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 646) records   Pages: 1 2 3 4 5 6 7 of 7  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Morelos Rural 5.000030
 2  A*24:02-B*15:01-C*01:02-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 4.807752
 3  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Coahuila, Saltillo 3.424772
 4  A*24-B*15:01-DRB1*04-DQB1*03:02  Mexico Morelos Rural 3.333330
 5  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 3.278761
 6  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Mexico City North 3.1208751
 7  B*15:01-DRB1*04:06-DQB1*03:02  South Korea pop 3 2.7000485
 8  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico San Luis Potosi Rural 2.298987
 9  A*68-B*15:01-DRB1*04-DQB1*03:02  Mexico Colima Rural 2.272743
 10  A*11-B*15:01-DRB1*04-DQB1*03:02  Mexico Veracruz, Poza Rica 2.222245
 11  A*31:01:02-B*15:01-DRB1*04:03-DQB1*03:02  USA South Dakota Lakota Sioux 2.2000302
 12  A*24-B*15:01-DRB1*04-DQB1*03:02  Mexico Campeche Rural 2.127747
 13  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Quintana Roo, Cancun 2.083348
 14  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Baja California, Tijuana 2.000025
 15  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Mexico City Metropolitan Area Rural 1.9737150
 16  A*31-B*15:01-DRB1*04-DQB1*03:02  Mexico Sinaloa, Culiacán 1.9417103
 17  A*31-B*15:01-DRB1*04-DQB1*03:02  Mexico Morelos, Cuernavaca 1.829382
 18  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Sinaloa Mestizo 1.800056
 19  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Veracruz, Orizaba 1.666760
 20  A*11:01-B*15:01-C*04:01-DRB1*04:06-DRB4*01:01-DQB1*03:02  USA NMDP Korean 1.641877,584
 21  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Sinaloa Rural 1.6393183
 22  B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Ireland South 1.6000250
 23  B*15:01-DRB1*04:03-DQB1*03:02  South Korea pop 3 1.6000485
 24  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Durango Rural 1.5291326
 25  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Puebla Mestizo 1.500099
 26  A*68-B*15:01-DRB1*04-DQB1*03:02  Mexico Campeche, Campeche city 1.470634
 27  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Sinaloa, Culiacán 1.4563103
 28  A*68-B*15:01-DRB1*04-DQB1*03:02  Mexico Jalisco, Tonala 1.428635
 29  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Chihuahua, Ciudad Juarez 1.3889106
 30  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Tlaxcala Rural 1.3253830
 31  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Oaxaca, Oaxaca city 1.3245151
 32  A*68-B*15:01-DRB1*04-DQB1*03:02  Mexico Yucatan, Merida 1.2821192
 33  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Mexico City East 1.250079
 34  A*68-B*15:01-DRB1*04-DQB1*03:02  Mexico Mexico City East 1.250079
 35  A*24-B*15:01-DRB1*04-DQB1*03:02  Mexico Hidalgo Rural 1.234681
 36  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Guanajuato Rural 1.2270162
 37  A*31-B*15:01-DRB1*04-DQB1*03:02  Mexico Tabasco, Villahermosa 1.219582
 38  A*11:01-B*15:01-C*04:01-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 1.20003,078
 39  A*11:01-B*15:01-C*04:01-DRB1*04:06-DQB1*03:02  South Korea pop 3 1.2000485
 40  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Tamaulipas Rural 1.1905125
 41  A*31-B*15:01-DRB1*04-DQB1*03:02  Mexico Zacatecas, Zacatecas city 1.190584
 42  A*11-B*15:01-DRB1*04-DQB1*03:02  Mexico San Luis Potosi Rural 1.149487
 43  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Nuevo Leon Rural 1.1364439
 44  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Veracruz, Poza Rica 1.111145
 45  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Veracruz Rural 1.1091539
 46  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Tlaxcala, Tlaxcala city 1.1050181
 47  A*31-B*15:01-DRB1*04-DQB1*03:02  Mexico Veracruz, Xalapa 1.0695187
 48  A*02:01-B*15:01-C*01:02-DRB1*04:11-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 49  A*24:02-B*15:01-C*01:02-DRB1*04:11-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 50  A*31:01-B*15:01-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 51  A*31:01-B*15:01-C*01:02-DRB1*04:11-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 52  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 1.05211,994
 53  A*11:01-B*15:01-C*04:01-DRB1*04:06-DRB4*01:01-DQB1*03:02  USA NMDP Japanese 1.049924,582
 54  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Sonora, Ciudad Obregón 1.0490143
 55  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Guerrero state 1.0417144
 56  A*24-B*15:01-DRB1*04-DQB1*03:02  Mexico Quintana Roo, Cancun 1.041748
 57  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Puebla Rural 1.0192833
 58  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Ireland South 1.0000250
 59  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Baja Californa, Mexicali 1.0000100
 60  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Baja California Rural 1.000050
 61  A*24-B*15:01-DRB1*04-DQB1*03:02  Mexico Baja California Rural 1.000050
 62  A*68-B*15:01-DRB1*04-DQB1*03:02  Mexico Baja California Rural 1.000050
 63  A*68-B*15:01-DRB1*04-DQB1*03:02  Mexico Quintana Roo Rural 1.000050
 64  A*24-B*15:01-DRB1*04-DQB1*03:02  Mexico Mexico City Metropolitan Area Rural 0.9868150
 65  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Mexico City Center 0.9740152
 66  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Mexico City South 0.961552
 67  A*68:01-B*15:01-C*01:02-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 68  A*68:19-B*15:01-C*03:28-DRB1*04:03-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 69  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Zacatecas, Fresnillo 0.9524103
 70  A*31-B*15:01-DRB1*04-DQB1*03:02  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 71  A*03-B*15:01-DRB1*04-DQB1*03:02  Mexico Coahuila Rural 0.9174216
 72  A*24-B*15:01-DRB1*04-DQB1*03:02  Mexico Durango Rural 0.9174326
 73  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Veracruz, Coatzacoalcos 0.892955
 74  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.88043,456,066
 75  A*02:01:01-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.8403119
 76  A*02:01:01-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.837723,595
 77  A*03:01:01:01-B*15:01:01:01-C*03:04:01:01-DRB1*04:01:01-DQB1*03:02  Russia Bashkortostan, Bashkirs 0.8333120
 78  A*11:01:01-B*15:01:01-C*04:01:01-DRB1*04:06:01-DQB1*03:02:01  China Zhejiang Han 0.82741,734
 79  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Chiapas Rural 0.8264121
 80  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Oaxaca Rural 0.8214485
 81  A*24-B*15:01-DRB1*04-DQB1*03:02  Mexico Sinaloa Rural 0.8197183
 82  A*24-B*15:01-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 0.819761
 83  A*24-B*15:01-DRB1*04-DQB1*03:02  Mexico Tamaulipas Rural 0.7937125
 84  A*24-B*15:01-DRB1*04-DQB1*03:02  Guatemala, Guatemala City Mixed Ancestry 0.7900127
 85  A*24-B*15:01-DRB1*04-DQB1*03:02  Mexico Nayarit Rural 0.781264
 86  A*32-B*15:01-DRB1*04-DQB1*03:02  Mexico Nayarit Rural 0.781264
 87  A*32:01-B*15:01-DRB1*04:03-DQB1*03:02  Chile Mapuche 0.770066
 88  A*68:01-B*15:01-DRB1*04:02-DQB1*03:02  Chile Mapuche 0.770066
 89  A*68:01-B*15:01-DRB1*04:04-DQB1*03:02  Chile Mapuche 0.770066
 90  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Coahuila, Torreon 0.7500396
 91  A*24:02-B*15:01-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 92  A*68:01-B*15:01-C*01:02-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 93  A*68:01-B*15:01-C*01:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 94  A*68-B*15:01-DRB1*04-DQB1*03:02  Mexico Tabasco Rural 0.7042142
 95  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP European Caucasian 0.70071,242,890
 96  A*02:01-B*15:01-C*03:04-DRB1*04:01:01-DQB1*03:02:01  England North West 0.7000298
 97  A*31-B*15:01-DRB1*04-DQB1*03:02  Mexico Sonora, Ciudad Obregón 0.6993143
 98  A*02:01:01-B*15:01:01-C*01:02:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 99  A*02:01:01-B*15:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 100  A*02:01:01-B*15:01:01-C*08:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472

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 646) records   Pages: 1 2 3 4 5 6 7 of 7  


   

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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