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 82 (from 82) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01:01-B*52:01:02-C*15:02:01-DRB1*04:04:01-DQB1*03:02:01-DPA1*03:01:01-DPB1*03:01:01  Brazil Rio de Janeiro Black 1.470668
 2  A*26:01-B*52:01-DRB1*04:04  Israel Bukhara Jews 1.34002,317
 3  A*02:06-B*52:01-C*03:03-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.6881218
 4  A*24:02-B*52:01-C*03:03-DRB1*04:04-DQA1*03:01-DQB1*03:02  Brazil Puyanawa 0.6667150
 5  A*11:01-B*52:01-C*12:02-DRB1*04:04  Russia Bering Island Aleuts 0.4808104
 6  A*02:01:01-B*52:01:02-C*03:03:01-DRB1*04:04:01  Nicaragua Mestizo (G) 0.3226155
 7  A*02:06-B*52:01-C*04:01-DRB1*04:04-DQA1*01:01-DQB1*03:02-DPB1*04:02  USA San Diego 0.2600496
 8  A*24:02-B*52:01-C*03:03-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 9  A*24:02-B*52:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 10  A*11:01:01-B*52:01:01-C*12:02:01-DRB1*04:04:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 11  A*24:07:01-B*52:01:01-C*12:02:01-DRB1*04:04:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 12  A*24:02-B*52:01-C*06:02-DRB1*04:04  Italy pop 5 0.1000975
 13  A*11:01-B*52:01-DRB1*04:04  Israel USA Jews 0.08526,058
 14  A*11:01-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  India South UCBB 0.080111,446
 15  A*11:01-B*52:01-C*12:02-DRB1*04:04  Germany DKMS - France minority 0.07101,406
 16  A*02:01-B*52:01-C*12:02-DRB1*04:04-DQA1*01:03-DQB1*03:02-DPB1*13:01  Sri Lanka Colombo 0.0700714
 17  A*03:02-B*52:01-DRB1*04:04  Israel Bukhara Jews 0.06472,317
 18  A*68:01-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.06022,492
 19  A*03:01-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02-DPB1*17:01  Russia Karelia 0.05641,075
 20  A*26:01-B*52:01-DRB1*04:04  Israel USSR Jews 0.051645,681
 21  A*02:01-B*52:01-C*03:03-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 22  A*11:01-B*52:01-C*04:01-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 23  A*24:25-B*52:01-C*03:03-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 24  A*11:01-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.04402,492
 25  A*02:01-B*52:01-DRB1*04:04  Israel Libya Jews 0.04173,739
 26  A*02:01-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  India East UCBB 0.04162,403
 27  A*11:01-B*52:01-C*07:02-DRB1*04:04  Germany DKMS - Romania minority 0.04101,234
 28  A*24:02-B*52:01-C*12:02-DRB1*04:04  Germany DKMS - Romania minority 0.04101,234
 29  A*68:01-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  India South UCBB 0.040911,446
 30  A*31:01-B*52:01-C*15:02-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 31  A*11:01:01:01-B*52:01:01-C*12:02:02-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 32  A*01:01-B*52:01-C*12:02-DRB1*04:04  Germany DKMS - Austria minority 0.02901,698
 33  A*01:01-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  India Central UCBB 0.02614,204
 34  A*01:01-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  India West UCBB 0.02575,829
 35  A*26:01-B*52:01-C*03:04-DRB1*04:04-DQB1*03:02  USA Asian pop 2 0.02201,772
 36  A*03:01-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  India East UCBB 0.02082,403
 37  A*02:01-B*52:01-DRB1*04:04  Israel Argentina Jews 0.01894,307
 38  A*02:03-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  India West UCBB 0.01725,829
 39  A*26:02-B*52:01-DRB1*04:04  Israel Bukhara Jews 0.01622,317
 40  A*26:04-B*52:01-DRB1*04:04  Israel Bukhara Jews 0.01622,317
 41  A*26:27-B*52:01-DRB1*04:04  Israel Bukhara Jews 0.01622,317
 42  A*26:29-B*52:01-DRB1*04:04  Israel Bukhara Jews 0.01622,317
 43  A*01:01-B*52:01-DRB1*04:04  Israel Iran Jews 0.01538,153
 44  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.015323,595
 45  A*24:02-B*52:01-C*12:02-DRB1*04:04-DQB1*04:02  India Central UCBB 0.01304,204
 46  A*24:02-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  India Central UCBB 0.01274,204
 47  A*24:02-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  India South UCBB 0.012111,446
 48  A*02:01-B*52:01-C*16:01-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 49  A*02:11-B*52:01-C*15:02-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 50  A*23:01-B*52:01-C*16:01-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 51  A*29:02-B*52:01-C*15:02-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 52  A*02:11-B*52:01-C*12:02-DRB1*04:04-DQB1*03:03  India Central UCBB 0.01194,204
 53  A*68:01-B*52:01-DRB1*04:04  Israel Bukhara Jews 0.01082,317
 54  A*26:01-B*52:01-DRB1*04:04  Israel Poland Jews 0.010513,871
 55  A*01:01-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  India South UCBB 0.010311,446
 56  A*11:19-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 57  A*26:01-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 58  A*68:01-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  India Central UCBB 0.00994,204
 59  A*02:06-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  India Central UCBB 0.00944,204
 60  A*33:03-B*52:01-C*03:03-DRB1*04:04-DQB1*03:02  India North UCBB 0.00855,849
 61  A*01:01:01-B*52:01:01-C*12:02:02-DRB1*04:04:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00815,266
 62  A*02:11-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  India South UCBB 0.007611,446
 63  A*01:01-B*52:01-DRB1*04:04  Israel Arab pop 2 0.006612,301
 64  A*03:02-B*52:01-DRB1*04:04  Israel Druze 0.00575,914
 65  A*02:01-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  India South UCBB 0.005511,446
 66  A*11:01-B*52:01-DRB1*04:04  Israel Poland Jews 0.005013,871
 67  A*11:01-B*52:01-DRB1*04:04  Israel USSR Jews 0.004745,681
 68  A*33:03-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  India South UCBB 0.004611,446
 69  A*11:01-B*52:01-C*12:132-DRB1*04:04-DQB1*03:02  India South UCBB 0.004411,446
 70  A*26:01-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  India South UCBB 0.004411,446
 71  A*26:01-B*52:01-C*16:02-DRB1*04:04-DQB1*03:02  India South UCBB 0.004411,446
 72  A*01:01-B*52:01-DRB1*04:04  Israel USSR Jews 0.004445,681
 73  A*26:01-B*52:01-DRB1*04:04  Israel Arab pop 2 0.004312,301
 74  A*26:01-B*52:01-DRB1*04:04  Israel Iraq Jews 0.003813,270
 75  A*11:01-B*52:01-C*12:02-DRB1*04:04  Poland DKMS 0.003720,653
 76  A*11:01-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  India North UCBB 0.00375,849
 77  A*01:01:01-B*52:01:01-C*12:02:02-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002123,595
 78  A*25:01:01-B*52:01:01-C*12:02:02-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002123,595
 79  A*68:02-B*52:01-DRB1*04:04  Israel Morocco Jews 0.000897036,718
 80  A*03:02-B*52:01-DRB1*04:04  Israel USSR Jews 0.000653045,681
 81  A*01:01-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.00006772,492
 82  A*24:02-B*52:01-C*12:02-DRB1*04:04-DQB1*03:01  India Tamil Nadu 0.00000082,492

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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