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 70 (from 70) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01-B*15:24-C*08:01-DRB1*15:01-DQB1*05:01  Iran Gorgan 1.560064
 2  A*24-B*15:24-DRB1*11-DQB1*03:01  Mexico Colima Rural 1.136443
 3  A*26:01-B*15:24-DRB1*13:02-DQB1*06:04  Iran Yazd 0.892956
 4  A*01:01-B*15:24-DRB1*12:01-DQB1*03:01  Iran Saqqez-Baneh Kurds 0.833360
 5  A*02:50-B*15:24-DRB1*12:01-DQB1*03:07  Iran Tabriz Azeris 0.515597
 6  A*26:01:01-B*15:24:01-C*07:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*03:01-DPA1*02:01:01-DPB1*04:02:01  Russia Belgorod region 0.3268153
 7  A*24:02-B*15:24-C*03:03-DRB1*04:01-DQA1*05:01-DQB1*03:02-DPB1*11:01  South Africa Worcester 0.3000159
 8  A*68-B*15:24-DRB1*11-DQB1*03:01  Mexico Jalisco, Zapopan 0.2976168
 9  A*31:01-B*15:24-C*12:03-DRB1*14:01  Italy pop 5 0.1000975
 10  A*68:01-B*15:24-DRB1*01:02  Israel Tunisia Jews 0.09929,070
 11  A*31:01-B*15:24-C*03:03  Italy pop 5 0.0900975
 12  A*68:02-B*15:24-DRB1*01:02  Israel Libya Jews 0.08833,739
 13  A*68:02-B*15:24-DRB1*01:02  Israel Tunisia Jews 0.08829,070
 14  B*15:24-C*03:03  Italy pop 5 0.0700975
 15  A*33-B*15:24-DRB1*11-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.0607824
 16  A*68:01-B*15:24-DRB1*01:02  Israel Libya Jews 0.05883,739
 17  A*31:01-B*15:24-C*03:03-DRB1*04:01  Germany DKMS - United Kingdom minority 0.04801,043
 18  A*03:01-B*15:24-C*03:03-DRB1*04:01  Germany DKMS - Portugal minority 0.04301,176
 19  A*31:01-B*15:24-C*12:03-DRB1*13:21-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 20  A*33-B*15:24-DRB1*11-DQB1*03:01  Ecuador Mixed Ancestry 0.04261,173
 21  A*24:02-B*15:24-C*03:03-DRB1*11:01  Germany DKMS - France minority 0.03601,406
 22  A*24:02-B*15:24-C*03:03-DRB1*13:02  Germany DKMS - Netherlands minority 0.03601,374
 23  A*32:01-B*15:24-C*03:03-DRB1*16:01  Germany DKMS - Netherlands minority 0.03601,374
 24  A*03:01-B*15:24-C*03:03-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 25  A*68:01-B*15:24-C*03:03-DRB1*11:01  Germany DKMS - Greece minority 0.02601,894
 26  A*68:02-B*15:24-DRB1*01:02  Israel Kavkazi Jews 0.01762,840
 27  A*01:01-B*15:240-C*07:26-DRB1*10:01-DQB1*05:01  India West UCBB 0.01725,829
 28  A*03:01-B*15:240-C*07:26-DRB1*14:04-DQB1*05:03  India Central UCBB 0.01194,204
 29  A*02:01-B*15:24-C*03:03-DRB1*01:01-DQB1*05:01  Belgium 0.010331,412
 30  A*02:01-B*15:240-C*04:107-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 31  A*68:02-B*15:24-DRB1*12:02  Israel USA Jews 0.00836,058
 32  A*24:02-B*15:24-C*03:03-DRB1*04:01-DQB1*03:02  Belgium 0.008031,412
 33  A*68:01-B*15:24-DRB1*07:01  Israel Tunisia Jews 0.00759,070
 34  A*02:01-B*15:24-C*03:03-DRB1*11:01-DQB1*03:01  Belgium 0.007131,412
 35  A*02:01-B*15:24-C*03:03-DRB1*13:01-DQB1*06:03  Belgium 0.007031,412
 36  A*26:01:01-B*15:24:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.006223,595
 37  A*02:01-B*15:24-C*03:03-DRB1*04:01  Poland DKMS 0.004820,653
 38  A*24:02-B*15:24-C*03:03-DRB1*12:01-DQB1*03:01  Belgium 0.004131,412
 39  A*31:01-B*15:24-C*03:03-DRB1*09:01-DQB1*03:03  Belgium 0.004131,412
 40  A*32:01-B*15:24-C*03:03-DRB1*16:01-DQB1*05:02  Belgium 0.004131,412
 41  A*68:01-B*15:24-C*03:03-DRB1*07:01-DQB1*02:01  Belgium 0.004131,412
 42  A*68:01-B*15:24-DRB1*01:02  Israel Iraq Jews 0.003813,270
 43  A*68:01-B*15:24-DRB1*07:01  Israel Iraq Jews 0.003813,270
 44  A*68:01-B*15:24-DRB1*10:01  Israel Tunisia Jews 0.00359,070
 45  A*03:01-B*15:24-C*03:03-DRB1*13:01  Poland DKMS 0.003220,653
 46  A*02:01-B*15:24-C*03:03-DRB1*11:01  Poland DKMS 0.002420,653
 47  A*25:01-B*15:24-C*03:03-DRB1*13:01  Poland DKMS 0.002420,653
 48  A*26:01-B*15:24-C*03:03-DRB1*14:01  Poland DKMS 0.002420,653
 49  A*32:01-B*15:24-C*03:03-DRB1*13:01  Poland DKMS 0.002420,653
 50  A*68:01-B*15:24-C*03:03-DRB1*04:03  Poland DKMS 0.002420,653
 51  A*03:01:01-B*15:24:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002323,595
 52  A*26:01:01-B*15:24:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002223,595
 53  A*01:01:01-B*15:24:01-C*03:03:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 54  A*11:01:01-B*15:24:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 55  A*24:02:01-B*15:24:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 56  A*26:01:01-B*15:24:01-C*03:03:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 57  A*68:01:02-B*15:24:01-C*03:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 58  A*03:01:01-B*15:24:01-C*03:03:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002023,595
 59  A*03:01-B*15:24-C*03:04-DRB1*03:01-DQB1*02:01  Belgium 0.002031,412
 60  A*24:02-B*15:24-C*03:03-DRB1*14:01-DQB1*05:03  Belgium 0.002031,412
 61  A*26:01-B*15:24-C*03:03-DRB1*07:01-DQB1*03:03  Belgium 0.002031,412
 62  A*68:01-B*15:24-C*03:03-DRB1*01:02-DQB1*05:01  Belgium 0.002031,412
 63  A*68:01-B*15:24-C*03:03-DRB1*08:01-DQB1*04:02  Belgium 0.002031,412
 64  A*23:01-B*15:24-C*03:03-DRB1*13:01-DQB1*06:03  Belgium 0.001931,412
 65  A*03:01-B*15:24-C*03:03-DRB1*07:01-DQB1*02:01  Belgium 0.001831,412
 66  A*68:01-B*15:24-C*03:03-DRB1*12:01-DQB1*03:01  Belgium 0.001831,412
 67  A*24:02-B*15:24-C*03:03-DRB1*13:01  Poland DKMS 0.001520,653
 68  A*68:01-B*15:24-DRB1*01:02  Israel Morocco Jews 0.001436,718
 69  A*24:02-B*15:24-DRB1*04:01  Israel USSR Jews 0.001145,681
 70  A*26:01-B*15:24-DRB1*13:03  Israel USSR Jews 0.001145,681

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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