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 100 (from 225) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01-B*52:01-DRB1*03:01  Gaza 1.282042
 2  A*02-B*52-DRB1*03:01-DQB1*02  Mexico Baja California Rural 1.000050
 3  A*02-B*52-C*12-DRB1*03  Iran pop 4 0.9000855
 4  A*32:01-B*52:01-DRB1*03:01-DQB1*02:01  Iran Saqqez-Baneh Kurds 0.833360
 5  A*02-B*52-DRB1*03:01-DQB1*02  Mexico Baja California, La Paz 0.666775
 6  A*24-B*52-DRB1*03:02-DQB1*04  Mexico Baja California, La Paz 0.666775
 7  A*11-B*52-DRB1*03  Iraq Erbil 0.6000372
 8  A*03:02-B*52:01-DRB1*03:01  Israel Iran Jews 0.53608,153
 9  A*02:01-B*52:01-DRB1*03:01-DQB1*02:01  Iran Tabriz Azeris 0.515597
 10  A*74:01-B*52:01:02-C*16:01:01-DRB1*03:02:01  Costa Rica African -Caribbean (G) 0.4902102
 11  A*11-B*52-C*12-DRB1*03  Iran pop 4 0.4000855
 12  A*11-B*52-DRB1*03-DQB1*02  Iraq Arabs 0.3400149
 13  A*30-B*52-DRB1*03-DQB1*05  Iraq Arabs 0.3400149
 14  A*33-B*52-DRB1*03  India sub-Himalayan West Bengal Kami 0.3200158
 15  A*33-B*52-DRB1*03:01-DQB1*02  Mexico Durango Rural 0.3058326
 16  A*24:02-B*52:01-C*06:02-DRB1*03:01-DQA1*03:01-DQB1*03:02-DPB1*106:01  South Africa Worcester 0.3000159
 17  A*30:02-B*52:01-C*12:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  USA San Diego 0.2600496
 18  A*33:01-B*52:01-C*12:02-DRB1*03:06-DQB1*02:01  Malaysia Peninsular Chinese 0.2577194
 19  A*01:01-B*52:01-C*12:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.23165,849
 20  A*01:01-B*52:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*16:01  Nicaragua Managua 0.2165339
 21  A*01:01-B*52:01-DRB1*03:01  Israel Bukhara Jews 0.21102,317
 22  A*11:01-B*52:01-C*12:02-DRB1*03:01-DQB1*03:01-DPB1*16:01  Panama 0.1900462
 23  A*30:02-B*52:01-C*12:02-DRB1*03:01-DQB1*02:01-DPB1*02:01  Panama 0.1900462
 24  A*03:01-B*52:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 25  A*02:11:01-B*52:01:01-C*12:03:01-DRB1*03:01:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 26  A*30:01-B*52:01-C*03:02-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 27  A*68:01-B*52:01-C*16:01-DRB1*03:02-DQB1*04:02  USA African American pop 4 0.13102,411
 28  A*03:01-B*52:01-DRB1*03:01  Israel Iran Jews 0.12708,153
 29  A*01-B*52-DRB1*03  Albania pop 2 0.1200432
 30  A*24-B*52-DRB1*03  Albania pop 2 0.1200432
 31  A*02:02-B*52:01-DRB1*03:01  Israel Druze 0.11705,914
 32  A*03:02-B*52:01-DRB1*03:01  Israel Iraq Jews 0.102013,270
 33  A*02:01-B*52:01-C*06:02-DRB1*03:01  Italy pop 5 0.1000975
 34  A*30-B*52-DRB1*03:01-DQB1*02  Mexico Jalisco Rural 0.0853585
 35  A*11:01-B*52:01-C*12:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.08145,829
 36  B*52:01-DRB1*03:01  Italy pop 5 0.0800975
 37  A*24:02-B*52:01-C*12:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.07804,204
 38  A*26-B*52-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 39  A*74-B*52-DRB1*03:01-DQA1*05:05-DQB1*03:03  Brazil Paraná Caucasian 0.0780641
 40  A*01:01-B*52:01-C*15:04-DRB1*03:01-DQB1*02:01  India West UCBB 0.07725,829
 41  A*01:01-B*52:01-C*12:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.07134,204
 42  A*01-B*52-DRB1*03  Iran pop 4 0.0700855
 43  A*02-B*52-DRB1*03  Iran pop 4 0.0700855
 44  A*11-B*52-DRB1*03  Iran pop 4 0.0700855
 45  A*23:01-B*52:01-DRB1*03:01  Israel YemenJews 0.069915,542
 46  A*23-B*52-DRB1*03:01-DQB1*02  Mexico Mexico City North 0.0664751
 47  A*32:01-B*52:01-C*12:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.06255,849
 48  A*02-B*52-DRB1*03  Brazil Para Cord Blood Unit 0.0619841
 49  A*68:01-B*52:01-C*12:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.06025,829
 50  A*34-B*52-DRB1*03  Brazil Para Cord Blood Unit 0.0595841
 51  A*02:01-B*52:01-DRB1*03:01  Israel Druze 0.05905,914
 52  A*11:01-B*52:01-C*12:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Malay 0.0526951
 53  A*33:03-B*52:01-C*07:21-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Malay 0.0526951
 54  A*68:01-B*52:01-C*12:02-DRB1*03:01-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 55  A*01:01-B*52:01-C*12:02-DRB1*03:01  Germany DKMS - Croatia minority 0.05102,057
 56  A*01:01-B*52:01-C*15:04-DRB1*03:01-DQB1*02:01  India North UCBB 0.05005,849
 57  A*11:01-B*52:01-C*12:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.04912,492
 58  A*68:01-B*52:01-C*12:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.04702,403
 59  A*01:01-B*52:01-C*16:01-DRB1*03:02-DQB1*03:01  USA African American pop 4 0.04402,411
 60  A*02:01-B*52:01-C*16:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.04402,411
 61  A*30-B*52-DRB1*03  Brazil South East Cord Blood 0.044011,409
 62  A*31:01-B*52:01-C*12:02-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.04401,772
 63  A*01:17-B*52:01-DRB1*03:01  Israel Bukhara Jews 0.04322,317
 64  A*01:36-B*52:01-DRB1*03:01  Israel Bukhara Jews 0.04322,317
 65  A*30-B*52-DRB1*03:01-DQB1*02  Mexico Jalisco, Guadalajara city 0.04191,189
 66  A*11:01-B*52:01-C*12:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.041711,446
 67  A*02:01-B*52:01-C*12:02-DRB1*03:01  Germany DKMS - Romania minority 0.04101,234
 68  A*11:01-B*52:01-C*12:02-DRB1*03:01  Germany DKMS - Romania minority 0.04101,234
 69  A*02-B*52-DRB1*03:01  Chile Santiago 0.0408920
 70  A*02-B*52-DRB1*03:50  Chile Santiago 0.0408920
 71  A*01:01-B*52:01-DRB1*03:01  Israel Arab pop 2 0.040712,301
 72  A*02:11-B*52:01-C*12:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.03824,204
 73  A*03:01-B*52:01-C*12:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.03804,856
 74  A*31:08-B*52:01-DRB1*03:01  Israel Argentina Jews 0.03654,307
 75  A*02:22-B*52:01-C*07:02-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 76  A*02:22-B*52:01-C*16:01-DRB1*03:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 77  A*68:01-B*52:01-C*12:02-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 78  A*11:01:01:01-B*52:01:01:02-C*04:01:01-DRB1*03:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 79  A*24:02:01-B*52:01:01:02-C*12:02:02-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 80  A*01:01-B*52:01-C*12:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.030611,446
 81  A*01-B*52-DRB1*03  Russia Moscow Pop 2 0.03002,000
 82  A*01:01-B*52:01-C*12:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.02925,829
 83  A*01:01-B*52:01-C*12:02-DRB1*03:01  Germany DKMS - Austria minority 0.02901,698
 84  A*68-B*52-DRB1*03  Brazil South East Cord Blood 0.029011,409
 85  A*03:01-B*52:01-C*12:16-DRB1*03:01  Poland DKMS 0.028820,653
 86  A*26:01-B*52:01-C*12:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02804,856
 87  A*24:02-B*52:01-C*12:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.02742,492
 88  A*11:01-B*52:01-DRB1*03:01  Israel Argentina Jews 0.02704,307
 89  A*03:02-B*52:01-DRB1*03:01  Israel Bukhara Jews 0.02682,317
 90  A*03:12-B*52:01-C*12:02-DRB1*03:01  Germany DKMS - Greece minority 0.02601,894
 91  A*24:02-B*52:01-C*12:02-DRB1*03:01  Germany DKMS - Greece minority 0.02601,894
 92  A*02:06-B*52:01-C*12:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.02585,849
 93  A*11:01-B*52:01-DRB1*03:01  Israel Morocco Jews 0.025536,718
 94  A*02:11-B*52:01-C*12:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.025411,446
 95  A*02-B*52-DRB1*03  Brazil South East Cord Blood 0.024011,409
 96  A*01:01-B*52:01-C*15:04-DRB1*03:01-DQB1*02:01  India Central UCBB 0.02384,204
 97  A*11:03-B*52:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.02384,204
 98  A*03:02-B*52:01-DRB1*03:01  Israel Tunisia Jews 0.02219,070
 99  A*32:01-B*52:01-DRB1*03:01  Israel Arab pop 2 0.022112,301
 100  A*26:01-B*52:01-C*03:04-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.02201,772

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 225) records   Pages: 1 2 3 of 3  


   

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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