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 177) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*03:01-B*07:02-DRB1*10:01  Malaysia Kedah Kensiu 4.760021
 2  A*24:07-B*07:02-DRB1*10:01  Malaysia Patani 2.000025
 3  A*03:01-B*07:02-DRB1*10:01  Azores Oriental Islands 1.300043
 4  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  Vietnam Kinh 0.9900101
 5  A*29:01-B*07:02-DRB1*10:01  Israel Georgia Jews 0.77204,471
 6  A*03:01-B*07:02-DRB1*10:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 7  A*29:01-B*07:02-DRB1*10:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 8  A*29:01-B*07:02-DRB1*10:01  Israel USSR Jews 0.448045,681
 9  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  Italy pop 5 0.4400975
 10  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQA1*01:03:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 11  A*01:01:01:01-B*07:02:01-C*07:01:01-DRB1*10:01:01-DQB1*05:02  Russia Bashkortostan, Bashkirs 0.4167120
 12  A*29:01-B*07:02-DRB1*10:01  Israel Druze 0.41005,914
 13  A*29:01-B*07:02-DRB1*10:01  Israel USA Jews 0.36506,058
 14  A*29:01-B*07:02-DRB1*10:01  Israel Argentina Jews 0.36004,307
 15  A*68:01-B*07:02-C*07:02-DRB1*10:01-DQA1*05:05-DQB1*05:01  Brazil Puyanawa 0.3333150
 16  A*29:01-B*07:02-DRB1*10:01  Israel Poland Jews 0.327013,871
 17  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQA1*02:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*13:01:01  Russia Belgorod region 0.3268153
 18  A*03:01-B*07:02-C*07:02-DRB1*10:01  Italy pop 5 0.3000975
 19  A*29:01:01-B*07:02:01-C*15:05:01-DRB1*10:01:01-DQB1*05:02:04  India Karnataka Kannada Speaking 0.2870174
 20  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.2760356
 21  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 22  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 23  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.24692,492
 24  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.23642,403
 25  A*02:01-B*07:02-C*07:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*11:01  Mexico Chiapas Lacandon Mayans 0.2294218
 26  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.20895,849
 27  A*01:01-B*07:02-C*07:02-DRB1*10:01-DQB1*02:02  Malaysia Peninsular Indian 0.1845271
 28  A*03:01-B*07:02-C*06:02-DRB1*10:01-DQB1*03:01  Malaysia Peninsular Indian 0.1845271
 29  A*30:01-B*07:02-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 30  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.18394,204
 31  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Northeast UCBB 0.1689296
 32  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.16512,492
 33  A*33:03-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01-DPB1*17:01  Tanzania Maasai 0.1597336
 34  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.15635,829
 35  A*02:01-B*07:02-DRB1*10:01-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 36  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1450356
 37  A*02:01:01-B*07:02:21-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 38  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.134511,446
 39  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.12722,403
 40  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.11824,204
 41  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.10615,849
 42  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.10251,463
 43  A*29:01-B*07:02-DRB1*10:01  Israel Arab pop 2 0.102012,301
 44  B*07:02-DRB1*10:01  Italy pop 5 0.1000975
 45  A*11:01-B*07:02-DRB1*10:01  Israel Arab pop 2 0.099112,301
 46  A*01:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.09715,829
 47  A*02:01-B*07:02-C*07:02-DRB1*10:01  Germany DKMS - Spain minority 0.09001,107
 48  A*02:01-B*07:02-C*07:02-DRB1*10:01  Germany DKMS - Austria minority 0.08601,698
 49  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.082211,446
 50  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.07674,204
 51  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.07615,829
 52  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.07562,492
 53  A*02:01-B*07:02-C*07:02-DRB1*10:01  Germany DKMS - Netherlands minority 0.07301,374
 54  A*29:01-B*07:02-DRB1*10:01  Israel Morocco Jews 0.071036,718
 55  A*68:01-B*07:02-C*07:02-DRB1*10:01  Germany DKMS - France minority 0.07101,406
 56  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  Sri Lanka Colombo 0.0700714
 57  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*17:01  Sri Lanka Colombo 0.0700714
 58  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.06742,403
 59  A*68:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.06504,204
 60  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.05675,849
 61  A*26:01-B*07:02-C*12:03-DRB1*10:01-DQB1*05:01-DPB1*13:01  Russia Karelia 0.05651,075
 62  A*68:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.05445,849
 63  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.053611,446
 64  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*03:03  Malaysia Peninsular Malay 0.0526951
 65  A*24:07-B*07:02-C*12:02-DRB1*10:01-DQB1*06:03  Malaysia Peninsular Malay 0.0526951
 66  A*02:02-B*07:02-C*07:01-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 67  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 68  A*01:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 69  A*02:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.04402,411
 70  A*32:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 71  A*32:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.04162,403
 72  A*68:24-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.04162,403
 73  A*26:01-B*07:02-C*07:02-DRB1*10:01  Germany DKMS - Romania minority 0.04101,234
 74  A*02:01-B*07:02-C*07:02-DRB1*10:01  Germany DKMS - China minority 0.04001,282
 75  A*32:01-B*07:02-DRB1*10:01  Israel USSR Jews 0.037745,681
 76  A*32:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.03535,849
 77  A*32:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.034811,446
 78  A*25:01-B*07:02-C*07:172-DRB1*10:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 79  A*02:05-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 80  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 81  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 82  A*11:01-B*07:02:01-C*07:02:01:03-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 83  A*26:01:01-B*07:02:01-C*07:02:01:03-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 84  A*32:01-B*07:02-DRB1*10:01  Israel Argentina Jews 0.03184,307
 85  A*03:01-B*07:02-C*07:02-DRB1*10:01  Germany DKMS - Austria minority 0.03101,698
 86  A*03:01-B*07:02-C*07:02-DRB1*10:01  Germany DKMS - Greece minority 0.03001,894
 87  A*03:01-B*07:02-DRB1*10:01  Israel Arab pop 2 0.029112,301
 88  A*29:01-B*07:02-C*15:05-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02882,492
 89  A*29:02-B*07:02-DRB1*10:01  Israel Morocco Jews 0.027936,718
 90  A*02:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.027311,446
 91  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.02715,829
 92  A*32:01-B*07:02-DRB1*10:01  Israel USA Jews 0.02686,058
 93  A*31:08-B*07:02-DRB1*10:01  Israel Argentina Jews 0.02584,307
 94  A*68:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.02575,829
 95  A*02:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.02264,204
 96  A*26:01-B*07:02-DRB1*10:01  Israel Georgia Jews 0.02244,471
 97  A*01:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.021311,446
 98  A*32:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.02134,204
 99  A*01:01-B*07:02-DRB1*10:01  Israel Morocco Jews 0.021236,718
 100  A*02:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403

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 177) 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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