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 188) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*26:01-B*40:02  Taiwan Taroko 5.100055
 2  A*26:01-B*40:02-DRB1*04:03  New Zealand Polynesians with Full Ancestry 2.381021
 3  A*26:01-B*40:02-DRB1*08:02  Sweden Northern Sami 2.1000154
 4  A*26:01-B*40:02-DRB1*04:03  New Zealand Polynesians with Admixed History 1.852027
 5  A*26:01-B*40:02  Taiwan Atayal 1.4000106
 6  A*26:01-B*40:02  Taiwan Rukai 1.100050
 7  A*26:01-B*40:02  Taiwan Puyuma 1.000050
 8  A*26:01-B*40:02-C*03:04-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Japanese 0.974724,582
 9  A*26:01-B*40:02-C*03:04-DRB1*08:01  Russia Bering Island Aleuts 0.9615104
 10  A*26:01-B*40:02-C*03:04-DRB1*14:01  Russia Bering Island Aleuts 0.9615104
 11  A*26:01-B*40:02-DRB1*13:01-DQB1*05:01  Iran Yazd 0.892956
 12  A*26:01-B*40:02-C*03:04-DRB1*09:01  Japan pop 16 0.746018,604
 13  A*26:01-B*40:02-DRB1*08:02-DQB1*04:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 14  A*26:01-B*40:02-C*08:02-DRB1*01:01  Russia Bering Island Aleuts 0.4808104
 15  A*26:01-B*40:02-C*03:04-DRB1*08:02  Japan pop 16 0.428018,604
 16  A*26:01-B*40:02-C*03:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.39003,078
 17  A*26:01:01-B*40:02:01-C*12:03:01-DRB1*11:01:01-DQA1*01:03:01-DQB1*03:01-DPA1*02:02:02-DPB1*06:01  Russia Belgorod region 0.3268153
 18  A*26:01-B*40:02-C*03:04-DRB1*08:01-DQA1*05:03-DQB1*04:02:01-DPA1*01:03:01-DPB1*03:01:01  Russia Belgorod region 0.3268153
 19  A*26:01-B*40:02  USA Asian pop 2 0.28801,772
 20  A*26:01-B*40:02-C*03:04-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Chinese 0.2577194
 21  A*26:01-B*40:02-C*03:04-DRB1*08:02-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.20003,078
 22  A*26:01-B*40:02-C*15:02-DRB1*15:01-DQB1*02:01  Malaysia Peninsular Indian 0.1845271
 23  A*26:01-B*40:02-C*03:04-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.17801,772
 24  A*26:01-B*40:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 25  A*26:01-B*40:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 26  A*26:01:01-B*40:02:01-C*15:02:01-DRB1*04:01:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 27  A*26:01-B*40:02-C*03:04-DRB1*01:01-DQB1*05:01-DPB1*04:02  Russia Karelia 0.11341,075
 28  A*26:01-B*40:02-C*01:02-DRB1*08:01-DQB1*04:02-DPB1*10:01  Russia Karelia 0.11291,075
 29  A*26:01-B*40:02-C*03:04-DRB1*14:54  Japan pop 16 0.104018,604
 30  A*26:01-B*40:02-C*03:04-DRB1*08:02-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 31  A*26:01-B*40:02-C*03:04-DRB1*04:05  Japan pop 16 0.094018,604
 32  A*26:01-B*40:02-C*03:04-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Korean 0.086277,584
 33  A*26:01-B*40:02-C*03:04-DRB1*15:01  Japan pop 16 0.073018,604
 34  A*26:01-B*40:02-C*03:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 35  A*26:01-B*40:02-C*03:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*02:01  Japan pop 17 0.07003,078
 36  A*26:01-B*40:02-C*03:04-DRB1*04:03  Japan pop 16 0.068018,604
 37  A*26:01-B*40:02-C*03:04-DRB1*04:10  Japan pop 16 0.068018,604
 38  A*26:01:01-B*40:02:01-C*03:04:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.06621,510
 39  A*26:01:01-B*40:02:01-C*03:04:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.05771,734
 40  A*26:01-B*40:02-C*03:04-DRB1*08:03-DQB1*03:01-DPB1*15:01  Russia Karelia 0.05651,075
 41  A*26:01-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02-DPB1*04:02  Russia Karelia 0.05651,075
 42  A*26:01-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02-DPB1*04:02  Russia Karelia 0.05651,075
 43  A*26:01-B*40:02-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*03:01  Russia Karelia 0.05641,075
 44  A*26:01-B*40:02-C*02:02-DRB1*16:01  Germany DKMS - Greece minority 0.05301,894
 45  A*26:01-B*40:02-C*15:02-DRB1*13:02  Germany DKMS - United Kingdom minority 0.04801,043
 46  A*26:01-B*40:02-C*02:02-DRB1*16:02  Germany DKMS - Spain minority 0.04501,107
 47  A*26:01-B*40:02-C*03:04-DRB1*08:02-DQB1*03:02  USA Asian pop 2 0.04401,772
 48  A*26:01-B*40:02-C*02:02-DRB1*04:02  Germany DKMS - Portugal minority 0.04301,176
 49  A*26:01-B*40:02-C*02:02-DRB1*11:04  Germany DKMS - Portugal minority 0.04301,176
 50  A*26:01-B*40:02-C*02:02-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.04301,159
 51  A*26:01-B*40:02-C*02:02-DRB1*11:01  Germany DKMS - Romania minority 0.04101,234
 52  A*26:01-B*40:02-C*02:02-DRB1*11:04  Germany DKMS - Romania minority 0.04101,234
 53  A*26:01-B*40:02-C*07:02-DRB1*04:05  Germany DKMS - China minority 0.03901,282
 54  A*26:01-B*40:02-C*08:01-DRB1*09:01  Germany DKMS - China minority 0.03901,282
 55  A*26:01-B*40:02-C*15:02-DRB1*16:02  Germany DKMS - China minority 0.03901,282
 56  A*26:01-B*40:02-C*03:03-DRB1*09:01  Japan pop 16 0.037018,604
 57  A*26:01-B*40:02-C*02:02-DRB1*13:01  Germany DKMS - France minority 0.03601,406
 58  A*26:01-B*40:02-C*03:04-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 59  A*26:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 60  A*26:01:01-B*40:02:01-C*03:04:01-DRB1*12:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 61  A*26:01:01-B*40:02:01-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 62  A*26:01-B*40:02-C*02:02-DRB1*11:04  Germany DKMS - Greece minority 0.03101,894
 63  A*26:01-B*40:02-C*03:04-DRB1*11:01  Japan pop 16 0.031018,604
 64  A*26:01-B*40:02-C*03:04-DRB1*12:01  Japan pop 16 0.031018,604
 65  A*26:01-B*40:02-C*03:04-DRB1*14:05  Japan pop 16 0.031018,604
 66  A*26:01-B*40:02-DRB1*12:02  Hong Kong Chinese cord blood registry 0.03033,892
 67  A*26:01-B*40:02-C*03:03-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 68  A*26:01-B*40:02-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 69  A*26:01-B*40:02-C*03:03-DRB1*14:05-DQA1*01:04-DQB1*05:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 70  A*26:01-B*40:02-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 71  A*26:01-B*40:02-C*03:04-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 72  A*26:01-B*40:02-C*03:04-DRB1*04:01-DQA1*03:03-DQB1*03:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 73  A*26:01-B*40:02-C*03:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 74  A*26:01-B*40:02-C*03:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 75  A*26:01-B*40:02-C*03:04-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 76  A*26:01-B*40:02-C*03:04-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 77  A*26:01-B*40:02-C*03:04-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 78  A*26:01-B*40:02-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 79  A*26:01-B*40:02-C*03:04-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 80  A*26:01-B*40:02-C*03:04-DRB1*08:02-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 81  A*26:01-B*40:02-C*03:04-DRB1*08:02-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*02:02  Japan pop 17 0.03003,078
 82  A*26:01-B*40:02-C*03:04-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 83  A*26:01-B*40:02-C*03:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 84  A*26:01-B*40:02-C*03:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 85  A*26:01-B*40:02-C*03:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*14:01  Japan pop 17 0.03003,078
 86  A*26:01-B*40:02-C*03:04-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 87  A*26:01-B*40:02-C*03:04-DRB1*14:05-DQA1*01:04-DQB1*05:03-DPA1*02:01-DPB1*14:01  Japan pop 17 0.03003,078
 88  A*26:01-B*40:02-C*03:04-DRB1*14:05-DQA1*01:04-DQB1*05:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 89  A*26:01-B*40:02-C*03:04-DRB1*14:54-DQA1*01:04-DQB1*05:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 90  A*26:01-B*40:02-C*03:04-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 91  A*26:01-B*40:02-C*03:04-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 92  A*26:01-B*40:02-C*01:02-DRB1*12:01  Germany DKMS - Austria minority 0.02901,698
 93  A*26:01-B*40:02-C*02:02-DRB1*11:01  Germany DKMS - Austria minority 0.02901,698
 94  A*26:01-B*40:02-C*03:04-DRB1*04:03  Germany DKMS - Austria minority 0.02901,698
 95  A*26:01:01-B*40:02:01-C*01:02:01-DRB1*04:03:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 96  A*26:01:01-B*40:02:01-C*01:02:01-DRB1*14:54:01-DQB1*05:03:01  China Zhejiang Han 0.02881,734
 97  A*26:01:01-B*40:02:01-C*03:03:01-DRB1*04:06:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 98  A*26:01:01-B*40:02:01-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 99  A*26:01:01-B*40:02:01-C*03:04:01-DRB1*14:05:01-DQB1*05:03:01  China Zhejiang Han 0.02881,734
 100  A*26:01:01-B*40:02:01-C*12:02:02-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734

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 188) records   Pages: 1 2 of 2  


   

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