Guanacaste Mestizo (G) 0.4545110
 49  A*02:01-B*15:01-C*15:02-E*01:03:01-F*01:01:01-G*01:04-DRB1*09:01:02-DQA1*03:02-DQB1*03:03  Portugal Azores Terceira Island 0.4386130
 50  A*24:02-B*15:21-C*04:03-DRB1*09:01-DQB1*03:03  USA NMDP Hawaiian or other Pacific Islander 0.429611,499
 51  A*68:01:02:01-B*15:01:01:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Bashkirs 0.4167120
 52  A*01-B*15:03-DRB1*09-DQB1*03:03  Mexico Tabasco Rural 0.3521142
 53  A*29:02-B*15:03-C*02:10-DRB1*09:01  Brazil Vale do Ribeira Quilombos 0.3472144
 54  A*11:01-B*15:02-DRB1*09:01  Hong Kong Chinese cord blood registry 0.33843,892
 55  A*03:01-B*15:10-C*03:04-DRB1*09:01-DQA1*03:01-DQB1*02:02  Brazil Puyanawa 0.3333150
 56  A*02:01-B*15:08-DRB1*09:01  Israel Bukhara Jews 0.32402,317
 57  A*02-B*15-DRB1*09:01  USA NMDP Asian and Pacific Islander 0.3000359,423
 58  A*11-B*15-DRB1*09  China Shaanxi Province Han 0.300010,000
 59  A*23-B*15-DRB1*09  Brazil South Ribeirao Preto 0.3000184
 60  A*02:01-B*15:11-C*03:03-DRB1*09:01  Japan pop 16 0.292018,604
 61  A*02-B*15:02-DRB1*09-DQB1*03:03  Mexico Sinaloa Rural 0.2732183
 62  A*11-B*15:01-DRB1*09-DQB1*03:03  Mexico Sinaloa Rural 0.2732183
 63  A*02:01:01-B*15:11:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.27011,734
 64  A*02-B*15-DRB1*09:01  Chile Santiago 0.2614920
 65  A*01:01:01:01-B*15:01:01:01-C*07:01:01-DRB1*09:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 66  A*26:01-B*15:01-C*03:03-DRB1*09:01-DQA1*03:01-DQB1*04:02-DPB1*05:01  USA San Diego 0.2600496
 67  A*32:01-B*15:01-C*05:01-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*04:02  USA San Diego 0.2600496
 68  A*11:01:01-B*15:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.25951,734
 69  A*11:01-B*15:01-C*16:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 70  A*11:01-B*15:27-C*04:01-DRB1*09:01-DQB1*02:01  Malaysia Peninsular Chinese 0.2577194
 71  A*26:01-B*15:03-C*08:01-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 72  A*02-B*15:03-DRB1*09-DQB1*02  Mexico Coahuila, Torreon 0.2500396
 73  A*11:01-B*15:02-C*08:01-DRB1*09:01  Hong Kong Chinese BMDR 0.23337,595
 74  A*11:01-B*15:02-C*08:01-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.22701,772
 75  A*26:03-B*15:01-C*03:03-DRB1*09:01  Japan pop 16 0.224018,604
 76  A*02:01-B*15:01-C*01:02-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*14:01  Nicaragua Managua 0.2165339
 77  A*02:01-B*15:13-C*08:01-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Malay 0.2103951
 78  A*74-B*15:10-DRB1*09-DQB1*02  Mexico Oaxaca Rural 0.2053485
 79  A*03:01-B*15:01-C*16:01:01-DRB1*09:01:02-DQB1*02:01  England North West 0.2000298
 80  A*24-B*15-DRB1*09  China Shaanxi Province Han 0.200010,000
 81  A*24:02:01-B*15:01:01-C*05:01:01-DRB1*09:01:02-DQB1*04:02:01-DPA1*02:01:01-DPB1*06:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 82  A*29:02:01-B*15:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02-DPA1*01:03:01-DPB1*06:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 83  A*68:01:01-B*15:03:01-C*02:10:01-DRB1*09:01:02-DQB1*03:03:02-DPA1*02:01:08-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 84  A*02:01-B*15:03-C*07:02-DRB1*09:03-DQB1*02:02-DPB1*04:01  Panama 0.1900462
 85  A*02:01-B*15:11-C*03:03-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.18701,772
 86  A*02-B*15:15-DRB1*09-DQB1*02  Mexico Zacatecas Rural 0.1859266
 87  A*33-B*15:03-DRB1*09-DQB1*02  Mexico Zacatecas Rural 0.1859266
 88  A*02-B*15:01-DRB1*09-DQB1*03:03  Ecuador Andes Mixed Ancestry 0.1820824
 89  A*24-B*15:01-DRB1*09-DQB1*03:03  Ecuador Andes Mixed Ancestry 0.1820824
 90  A*02-B*15-DRB1*09  Brazil Para Cord Blood Unit 0.1803841
 91  A*11:01-B*15:01-DRB1*09:01  Hong Kong Chinese cord blood registry 0.17213,892
 92  A*33-B*15:10-DRB1*09-DQB1*02  Mexico Jalisco Rural 0.1706585
 93  A*34:01-B*15:21-C*04:03-DRB1*09:01-DQB1*03:03  USA NMDP Hawaiian or other Pacific Islander 0.170611,499
 94  A*02:01-B*15:01-C*01:02-DRB1*09:01  Germany DKMS - China minority 0.16901,282
 95  A*33:03-B*15:08-C*01:02-DRB1*09:01-DQB1*03:02  India Northeast UCBB 0.1689296
 96  A*02:01-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.16003,078
 97  A*02:01-B*15:11-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.16003,078
 98  A*11:01:01-B*15:11:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.15401,734
 99  A*66:01-B*15:03-DRB1*09:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 100  A*02:01-B*15:01-C*03:03-DRB1*09:01  Japan pop 16 0.146018,604

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 614) records   Pages: 1 2 3 4 5 6 7 of 7  


   

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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