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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Displaying 1 to 66 (from 66) 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  Germany DKMS - France minority 0.07101,406
 15  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
 16  A*03:02-B*52:01-DRB1*04:04  Israel Bukhara Jews 0.06472,317
 17  A*68:01-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.06022,492
 18  A*03:01-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02-DPB1*17:01  Russia Karelia 0.05641,075
 19  A*26:01-B*52:01-DRB1*04:04  Israel USSR Jews 0.051645,681
 20  A*02:01-B*52:01-C*03:03-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 21  A*11:01-B*52:01-C*04:01-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 22  A*24:25-B*52:01-C*03:03-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 23  A*11:01-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.04402,492
 24  A*02:01-B*52:01-DRB1*04:04  Israel Libya Jews 0.04173,739
 25  A*11:01-B*52:01-C*07:02-DRB1*04:04  Germany DKMS - Romania minority 0.04101,234
 26  A*24:02-B*52:01-C*12:02-DRB1*04:04  Germany DKMS - Romania minority 0.04101,234
 27  A*31:01-B*52:01-C*15:02-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 28  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
 29  A*01:01-B*52:01-C*12:02-DRB1*04:04  Germany DKMS - Austria minority 0.02901,698
 30  A*01:01-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  India UCBB_Central Indian HLA 0.02614,204
 31  A*26:01-B*52:01-C*03:04-DRB1*04:04-DQB1*03:02  USA Asian pop 2 0.02201,772
 32  A*02:01-B*52:01-DRB1*04:04  Israel Argentina Jews 0.01894,307
 33  A*26:02-B*52:01-DRB1*04:04  Israel Bukhara Jews 0.01622,317
 34  A*26:04-B*52:01-DRB1*04:04  Israel Bukhara Jews 0.01622,317
 35  A*26:27-B*52:01-DRB1*04:04  Israel Bukhara Jews 0.01622,317
 36  A*26:29-B*52:01-DRB1*04:04  Israel Bukhara Jews 0.01622,317
 37  A*01:01-B*52:01-DRB1*04:04  Israel Iran Jews 0.01538,153
 38  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
 39  A*24:02-B*52:01-C*12:02-DRB1*04:04-DQB1*04:02  India UCBB_Central Indian HLA 0.01304,204
 40  A*24:02-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  India UCBB_Central Indian HLA 0.01274,204
 41  A*02:01-B*52:01-C*16:01-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 42  A*02:11-B*52:01-C*15:02-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 43  A*23:01-B*52:01-C*16:01-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 44  A*29:02-B*52:01-C*15:02-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 45  A*02:11-B*52:01-C*12:02-DRB1*04:04-DQB1*03:03  India UCBB_Central Indian HLA 0.01194,204
 46  A*68:01-B*52:01-DRB1*04:04  Israel Bukhara Jews 0.01082,317
 47  A*26:01-B*52:01-DRB1*04:04  Israel Poland Jews 0.010513,871
 48  A*11:19-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 49  A*26:01-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 50  A*68:01-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  India UCBB_Central Indian HLA 0.00994,204
 51  A*02:06-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  India UCBB_Central Indian HLA 0.00944,204
 52  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
 53  A*01:01-B*52:01-DRB1*04:04  Israel Arab pop 2 0.006612,301
 54  A*03:02-B*52:01-DRB1*04:04  Israel Druze 0.00575,914
 55  A*11:01-B*52:01-DRB1*04:04  Israel Poland Jews 0.005013,871
 56  A*11:01-B*52:01-DRB1*04:04  Israel USSR Jews 0.004745,681
 57  A*01:01-B*52:01-DRB1*04:04  Israel USSR Jews 0.004445,681
 58  A*26:01-B*52:01-DRB1*04:04  Israel Arab pop 2 0.004312,301
 59  A*26:01-B*52:01-DRB1*04:04  Israel Iraq Jews 0.003813,270
 60  A*11:01-B*52:01-C*12:02-DRB1*04:04  Poland DKMS 0.003720,653
 61  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
 62  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
 63  A*68:02-B*52:01-DRB1*04:04  Israel Morocco Jews 0.000897036,718
 64  A*03:02-B*52:01-DRB1*04:04  Israel USSR Jews 0.000653045,681
 65  A*01:01-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.00006772,492
 66  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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