Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 752) records   Pages: 1 2 3 4 5 6 7 8 of 8  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*15:01-C*04:01  Japan Central 3.5000371
 2  A*11:01-B*15:01-C*04:01  Japan pop 5 2.7000117
 3  B*15:01:01-C*04:01  Taiwan Hakka 2.700055
 4  B*15:01-C*04:01-DRB1*04:06  South Korea pop 3 2.5000485
 5  A*11:01-B*15:01-C*04:01  South Korea pop 3 2.3000485
 6  A*11:01-B*15:01-C*04:01-DRB1*04:06-DRB4*01:01-DQB1*03:02  USA NMDP Korean 1.641877,584
 7  A*11:01-B*15:01-C*04:01-DRB1*04:06  Japan pop 16 1.345018,604
 8  A*11:01-B*15:01-C*04:01  China Canton Han 1.3000264
 9  B*15:01-C*04:01-DRB1*04:03  South Korea pop 3 1.3000485
 10  B*15:01-C*04:01  USA Asian pop 2 1.23901,772
 11  A*11:01-B*15:01-C*04:01-DRB1*04:06  Taiwan pop 2 1.2000364
 12  A*11:01-B*15:01-C*04:01-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 1.20003,078
 13  A*11:01-B*15:01-C*04:01-DRB1*04:06-DQB1*03:02  South Korea pop 3 1.2000485
 14  A*24:02-B*15:01-C*04:01  South Korea pop 3 1.1000485
 15  B*15:01-C*04:01  USA Asian 1.1000358
 16  A*11:01-B*15:01-C*04:01-DRB1*04:06-DRB4*01:01-DQB1*03:02  USA NMDP Japanese 1.049924,582
 17  A*11:01-B*15:01-C*04:01-DRB1*04:06  Germany DKMS - China minority 0.96101,282
 18  A*11:01:01-B*15:01:01-C*04:01:01-DRB1*04:06:01-DQB1*03:02:01  China Zhejiang Han 0.82741,734
 19  A*31:01-B*15:01-C*04:01-DRB1*09:01-DQA1*03:03-DQB1*05:01  Mexico Tixcacaltuyub Maya 0.746367
 20  A*02:01:01-B*15:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 21  A*31:01:02-B*15:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 22  A*11:01-B*15:01-C*04:01-DRB1*04:06-DRB4*01:01-DQB1*03:02  USA NMDP Chinese 0.617399,672
 23  A*02:01:01-B*15:01:01-C*04:01:01-DRB1*15:03:01-DQB1*04:02:01-DPA1*03:01:01-DPB1*03:01:01  Brazil Rio de Janeiro Parda 0.5882170
 24  A*74:02:01-B*15:01:01-C*04:01:01-DRB1*09:01:02-DQB1*03:02:01  Vietnam Kinh 0.4950101
 25  A*02:01-B*15:01-C*04:01-DRB1*08:01  Russia Bering Island Aleuts 0.4808104
 26  A*02:01-B*15:01-C*04:01-DRB1*08:01-DQB1*04:02-DPB1*03:01  Russia Karelia 0.47831,075
 27  A*01:01:01-B*15:01:01-C*04:01:01-DRB1*01:02:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 28  A*02:01:01-B*15:01:01-C*04:01:01-DRB1*01:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 0.4525221
 29  A*03:01-B*15:01-C*04:01-E*01:03:02-F*01:01:01-G*01:04-DRB1*11:03-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 30  A*26:01-B*15:01-C*04:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:01  Nicaragua Managua 0.4329339
 31  A*01:01:01-B*15:01:01-C*04:01:01-DRB1*08:01:01-DQA1*01:02:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*14:01:01  Russian Federation Vologda Region 0.4202119
 32  B*15:01-C*04:01  Italy pop 5 0.4200975
 33  A*32:01:01-B*15:01:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 34  A*02:01-B*15:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01  Kosovo 0.4030124
 35  A*11:01-B*15:01-C*04:01-DRB1*15:06-DQB1*05:02  India Central UCBB 0.39724,204
 36  A*11:01-B*15:01-C*04:01-DRB1*04:06  Hong Kong Chinese BMDR 0.39437,595
 37  A*01:03:01-B*15:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:02:01-DPB1*11:01:01  South African Black 0.3520142
 38  A*23:17-B*15:01:01-C*04:01:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*01:01:01  South African Black 0.3520142
 39  A*11:01-B*15:01-C*04:01-DRB1*04:06-DQB1*03:02  USA Asian pop 2 0.34801,772
 40  A*25:01-B*15:01-C*04:01-DRB1*04:11  Brazil Vale do Ribeira Quilombos 0.3472144
 41  A*26:01:01-B*15:01:01-C*04:01:01-DRB1*04:02:01-DQA1*03:01:01-DQB1*03:02-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.3268153
 42  B*15:01-C*04:01  USA Hispanic pop 2 0.30501,999
 43  A*24:02-B*15:01-C*04:01-DRB1*04:06  Japan pop 16 0.292018,604
 44  A*11:01-B*15:01-C*04:01-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.29003,078
 45  A*26:01:01-B*15:01:01-C*04:01:01-DRB1*15:06:01-DQB1*05:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 46  A*02:01:01:01-B*15:01:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Russia Bashkortostan, Tatars 0.2604192
 47  A*02:01:01:01-B*15:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 48  A*02:07-B*15:01-C*04:01-DRB1*04:06-DQA1*03:01-DQB1*03:03-DPB1*05:01  USA San Diego 0.2600496
 49  A*23:01-B*15:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  USA San Diego 0.2600496
 50  A*24:02-B*15:01-C*04:01-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.26003,078
 51  A*02:07-B*15:01-C*04:01-DRB1*04:06-DQB1*03:02  Malaysia Peninsular Chinese 0.2577194
 52  A*11:01-B*15:01-C*04:01-DRB1*04:06-DQB1*05:03  Malaysia Peninsular Chinese 0.2577194
 53  A*02:01-B*15:01-C*04:01-DRB1*08:01-DQB1*04:02-DPB1*04:02  Russia Karelia 0.25031,075
 54  A*02:01:01-B*15:01:01-C*04:01:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 55  A*02:01:01-B*15:01:01-C*04:01:01-DRB1*16:02:01-DQB1*05:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 56  A*11:01-B*15:01-C*04:01-DRB1*15:06-DQB1*05:02  India North UCBB 0.22275,849
 57  A*02:01-B*15:01-C*04:01-DRB1*04:06-DQB1*03:02  USA Asian pop 2 0.22201,772
 58  A*26:01-B*15:01-C*04:01-DRB1*03:01-DQA1*05:01-DQB1*03:01-DPB1*04:01  Nicaragua Managua 0.2165339
 59  A*02:01-B*15:01-C*04:01-DRB1*01:01  Germany DKMS - Austria minority 0.21601,698
 60  A*03:01-B*15:01-C*04:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*02:01  Sri Lanka Colombo 0.2101714
 61  A*24:02-B*15:01-C*04:01-DRB1*04:06  Germany DKMS - China minority 0.20801,282
 62  A*11:01-B*15:01-C*04:01-DRB1*04:03  Hong Kong Chinese BMDR 0.20737,595
 63  A*03:01-B*15:01-C*04:01-DRB1*01:03-DQB1*05:01:01  England North West 0.2000298
 64  A*23:01-B*15:01-C*04:01-DRB1*08:01-DQB1*04:02  England North West 0.2000298
 65  A*11:01:01-B*15:01:01-C*04:01:01-DRB1*04:06:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.19975,266
 66  A*11:01:01-B*15:01:01-C*04:01:01-DRB1*04:06:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.19255,266
 67  A*68:03-B*15:01-C*04:01-DRB1*04:07-DQB1*03:02-DPB1*14:01  Panama 0.1900462
 68  A*24:02-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 69  A*33:03-B*15:01-C*04:01-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 70  A*02:01:01:01-B*15:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.17021,510
 71  A*02:03-B*15:01-C*04:01-DRB1*04:06-DQB1*03:02  India Northeast UCBB 0.1689296
 72  A*02:06-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India Northeast UCBB 0.1689296
 73  A*26:01-B*15:01-C*04:01-DRB1*04:06-DQB1*03:02  India Northeast UCBB 0.1689296
 74  A*33:03-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India Northeast UCBB 0.1689296
 75  A*33:03-B*15:01-C*04:01-DRB1*13:02-DQB1*03:02  India Northeast UCBB 0.1689296
 76  A*33:03-B*15:01-C*04:01-DRB1*15:06-DQB1*05:02  India Northeast UCBB 0.1689296
 77  A*68:152-B*15:01-C*04:01-DRB1*14:04-DQB1*05:03  India Northeast UCBB 0.1689296
 78  A*26:01-B*15:01-C*04:01-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.16003,078
 79  A*02:01-B*15:01-C*04:01-DRB1*11:01  Germany DKMS - China minority 0.15601,282
 80  A*02:01:01-B*15:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.153423,595
 81  A*02:01:01-B*15:01:01-C*04:01:01  England Blood Donors of Mixed Ethnicity 0.1440519
 82  A*02:01-B*15:01-C*04:01-DRB1*01:01  Germany DKMS - Bosnia and Herzegovina minority 0.14301,028
 83  A*02:01-B*15:01-C*04:01-DRB1*08:01  Germany DKMS - France minority 0.14201,406
 84  A*11:01-B*15:01-C*04:01-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*15:01  Sri Lanka Colombo 0.1401714
 85  A*02:01-B*15:01-C*04:01-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 86  A*68:01:02-B*15:01:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 87  A*68:01:02-B*15:01:01-C*04:01:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 88  A*02:01-B*15:01-C*04:01-DRB1*01:01  Germany DKMS - Croatia minority 0.13902,057
 89  A*11:01:01:01-B*15:01:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.13031,510
 90  A*26:01-B*15:01-C*04:01-DRB1*04:06  Japan pop 16 0.130018,604
 91  A*02:01-B*15:01-C*04:01-DRB1*07:01  Poland DKMS 0.129720,653
 92  A*02:01-B*15:01-C*04:01-DRB1*07:01  Germany DKMS - Portugal minority 0.12801,176
 93  A*11:01-B*15:01-C*04:01-DRB1*04:06-DRB4*01:01-DQB1*03:02  USA NMDP Vietnamese 0.127343,540
 94  A*02:01-B*15:01-C*04:01-DRB1*11:04  Germany DKMS - Romania minority 0.12201,234
 95  A*11:01-B*15:01-C*04:01-DRB1*12:02  Hong Kong Chinese BMDR 0.12147,595
 96  A*11:01-B*15:01-C*04:01-DRB1*04:06-DRB4*01:01-DQB1*03:02  USA NMDP Filipino 0.120950,614
 97  A*11:01:01-B*15:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.11531,734
 98  A*11:01:01-B*15:01:01-C*04:01:01-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.11445,266
 99  A*11:01-B*15:01-C*04:01-DRB1*08:01-DQB1*04:02-DPB1*03:01  Russia Karelia 0.11271,075
 100  A*02:01-B*15:01-C*04:01-DRB1*04:04-DQB1*03:02-DPB1*04:01  Russia Karelia 0.11251,075

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 752) records   Pages: 1 2 3 4 5 6 7 8 of 8  


   

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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional