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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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 704) records   Pages: 1 2 3 4 5 6 7 8 of 8  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*51:10-C*15:02-DRB1*04:07-DQB1*03:02  Colombia North Chimila Amerindians 28.723447
 2  A*24-B*51-DRB1*04:03-DQB1*03:02  Colombia Wayu from Guajira Peninsula 9.220048
 3  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Mexico City West 5.882433
 4  A*02-B*51-DRB1*04:04-DQA1*03-DQB1*03:02  Colombia Jaidukama 5.800039
 5  A*01-B*51-DRB1*04:02/04:03-DQB1*03:02  Tunisia Ghannouch 4.800082
 6  A*24-B*51-DRB1*04-DQB1*03:02  Mexico Baja California, Tijuana 4.000025
 7  A*68:01-B*51:01-DRB1*04:03-DQB1*03:02  Chile Mapuche 3.850066
 8  A*24-B*51-DRB1*04:07-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 3.333360
 9  A*68-B*51-DRB1*04-DQB1*03:02  Mexico Baja California Rural 3.000050
 10  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Tamaulipas Rural 2.7778125
 11  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Queretaro Rural 2.325643
 12  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Colima Rural 2.272743
 13  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Tamaulipas, Ciudad Victoria 2.173923
 14  A*02:01-B*51:10-C*15:02-DRB1*04:07-DQB1*03:02  Colombia North Chimila Amerindians 2.127747
 15  A*02-B*51-DRB1*04:03-DQB1*03:02  Colombia Wayu from Guajira Peninsula 2.080048
 16  A*02:01-B*51:01-C*15:13-DRB1*04:02-DQA1*03:01-DQB1*03:02  United Arab Emirates Abu Dhabi 1.920052
 17  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Zacatecas, Fresnillo 1.9048103
 18  A*02-B*51-DRB1*04:07-DQA1*03-DQB1*03:02  Colombia Jaidukama 1.900039
 19  A*68-B*51-DRB1*04:07-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 1.890053
 20  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Sinaloa Mestizo 1.800056
 21  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Veracruz, Cordoba 1.785756
 22  A*24-B*51-DRB1*04-DQB1*03:02  Mexico Guerrero state 1.7361144
 23  A*03-B*51-DRB1*04:07-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 24  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 1.639361
 25  A*24-B*51-DRB1*04-DQB1*03:02  Mexico Nayarit Rural 1.562564
 26  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Nayarit Rural 1.562564
 27  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Sonora, Hermosillo 1.515299
 28  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Sonora, Hermosillo 1.515299
 29  A*68-B*51-DRB1*04-DQB1*03:02  Mexico Campeche, Campeche city 1.470634
 30  A*02-B*51-DRB1*04-DQB1*03:02  Ecuador Andes Mixed Ancestry 1.4563824
 31  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Jalisco, Tonala 1.428635
 32  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Tabasco Rural 1.4085142
 33  A*02:01-B*51:01-DRB1*04:07-DQB1*03:02  USA South Dakota Lakota Sioux 1.4000302
 34  A*24-B*51-DRB1*04-DQB1*03:02  Mexico Coahuila, Saltillo 1.369972
 35  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Sinaloa Rural 1.3661183
 36  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Jalisco, Tlaquepaque 1.282139
 37  A*02-B*51-DRB1*04-DQB1*03:02  Ecuador Mixed Ancestry 1.27881,173
 38  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Mexico City East 1.250079
 39  A*68-B*51-DRB1*04-DQB1*03:02  Mexico Mexico City East 1.250079
 40  A*24-B*51-DRB1*04-DQB1*03:02  Mexico Hidalgo, Pachuca 1.219541
 41  A*68-B*51-DRB1*04-DQB1*03:02  Mexico Zacatecas, Zacatecas city 1.190584
 42  A*02-B*51-DRB1*04-DQB1*03:02  Mexico San Luis Potosi Rural 1.149487
 43  A*01-B*51-DRB1*04-DQB1*03:02  Mexico Queretaro, Queretaro city 1.111145
 44  A*26:01:01-B*51:01:01-C*16:02:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 1.0753186
 45  A*02:87-B*51:10-C*15:02-DRB1*04:07-DQB1*03:02  Colombia North Chimila Amerindians 1.063847
 46  A*02:93-B*51:10-C*04:01-DRB1*04:07-DQB1*03:02  Colombia North Chimila Amerindians 1.063847
 47  A*24:02-B*51:10-C*15:02-DRB1*04:17-DQB1*03:02  Colombia North Chimila Amerindians 1.063847
 48  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*04:02-DQB1*03:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 1.055528,927
 49  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Aguascalientes state 1.052695
 50  A*68-B*51-DRB1*04-DQB1*03:02  Mexico Aguascalientes state 1.052695
 51  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Quintana Roo, Cancun 1.041748
 52  A*02-B*51-DRB1*04:07-DQB1*03:02  Colombia Wayu from Guajira Peninsula 1.040048
 53  A*02:01-B*51:01-DRB1*04:01-DQB1*03:02  Iran Tabriz Azeris 1.030997
 54  A*68-B*51-DRB1*04-DQB1*03:02  Mexico Sonora, Hermosillo 1.010199
 55  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Baja Californa, Mexicali 1.0000100
 56  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Mexico City North 0.9960751
 57  A*24-B*51-DRB1*04-DQB1*03:02  Mexico Michoacan, Morelia 0.9934150
 58  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Oaxaca, Oaxaca city 0.9934151
 59  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Sinaloa, Culiacán 0.9709103
 60  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Tlaxcala Rural 0.9639830
 61  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Puebla Rural 0.9592833
 62  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Zacatecas, Fresnillo 0.9524103
 63  A*02-B*51-DRB1*04:04-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 64  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Chihuahua, Ciudad Juarez 0.9259106
 65  A*68-B*51-DRB1*04-DQB1*03:02  Mexico Chihuahua, Ciudad Juarez 0.9259106
 66  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Jalisco, Zapopan 0.8929168
 67  A*68:01-B*51:01-DRB1*04:01-DQB1*03:02  Iran Yazd 0.892956
 68  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Veracruz, Veracruz city 0.8721171
 69  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Michoacan Rural 0.8596348
 70  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Chihuahua Chihuahua City 0.8403119
 71  A*02:01-B*51:01-DRB1*04:01-DQB1*03:02  Iran Saqqez-Baneh Kurds 0.833360
 72  A*02-B*51-DRB1*04:07-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 73  A*03:01:01:01-B*51:01:01-C*16:02:01-DRB1*04:04:01-DQB1*03:02  Russia Bashkortostan, Bashkirs 0.8333120
 74  A*24-B*51-DRB1*04:03-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 75  A*24-B*51-DRB1*04-DQB1*03:02  Mexico Chiapas Rural 0.8264121
 76  A*68-B*51-DRB1*04-DQB1*03:02  Mexico Chiapas Rural 0.8264121
 77  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Oaxaca Rural 0.8214485
 78  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Sinaloa Rural 0.8197183
 79  A*68-B*51-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 0.819761
 80  A*24:02-B*51:01-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Kosovo 0.8060124
 81  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Veracruz, Xalapa 0.8021187
 82  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Nuevo Leon Rural 0.7955439
 83  A*02-B*51-DRB1*04-DQB1*03:02  Guatemala, Guatemala City Mixed Ancestry 0.7900127
 84  A*68-B*51-DRB1*04-DQB1*03:02  Mexico Nayarit Rural 0.781264
 85  A*29:01-B*51:06-C*06:02-DRB1*04:01-DQB1*03:02  Iran Gorgan 0.780064
 86  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.77661,994
 87  A*01:01-B*51:01-DRB1*04:02-DQB1*03:02  Chile Mapuche 0.770066
 88  A*03:01-B*51:01-DRB1*04:02-DQB1*03:02  Chile Mapuche 0.770066
 89  A*68:01-B*51:01-DRB1*04:02-DQB1*03:02  Chile Mapuche 0.770066
 90  A*24-B*51-DRB1*04-DQB1*03:02  Mexico Sonora Rural 0.7614197
 91  A*24-B*51-DRB1*04-DQB1*03:02  Mexico Michoacan Rural 0.7163348
 92  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Sonora, Ciudad Obregón 0.6993143
 93  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Sonora, Ciudad Obregón 0.6993143
 94  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 95  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Guerrero state 0.6944144
 96  A*24:02:01-B*51:01:01-C*08:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 97  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 98  A*68:03:01-B*51:01:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 99  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Coahuila Rural 0.6881216
 100  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Nuevo Leon Rural 0.6818439

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 704) records   Pages: 1 2 3 4 5 6 7 8 of 8  


   

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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