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 4,654) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 47  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*33:03-B*44:03-C*14:03  Japan pop 5 10.7000117
 2  B*44:03-C*14:03  Japan Central 8.6000371
 3  A*03:02-B*44:03-DRB1*07:01  Israel Bukhara Jews 8.37002,317
 4  A*23:01-B*44:03-DRB1*07:01  Israel YemenJews 7.930015,542
 5  A*11:01:01-B*44:03:02-C*07:06  South African Indian population 6.000050
 6  A*02:01:01-B*44:03:01-DRB1*07:01:01  Portugal North 5.400046
 7  A*33:03-B*44:03-DRB1*07:01  Malaysia Kelantan 5.357128
 8  A*33:03:01-B*44:03:02-C*07:06  South African Indian population 5.000050
 9  A*33:03-B*44:03-C*14:03  South Korea pop 3 4.7000485
 10  B*44:03-C*16:01  Ireland Northern 4.70001,000
 11  A*33:03-B*44:03-DRB1*13:02  South Korea pop 3 4.6000485
 12  A*33:03-B*44:03-DRB1*13:02  South Korea pop 10 4.60004,128
 13  B*44:03-DRB1*13:02-DQB1*06:04  South Korea pop 3 4.6000485
 14  A*01:01:01-B*44:03:01-DRB1*07:01:01  Portugal Center 4.500050
 15  A*29:02-B*44:03  South Africa Natal Zulu 4.5000100
 16  B*44:03-C*14:03-DRB1*13:02  South Korea pop 3 4.5000485
 17  A*33:03-B*44:03-C*14:03-DRB1*13:02  Japan pop 16 4.473018,604
 18  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04  South Korea pop 3 4.2000485
 19  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Tunisia 4.0000100
 20  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Japanese 3.926724,582
 21  B*44:03:02-C*07:01:01  China Jingpo Minority 3.9220105
 22  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Colombia North Wiwa El Encanto 3.846252
 23  A*29:02-B*44:03-DRB1*07:01  Azores Oriental Islands 3.800043
 24  B*44:03-C*16:01  USA Hispanic 3.8000234
 25  A*29:02-B*44:03  Cuba Caucasian 3.600070
 26  A*33:03-B*44:03  USA Asian 3.6000358
 27  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04-DPB1*04:01  Japan Central 3.6000371
 28  B*44:03-C*16:01  Mexico Mexico City Mestizo population 3.4965143
 29  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Korean 3.491577,584
 30  A*33:03:01-B*44:03:02  China Jingpo Minority 3.4650105
 31  A*33:03:01-B*44:03:02-C*07:01:01  China Jingpo Minority 3.4650105
 32  A*33:03-B*44:03-DRB1*07:01  Malaysia Champa 3.448329
 33  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 3.42004,335
 34  B*44:03-C*16:01  USA Hispanic pop 2 3.31101,999
 35  B*44:03-DRB1*07:01-DQB1*02:01/02:02  South Korea pop 3 3.2000485
 36  B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 3.1469143
 37  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*04:01  Japan pop 17 3.13003,078
 38  A*33:03-B*44:03-C*07:01/07:06  South Korea pop 3 3.1000485
 39  B*44:03-C*07:01/07:06-DRB1*07:01  South Korea pop 3 3.1000485
 40  A*02:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Tunisia 3.0000100
 41  A*29:02-B*44:03  USA Hispanic 3.0000234
 42  A*33:03-B*44:03-C*07:01/07:06-DRB1*07:01-DQB1*02:01/02:02  South Korea pop 3 3.0000485
 43  A*34:02-B*44:03  South Africa Natal Zulu 3.0000100
 44  B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Ireland South 3.0000250
 45  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Caribean Hispanic 2.9433115,374
 46  A*33:03-B*44:03  USA Asian pop 2 2.93801,772
 47  A*29:02-B*44:03  Ireland Northern 2.90001,000
 48  A*29:02-B*44:03:01-C*16:01  Morocco Settat Chaouya 2.900098
 49  A*33:03-B*44:03-DRB1*07:01  South Korea pop 3 2.9000485
 50  B*44:03-C*04:01  USA African American pop 4 2.88802,411
 51  A*29:02-B*44:03-C*16:01  Ireland Northern 2.80001,000
 52  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP South Asian Indian 2.7980185,391
 53  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 2.7972143
 54  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - Spain minority 2.77801,107
 55  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA NMDP Caribean Indian 2.759314,339
 56  A*03:01-B*44:03-DRB1*07:01  Azores Central Islands 2.700059
 57  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  Vietnam Hanoi Kinh pop 2 2.6000170
 58  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Korean 2.596977,584
 59  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India UCBB_Central Indian HLA 2.58154,204
 60  B*44:03-C*07:01  USA Asian pop 2 2.55801,772
 61  A*29:02-B*44:03  USA Hispanic pop 2 2.54201,999
 62  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Southeast Asian 2.512727,978
 63  A*23:01-B*44:03  Uganda Kampala 2.5000161
 64  A*29:02-B*44:03-C*16:01  USA San Francisco Caucasian 2.5000220
 65  B*44:03-C*04:01  Uganda Kampala 2.5000161
 66  B*44:03-C*16:01  Tunisia 2.5000100
 67  A*33:03-B*44:03-DRB1*07:01  South Korea pop 10 2.46004,128
 68  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Kosovo 2.4190124
 69  A*32:01-B*44:03-C*04:01-DRB1*07:01  Russia Bering Island Aleuts 2.4038104
 70  A*29:02-B*44:03-C*16:01  USA Hispanic 2.4000234
 71  B*44:03-C*14:03  USA Asian 2.4000358
 72  A*01:01:01-B*44:03:02-C*07:01:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 2.381073
 73  A*02:01:01-B*44:03:01-C*15:05:02-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Black 2.381073
 74  A*02:05:01-B*44:03:01-C*04:01:01-DRB1*13:02:01-DQB1*03:02:01-DPA1*02:01:07-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 2.381073
 75  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*04:05:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Black 2.381073
 76  A*29:02-B*44:03-C*16:01-DRB1*07:01  USA Spain Ancestry 2.3300279
 77  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 2.30612,492
 78  A*02:01:01-B*44:03:01-DRB1*16:02:01  Guinea Bissau 2.300065
 79  A*29:02-B*44:03  Zambia Lusaka 2.300044
 80  A*29:02-B*44:03-C*07:01  Zambia Lusaka 2.300044
 81  B*44:03-C*07:01  Zambia Lusaka 2.300044
 82  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01  Costa Rica Amerindians (G) 2.2681125
 83  A*29:02:01-B*44:03:01-C*16:01:01  England Blood Donors of Mixed Ethnicity 2.2144519
 84  A*29:02:01-B*44:03-C*16:01:01-DRB1*07:01:01-DQB1*02:01  England North West 2.2000298
 85  A*29:02-B*44:03:01-DRB1*07:01:01  Portugal North 2.200046
 86  A*33:03-B*44:03-DRB1*13:02  China Jiangsu Han 2.14003,238
 87  A*29:02-B*44:03:01-C*16:01-DRB1*15:01:01-DQA1*01:02-DQB1*06:02  Morocco Atlantic Coast Chaouya 2.100098
 88  A*29:02-B*44:03-DRB1*07:01  Ireland Northern 2.10001,000
 89  A*33:03-B*44:03-C*14:03  USA Asian 2.1000358
 90  A*30:02-B*44:03-C*07:01-DRB1*08:04  Brazil Vale do Ribeira Quilombos 2.0833144
 91  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01  China Jingpo Minority 2.0830105
 92  A*33:03:01-B*44:03:02-DRB1*07:01:01  China Jingpo Minority 2.0830105
 93  B*44:03:02-C*07:01:01-DRB1*07:01:01  China Jingpo Minority 2.0830105
 94  B*44:03:02-DRB1*07:01:01  China Jingpo Minority 2.0830105
 95  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - France minority 2.04201,406
 96  A*01:01:01-B*44:03:01-DRB1*07:01:01  Portugal South 2.000049
 97  A*02:01:01-B*44:03:01-DRB1*07:01:01  Portugal Center 2.000050
 98  A*02:03-B*44:03-DRB1*07:01  Malaysia Patani 2.000025
 99  A*23:01-B*44:03:01-DRB1*13:03  Portugal South 2.000049
 100  A*29:01-B*44:03:01  Tunisia 2.0000100

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 4,654) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 47  


   

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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