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 68 (from 68) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*03-B*14:02-DRB1*13-DQB1*06  Mexico Jalisco, Tonala 1.428635
 2  A*02-B*14:02-DRB1*13-DQB1*06  Ecuador Amazonia Mixed Ancestry 1.282139
 3  A*03:01-B*14:02:01-C*08:02-DRB1*13:02:01-DQB1*06:09  England North West 1.2000298
 4  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 1.1312221
 5  A*33-B*14:02-DRB1*13-DQB1*06  Mexico Nayarit Rural 0.781264
 6  A*33-B*14:02-DRB1*13-DQB1*06  Mexico Mexico City Center 0.6494152
 7  A*25:01-B*14:02-DRB1*13:01-DQB1*06:03  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 8  A*03:01-B*14:02-C*08:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*05:01  USA San Diego 0.5210496
 9  A*02:01:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:09:01-DPA1*02:02:02-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 10  A*30:02:01-B*14:02:01-C*08:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*835:01:01  South African Black 0.3520142
 11  A*03-B*14:02-DRB1*13-DQB1*06  Mexico Oaxaca, Oaxaca city 0.3311151
 12  A*68-B*14:02-DRB1*13-DQB1*06  Mexico Jalisco, Zapopan 0.2976168
 13  A*01:01:01:01-B*14:02:01-C*08:02:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 14  A*31-B*14:02-DRB1*13-DQB1*06  Mexico Yucatan, Merida 0.2564192
 15  A*02:01:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQB1*06:04:01  Spain, Canary Islands, Gran canaria island 0.2300215
 16  A*33-B*14:02-DRB1*13-DQB1*06  Mexico Coahuila Rural 0.2294216
 17  A*33:01-B*14:02-C*08:02-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*03:01  Nicaragua Managua 0.2165339
 18  A*33-B*14:02-DRB1*13-DQB1*06  Mexico Chihuahua Rural 0.2092236
 19  A*02:01-B*14:02-C*08:02-DRB1*13:01-DQB1*06:03-DPB1*04:02  Tanzania Maasai 0.1597336
 20  A*03:01-B*14:02-C*08:02-DRB1*13:01-DQB1*06:03-DPB1*02:01  Tanzania Maasai 0.1597336
 21  A*68:02-B*14:02-C*08:02-DRB1*13:02-DQB1*06:09-DPB1*01:01  Tanzania Maasai 0.1597336
 22  A*33:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:04  Italy pop 5 0.1400975
 23  A*03:01:01:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.13251,510
 24  A*68-B*14:02-DRB1*13-DQB1*06  Mexico Jalisco, Guadalajara city 0.08381,189
 25  A*02:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.06841,463
 26  A*33:03-B*14:02-C*08:02-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.06841,463
 27  A*68-B*14:02-DRB1*13-DQB1*06  Mexico Mexico City North 0.0664751
 28  A*24-B*14:02-DRB1*13-DQB1*06  Ecuador Andes Mixed Ancestry 0.0607824
 29  A*26-B*14:02-DRB1*13-DQB1*06  Mexico Puebla, Puebla city 0.05011,994
 30  A*68:02-B*14:02-C*08:02-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.04701,999
 31  A*74:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.04402,411
 32  A*23:01-B*14:02-C*08:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.04301,159
 33  A*33:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.04301,159
 34  A*02-B*14:02-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.04261,173
 35  A*24-B*14:02-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.04261,173
 36  A*03-B*14:02-DRB1*13-DQB1*06  Mexico Jalisco, Guadalajara city 0.04191,189
 37  A*33:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.03421,463
 38  A*03:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:09  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 39  A*25:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 40  A*29:02-B*14:02-C*08:02-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 41  A*30:02-B*14:02-C*08:02-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 42  A*33:01-B*14:02-C*08:02-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 43  A*68:02-B*14:02-C*08:02-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 44  A*01:01:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 45  A*33-B*14:02-DRB1*13-DQB1*06  Mexico Puebla, Puebla city 0.02511,994
 46  A*03:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:09-DPB1*05:01  Germany DKMS - German donors 0.02463,456,066
 47  A*03:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:09-DPB1*04:01  Germany DKMS - German donors 0.01623,456,066
 48  A*33:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01304,856
 49  A*33:01-B*14:02-C*08:02-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.01213,456,066
 50  A*01:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.01201,999
 51  A*26:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.01201,999
 52  A*31:01-B*14:02-C*08:02-DRB1*13:01-DQB1*06:02  India Tamil Nadu 0.01002,492
 53  A*31:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.01002,492
 54  A*02:01-B*14:02-C*08:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01004,856
 55  A*32:01-B*14:02-C*06:02-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01004,856
 56  A*33:01-B*14:02-C*08:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01004,856
 57  A*68:02:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*06:03:01  Poland BMR 0.008523,595
 58  A*03:01:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.008523,595
 59  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.006823,595
 60  A*01:01:01-B*14:02:01-C*08:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.004323,595
 61  A*03:01:01-B*14:02:01-C*08:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.004323,595
 62  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.004223,595
 63  A*68:02:01-B*14:02:01-C*08:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.003123,595
 64  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.002123,595
 65  A*03:02:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 66  A*01:01:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.002123,595
 67  A*01:01:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 68  A*11:01:01-B*14:02:01-C*08:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002023,595

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).




   

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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