Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 111) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11:01:01-B*56:01-C*08:04-DRB1*15:01:01  China Jingpo Minority 0.5210105
 2  A*24:02:01-B*56:01-DRB1*15:01:01  China Jingpo Minority 0.5210105
 3  B*56:01-C*07:02:01-DRB1*15:01:01  China Jingpo Minority 0.5210105
 4  B*56:01-DRB1*15:01:01  China Jingpo Minority 0.5210105
 5  A*11:01-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02:01  England North West 0.3000298
 6  A*02:01-B*56:01-C*01:02-DRB1*15:01-DQB1*05:02-DPB1*01:01  Panama 0.1900462
 7  A*26:01-B*56:01-DRB1*15:01-DQB1*06:02  Mexico Mexico City Tlalpan 0.1515330
 8  A*03:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 9  A*11:01-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.13951,075
 10  A*03:01-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.13655,849
 11  A*11:01-B*56:01-C*01:02-DRB1*15:01  Germany DKMS - Bosnia and Herzegovina minority 0.09401,028
 12  A*03:01-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.08334,204
 13  A*02:01-B*56:01-C*01:02-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*01:01  Sri Lanka Colombo 0.0700714
 14  A*02:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.065423,595
 15  A*03:01-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02  India East UCBB 0.06242,403
 16  A*11:01-B*56:01-C*01:02-DRB1*15:01  Poland DKMS 0.060620,653
 17  A*03:01-B*56:01-C*01:02-DRB1*15:01  Poland DKMS 0.059220,653
 18  A*02:01-B*56:01-C*01:02-DRB1*15:01  Poland DKMS 0.058720,653
 19  A*01:03-B*56:01-DRB1*15:01  Israel Georgia Jews 0.05784,471
 20  A*01:01-B*56:01-C*01:02-DRB1*15:01  Germany DKMS - Austria minority 0.05701,698
 21  A*03:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.055923,595
 22  A*34:01-B*56:01-C*12:02-DRB1*15:01-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 23  A*03:01-B*56:01-C*01:02-DRB1*15:01  Germany DKMS - Croatia minority 0.04902,057
 24  A*24:03-B*56:01-C*01:02-DRB1*15:01  Germany DKMS - United Kingdom minority 0.04801,043
 25  A*26:01-B*56:01-C*01:02-DRB1*15:01  Germany DKMS - Spain minority 0.04501,107
 26  A*02:01-B*56:01-C*04:01-DRB1*15:01-DQB1*05:02  USA Asian pop 2 0.04401,772
 27  A*11:01-B*56:01-C*01:02-DRB1*15:01-DQB1*05:02  USA Asian pop 2 0.04401,772
 28  A*24:02-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.04401,772
 29  A*01:01-B*56:01-C*01:02-DRB1*15:01  Germany DKMS - Portugal minority 0.04301,176
 30  A*26:01-B*56:01-C*01:02-DRB1*15:01  Germany DKMS - Portugal minority 0.04301,176
 31  A*31:01-B*56:01-C*01:02-DRB1*15:01  Germany DKMS - Romania minority 0.04101,234
 32  A*02:03-B*56:01-DRB1*15:01  Hong Kong Chinese cord blood registry 0.04023,892
 33  A*02:01-B*56:01-C*01:02-DRB1*15:01  Germany DKMS - Austria minority 0.03601,698
 34  A*03:01-B*56:01-C*01:02-DRB1*15:01  Germany DKMS - France minority 0.03601,406
 35  A*30:02-B*56:01-C*01:02-DRB1*15:01  Germany DKMS - France minority 0.03601,406
 36  A*11:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.035223,595
 37  A*26:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 38  A*32:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 39  A*68:01-B*56:01-C*01:02-DRB1*15:01-DQB1*05:02  Germany DKMS - Turkey minority 0.03104,856
 40  A*11:01-B*56:01-C*01:02-DRB1*15:01  Germany DKMS - Austria minority 0.02901,698
 41  A*32:01-B*56:01-C*01:02-DRB1*15:01  Germany DKMS - Austria minority 0.02901,698
 42  A*03:01-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.02575,829
 43  A*24:02-B*56:01-C*05:01-DRB1*15:01  Germany DKMS - Croatia minority 0.02402,057
 44  A*01:01-B*56:01-C*04:01-DRB1*15:01-DQB1*06:01  India West UCBB 0.02105,829
 45  A*02:11-B*56:01-C*01:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.02082,403
 46  A*24:02-B*56:01-C*04:01-DRB1*15:01-DQB1*06:01  India East UCBB 0.02082,403
 47  A*26:01-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02  India East UCBB 0.02082,403
 48  A*33:03-B*56:01-C*01:02-DRB1*15:01-DQB1*02:02  India East UCBB 0.02082,403
 49  A*11:01-B*56:01-DRB1*15:01  Israel USSR Jews 0.020445,681
 50  A*24:02-B*56:01-C*04:03-DRB1*15:01  Hong Kong Chinese BMDR 0.01977,595
 51  A*11:01-B*56:01-C*01:02-DRB1*15:01  Hong Kong Chinese BMDR 0.01937,595
 52  A*02:03:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01835,266
 53  A*11:02-B*56:01-C*01:02-DRB1*15:01  Hong Kong Chinese BMDR 0.01777,595
 54  A*11:01-B*56:01-C*04:10-DRB1*15:01-DQB1*06:02  India West UCBB 0.01725,829
 55  A*11:01-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.01613,456,066
 56  A*02:03-B*56:01-C*01:02-DRB1*15:01  Hong Kong Chinese BMDR 0.01567,595
 57  A*26:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.015123,595
 58  A*03:01-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.01403,456,066
 59  A*02:01-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.01333,456,066
 60  A*02:01-B*56:01-DRB1*15:01  Israel USSR Jews 0.013245,681
 61  A*11:01-B*56:01-C*04:01-DRB1*15:01-DQB1*06:01  India Central UCBB 0.01194,204
 62  A*11:01-B*56:01-C*04:10-DRB1*15:01-DQB1*06:02  India Central UCBB 0.01194,204
 63  A*32:01-B*56:01-C*01:02-DRB1*15:01-DQB1*05:03  India Central UCBB 0.01194,204
 64  A*02:03-B*56:01-C*12:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.01101,772
 65  A*26:01-B*56:01-C*12:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.01101,772
 66  A*03:01-B*56:01-DRB1*15:01  Israel USSR Jews 0.010445,681
 67  A*26:01-B*56:01-DRB1*15:01  Israel USSR Jews 0.010345,681
 68  A*11:01:01-B*56:01:01-C*07:02:01-DRB1*15:01:01-DPB1*01:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 69  A*74:05-B*56:01:01-C*07:02:01-DRB1*15:01:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00935,266
 70  A*02:03:01-B*56:01:01-C*07:02:01-DRB1*15:01:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00925,266
 71  A*30:01-B*56:01-C*01:02-DRB1*15:01  Poland DKMS 0.009120,653
 72  A*24:02:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.008823,595
 73  A*11:01:01-B*56:01:01-C*04:03:01-DRB1*15:01:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00875,266
 74  A*26:01-B*56:01-C*01:02-DRB1*15:01  Poland DKMS 0.008720,653
 75  A*02:01-B*56:01-C*03:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.00865,829
 76  A*02:06-B*56:01-C*04:01-DRB1*15:01-DQB1*06:01  India West UCBB 0.00865,829
 77  A*68:01-B*56:01-C*04:01-DRB1*15:01-DQB1*06:01  India West UCBB 0.00865,829
 78  A*02:01-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.00855,849
 79  A*02:20-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.00855,849
 80  A*31:01:02-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.008323,595
 81  A*24:02:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00805,266
 82  A*02:01-B*56:01-DRB1*15:01  Hong Kong Chinese cord blood registry 0.00713,892
 83  A*02:06:01-B*56:01:01-C*07:02:01-DRB1*15:01:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00685,266
 84  A*03:02-B*56:01-DRB1*15:01  Israel USSR Jews 0.006845,681
 85  A*24:02-B*56:01-C*01:02-DRB1*15:01  Hong Kong Chinese BMDR 0.00657,595
 86  A*25:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.006123,595
 87  A*02:06-B*56:01-C*01:02-DRB1*15:01  Japan pop 16 0.005018,604
 88  A*02:06-B*56:01-C*07:02-DRB1*15:01  Japan pop 16 0.005018,604
 89  A*31:01-B*56:01-C*04:01-DRB1*15:01  Japan pop 16 0.005018,604
 90  A*02:11-B*56:01-C*15:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.004811,446
 91  A*11:01-B*56:01-C*01:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.004511,446
 92  A*02:11-B*56:01-C*04:01-DRB1*15:01-DQB1*05:02  India South UCBB 0.004411,446
 93  A*68:01-B*56:01-C*15:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.003911,446
 94  A*24:02-B*56:01-C*01:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00362,492
 95  A*01:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.003523,595
 96  A*24:02-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.00292,492
 97  A*24:02-B*56:01-C*01:02-DRB1*15:01-DQB1*05:02  India Tamil Nadu 0.00252,492
 98  A*31:01-B*56:01-C*04:01-DRB1*15:01  Poland DKMS 0.002420,653
 99  A*01:01-B*56:01-DRB1*15:01  Israel USSR Jews 0.002145,681
 100  A*24:03:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:03:01  Poland BMR 0.002123,595

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 111) 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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