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 76 (from 76) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*30:04:01-B*45:01-C*06:02:01-DRB1*11:02:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 1.5837221
 2  A*03-B*45-DRB1*11-DQB1*03:01  Mexico Jalisco, Tonala 1.428635
 3  A*26-B*45-DRB1*11-DQB1*03:01  Mexico Sonora, Hermosillo 1.010199
 4  A*29-B*45-DRB1*11-DQB1*03:01  Mexico Veracruz, Orizaba 0.833360
 5  A*29:02:01-B*45:01:01-C*06:02:01-DRB1*11:02:01-DQB1*03:01:01-DPB1*105:01:01  South African Black 0.7040142
 6  A*29:02-B*45:01-C*06:02-DRB1*11:02-DQB1*03:01-DPB1*18:01  Tanzania Maasai 0.6390336
 7  A*02-B*45-DRB1*11-DQB1*03:01  Mexico Guanajuato Rural 0.6135162
 8  A*24-B*45-DRB1*11-DQB1*03:01  Mexico Durango Rural 0.6116326
 9  A*02-B*45-DRB1*11-DQB1*03:01  Mexico Tabasco, Villahermosa 0.609882
 10  A*24-B*45-DRB1*11-DQB1*03:01  Mexico Zacatecas, Zacatecas city 0.595284
 11  A*02:01-B*45:01-C*02:10-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 12  A*23-B*45-DRB1*11-DQB1*03:01  Mexico Zacatecas, Fresnillo 0.4762103
 13  A*29-B*45-DRB1*11-DQB1*03:01  Mexico Tabasco Rural 0.3521142
 14  A*23-B*45-DRB1*11-DQB1*03:01  Mexico Mexico City Metropolitan Area Rural 0.3289150
 15  A*26-B*45-DRB1*11-DQB1*03:01  Mexico Mexico City Metropolitan Area Rural 0.3289150
 16  A*02-B*45-DRB1*11-DQB1*03:01  Mexico Mexico City Center 0.3247152
 17  A*02:01-B*45:01-C*16:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:02  South Africa Worcester 0.3000159
 18  A*30-B*45-DRB1*11-DQB1*03:01  Mexico Jalisco, Zapopan 0.2976168
 19  A*30-B*45-DRB1*11-DQB1*03:01  Mexico Coahuila, Torreon 0.2500396
 20  A*24:02-B*45:01-C*16:01-DRB1*11:04-DQB1*03:01  USA NMDP Hawaiian or other Pacific Islander 0.234411,499
 21  A*69:01-B*45:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 22  A*23-B*45-DRB1*11-DQB1*03:01  Mexico Oaxaca Rural 0.2053485
 23  A*24:02-B*45:01-C*16:01-DRB1*11:04-DQB1*03:01-DPB1*04:02  Panama 0.1900462
 24  A*02:01-B*45:01-C*16:01-DRB1*11:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.17091,463
 25  A*02-B*45-DRB1*11-DQB1*03:01  Mexico Jalisco Rural 0.1706585
 26  A*02:01-B*45:01-C*06:11-DRB1*11:02-DQB1*03:01-DPB1*124:01  Tanzania Maasai 0.1597336
 27  A*02-B*45-DRB1*11-DQB1*03:01  Mexico Durango Rural 0.1529326
 28  A*02-B*45-DRB1*11-DQB1*03:01  Mexico Michoacan Rural 0.1433348
 29  A*23:01-B*45:01-C*06:02-DRB1*11:01-DQB1*03:01  USA NMDP Black South or Central American 0.14154,889
 30  A*29:02-B*45:01-C*06:02-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.13671,463
 31  A*02:01-B*45:01-C*16:01-DRB1*11:02-DQB1*03:01  USA African American pop 4 0.13102,411
 32  A*29:02-B*45:01-C*06:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 33  A*02-B*45-DRB1*11-DQB1*03:01  Mexico Oaxaca Rural 0.1027485
 34  A*29-B*45-DRB1*11-DQB1*03:01  Mexico Veracruz Rural 0.0924539
 35  A*02:01-B*45:01-C*16:01-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.08702,411
 36  A*11-B*45-DRB1*11-DQB1*03:01  Mexico Jalisco Rural 0.0853585
 37  A*03-B*45-DRB1*11:02-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 38  A*29-B*45-DRB1*11:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 39  A*29:02:01:02-B*45:01:01-C*06:02:01:03-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 40  A*02:01-B*45:01-C*16:01-DRB1*11:02-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 41  A*29:02-B*45:01-C*06:02-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 42  A*01:01-B*45:01-C*16:01-DRB1*11:02-DQB1*03:01  USA African American pop 4 0.04402,411
 43  A*74:01-B*45:01-C*06:02-DRB1*11:02-DQB1*03:01  USA African American pop 4 0.04402,411
 44  A*74:01-B*45:01-C*16:01-DRB1*11:02-DQB1*03:01  USA African American pop 4 0.04402,411
 45  A*74:01-B*45:01-C*16:01-DRB1*11:04-DQB1*03:01  USA Asian pop 2 0.04401,772
 46  A*33:03-B*45:01-C*16:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 47  A*02-B*45-DRB1*11-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.04191,189
 48  A*30-B*45-DRB1*11-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.04191,189
 49  A*02:01-B*45:01-C*06:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 50  A*02:01:01:01-B*45:01:01-C*16:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 51  A*02:01:01-B*45:01:01-C*16:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.027123,595
 52  A*29:02-B*45:01-C*06:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.02104,856
 53  A*02:01-B*45:01-C*16:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01704,856
 54  A*02:02-B*45:01-C*16:01-DRB1*11:02-DQB1*03:01  USA African American pop 4 0.01102,411
 55  A*66:01-B*45:01-C*16:01-DRB1*11:02-DQB1*03:01  USA African American pop 4 0.01102,411
 56  A*29:02:01-B*45:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.008423,595
 57  A*32:01:01-B*45:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.006423,595
 58  A*03:01:01-B*45:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.004923,595
 59  A*32:01-B*45:01-C*06:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.00432,492
 60  A*32:02-B*45:01-C*06:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.00432,492
 61  A*32:08-B*45:01-C*06:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.00432,492
 62  A*02:07:01-B*45:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 63  A*25:01:01-B*45:01:01-C*16:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 64  A*32:01-B*45:01-C*06:02-DRB1*11:04-DQB1*03:01  India Tamil Nadu 0.00060702,492
 65  A*32:01-B*45:01-C*06:02-DRB1*11:06-DQB1*03:01  India Tamil Nadu 0.00060702,492
 66  A*32:01-B*45:01-C*06:02-DRB1*11:08-DQB1*03:01  India Tamil Nadu 0.00060702,492
 67  A*32:01-B*45:01-C*06:02-DRB1*11:11-DQB1*03:01  India Tamil Nadu 0.00060702,492
 68  A*32:02-B*45:01-C*06:02-DRB1*11:04-DQB1*03:01  India Tamil Nadu 0.00060702,492
 69  A*32:02-B*45:01-C*06:02-DRB1*11:06-DQB1*03:01  India Tamil Nadu 0.00060702,492
 70  A*32:02-B*45:01-C*06:02-DRB1*11:08-DQB1*03:01  India Tamil Nadu 0.00060702,492
 71  A*32:02-B*45:01-C*06:02-DRB1*11:11-DQB1*03:01  India Tamil Nadu 0.00060702,492
 72  A*32:08-B*45:01-C*06:02-DRB1*11:04-DQB1*03:01  India Tamil Nadu 0.00060702,492
 73  A*32:08-B*45:01-C*06:02-DRB1*11:06-DQB1*03:01  India Tamil Nadu 0.00060702,492
 74  A*32:08-B*45:01-C*06:02-DRB1*11:08-DQB1*03:01  India Tamil Nadu 0.00060702,492
 75  A*32:08-B*45:01-C*06:02-DRB1*11:11-DQB1*03:01  India Tamil Nadu 0.00060702,492
 76  A*24:02:01-B*45:01:01-C*16:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.000441923,595

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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