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 94 (from 94) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*68-B*15-C*12-DRB1*15  Myanmar Chin 9.091055
 2  A*11-B*15-C*12-DRB1*15  Myanmar Kachin 8.730063
 3  A*11:01-B*15:32-C*12:03-DRB1*15:04  China Yunnan Hani 2.7000150
 4  A*11-B*15-C*12-DRB1*15  Myanmar Kayah 2.176055
 5  A*11:01:01-B*15:32:01-C*12:03:01-DRB1*15:04  China Jingpo Minority 2.0830105
 6  B*15:32:01-C*12:03:01-DRB1*15:04  China Jingpo Minority 2.0830105
 7  A*11-B*15-C*12-DRB1*15  Myanmar Chin 1.818055
 8  A*11:01:01-B*15:01:01-C*12:03:01-DRB1*15:04  China Jingpo Minority 1.5620105
 9  B*15:01:01-C*12:03:01-DRB1*15:04  China Jingpo Minority 1.5620105
 10  A*11-B*15-C*12-DRB1*15  Myanmar Kayin 1.136044
 11  A*11-B*15-C*12-DRB1*15-DQB1*05-DPB1*21  Myanmar Kayin 1.136044
 12  A*24-B*15-C*12-DRB1*15  Myanmar Kayin 1.136044
 13  A*33-B*15-C*12-DRB1*15  Myanmar Kayah 0.909055
 14  A*11:01-B*15:32-C*12:03-DRB1*15:02-DQB1*06:01  India Northeast UCBB 0.5822296
 15  A*24-B*15-C*12-DRB1*15  Myanmar Kayah 0.552055
 16  B*15:32:01-C*12:03:01-DRB1*15:02:01  China Jingpo Minority 0.5210105
 17  A*24:02-B*15:32-C*12:03-DRB1*15:01-DQB1*05:02  India Northeast UCBB 0.3378296
 18  A*31:01:02-B*15:03:01-C*12:02:02-DRB1*15:02:01-DQB1*06:02:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 19  A*11:01-B*15:32-C*12:03-DRB1*15:02-DQB1*05:01  India Northeast UCBB 0.1689296
 20  A*33:03-B*15:25-C*12:03-DRB1*15:01-DQB1*06:01  India Northeast UCBB 0.1689296
 21  A*68:01-B*15:32-C*12:03-DRB1*15:01-DQB1*05:02  India Northeast UCBB 0.1689296
 22  A*26:01-B*15:01-C*12:03-DRB1*15:01-DQB1*03:03  Italy pop 5 0.1400975
 23  A*68:01:02-B*15:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 24  A*68:152-B*15:32-C*12:03-DRB1*15:02-DQB1*06:01  India East UCBB 0.10402,403
 25  A*24:02-B*15:32-C*12:03-DRB1*15:02-DQB1*06:01  India Northeast UCBB 0.0935296
 26  A*11:01-B*15:32-C*12:03-DRB1*15:04  Germany DKMS - China minority 0.07801,282
 27  A*03:01-B*15:05-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 28  A*33:03-B*15:05-C*12:03-DRB1*15:02-DQA1*01:03-DQB1*02:02-DPB1*05:01  Sri Lanka Colombo 0.0700714
 29  A*02:01-B*15:02-C*12:02-DRB1*15:31-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 30  A*11:01-B*15:02-C*12:03-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 31  A*11:01-B*15:32-C*12:03-DRB1*15:01-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 32  A*25:01-B*15:01-C*12:03-DRB1*15:01  Germany DKMS - Romania minority 0.04101,234
 33  A*02:01-B*15:01-C*12:03-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.02904,856
 34  A*02:01-B*15:03-C*12:03-DRB1*15:01  Germany DKMS - Austria minority 0.02901,698
 35  A*02:07:01-B*15:32:01-C*12:03:01-DRB1*15:04-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 36  A*68:01-B*15:01-C*12:03-DRB1*15:01  Germany DKMS - Greece minority 0.02601,894
 37  A*11:01-B*15:32-C*12:03-DRB1*15:02-DQB1*06:01  India Central UCBB 0.02384,204
 38  A*33:03-B*15:32-C*12:03-DRB1*15:02-DQB1*05:01  India East UCBB 0.02092,403
 39  A*01:01-B*15:32-C*12:03-DRB1*15:02-DQB1*06:01  India East UCBB 0.02082,403
 40  A*02:03-B*15:01-C*12:03-DRB1*15:01-DQB1*06:01  India East UCBB 0.02082,403
 41  A*02:09-B*15:32-C*12:03-DRB1*15:02-DQB1*06:02  India East UCBB 0.02082,403
 42  A*02:11-B*15:32-C*12:03-DRB1*15:02-DQB1*06:01  India East UCBB 0.02082,403
 43  A*11:01-B*15:01-C*12:03-DRB1*15:04-DQB1*05:02  India East UCBB 0.02082,403
 44  A*11:01-B*15:32-C*12:03-DRB1*15:02-DQB1*05:03  India East UCBB 0.02082,403
 45  A*24:02-B*15:01-C*12:03-DRB1*15:01-DQB1*06:01  India East UCBB 0.02082,403
 46  A*33:03-B*15:25-C*12:03-DRB1*15:04-DQB1*05:02  India East UCBB 0.02082,403
 47  A*33:03-B*15:32-C*12:03-DRB1*15:01-DQB1*05:02  India East UCBB 0.02082,403
 48  A*31:01-B*15:32-C*12:03-DRB1*15:02-DQB1*05:01  India East UCBB 0.02072,403
 49  A*11:01-B*15:32-C*12:03-DRB1*15:01-DQB1*05:02  India Tamil Nadu 0.02012,492
 50  A*33:03-B*15:01-C*12:03-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.02012,492
 51  A*24:02-B*15:01-C*12:03-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.01282,492
 52  A*11:01-B*15:01-C*12:03-DRB1*15:02-DQB1*06:01  India Central UCBB 0.01224,204
 53  A*01:01-B*15:01-C*12:03-DRB1*15:02-DQB1*06:01  India Central UCBB 0.01194,204
 54  A*02:01-B*15:01-C*12:03-DRB1*15:06-DQB1*05:02  India Central UCBB 0.01194,204
 55  A*02:03-B*15:01-C*12:03-DRB1*15:149-DQB1*05:02  India Central UCBB 0.01194,204
 56  A*02:11-B*15:01-C*12:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.01194,204
 57  A*68:01-B*15:02-C*12:03-DRB1*15:01-DQB1*06:01  India Central UCBB 0.01194,204
 58  A*68:01-B*15:18-C*12:03-DRB1*15:04-DQB1*05:02  India Central UCBB 0.01194,204
 59  A*02:05-B*15:03-C*12:03-DRB1*15:01-DQB1*06:02  USA African American pop 4 0.01102,411
 60  A*03:01-B*15:03-C*12:03-DRB1*15:01-DQB1*06:02  USA African American pop 4 0.01102,411
 61  A*33:03-B*15:02-C*12:03-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.01002,492
 62  A*01:01-B*15:01-C*12:03-DRB1*15:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01004,856
 63  A*03:01-B*15:01-C*12:03-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01004,856
 64  A*11:01:01-B*15:32:01-C*12:03:01-DRB1*15:04-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 65  A*68:152-B*15:32-C*12:03-DRB1*15:02-DQB1*06:01  India South UCBB 0.008711,446
 66  A*11:01-B*15:01-C*12:03-DRB1*15:02-DQB1*06:01  India West UCBB 0.00865,829
 67  A*11:01-B*15:32-C*12:03-DRB1*15:02-DQB1*06:01  India West UCBB 0.00865,829
 68  A*68:01-B*15:32-C*12:03-DRB1*15:04-DQB1*05:02  India West UCBB 0.00865,829
 69  A*68:01-B*15:32-C*12:04-DRB1*15:02-DQB1*05:03  India West UCBB 0.00865,829
 70  A*03:01-B*15:18-C*12:03-DRB1*15:02-DQB1*06:01  India North UCBB 0.00855,849
 71  A*11:01:01-B*15:32:01-C*12:03:01-DRB1*15:04-DPB1*21:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00855,266
 72  A*11:01-B*15:01-C*12:03-DRB1*15:01-DQB1*06:02  India North UCBB 0.00855,849
 73  A*68:152-B*15:32-C*12:03-DRB1*15:02-DQB1*06:01  India North UCBB 0.00855,849
 74  A*24:02-B*15:01-C*12:03-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00732,492
 75  A*24:02-B*15:02-C*12:02-DRB1*15:02  Hong Kong Chinese BMDR 0.00667,595
 76  A*11:02-B*15:01-C*12:02-DRB1*15:01  Hong Kong Chinese BMDR 0.00627,595
 77  A*11:01-B*15:01-C*12:02-DRB1*15:01  Hong Kong Chinese BMDR 0.00537,595
 78  A*02:07:01-B*15:01:01-C*12:02:02-DRB1*15:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00525,266
 79  A*24:02-B*15:27-C*12:03-DRB1*15:01  Hong Kong Chinese BMDR 0.00507,595
 80  A*02:01-B*15:01-C*12:03-DRB1*15:02-DQB1*05:02  India South UCBB 0.004411,446
 81  A*02:03-B*15:01-C*12:03-DRB1*15:01-DQB1*06:01  India South UCBB 0.004411,446
 82  A*02:03-B*15:32-C*12:03-DRB1*15:04-DQB1*05:02  India South UCBB 0.004411,446
 83  A*02:11-B*15:05-C*12:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.004411,446
 84  A*03:01-B*15:32-C*12:03-DRB1*15:01-DQB1*06:01  India South UCBB 0.004411,446
 85  A*11:01-B*15:32-C*12:03-DRB1*15:02-DQB1*06:01  India South UCBB 0.004411,446
 86  A*24:02-B*15:32-C*12:03-DRB1*15:01-DQB1*06:03  India South UCBB 0.004411,446
 87  A*68:01-B*15:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.004411,446
 88  A*68:01-B*15:32-C*12:03-DRB1*15:02-DQB1*05:01  India South UCBB 0.004411,446
 89  A*68:01-B*15:32-C*12:03-DRB1*15:02-DQB1*06:01  India South UCBB 0.004411,446
 90  A*11:01-B*15:32-C*12:03-DRB1*15:04  Poland DKMS 0.002520,653
 91  A*31:01-B*15:32-C*12:03-DRB1*15:04  Poland DKMS 0.002320,653
 92  A*24:02:01-B*15:32:01-C*12:03:01-DRB1*15:04-DQB1*05:03:01  Poland BMR 0.002123,595
 93  A*24:02-B*15:01-C*12:03-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.00002572,492
 94  A*24-B*15-C*12-DRB1*15  Myanmar Kachin 0.000000063

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).




   

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