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 : 
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Displaying 1 to 100 (from 123) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*40-DRB1*04:07-DQB1*03:02  Peru Lamas City Lama 5.900083
 2  A*02-B*40-DRB1*04:07-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 4.166760
 3  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
 4  A*24-B*40-DRB1*04:07-DQA1*03-DQB1*03:02  Colombia Jaidukama 3.800039
 5  A*68-B*40-DRB1*04:07-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 3.020053
 6  A*24:02-B*40:08-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 2.985167
 7  A*68-B*40-DRB1*04:07-DQB1*03:02  Mexico Huasteca Region Teenek 2.900055
 8  A*02-B*40-DRB1*04:07-DQB1*03:02  Bolivia La Paz Aymaras 2.299087
 9  A*31:01-B*40:08-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 2.238867
 10  A*24:02-B*40:03-C*01:02-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 1.923152
 11  A*02-B*40-DRB1*04:07-DQA1*03-DQB1*03:02  Colombia Jaidukama 1.900039
 12  A*68-B*40-DRB1*04:07-DQB1*03:02  Peru Lamas City Lama 1.800083
 13  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
 14  A*24-B*40-DRB1*04:07-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 15  A*68-B*40-DRB1*04:07-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 16  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 1.492567
 17  A*68:01:02-B*40:02:01-C*03:05-DRB1*04:07-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 1.3575221
 18  A*02:01-B*40:02-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 1.190584
 19  A*68:01-B*40:02-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 1.190584
 20  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02-DPB1*04:02  Panama 1.1400462
 21  A*24:02-B*40:08-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 22  A*31:01-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 23  A*31:01-B*40:02-C*15:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 24  A*68:01-B*40:02-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 25  A*68:01-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 26  A*68:01-B*40:11-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 27  A*68:03-B*40:02-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 28  A*68:03-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 29  A*02-B*40-DRB1*04:07-DQB1*03:02  Colombia Wayu from Guajira Peninsula 1.040048
 30  A*68-B*40-DRB1*04:07-DQB1*03:02  Colombia Wayu from Guajira Peninsula 1.040048
 31  A*24:02-B*40:02-C*03:04-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 32  A*24:17-B*40:02-C*01:02-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 33  A*68:01-B*40:02-C*03:04-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 34  A*02-B*40-DRB1*04:07-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 35  A*24-B*40-DRB1*04:07-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 36  A*31:01-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.8658339
 37  B*40:02-C*03:05-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.8600234
 38  A*11-B*40-DRB1*04:07-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 39  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.82111,463
 40  A*68:01-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 41  A*02:01:01-B*40:02:01-C*03:02:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 42  A*24:02:01-B*40:02:01-C*04:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 43  A*68:01:01-B*40:02:01-C*03:02:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 44  A*68:03:01-B*40:02:01-C*07:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 45  A*31:01:02-B*40:02:01-C*03:05-DRB1*04:07-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.6787221
 46  A*02:01-B*40:05-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 47  A*24:02-B*40:02-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 48  A*24:02-B*40:03-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 49  A*24:02-B*40:05-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 50  A*31:01-B*40:02-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 51  A*02:01-B*40:02-DRB1*04:07-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 52  A*68:01-B*40:02-DRB1*04:07-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 53  A*02:01-B*40:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.4545330
 54  A*31:01-B*40:02-C*03:04-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.4274234
 55  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02-DPB1*04:01  Panama 0.3800462
 56  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02-DPB1*14:01  Panama 0.3800462
 57  A*02:01-B*40:05-C*03:04-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 58  B*40:05-C*03:04-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 59  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02  USA NMDP Black South or Central American 0.30624,889
 60  A*24:02-B*40:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.3030330
 61  A*68:01-B*40:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.3030330
 62  A*24:14-B*40:02-C*03:04-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.30251,463
 63  A*11:01-B*40:49-C*07:02-DRB1*04:07-DQB1*03:02  Malaysia Peninsular Chinese 0.2577194
 64  A*02:01-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 65  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 66  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 67  A*31:01-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 68  A*68:01-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 69  A*68:01-B*40:08-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 70  A*68:01-B*40:08-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*105:01  Mexico Chiapas Lacandon Mayans 0.2294218
 71  A*68:05-B*40:02-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 72  A*68:05-B*40:02-C*15:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Mexico Chiapas Lacandon Mayans 0.2294218
 73  A*68:01:02-B*40:02:01-C*03:04:01-DRB1*04:07-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.2262221
 74  A*02:01-B*40:02-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 75  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*14:01  Nicaragua Managua 0.2165339
 76  A*31:01-B*40:02-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 77  A*31:02-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 78  A*68:01-B*40:02-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 79  A*68:03-B*40:02-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 80  A*68:03-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 81  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02  USA NMDP Caribean Indian 0.190414,339
 82  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02-DPB1*105:01  Panama 0.1900462
 83  A*24:02-B*40:05-C*03:05-DRB1*04:07-DQB1*03:02-DPB1*03:01  Panama 0.1900462
 84  A*68:01-B*40:02-C*12:02-DRB1*04:07-DQB1*03:02-DPB1*02:01  Panama 0.1900462
 85  A*24:02-B*40:02-C*03:04-DRB1*04:07-DQB1*03:02  USA Hispanic pop 2 0.18301,999
 86  A*68:01-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.17991,463
 87  A*01:01-B*40:05-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 88  A*23:01-B*40:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 89  A*24:02-B*40:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 90  A*26:01-B*40:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 91  A*31:01-B*40:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 92  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02  USA NMDP American Indian South or Central America 0.14915,926
 93  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02  USA Hispanic pop 2 0.14001,999
 94  A*31:01-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02  USA Hispanic pop 2 0.14001,999
 95  A*68:01-B*40:02-C*03:04-DRB1*04:07-DQB1*03:02  USA Hispanic pop 2 0.14001,999
 96  A*24:02-B*40:02-C*03:04-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.13891,463
 97  A*68:01-B*40:08-C*03:04-DRB1*04:07-DQB1*03:02  USA Hispanic pop 2 0.12901,999
 98  A*24:02-B*40:02-C*03:04-DRB1*04:07-DQB1*03:02  USA NMDP Black South or Central American 0.10984,889
 99  A*02:22-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.10611,463
 100  A*02:01-B*40:02-C*03:04-DRB1*04:07-DQB1*03:02  USA Hispanic pop 2 0.09801,999

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 123) records   Pages: 1 2 of 2  


   

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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