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 83 (from 83) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*04:03:01  China Jingpo Minority 0.5210105
 2  B*40:01:02-C*03:04:01-DRB1*04:03:01  China Jingpo Minority 0.5210105
 3  A*24:02-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  India Northeast UCBB 0.3378296
 4  A*31:01:02-B*40:01:01-C*03:04:01-DRB1*04:03:01  Nicaragua Mestizo (G) 0.3226155
 5  A*11:01-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  India Northeast UCBB 0.1689296
 6  A*11:03-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  India Northeast UCBB 0.1689296
 7  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*04:03:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 8  A*01:01-B*40:01-C*03:04-DRB1*04:03  Germany DKMS - Greece minority 0.13201,894
 9  A*03:01-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 10  A*24:02-B*40:01-C*03:04-DRB1*04:03  Italy pop 5 0.1000975
 11  A*11:01-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.08901,772
 12  A*02:07-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.07601,772
 13  A*11:01-B*40:01-C*03:04-DRB1*04:03  Hong Kong Chinese BMDR 0.07347,595
 14  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*04:03:01-DQB1*03:02:01  China Zhejiang Han 0.06951,734
 15  A*26:01-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02-DPB1*04:02  Russia Karelia 0.05651,075
 16  A*33:03-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  India East UCBB 0.04922,403
 17  A*31:01-B*40:01-C*03:04-DRB1*04:03  Germany DKMS - United Kingdom minority 0.04801,043
 18  A*02:01-B*40:01-C*03:04-DRB1*04:03  Hong Kong Chinese BMDR 0.04147,595
 19  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*04:03:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.04005,266
 20  A*01:01-B*40:01-C*03:04-DRB1*04:03  Germany DKMS - Netherlands minority 0.03601,374
 21  A*03:01-B*40:01-C*03:04-DRB1*04:03  Germany DKMS - Netherlands minority 0.03601,374
 22  A*03:01-B*40:01-C*03:04-DRB1*04:03  Germany DKMS - Austria minority 0.03601,698
 23  A*68:01-B*40:01-C*03:04-DRB1*04:03  Germany DKMS - Netherlands minority 0.03601,374
 24  A*24:03-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 25  A*02:01-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 26  A*02:01-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  India South UCBB 0.032811,446
 27  A*24:02-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.03104,856
 28  A*02:06-B*40:01-C*03:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 29  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*04:03:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02825,266
 30  A*26:01-B*40:01-C*03:04-DRB1*04:03  Germany DKMS - Greece minority 0.02601,894
 31  A*24:02-B*40:01-C*03:04-DRB1*04:03  Hong Kong Chinese BMDR 0.02587,595
 32  A*24:02-B*40:01-C*03:04-DRB1*04:03  Germany DKMS - Croatia minority 0.02402,057
 33  A*03:01-B*40:01-C*03:04-DRB1*04:03-DQB1*03:05  India Central UCBB 0.02384,204
 34  A*24:02-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02182,492
 35  A*32:01-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  India South UCBB 0.021811,446
 36  A*02:06-B*40:01-C*03:04-DRB1*04:03  Hong Kong Chinese BMDR 0.02087,595
 37  A*03:01-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  India East UCBB 0.02082,403
 38  A*24:02-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  India Central UCBB 0.02064,204
 39  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*04:03:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 40  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*04:03:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01765,266
 41  A*02:01-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  India West UCBB 0.01725,829
 42  A*01:01-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  India South UCBB 0.016711,446
 43  A*02:01-B*40:01-C*03:04-DRB1*04:03  Poland DKMS 0.016720,653
 44  A*02:01-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  India North UCBB 0.01675,849
 45  A*24:02-B*40:01-C*03:04-DRB1*04:03  Japan pop 16 0.016018,604
 46  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*04:03:01-DQB1*03:02:01  China Zhejiang Han 0.01521,734
 47  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*04:03:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01375,266
 48  A*11:01-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  India East UCBB 0.01332,403
 49  A*31:01-B*40:01-C*03:04-DRB1*04:03  Hong Kong Chinese BMDR 0.01327,595
 50  A*02:11-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.01262,492
 51  A*02:01-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  India Central UCBB 0.01194,204
 52  A*02:05-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  India Central UCBB 0.01194,204
 53  A*02:06-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  India Central UCBB 0.01194,204
 54  A*24:02-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  USA African American pop 4 0.01102,411
 55  A*33:03-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  USA African American pop 4 0.01102,411
 56  A*11:01-B*40:01-C*03:04-DRB1*04:03  Japan pop 16 0.010018,604
 57  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*04:03:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01005,266
 58  A*02:03:01-B*40:01:02-C*03:04:01-DRB1*04:03:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 59  A*01:01-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  India West UCBB 0.00945,829
 60  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*04:03:01-DPB1*21:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00925,266
 61  A*24:02-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.00901,772
 62  A*24:02-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  India North UCBB 0.00905,849
 63  A*03:01-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  India West UCBB 0.00865,829
 64  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*04:03:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00865,266
 65  A*33:03-B*40:01-C*03:04-DRB1*04:03-DQB1*03:01  India West UCBB 0.00865,829
 66  A*68:01-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  India North UCBB 0.00855,849
 67  A*26:01-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  India West UCBB 0.00775,829
 68  A*03:01-B*40:01-C*03:04-DRB1*04:03  Poland DKMS 0.007420,653
 69  A*24:02-B*40:01-C*03:04-DRB1*04:03  Poland DKMS 0.006120,653
 70  A*68:01-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  India South UCBB 0.005811,446
 71  A*24:02-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  India South UCBB 0.005711,446
 72  A*02:11-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  India South UCBB 0.005311,446
 73  A*33:03-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  India South UCBB 0.005111,446
 74  A*26:03-B*40:01-C*03:04-DRB1*04:03  Japan pop 16 0.005018,604
 75  A*03:01-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  India South UCBB 0.004511,446
 76  A*01:01-B*40:01-C*03:04-DRB1*04:03  Poland DKMS 0.003120,653
 77  A*31:01:02-B*40:01:02-C*03:04:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002623,595
 78  A*32:01-B*40:01-C*03:04-DRB1*04:03-DQB1*03:02  India Central UCBB 0.00254,204
 79  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002423,595
 80  A*26:01-B*40:01-C*03:04-DRB1*04:03  Poland DKMS 0.002420,653
 81  A*26:01:01-B*40:01:02-C*03:04:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002123,595
 82  A*29:02-B*40:01-C*03:04-DRB1*04:03  Poland DKMS 0.001720,653
 83  A*32:01-B*40:01-C*03:04-DRB1*04:03  Poland DKMS 0.001320,653

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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