Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 1,516) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 16  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DPA1*01:03-DPB1*04:02  Ecuador Cayapa 45.8000183
 2  A*68:01-B*39:09-C*07:02-DRB1*04:11-DQA1*03:01:01-DQB1*03:02-DPA1*01-DPB1*04:02  Venezuela Sierra de Perija Yucpa 33.700073
 3  DRB1*08:02:01-DQB1*04:02-DPB1*04:02  Mexico Chihuahua Tarahumara 27.900044
 4  DRB1*07:01-DQB1*02-DPB1*04:02  Central African Republic Aka Pygmy 21.600093
 5  DPA1*03:01-DPB1*04:02  Uganda Baganda 21.300047
 6  A*02:04-B*39:05-C*07:02-DRB1*04:11-DQA1*03:01:01-DQB1*03:02-DPA1*01-DPB1*04:02  Venezuela Sierra de Perija Yucpa 19.800073
 7  DPA1*03:01-DPB1*04:02  Cameroon Saa 18.0000172
 8  DPA1*01:03-DPB1*04:02  Russia Tuva pop 2 15.4000169
 9  DPA1*01:03-DPB1*04:02  France Ceph 13.0000124
 10  DPA1*03:01-DPB1*04:02  Ecuador African 12.900058
 11  A*31:01-B*40:02-C*03:04-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 12.1560218
 12  DRB1*14:02-DQB1*03:01-DPB1*04:02  Mexico Chihuahua Tarahumara 11.900044
 13  DRB1*04:07:01-DQB1*03:02/03:07-DPB1*04:02  Mexico Chihuahua Tarahumara 11.400044
 14  DRB1*12:01-DQB1*05:01-DPB1*04:02  Central African Republic Aka Pygmy 11.100093
 15  A*24:02-B*39:05-C*07:02-DRB1*04:03-DQA1*03:01:01-DQB1*03:02-DPA1*01-DPB1*04:02  Venezuela Sierra de Perija Yucpa 9.300073
 16  DRB1*11:04-DQB1*03:01-DPB1*04:02  Greece pop3 8.4000246
 17  A*24:02:01-B*15:01-C*01:02-DRB1*14:02-DQB1*03:01-DPB1*04:02  Mexico Chihuahua Tarahumara 8.000044
 18  DRB1*03:01-DQB1*02-DPB1*04:02  Central African Republic Aka Pygmy 7.500093
 19  DRB1*15:03-DQB1*06:02-DPB1*04:02  Central African Republic Aka Pygmy 7.200093
 20  A*24:02-B*35:12-C*04:01-DRB1*16:02-DQA1*05:01-DQB1*03:01-DPA1*01-DPB1*04:02  Venezuela Sierra de Perija Yucpa 7.000073
 21  DPA1*01:03-DPB1*04:02  Japan Fukuoka 7.000086
 22  A*02:03:01-B*52:01:01-C*07:02:01-DRB1*14:04-DQB1*05:03:01-DPB1*04:02  China Yunnan Province Lisu 6.7000111
 23  DPA1*03:01-DPB1*04:02  Gambia 5.8000146
 24  DPA1*01:03-DPB1*04:02  India Bombay 5.700059
 25  DRB1*15:02-DPA1*01-DPB1*04:02  Mongolia Tarialan Khoton 5.700085
 26  DRB1*15-DQB1*06:02-DPB1*04:02  Congo Kinshasa Bantu 5.600090
 27  DRB1*14:04-DQB1*05:03:01-DPB1*04:02  China Lijiang Naxi 5.3000100
 28  DRB1*15:02-DQB1*06:01-DPB1*04:02  Mongolia Tarialan Khoton 5.200085
 29  A*02:01:01/02:01:09-B*40:05-C*03:04-DRB1*08:02:01-DQB1*04:02-DPB1*04:02  Mexico Chihuahua Tarahumara 5.100044
 30  DRB1*01:01-DPA1*01-DPB1*04:02  Mongolia Tarialan Khoton 4.700085
 31  DRB1*01:01-DQB1*05:01-DPB1*04:02  Mongolia Tarialan Khoton 4.700085
 32  A*31:01:02-B*51:02:01-C*08:01-DRB1*08:02:01-DQB1*04:02-DPB1*04:02  Mexico Chihuahua Tarahumara 4.600044
 33  DRB1*09:01:02-DQB1*03:03:02-DPB1*04:02  Mexico Chihuahua Tarahumara 4.600044
 34  A*02:06-B*35:01-C*07:02-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 4.5872218
 35  DRB1*07:01-DQA1*02:01-DPA1*01:03-DPB1*04:02  Spain Catalonia Girona 4.300088
 36  A*24:02-B*35:12-C*04:01-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 4.1284218
 37  A*68:01-B*39:05-C*07:02-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 4.1284218
 38  A*68:01-B*40:08-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 4.1284218
 39  A*68:03-B*35:01-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 4.1284218
 40  DQB1*03:01-DPB1*04:02:01  China Inner Mongolia Autonomous Region Northeast 4.0670496
 41  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:02  Japan Central 4.0000371
 42  DRB1*11-DQB1*03:01-DPB1*04:02  Central African Republic Aka Pygmy 3.700093
 43  DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  South Korea pop 2 3.5000207
 44  DRB1*04:01-DPA1*01-DPB1*04:02  Mongolia Tarialan Khoton 3.500085
 45  A*68:03-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 3.4404218
 46  A*02:01:01/02:01:09-B*35:01/35:02/35:03-C*03:04-DRB1*08:02:01-DQB1*04:02-DPB1*04:02  Mexico Chihuahua Tarahumara 3.400044
 47  A*24:02:01-B*40:02-C*03:04-DRB1*08:02:01-DQB1*04:02-DPB1*04:02  Mexico Chihuahua Tarahumara 3.400044
 48  A*68:01-B*51:02:01-C*08:01-DRB1*08:02:01-DQB1*04:02-DPB1*04:02  Mexico Chihuahua Tarahumara 3.400044
 49  DRB1*04:03:01-DQB1*03:02/03:07-DPB1*04:02  Mexico Chihuahua Tarahumara 3.400044
 50  DRB1*04:01-DQB1*03:01-DPB1*04:02  Mongolia Tarialan Khoton 3.300085
 51  DPA1*01:03-DPB1*04:02  Uganda Baganda 3.200047
 52  DPA1*04:01-DPB1*04:02  Uganda Baganda 3.200047
 53  DRB1*16:01-DQB1*05:02-DPB1*04:02  Greece pop3 3.2000246
 54  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 3.19003,078
 55  DRB1*01:01-DQB1*05:01-DPB1*04:02  South Korea pop 1 3.1000324
 56  DPA1*04:01-DPB1*04:02  Cameroon Saa 2.9000172
 57  DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  South Korea pop 1 2.9000324
 58  DPA1*02:02:01-DPB1*04:02  India Bombay 2.800059
 59  A*02:03:01-B*52:01:01-C*07:02:01-DRB1*14:04-DQB1*03:01:01-DPB1*04:02  China Yunnan Province Nu 2.6000107
 60  DPA1*01:03-DPB1*04:02  Ecuador African 2.600058
 61  DRB1*12:02:01-DQB1*03:01:01-DPB1*04:02  China Lijiang Naxi 2.6000100
 62  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 2.5210119
 63  DRB1*01:01-DQB1*05:01-DPB1*04:02  Ireland South 2.4000250
 64  A*02:04-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Black 2.381073
 65  A*24:02:01-B*51:01:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Black 2.381073
 66  A*31:01:02-B*15:04:01-C*03:03:01-DRB1*14:02:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Black 2.381073
 67  A*32:01:01-B*39:09:01-C*07:02:01-DRB1*08:02:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Black 2.381073
 68  A*66:01:01-B*58:02:01-C*06:02:01-DRB1*08:07-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Black 2.381073
 69  A*24:02-B*40:04-C*03:02/03:04-DRB1*14:02-DQA1*05:01-DQB1*03:01-DPA1*02-DPB1*04:02  Venezuela Sierra de Perija Yucpa 2.300073
 70  DQB1*03:03-DPB1*04:02:01  China Inner Mongolia Autonomous Region Northeast 2.1960496
 71  A*02:01-B*35:12-C*04:01-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 2.0642218
 72  DPA1*01:03:01-DPB1*04:02  Cook Islands 2.000050
 73  DPA1*01:03:01-DPB1*04:02  Samoa pop2 2.000050
 74  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Russia Karelia 1.88471,075
 75  DRB1*15:01-DRB5*01:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  USA San Francisco Caucasian 1.8000220
 76  DRB1*15:01-DRB5*01:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  USA San Francisco Caucasian 1.8000220
 77  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 1.7316339
 78  A*02:03:01-B*52:01:01-C*07:02:01-DRB1*14:04-DQB1*03:01:01-DPB1*04:02  China Yunnan Province Lisu 1.7000111
 79  A*02:07-B*46:01-C*01:02:01-DRB1*08:03:02-DQB1*06:01:01-DPB1*04:02  China Yunnan Province Nu 1.7000107
 80  A*11:01:01-B*40-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01-DPB1*04:02  China Yunnan Province Nu 1.7000107
 81  DPA1*03:02-DPB1*04:02  Cameroon Saa 1.7000172
 82  DRB1*09:01:02-DPB1*04:02:01  China Inner Mongolia Autonomous Region Northeast 1.6530496
 83  DRB1*09:01:02-DQB1*03:03-DPB1*04:02:01  China Inner Mongolia Autonomous Region Northeast 1.6270496
 84  A*02:01-B*18:01-C*07:01-DRB1*11:04-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 1.6055218
 85  DPA1*01:03-DPB1*04:02  Spain Navarre Basques 1.6000116
 86  A*74:01-B*58:02-C*06:02-DRB1*11:02-DQA1*05:01-DQB1*03:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 1.5000100
 87  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPB1*04:02  South Korea pop 2 1.5000207
 88  A*11:01:01-B*44:02:01-C*15:02:01-DRB1*04:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Black 1.470668
 89  A*23:01:01-B*58:01:01-C*07:18:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Black 1.470668
 90  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*04:02:01  Brazil Rio de Janeiro Black 1.470668
 91  A*31:01:02-B*35:01:01-C*07:01:01-DRB1*07:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Black 1.470668
 92  DRB1*11:01:01-DQB1*03:01-DPB1*04:02:01  China Inner Mongolia Autonomous Region Northeast 1.4600496
 93  A*02:06-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 1.3761218
 94  DRB1*11:01:01-DPB1*04:02:01  China Inner Mongolia Autonomous Region Northeast 1.3530496
 95  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 1.3072153
 96  A*68:01-B*58:02-C*06:02-DRB1*07:01-DQA1*03:01-DQB1*02:02-DPB1*04:02  South Africa Worcester 1.3000159
 97  DRB1*03:01-DQB1*02:01-DPB1*04:02  Greece pop3 1.3000246
 98  DRB1*07:01-DRB4*01:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  USA San Francisco Caucasian 1.3000220
 99  DRB1*07:01-DRB4*01:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  USA San Francisco Caucasian 1.3000220
 100  DRB1*04:01:01-DPB1*04:02:01  China Inner Mongolia Autonomous Region Northeast 1.2120496

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 1,516) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 16  


   

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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional