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 1,528) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 16  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*15:25-C*04:03  Taiwan Tao 40.000050
 2  A*11-B*15-C*04-DRB1*15  Myanmar Kayah 32.012055
 3  A*11-B*15-C*04-DRB1*15  Myanmar Kayin 12.417044
 4  B*15:25-C*04:03  Taiwan Thao 11.700030
 5  B*15:25-C*04:03  Taiwan Pazeh 10.900055
 6  A*24-B*15-C*04-DRB1*15-DQB1*05-DPB1*02  Myanmar Kayin 8.946044
 7  A*11-B*15-C*04-DRB1*15  Myanmar Shan 8.333054
 8  B*15:25-C*04:03  Taiwan Rukai 7.000050
 9  B*15:25-C*04:03  Taiwan Puyuma 7.000050
 10  A*11-B*15-C*04  Malaysia Perak Rawa 6.500023
 11  B*15:25-C*04:03  Taiwan Bunun 6.4000101
 12  A*02-B*15-C*04-DRB1*15  Myanmar Chin 5.455055
 13  A*24-B*15-C*04-DRB1*15  Myanmar Kayah 5.260055
 14  B*15:25-C*04:03  Taiwan Tsou 4.900051
 15  B*15:25-C*04:03  Taiwan Siraya 4.900051
 16  A*24-B*15-C*04-DRB1*15  Myanmar Kayin 4.704044
 17  A*11-B*15-C*04-DRB1*15-DQB1*05-DPB1*02  Myanmar Kayin 4.449044
 18  A*11-B*15-C*04-DRB1*15-DQB1*05-DPB1*04  Myanmar Kayin 3.650044
 19  A*11-B*15-C*04-DRB1*04-DQB1*03-DPB1*02  Myanmar Kayin 3.514044
 20  B*15:01-C*04:01  Japan Central 3.5000371
 21  A*24-B*15:25-C*04:03-DRB1*12:02:01-DQB1*03:01:01-DPB1*28:01  China Yunnan Province Lisu 3.3000111
 22  A*02-B*15-C*04-DRB1*15  Myanmar Kayin 3.240044
 23  A*34-B*15-C*04  Malaysia Perak and Johor Banjar Bugis Jawa 3.200094
 24  A*34-B*15-C*04-DRB1*15-DQB1*06  Malaysia Perak and Johor Banjar Bugis Jawa 3.200094
 25  A*24-B*15-C*04-DRB1*04  Myanmar Kayin 3.041044
 26  A*11-B*15-C*04  South Korea pop 1 2.9000324
 27  A*30-B*15-C*04-DRB1*11:01-DQB1*03:01  Rwanda 2.9000280
 28  B*15:25-C*04:03  Taiwan Atayal 2.8000106
 29  A*11-B*15-C*04-DRB1*04  Myanmar Kayin 2.734044
 30  A*02-B*15-C*04-DRB1*15  Myanmar Kayah 2.727055
 31  A*11:01-B*15:01-C*04:01  Japan pop 5 2.7000117
 32  B*15:01:01-C*04:01  Taiwan Hakka 2.700055
 33  A*11:01:01-B*15:25-C*04:03-DRB1*15:01:01-DQB1*05:02:01-DPB1*02:01:02  China Yunnan Province Nu 2.6000107
 34  A*11:01-B*15:25-C*04:03-DRB1*12:02  China Yunnan Bulang 2.6000116
 35  B*15:25-C*04:03  Taiwan Ami 2.600098
 36  A*02-B*15-C*04  France Corsica Island 2.5000100
 37  B*15:01-C*04:01-DRB1*04:06  South Korea pop 3 2.5000485
 38  A*11:01-B*15:01-C*04:01  South Korea pop 3 2.3000485
 39  A*11-B*15-C*04-DRB1*15-DQB1*05-DPB1*09  Myanmar Kayin 2.273044
 40  A*24-B*15-C*04-DRB1*12  Myanmar Kayin 2.273044
 41  A*02-B*15-C*04-DRB1*12-DQB1*03  Malaysia Perak and Johor Banjar Bugis Jawa 2.100094
 42  A*24:02-B*15:25-C*04:03-DRB1*12:02  China Yunnan Province Han 2.0000101
 43  B*15:27-C*04:01  Taiwan Siraya 2.000051
 44  B*15:03-C*04:01  Kenya Nandi 1.9000240
 45  A*34:01-B*15:21-C*04:03-DRB1*15:02-DRB5*01:01-DQB1*05:02  USA NMDP Filipino 1.749550,614
 46  A*24-B*15:25-C*04:03-DRB1*12:02:01-DQB1*03:01:01-DPB1*28:01  China Yunnan Province Nu 1.7000107
 47  A*24-B*15:25-C*04:03-DRB1*15:02:01-DQB1*05:01:01-DPB1*13:01  China Yunnan Province Nu 1.7000107
 48  A*11:01-B*15:01-C*04:01-DRB1*04:06-DRB4*01:01-DQB1*03:02  USA NMDP Korean 1.641877,584
 49  A*02-B*15-C*04-DRB1*04  Myanmar Kachin 1.587063
 50  A*11-B*15-C*04-DRB1*15  Myanmar Kachin 1.587063
 51  A*11-B*15-C*04-DRB1*15  Myanmar Mon 1.562064
 52  A*03-B*15-C*04-DRB1*13-DQB1*06  Sudan Khartoum 1.540098
 53  B*15:25-C*04:03  China Jingpo Minority 1.4710105
 54  A*34:01-B*15:21-C*04:03-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Malay 1.4418951
 55  A*11:01-B*15:01-C*04:01-DRB1*04:06  Japan pop 16 1.345018,604
 56  A*02-B*15-C*04  South Korea pop 1 1.3000324
 57  A*11:01-B*15:01-C*04:01  China Canton Han 1.3000264
 58  B*15:01-C*04:01-DRB1*04:03  South Korea pop 3 1.3000485
 59  B*15:21-C*04:03  USA Asian 1.3000358
 60  B*15:01-C*04:01  USA Asian pop 2 1.23901,772
 61  A*11:01-B*15:01-C*04:01-DRB1*04:06  Taiwan pop 2 1.2000364
 62  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
 63  A*11:01-B*15:01-C*04:01-DRB1*04:06-DQB1*03:02  South Korea pop 3 1.2000485
 64  A*02-B*15-C*04-DRB1*15-DQB1*03-DPB1*02  Myanmar Kayin 1.136044
 65  A*11-B*15-C*04-DRB1*12-DQB1*03-DPB1*02  Myanmar Kayin 1.136044
 66  A*24-B*15-C*04-DRB1*04-DQB1*04-DPB1*02  Myanmar Kayin 1.136044
 67  A*24-B*15-C*04-DRB1*12-DQB1*03-DPB1*05  Myanmar Kayin 1.136044
 68  A*24-B*15-C*04-DRB1*15-DQB1*05-DPB1*21  Myanmar Kayin 1.136044
 69  A*24:02-B*15:01-C*04:01  South Korea pop 3 1.1000485
 70  A*24:02-B*15:25-C*04:03-DRB1*12:02-DQB1*03:01  Vietnam Hanoi Kinh pop 2 1.1000170
 71  B*15:01-C*04:01  USA Asian 1.1000358
 72  B*15:03-C*04:01  Kenya Luo 1.1000265
 73  A*30:01-B*15:47-C*04:07-DRB1*15:03-DQB1*06:02  Colombia North Chimila Amerindians 1.063847
 74  A*11:01-B*15:01-C*04:01-DRB1*04:06-DRB4*01:01-DQB1*03:02  USA NMDP Japanese 1.049924,582
 75  A*11-B*15-C*04-DRB1*15  Myanmar Rakhine 1.042048
 76  A*24-B*15-C*04-DRB1*04-DQB1*03-DPB1*02  Myanmar Kayin 1.031044
 77  A*30:02:01-B*15:10:01-C*04:01:01  South African Mixed ancestry 1.000050
 78  B*15:21-C*04:03  Philippines Ivatan 1.000050
 79  A*02:03:01-B*15:25-C*04:03  China Jingpo Minority 0.9900105
 80  A*11:01-B*15:25-C*04:03-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Vietnamese 0.970543,540
 81  A*11:01-B*15:01-C*04:01-DRB1*04:06  Germany DKMS - China minority 0.96101,282
 82  A*29:02-B*15:03-C*04:01-DRB1*11:01-DQA1*05:05-DQB1*05:01  United Arab Emirates Abu Dhabi 0.960052
 83  A*24-B*15-C*04-DRB1*15  Myanmar Shan 0.926054
 84  A*33-B*15-C*04-DRB1*09  Myanmar Shan 0.926054
 85  A*34-B*15-C*04-DRB1*08  Myanmar Shan 0.926054
 86  A*11-B*15-C*04-DRB1*14  Myanmar Chin 0.909055
 87  A*24-B*15-C*04-DRB1*12  Myanmar Chin 0.909055
 88  A*24-B*15-C*04-DRB1*15  Myanmar Chin 0.909055
 89  A*33-B*15-C*04-DRB1*15  Myanmar Kayah 0.909055
 90  A*02-B*15-C*04  Brazil Parana Japanese 0.8700192
 91  A*02:01-B*15:25-C*04:03-DRB1*15:01-DQB1*05:02  India Northeast UCBB 0.8446296
 92  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
 93  A*02:01-B*15:02-C*04:01-DRB1*15:01-DQB1*05:01  Iran Gorgan 0.780064
 94  A*31:01-B*15:01-C*04:01-DRB1*09:01-DQA1*03:03-DQB1*05:01  Mexico Tixcacaltuyub Maya 0.746367
 95  A*29:11-B*15:10:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*105:01:01  South African Black 0.7040142
 96  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
 97  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
 98  A*11:01-B*15:01-C*04:01-DRB1*04:06-DRB4*01:01-DQB1*03:02  USA NMDP Chinese 0.617399,672
 99  A*43:01-B*15:10-C*04:01-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*04:02  South Africa Worcester 0.6000159
 100  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

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 1,528) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 16  


   

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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