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 1,862) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 19  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*03:02-B*44:03-DRB1*07:01  Israel Bukhara Jews 8.37002,317
 2  A*23:01-B*44:03-DRB1*07:01  Israel YemenJews 7.930015,542
 3  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India East UCBB 5.40472,403
 4  A*02:01:01-B*44:03:01-DRB1*07:01:01  Portugal North 5.400046
 5  A*33:03-B*44:03-DRB1*07:01  Malaysia Kelantan 5.357128
 6  A*29-B*44-DRB1*07:01-DQB1*02  Spain Arratia Valley Basque 5.300083
 7  A*29-B*44-DRB1*07:01-DRB4*01:01-DQA1*02:01-DQB1*02:02  Spain Murcia 5.1000173
 8  A*23-B*44-C*04:01-DRB1*07:01-DQB1*02  Russia Transbaikal Territory Buryats 4.6670150
 9  A*01:01:01-B*44:03:01-DRB1*07:01:01  Portugal Center 4.500050
 10  A*02-B*44-DRB1*07:01-DQB1*02  Cuba Mixed 4.400078
 11  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Tunisia 4.0000100
 12  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Colombia North Wiwa El Encanto 3.846252
 13  A*29:02-B*44:03-DRB1*07:01  Azores Oriental Islands 3.800043
 14  A*29-B*44-DRB1*07:01-DQB1*02  Cuba Mixed 3.800078
 15  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Northeast UCBB 3.7162296
 16  A*33:03-B*44:03-DRB1*07:01  Malaysia Champa 3.448329
 17  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 3.42004,335
 18  A*23-B*44-DRB1*07:01-DQB1*02  Cuba Mixed 3.200078
 19  B*44:03-DRB1*07:01-DQB1*02:01/02:02  South Korea pop 3 3.2000485
 20  B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 3.1469143
 21  B*44:03-C*07:01/07:06-DRB1*07:01  South Korea pop 3 3.1000485
 22  A*02:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Tunisia 3.0000100
 23  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
 24  B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Ireland South 3.0000250
 25  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
 26  A*33:03-B*44:03-DRB1*07:01  South Korea pop 3 2.9000485
 27  A*33-B*44-DRB1*07:01  South Korea pop 1 2.8000324
 28  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
 29  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 2.7972143
 30  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India West UCBB 2.79385,829
 31  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - Spain minority 2.77801,107
 32  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA NMDP Caribean Indian 2.759314,339
 33  A*03:01-B*44:03-DRB1*07:01  Azores Central Islands 2.700059
 34  A*11-B*44-DRB1*07:01-DQB1*02  Spain Arratia Valley Basque 2.700083
 35  A*29-B*44-DRB1*07:01-DQB1*02  Spain Pas Valley 2.700088
 36  A*29-B*44-DRB1*07:01  Colombia Barranquilla 2.6600188
 37  A*02:01-B*44:02-DRB1*07:01  Azores Oriental Islands 2.600043
 38  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  Vietnam Hanoi Kinh pop 2 2.6000170
 39  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Korean 2.596977,584
 40  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Central UCBB 2.58154,204
 41  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
 42  A*33:03-B*44:03-DRB1*07:01  South Korea pop 10 2.46004,128
 43  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Kosovo 2.4190124
 44  A*32:01-B*44:03-C*04:01-DRB1*07:01  Russia Bering Island Aleuts 2.4038104
 45  A*02-B*44-DRB1*07:01-DQB1*02:02  Tunisia Ghannouch 2.400082
 46  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India South UCBB 2.381211,446
 47  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
 48  A*29:02-B*44:03-C*16:01-DRB1*07:01  USA Spain Ancestry 2.3300279
 49  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 2.30612,492
 50  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01  Costa Rica Amerindians (G) 2.2681125
 51  A*02-B*44-DRB1*07:01-DQB1*02  Spain North Cabuerniga 2.200095
 52  A*29:02:01-B*44:03-C*16:01:01-DRB1*07:01:01-DQB1*02:01  England North West 2.2000298
 53  A*29:02-B*44:03:01-DRB1*07:01:01  Portugal North 2.200046
 54  A*29-B*44-DRB1*07:01-DQB1*02  Spain North Cabuerniga 2.200095
 55  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India North UCBB 2.18365,849
 56  A*29-B*44-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 2.1611641
 57  A*29-B*44-DRB1*07:01  Chile Santiago 2.1165920
 58  A*29:02-B*44:03-DRB1*07:01  Ireland Northern 2.10001,000
 59  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01  China Jingpo Minority 2.0830105
 60  A*33:03:01-B*44:03:02-DRB1*07:01:01  China Jingpo Minority 2.0830105
 61  B*44:03:02-C*07:01:01-DRB1*07:01:01  China Jingpo Minority 2.0830105
 62  B*44:03:02-DRB1*07:01:01  China Jingpo Minority 2.0830105
 63  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - France minority 2.04201,406
 64  A*01:01:01-B*44:03:01-DRB1*07:01:01  Portugal South 2.000049
 65  A*02:01:01-B*44:03:01-DRB1*07:01:01  Portugal Center 2.000050
 66  A*02:03-B*44:03-DRB1*07:01  Malaysia Patani 2.000025
 67  A*29:02-B*44:03:01-DRB1*07:01:01  Portugal South 2.000049
 68  A*29:02-B*44:03:01-DRB1*07:01:01  Madeira 1.9000185
 69  A*02:11-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India North UCBB 1.89865,849
 70  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Vietnamese 1.880143,540
 71  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 1.87691,463
 72  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 1.8600215
 73  A*02:11-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Northeast UCBB 1.8581296
 74  A*11:01-B*44:03-DRB1*07:01  Malaysia Mandailing 1.851927
 75  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  USA San Diego 1.8230496
 76  A*02:01-B*44:03-DRB1*07:01  Azores Central Islands 1.800059
 77  A*02-B*44-DRB1*07:01-DQB1*02  Spain North Cantabria 1.800083
 78  A*24-B*44-DRB1*07:01-DQA1*02-DQB1*02  Russia Tuva 1.8000190
 79  A*24-B*44-DRB1*07:01-DQB1*02:01  Russia Chuvash 1.800082
 80  A*29-B*44-DRB1*07:01  USA NMDP Hispanic 1.8000449,844
 81  A*01:01-B*44:10-DRB1*07:01-DQB1*03:01  Iran Yazd 1.785756
 82  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 1.7647170
 83  A*02:01-B*44:03-DRB1*07:01  Israel Libya Jews 1.75003,739
 84  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 1.7240174
 85  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 1.72001,999
 86  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Hispanic South or Central American 1.6788146,714
 87  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - Portugal minority 1.64601,176
 88  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 1.6150356
 89  A*01:01:01-B*44:03:01-DRB1*07:01:01  Cape Verde Southeastern Islands 1.600062
 90  A*24-B*44-DRB1*07:01-DQB1*02  Spain Pas Valley 1.600088
 91  A*29-B*44-DRB1*07:01  USA NMDP Caucasian 1.60002,361,208
 92  A*33-B*44-DRB1*07:01  USA NMDP Asian and Pacific Islander 1.6000359,423
 93  A*68:02-B*44:02-DRB1*07:01-DQB1*02:02  Tunisia Gabes 1.570095
 94  A*69:01-B*44:02-DRB1*07:01-DQB1*02:02  Tunisia Gabes 1.570095
 95  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP European Caucasian 1.56711,242,890
 96  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - United Kingdom minority 1.56301,043
 97  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA Asian pop 2 1.50401,772
 98  A*02-B*44-DRB1*07:01-DRB4*01:01-DQA1*02:01-DQB1*02:02  Spain Murcia 1.5000173
 99  A*24-B*44-DRB1*07:01-DQB1*02  Spain North Cabuerniga 1.500095
 100  A*02:01:01-B*44:03:01-C*16:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668

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 1,862) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 19  


   

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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