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 64 (from 64) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:10-B*15:02-DRB1*07:01  Malaysia Champa 1.724129
 2  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*07:01:01-DQB1*02:02:01  Vietnam Kinh 0.9900101
 3  A*11:01-B*15:02-C*08:01-DRB1*07:01-DQA1*06:01-DQB1*03:01  United Arab Emirates Abu Dhabi 0.960052
 4  A*33:03:01-B*15:02:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Karnataka Kannada Speaking 0.2870174
 5  A*24:02-B*15:02-C*08:01-DRB1*07:01-DQB1*03:03  Malaysia Peninsular Indian 0.1845271
 6  A*11:03-B*15:02-C*08:01-DRB1*07:01-DQB1*02:02  India Northeast UCBB 0.1689296
 7  A*34:02:01-B*15:02:01-C*08:01:01-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 8  A*33:01-B*15:02-C*08:01-DRB1*07:01-DQB1*02:01  Malaysia Peninsular Malay 0.0758951
 9  A*02:06-B*15:02-C*08:01-DRB1*07:01-DQB1*02:02  India East UCBB 0.07192,403
 10  A*03:01-B*15:02-C*07:26-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*13:01  Sri Lanka Colombo 0.0700714
 11  A*02:03-B*15:02-C*08:01-DRB1*07:01-DQB1*02:02  India East UCBB 0.06242,403
 12  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.05771,734
 13  A*02:01-B*15:02-C*07:02-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.0526951
 14  A*02:06-B*15:02-C*07:05-DRB1*07:01-DQB1*03:03  Malaysia Peninsular Malay 0.0526951
 15  A*24:07-B*15:02-C*08:01-DRB1*07:01-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 16  A*33:01-B*15:02-C*07:01-DRB1*07:01-DQB1*02:01  Malaysia Peninsular Malay 0.0526951
 17  A*33:03-B*15:02-C*07:04-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.0526951
 18  A*68:01-B*15:02-C*12:03-DRB1*07:01-DQB1*02:01  Malaysia Peninsular Malay 0.0526951
 19  A*74:01-B*15:02-C*08:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.0526951
 20  A*24:17-B*15:02-C*08:01-DRB1*07:01-DQB1*02:02  India East UCBB 0.04172,403
 21  A*11:01-B*15:02-DRB1*07:01  Hong Kong Chinese cord blood registry 0.04113,892
 22  A*11:01-B*15:02-C*03:03-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.04012,492
 23  A*11:01-B*15:02-C*08:01-DRB1*07:01  Germany DKMS - China minority 0.03901,282
 24  A*24:02-B*15:02-C*08:01-DRB1*07:01-DQB1*02:01  Malaysia Peninsular Malay 0.0378951
 25  A*11:01-B*15:02-C*08:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.03405,849
 26  A*02:10-B*15:02:01-C*08:01:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.02881,734
 27  A*02:06:01-B*15:02:01-C*08:01:01-DRB1*07:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02805,266
 28  A*01:01-B*15:02-C*08:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.02382,492
 29  A*11:01-B*15:02-C*08:01-DRB1*07:01-DQB1*03:03  India East UCBB 0.02242,403
 30  A*11:01-B*15:02-C*08:01-DRB1*07:01-DQB1*03:03  India South UCBB 0.021911,446
 31  A*02:06-B*15:02-C*08:01-DRB1*07:01  Hong Kong Chinese BMDR 0.02107,595
 32  A*11:01-B*15:02-C*08:01-DRB1*07:01-DQB1*02:02  India East UCBB 0.02092,403
 33  A*33:03-B*15:02-C*08:01-DRB1*07:01-DQB1*02:02  India East UCBB 0.02092,403
 34  A*33:03-B*15:02-C*08:01-DRB1*07:01-DQB1*03:03  India East UCBB 0.02092,403
 35  A*02:03-B*15:02-C*08:01-DRB1*07:01-DQB1*03:03  India East UCBB 0.02082,403
 36  A*02:06-B*15:02-C*08:01-DRB1*07:01-DQB1*03:03  India East UCBB 0.02082,403
 37  A*02:595-B*15:02-C*08:01-DRB1*07:01-DQB1*03:03  India East UCBB 0.02082,403
 38  A*11:01-B*15:02-C*08:01-DRB1*07:01-DQB1*03:02  India East UCBB 0.02082,403
 39  A*24:02-B*15:02-C*12:03-DRB1*07:01-DQB1*03:03  India East UCBB 0.02082,403
 40  A*68:24-B*15:02-C*08:01-DRB1*07:01-DQB1*03:03  India East UCBB 0.02082,403
 41  A*11:01-B*15:02-C*08:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.02062,492
 42  A*11:01-B*15:02-C*08:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.019911,446
 43  A*11:01-B*15:02-C*08:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.01785,829
 44  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*07:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01775,266
 45  A*02:06-B*15:02-C*08:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.01715,849
 46  A*24:02-B*15:02-C*08:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01624,204
 47  A*11:01-B*15:02-C*08:01-DRB1*07:01  Hong Kong Chinese BMDR 0.01597,595
 48  A*02:06-B*15:02-C*08:01-DRB1*07:01-DQB1*03:03  India South UCBB 0.013611,446
 49  A*02:03-B*15:02-C*08:01-DRB1*07:01-DQB1*03:03  India Central UCBB 0.01194,204
 50  A*11:01-B*15:02-C*08:01-DRB1*07:01-DQB1*03:03  India Central UCBB 0.01194,204
 51  A*02:06:01-B*15:02:01-C*08:01:01-DRB1*07:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00875,266
 52  A*01:01-B*15:02-C*06:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 53  A*01:01-B*15:02-C*06:02-DRB1*07:01-DQB1*03:03  India West UCBB 0.00865,829
 54  A*02:11-B*15:02-C*08:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 55  A*02:03-B*15:02-C*08:01-DRB1*07:01-DQB1*03:03  India North UCBB 0.00855,849
 56  A*03:01-B*15:02-C*08:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.006911,446
 57  A*02:06-B*15:02-C*08:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.005111,446
 58  A*33:03-B*15:02-C*08:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.004911,446
 59  A*02:03-B*15:02-C*08:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.004511,446
 60  A*24:02-B*15:02-C*08:01-DRB1*07:01-DQB1*03:01  India South UCBB 0.004411,446
 61  A*24:05-B*15:02-C*08:01-DRB1*07:01-DQB1*03:03  India South UCBB 0.004411,446
 62  A*01:17-B*15:02-DRB1*07:01  Israel Morocco Jews 0.004136,718
 63  A*01:36-B*15:02-DRB1*07:01  Israel Morocco Jews 0.004136,718
 64  A*74:03-B*15:02-C*04:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00402,492

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.

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