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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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 102) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01-B*48:01-C*08:01-DRB1*12:01-DQB1*03:01  India North UCBB 0.00855,849
 2  A*01:01-B*48:01-C*08:01-DRB1*12:02-DQB1*03:01  India South UCBB 0.004411,446
 3  A*01:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01  India South UCBB 0.014611,446
 4  A*01:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.02012,492
 5  A*02:01:01:01-B*48:01:01-C*08:03:01-DRB1*12:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 6  A*02:01:01-B*48:01:01-C*08:01:01-DRB1*12:01:01-DQB1*03:01:01  China Zhejiang Han 0.05771,734
 7  A*02:01:01-B*48:01:01-C*08:01:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.002323,595
 8  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.007823,595
 9  A*02:01-B*48:01-C*08:01-DRB1*12:01-DQA1*05:06-DQB1*03:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 10  A*02:01-B*48:01-C*08:01-DRB1*12:01-DQB1*03:01  Germany DKMS - Turkey minority 0.05104,856
 11  A*02:01-B*48:01-C*08:01-DRB1*12:01-DQB1*03:01  USA Asian pop 2 0.08901,772
 12  A*02:01-B*48:01-C*08:03-DRB1*12:01-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 13  A*02:01-B*48:01-C*12:02-DRB1*12:01-DQB1*03:01  India Central UCBB 0.01194,204
 14  A*02:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01  India South UCBB 0.025611,446
 15  A*02:03-B*48:01-C*08:01-DRB1*12:02-DQB1*03:01  India South UCBB 0.013111,446
 16  A*02:03-B*48:03-C*08:01-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.04401,772
 17  A*02:03-B*48:04-C*08:01-DRB1*12:02-DQB1*03:01  India Northeast UCBB 0.1745296
 18  A*02:03-B*48:04-C*08:148-DRB1*12:69-DQB1*03:01  India East UCBB 0.02082,403
 19  A*02:03-B*48:04-C*08:148-DRB1*12:69-DQB1*03:01  India West UCBB 0.02575,829
 20  A*02:06:01-B*48:01:01-C*04:01:01-DRB1*12:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 21  A*02:06:01-B*48:01:01-C*08:22:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 22  A*02:06-B*48:01-C*08:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*02:02-DPB1*02:02  Japan pop 17 0.03003,078
 23  A*02:06-B*48:01-C*08:01-DRB1*12:02-DQB1*03:01  India Northeast UCBB 0.1689296
 24  A*02:06-B*48:01-C*08:03-DRB1*12:02-DQB1*03:01  India South UCBB 0.017511,446
 25  A*02:06-B*48:04-C*08:01-DRB1*12:02-DQB1*03:01  India South UCBB 0.004411,446
 26  A*02:11-B*48:01-C*08:01-DRB1*12:02-DQB1*03:01  India East UCBB 0.02082,403
 27  A*02:11-B*48:01-C*08:03-DRB1*12:02-DQB1*03:01  India South UCBB 0.123511,446
 28  A*02:11-B*48:01-C*08:03-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.02012,492
 29  A*02:11-B*48:04-C*03:03-DRB1*12:02-DQB1*03:01  India Central UCBB 0.01194,204
 30  A*02:11-B*48:04-C*07:02-DRB1*12:02-DQB1*03:01  India East UCBB 0.02082,403
 31  A*02:11-B*48:04-C*08:01-DRB1*12:02-DQB1*03:01  India South UCBB 0.004411,446
 32  A*03:01:01-B*48:01:01-C*08:03:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.003323,595
 33  A*03:01-B*48:01-C*08:01-DRB1*12:02-DQB1*03:01  India West UCBB 0.00865,829
 34  A*03:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01  India South UCBB 0.036611,446
 35  A*03:02:01-B*48:01:01-C*08:03:01-DRB1*12:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 36  A*03-B*48-DRB1*12-DQB1*03:01  Mexico Oaxaca Rural 0.1027485
 37  A*11:01-B*48:01-C*08:01-DRB1*12:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 38  A*11:01-B*48:01-C*08:01-DRB1*12:02-DQB1*03:01  India South UCBB 0.004411,446
 39  A*11:01-B*48:01-C*08:03-DRB1*12:02-DQB1*03:01  India West UCBB 0.01675,829
 40  A*11:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01  India South UCBB 0.043311,446
 41  A*11:01-B*48:04-C*08:01-DRB1*12:02-DQB1*03:01  India Northeast UCBB 1.7722296
 42  A*11:01-B*48:04-C*08:148-DRB1*12:69-DQB1*03:01  India East UCBB 0.02082,403
 43  A*11:01-B*48:04-C*08:148-DRB1*12:69-DQB1*03:01  India Central UCBB 0.01194,204
 44  A*24:02:01-B*48:01:01-C*08:01:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.002023,595
 45  A*24:02:01-B*48:01:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 46  A*24:02:01-B*48:01:01-C*08:03:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.005823,595
 47  A*24:02-B*48:01-C*01:02-DRB1*12:01-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 48  A*24:02-B*48:01-C*04:01-DRB1*12:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 49  A*24:02-B*48:01-C*08:01-DRB1*12:01-DQB1*03:01  Germany DKMS - Turkey minority 0.10104,856
 50  A*24:02-B*48:01-C*08:01-DRB1*12:01-DQB1*03:01  India West UCBB 0.00865,829
 51  A*24:02-B*48:01-C*08:01-DRB1*12:01-DQB1*03:01  India Central UCBB 0.03574,204
 52  A*24:02-B*48:01-C*08:01-DRB1*12:01-DQB1*03:01  India North UCBB 0.00855,849
 53  A*24:02-B*48:01-C*08:01-DRB1*12:02-DQB1*03:01  India North UCBB 0.00855,849
 54  A*24:02-B*48:01-C*08:01-DRB1*12:02-DQB1*03:01  India Central UCBB 0.04764,204
 55  A*24:02-B*48:01-C*08:01-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.02012,492
 56  A*24:02-B*48:01-C*08:01-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.04401,772
 57  A*24:02-B*48:01-C*08:03-DRB1*12:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 58  A*24:02-B*48:01-C*08:03-DRB1*12:01-DQB1*03:01  India North UCBB 0.00855,849
 59  A*24:02-B*48:01-C*08:03-DRB1*12:01-DQB1*03:01  USA NMDP Alaska Native or Aleut 0.53401,376
 60  A*24:02-B*48:01-C*08:03-DRB1*12:02-DQB1*03:01  India North UCBB 0.00855,849
 61  A*24:02-B*48:01-C*12:02-DRB1*12:01-DQB1*03:01  India West UCBB 0.01725,829
 62  A*24:02-B*48:01-C*12:02-DRB1*12:01-DQB1*03:01  India East UCBB 0.04162,403
 63  A*24:02-B*48:01-C*12:02-DRB1*12:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 64  A*24:02-B*48:03-C*08:01-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.08901,772
 65  A*24:02-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01  India South UCBB 0.069611,446
 66  A*24:02-B*48:04-C*08:01-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.02012,492
 67  A*24:17-B*48:04-C*08:01-DRB1*12:02-DQB1*03:01  India West UCBB 0.00865,829
 68  A*24:17-B*48:04-C*08:148-DRB1*12:69-DQB1*03:01  India South UCBB 0.004411,446
 69  A*24-B*48-DRB1*12-DQA1*05-DQB1*03:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 1.7900112
 70  A*24-B*48-DRB1*12-DQB1*03:01  Mexico Coahuila, Saltillo 0.684972
 71  A*26:01-B*48:01-C*08:01-DRB1*12:01-DQB1*03:01  India South UCBB 0.004411,446
 72  A*26:01-B*48:01-C*08:03-DRB1*12:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 73  A*26:01-B*48:01-C*08:03-DRB1*12:01-DQB1*03:01-DPB1*04:02  Russia Karelia 0.05651,075
 74  A*26:03-B*48:01-C*08:01-DRB1*12:01-DQB1*03:01  USA Asian pop 2 0.01101,772
 75  A*26-B*48-DRB1*12-DQB1*03:01  Mexico Tlaxcala Rural 0.0602830
 76  A*31:01:02-B*48:01:01-C*08:01:01-DRB1*12:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 77  A*31:01:02-B*48:01:01-C*08:01:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.006423,595
 78  A*31:01-B*48:01-C*08:01-DRB1*12:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01304,856
 79  A*31:01-B*48:01-C*08:01-DRB1*12:01-DQB1*03:01  USA Asian pop 2 0.01101,772
 80  A*31:01-B*48:01-C*08:03-DRB1*12:01-DQB1*03:01-DPB1*03:01  Russia Karelia 0.05631,075
 81  A*31:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01  India South UCBB 0.008711,446
 82  A*32:01:01-B*48:04:01-C*01:02:01-DRB1*12:02:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 1.3441186
 83  A*32:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.04012,492
 84  A*32:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01  India West UCBB 0.05955,829
 85  A*32:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01  India South UCBB 0.731111,446
 86  A*32:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01  India East UCBB 0.04162,403
 87  A*32:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01  India North UCBB 0.00855,849
 88  A*32:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Indian 0.3690271
 89  A*32:01-B*48:04-C*01:02-DRB1*12:71-DQB1*03:01  India South UCBB 0.004411,446
 90  A*32:01-B*48:04-C*08:01-DRB1*12:02-DQB1*03:01  India South UCBB 0.004411,446
 91  A*32:11Q-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01  India South UCBB 0.004411,446
 92  A*32-B*48-DRB1*12-DQA1*05-DQB1*03:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.8900112
 93  A*33:03-B*48:01-C*08:01-DRB1*12:01-DQB1*03:01  India Central UCBB 0.02384,204
 94  A*33:03-B*48:01-C*08:01-DRB1*12:02-DQB1*03:01  India South UCBB 0.008711,446
 95  A*33:03-B*48:01-C*08:03-DRB1*12:02-DQB1*03:01  India South UCBB 0.012111,446
 96  A*33:03-B*48:04-C*08:01-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.08901,772
 97  A*68:01:01:02-B*48:01:01-C*08:03:01-DRB1*12:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 98  A*68:01:01-B*48:01:01-C*08:01:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 99  A*68:01-B*48:01-C*08:03-DRB1*12:02-DQB1*03:01  India South UCBB 0.004211,446
 100  A*68:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01  India West UCBB 0.00915,829

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 102) 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.

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