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 63 (from 63) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01-B*08-DRB1*14-DQB1*05  Mexico Mexico City Center 0.6494152
 2  A*11:01:01-B*08:01:01-C*15:02:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.5750174
 3  A*31:01-B*08:01-DRB1*14:06-DQB1*05:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 4  A*68-B*08-C*06-DRB1*14-DQB1*05  Sudan Khartoum 0.510098
 5  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*14:54:01-DQA1*01:04:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.3268153
 6  A*01-B*08-DRB1*14-DQB1*05  Mexico Durango, Durango city 0.3226153
 7  A*03:01-B*08:01-C*03:03-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*04:01  South Africa Worcester 0.3000159
 8  A*26-B*08-DRB1*14-DQB1*05  Mexico Veracruz, Veracruz city 0.2907171
 9  A*30-B*08-DRB1*14-DQB1*05  Mexico Veracruz, Xalapa 0.2674187
 10  A*24:02-B*08:01-C*07:01-DRB1*14:01-DQA1*01:02-DQB1*05:03-DPB1*03:01  Nicaragua Managua 0.2165339
 11  A*30:01-B*08:01-C*07:02-DRB1*14:54-DQB1*05:03-DPB1*13:01  Tanzania Maasai 0.1597336
 12  A*24-B*08-DRB1*14-DQB1*05  Mexico Oaxaca Rural 0.1027485
 13  A*26:01-B*08:01-C*07:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.09832,492
 14  A*26:01-B*08:01-C*07:01-DRB1*14:01-DQB1*05:03  Germany DKMS - Italy minority 0.08601,159
 15  A*01:01-B*08:01-C*07:01-DRB1*14:01-DQB1*05:03-DPB1*03:01  Russia Karelia 0.05641,075
 16  A*11:01-B*08:01-C*04:01-DRB1*14:01-DQB1*05:03-DPB1*04:01  Russia Karelia 0.05581,075
 17  A*23:01-B*08:01-C*03:04-DRB1*14:01-DQB1*05:03  USA African American pop 4 0.04402,411
 18  A*32:01-B*08:09-C*07:01-DRB1*14:01-DQB1*05:03  Germany DKMS - Italy minority 0.04301,159
 19  A*02-B*08-DRB1*14-DQB1*05  Mexico Jalisco, Guadalajara city 0.04191,189
 20  A*23:01-B*08:01-C*07:02-DRB1*14:01-DQB1*05:03  Colombia Bogotá Cord Blood 0.03421,463
 21  A*01:01-B*08:01-C*07:01-DRB1*14:01-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 22  A*01:01-B*08:01-C*07:01-DRB1*14:54-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 23  A*01:01-B*08:01-C*07:02-DRB1*14:54-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 24  A*23:01-B*08:01-C*07:02-DRB1*14:54-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 25  A*32:01-B*08:01-C*07:01-DRB1*14:01-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 26  A*24:02:01:01-B*08:01:01-C*07:01:01-DRB1*14:54-DQB1*05:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 27  A*31:01:02:01-B*08:01:01-C*07:01:01-DRB1*14:01:01-DQB1*05:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 28  A*30-B*08-C*07-DRB1*14-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 29  A*01:01-B*08:01-C*07:01-DRB1*14:01-DQB1*05:03-DPB1*04:01  Germany DKMS - German donors 0.02723,456,066
 30  A*02:01-B*08:01-C*07:01-DRB1*14:01-DQB1*05:03  USA African American pop 4 0.02202,411
 31  A*02:01-B*08:01-C*07:01-DRB1*14:01-DQB1*05:03  Germany DKMS - Turkey minority 0.02104,856
 32  A*26:01-B*08:01-C*07:02-DRB1*14:01-DQB1*05:03  Germany DKMS - Turkey minority 0.02104,856
 33  A*11:01-B*08:01-C*07:02-DRB1*14:54-DQB1*05:03  India East UCBB 0.02082,403
 34  A*24:02-B*08:01-C*07:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.02012,492
 35  A*24:07-B*08:01-C*07:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.02012,492
 36  A*02:06-B*08:01-C*07:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.02012,492
 37  A*02:11-B*08:01-C*07:02-DRB1*14:01-DQB1*05:03  India Tamil Nadu 0.02012,492
 38  A*26:01-B*08:01-C*07:02-DRB1*14:05-DQB1*05:03  India West UCBB 0.01725,829
 39  A*11:01-B*08:01-C*07:02-DRB1*14:54-DQB1*05:03  India North UCBB 0.01715,849
 40  A*26:01-B*08:01-C*07:02-DRB1*14:05-DQB1*05:03  India North UCBB 0.01715,849
 41  A*11:01-B*08:01-C*07:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.013711,446
 42  A*24:07-B*08:01-C*07:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.013111,446
 43  A*26:01-B*08:01-C*07:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.01255,829
 44  A*26:01-B*08:01-C*07:02-DRB1*14:54-DQB1*05:03  India Central UCBB 0.01194,204
 45  A*02-B*08-C*07-DRB1*14-DQB1*05-DPB1*01  Norway ethnic Norwegians 0.01004,510
 46  A*34:02-B*08:01-C*07:01-DRB1*14:01-DQB1*05:03  Germany DKMS - Turkey minority 0.01004,856
 47  A*26:01-B*08:59-C*07:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.00915,829
 48  A*01:01-B*08:01-C*07:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.00885,849
 49  A*24:02-B*08:01-C*07:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.00875,849
 50  A*11:01-B*08:01-C*07:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.00865,829
 51  A*23:01-B*08:01-C*07:02-DRB1*14:54-DQB1*05:03  India West UCBB 0.00865,829
 52  A*29:01-B*08:01-C*07:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.00865,829
 53  A*01:01-B*08:01-C*02:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.00855,849
 54  A*23:01:01-B*08:01:01-C*07:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.008523,595
 55  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.008023,595
 56  A*11:01-B*08:01-C*07:02-DRB1*14:05-DQB1*05:03  India South UCBB 0.004611,446
 57  A*01:01-B*08:01-C*07:02-DRB1*14:07-DQB1*05:03  India South UCBB 0.004411,446
 58  A*02:01-B*08:01-C*07:02-DRB1*14:07-DQB1*05:03  India South UCBB 0.004411,446
 59  A*26:01-B*08:01-C*07:02-DRB1*14:05-DQB1*05:03  India South UCBB 0.004211,446
 60  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002223,595
 61  A*11:01:01-B*08:01:01-C*07:01:01-DRB1*14:97-DQB1*05:03:01  Poland BMR 0.002123,595
 62  A*03:01:01-B*08:01:01-C*07:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002123,595
 63  A*24:02:01-B*08:01:01-C*07:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.001923,595

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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