Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 6,385) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 64  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*30-B*18-C*05:01  Italy Sardinia pop3 12.5000100
 2  A*30:01-B*42:01  Zambia Lusaka 11.600044
 3  A*30:01-B*42:01-C*17:01  Zambia Lusaka 11.600044
 4  A*30-B*13-C*06:02  Pakistan Karachi Parsi 11.000091
 5  A*30:01-B*42:01  Mali Bandiagara 10.4000138
 6  A*30:01-B*42:01-C*17:01  Mali Bandiagara 10.4000138
 7  A*30-B*49-C*07:01-DRB1*13-DQB1*06  Russia North Ossetian 9.0200127
 8  A*30:01-B*13:02-DRB1*07:01  China Jiangsu Han 8.87003,238
 9  A*30:01-B*13:02-DRB1*07:01  China Jiangsu Province Han 8.5400334
 10  A*30-B*13-DRB1*07  Pakistan Karachi Parsi 8.300091
 11  A*30:01-B*13:02-DRB1*10:01  Malaysia Patani 8.000025
 12  A*30-B*13-DRB1*07  China Jiangsu Province 6.900020,248
 13  A*30-B*13  Pakistan Kalash 6.500069
 14  A*30-B*13-C*06:02  Pakistan Kalash 6.500069
 15  A*30-B*18-C*05:01  Spain Gipuzkoa Basque 6.1000100
 16  A*30:01-B*42:01  South Africa Natal Zulu 6.0000100
 17  A*30:02-B*53:01  Zambia Lusaka 5.800044
 18  A*30:02-B*53:01-C*04:01  Zambia Lusaka 5.800044
 19  A*30:02-B*35:01:01-DRB1*10:01  Cape Verde Northwestern Islands 5.600062
 20  A*30:01-B*13:02-DRB1*07:01  Israel Bukhara Jews 5.38002,317
 21  A*30-B*42-DRB1*03  Mozambique 4.9000202
 22  A*30:02-B*57:03  Zambia Lusaka 4.700044
 23  A*30:02-B*57:03-C*18:01  Zambia Lusaka 4.700044
 24  A*30-B*53-DRB1*13-DQB1*06  Mexico Colima Rural 4.545543
 25  A*30:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - China minority 4.51801,282
 26  A*30:01-B*42:01-C*17:01-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 4.5000100
 27  A*30-B*18-DRB1*03:01-DQB1*02  Mexico Mexico City West 4.411833
 28  A*30-B*13-DRB1*11  Pakistan Kalash 4.300069
 29  A*30:02-B*18:01:01-DRB1*03:01:01  Portugal South 4.100049
 30  A*30-B*13-DRB1*07  China Shaanxi Province Han 4.100010,000
 31  A*30-B*13  Pakistan Mixed Pathan 4.0000100
 32  A*30-B*47  South Korea pop 8 4.00007,096
 33  A*30:01-B*38:01-DRB1*11:04  Israel Bukhara Jews 3.92002,317
 34  A*30:02-B*53:01-DRB1*03:01  Israel Iran Jews 3.92008,153
 35  A*30:01-B*13:02-C*06:02-DRB1*07:01  Taiwan pop 2 3.9000364
 36  A*30-B*13-C*06:02  Pakistan Mixed Pathan 3.9000100
 37  A*30:01-B*49:01-DRB1*08:04  Israel Ethiopia Jews 3.70005,928
 38  A*30-B*13-DRB1*07-DQB1*02  Mexico Morelos, Cuernavaca 3.658582
 39  A*30-B*18-DRB1*03:01-DRB3*02:02-DQA1*05:01-DQB1*02:01  Spain Murcia 3.5000173
 40  A*30-B*58  Mongolia Tarialan Khoton 3.500085
 41  A*30-B*13-DRB1*07-DQB1*02  Mexico Veracruz, Orizaba 3.333360
 42  A*30-B*18-DRB1*03:01-DQB1*02  Mexico Morelos Rural 3.333330
 43  A*30:01-B*42:01-C*17:01-DRB1*03:02  South Africa Black 3.3300200
 44  A*30-B*50-DRB1*01-DQB1*05  Mexico Campeche Rural 3.191547
 45  A*30:01-B*42:01-C*17:01-DRB1*03:02  Brazil Vale do Ribeira Quilombos 3.1250144
 46  A*30-B*18-DRB1*03:01-DQB1*02  Mexico Nayarit Rural 3.125064
 47  A*30:01-B*13:01-C*06:03  India Khandesh Region Pawra 3.100050
 48  A*30:01-B*13:02-C*06:02  South Korea pop 3 3.1000485
 49  A*30:02-B*58:02-DRB1*03:02  Sao Tome Island Angolar 3.100032
 50  A*30:01:01-B*42:01:01-C*17:01:01  South African Mixed ancestry 3.000050
 51  A*30:02-B*18:01  Tunisia 3.0000100
 52  A*30-B*15  Venezuela Caracas Mestizo 3.000050
 53  A*30-B*58:01-C*07  France Corsica Island 3.0000100
 54  A*30:01-B*42:01  USA African American pop 4 2.96302,411
 55  A*30-B*18-DRB1*03:01-DQB1*02  Mexico Sinaloa, Culiacán 2.9126103
 56  A*30:01-B*42:01  Kenya Nandi 2.9000240
 57  A*30:01-B*42:01-C*17:01  Kenya Nandi 2.9000240
 58  A*30:01-B*42:01-C*17:01  Morocco Settat Chaouya 2.900098
 59  A*30:02-B*18:01  Cuba Caucasian 2.900070
 60  A*30-B*15-C*04-DRB1*11:01-DQB1*03:01  Rwanda 2.9000280
 61  A*30:01-B*13:02  India West Coast Parsi 2.800050
 62  A*30-B*13-C*06:02  South Korea pop 1 2.8000324
 63  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01/02:02  South Korea pop 3 2.7000485
 64  A*30:01-B*13:02-DRB1*07:01  South Korea pop 3 2.7000485
 65  A*30-B*13-DRB1*07-DQB1*02  Mexico Morelos state 2.6786112
 66  A*30:01-B*42:01-C*17:01  USA African American 2.6000252
 67  A*30:02-B*18:01-DRB1*03:01  Azores Oriental Islands 2.600043
 68  A*30:01-B*41:02-DRB1*13:03  Israel Libya Jews 2.58003,739
 69  A*30:02:01-B*18:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 2.5600215
 70  A*30:01-B*42:01  USA African American 2.5000252
 71  A*30:02-B*08:01  South Africa Natal Zulu 2.5000100
 72  A*30:02-C*04:01  Tunisia 2.5000100
 73  A*30:02-C*05:01  Tunisia 2.5000100
 74  A*30-B*13-DRB1*07  Pakistan Mixed Pathan 2.5000100
 75  A*30-B*53-DRB1*03  Pakistan Brahui 2.5000104
 76  A*30-B*57:03-C*07-DRB1*13:03-DQB1*03:01  Rwanda 2.5000280
 77  A*30-B*08-DRB1*13-DQB1*03:01  Mexico Colima, Colima city 2.459061
 78  A*30-B*13-DRB1*07-DQB1*02  Mexico Sonora, Ciudad Obregón 2.4476143
 79  A*30:01-B*14:01  India West Coast Parsi 2.400050
 80  A*30:02-B*08:01-DRB1*04:01:01  Cape Verde Northwestern Islands 2.400062
 81  A*30:02-B*18:01:01-DRB1*03:01:01  Cape Verde Southeastern Islands 2.400062
 82  A*30-B*53  Pakistan Brahui 2.4000104
 83  A*30:02-B*40:02-DRB1*14:04  Israel Druze 2.38005,914
 84  A*30-B*13-DRB1*04-DQB1*03:02  Mexico Queretaro Rural 2.325643
 85  A*30-B*27-DRB1*15-DQB1*06  Mexico Queretaro Rural 2.325643
 86  A*30:01-B*13:02-DRB1*07:01  China Beijing Shijiazhuang Tianjian Han 2.3000618
 87  A*30:01-B*42:01  Kenya Luo 2.3000265
 88  A*30:02-B*81:01  Zambia Lusaka 2.300044
 89  A*30:02-B*81:01-C*07:04  Zambia Lusaka 2.300044
 90  A*30-B*42-DRB1*11-DQB1*03:01  Mexico Guanajuato, Guanajuato city 2.272722
 91  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Korean 2.25849777,584
 92  A*30:02-B*53:01-DRB1*13:02  Israel Iran Jews 2.23008,153
 93  A*30:02-B*45:01-C*16:01-DRB1*01:02  South Africa Black 2.2200200
 94  A*30-B*18-C*05:01  Spain Majorca and Minorca 2.200090
 95  A*30:01-B*13:02-DRB1*07:01  South Korea pop 10 2.19004,128
 96  A*30:02-B*38:01-DRB1*14:01  Israel Bukhara Jews 2.13002,317
 97  A*30-B*14:02-DRB1*01-DQB1*05  Mexico Campeche Rural 2.127747
 98  A*30:01-B*42:01-C*17:01  Kenya Luo 2.1000265
 99  A*30:02-B*44:03-C*07:01-DRB1*08:04  Brazil Vale do Ribeira Quilombos 2.0833144
 100  A*30-DRB1*03  Morocco pop 2 2.0800110

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 6,385) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 64  


   

Allele frequency net 2015 update: new features for HLA epitopes, KIR and disease and HLA adverse drug reaction associations.
Gonzalez-Galarza FF, Takeshita LY, Santos EJ, Kempson F, Maia MH, Silva AL, Silva AL, Ghattaoraya GS, Alfirevic A, Jones AR and Middleton D Nucleic Acid Research 2015, 39, 28, D784-8.
Liverpool, U.K.

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