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 84 (from 84) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:05-B*50:01-C*06:02-DRB1*15:01-DQA1*01:02-DQB1*06:02  United Arab Emirates Abu Dhabi 1.920052
 2  A*23:01:01-B*50:01:01-C*02:10:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 3  A*24-B*50-DRB1*15-DQB1*06  Mexico Queretaro, Queretaro city 1.111145
 4  A*03-B*50-DRB1*15-DQB1*06  Mexico Quintana Roo, Cancun 1.041748
 5  A*02-B*50-DRB1*15-DQB1*06  Mexico Tamaulipas Rural 0.7937125
 6  A*02-B*50-DRB1*15-DQB1*06  Mexico Yucatan Rural 0.7463132
 7  A*66-B*50-DRB1*15-DQB1*06  Mexico Mexico City Metropolitan Area Rural 0.6579150
 8  A*02:01-B*50:01-DRB1*15:01-DQB1*06:02  Iran Tabriz Azeris 0.515597
 9  A*30:02-B*50:01-C*06:02-DRB1*15:03-DQA1*04:01-DQB1*06:02-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 10  A*24:02:01-B*50:02-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.4700215
 11  A*01:01:01:01-B*50:01:01-C*06:02:01:02-DRB1*15:01:01-DQB1*06:02  Russia Bashkortostan, Bashkirs 0.4167120
 12  A*29-B*50-DRB1*15-DQB1*06  Mexico Chiapas Rural 0.4132121
 13  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 14  A*02:01:01-B*50:02-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 15  A*02-B*50-DRB1*15-DQB1*06  Ecuador Coast Mixed Ancestry 0.2101238
 16  A*01:01-B*50:01-C*06:02-DRB1*15:01-DQB1*06:02  USA NMDP Caribean Indian 0.190014,339
 17  A*23:01-B*50:01-C*04:01-DRB1*15:02-DQB1*06:01-DPB1*17:01  Panama 0.1900462
 18  A*02-B*50-DRB1*15-DQB1*06  Mexico Puebla Rural 0.1799833
 19  A*02:01-B*50:01-DRB1*15:01-DQB1*06:01  Mexico Mexico City Tlalpan 0.1515330
 20  A*02:01-B*50:01-DRB1*15:01-DQB1*06:02  Mexico Mexico City Tlalpan 0.1515330
 21  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 22  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*15:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 0.1006221
 23  A*01:01-B*50:01-C*06:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.09401,999
 24  A*30:02-B*50:01-C*06:02-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.08702,411
 25  A*03-B*50-DRB1*15-DQB1*06  Mexico Jalisco Rural 0.0853585
 26  A*36-B*50-DRB1*15-DQB1*06  Ecuador Andes Mixed Ancestry 0.0607824
 27  A*32:01-B*50:01-C*06:02-DRB1*15:02-DQB1*06:01  USA Hispanic pop 2 0.04701,999
 28  A*02:05-B*50:01-C*06:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.04601,159
 29  A*68:02-B*50:01-C*06:02-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.04402,411
 30  A*02-B*50-DRB1*15-DQB1*06  Ecuador Mixed Ancestry 0.04261,173
 31  A*36-B*50-DRB1*15-DQB1*06  Ecuador Mixed Ancestry 0.04261,173
 32  A*02:01-B*50:01-C*06:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.03421,463
 33  A*24:02-B*50:01-C*06:02-DRB1*15:02-DQB1*06:01  Colombia Bogotá Cord Blood 0.03421,463
 34  A*02:01-B*50:01-C*06:02-DRB1*15:02-DQB1*06:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 35  A*23:01-B*50:02-C*04:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 36  A*23:01-B*50:02-C*06:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 37  A*03-B*50-C*06-DRB1*15-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.03291,743
 38  A*02:05-B*50:01-C*06:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.02954,204
 39  A*02:05-B*50:01-C*06:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.02665,849
 40  A*02:05-B*50:01-C*06:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.02384,204
 41  A*02:05-B*50:01-C*06:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.02104,856
 42  A*30:01-B*50:01-C*06:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.02012,492
 43  A*33:03-B*50:01-C*06:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.02012,492
 44  A*02:05-B*50:01-C*06:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.01982,403
 45  A*03:01-B*50:01-C*06:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.01755,829
 46  A*02:05-B*50:01-C*06:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.01722,403
 47  A*02:05-B*50:01-C*06:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.01442,492
 48  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.013023,595
 49  A*33:03-B*50:01-C*06:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.01165,849
 50  A*02:05-B*50:01-C*06:02-DRB1*15:01-DQB1*06:01  USA Asian pop 2 0.01101,772
 51  A*11:01-B*50:01-C*06:02-DRB1*15:01-DQB1*06:01  USA Asian pop 2 0.01101,772
 52  A*02-B*50-C*06-DRB1*15-DQB1*06-DPB1*13  Norway ethnic Norwegians 0.01004,510
 53  A*23-B*50-C*06-DRB1*15-DQB1*06-DPB1*03  Norway ethnic Norwegians 0.01004,510
 54  A*03:01-B*50:01-C*06:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00962,492
 55  A*02:05-B*50:01-C*06:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.00895,829
 56  A*02:05-B*50:01-C*06:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.008711,446
 57  A*02:05-B*50:01-C*06:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.00875,829
 58  A*03:01-B*50:01-C*06:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.00865,829
 59  A*03:01-B*50:01-C*06:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.00692,492
 60  A*03:01-B*50:01-C*06:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.00585,849
 61  A*02:05-B*50:01-C*06:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.004911,446
 62  A*03:01-B*50:01-C*06:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.004911,446
 63  A*24:02-B*50:01-C*06:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.004811,446
 64  A*02:11-B*50:01-C*06:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.004711,446
 65  A*02:01-B*50:01-C*06:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.004411,446
 66  A*02:01-B*50:01-C*06:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.004411,446
 67  A*02:09-B*50:01-C*07:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.004411,446
 68  A*03:01-B*50:01-C*06:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00402,492
 69  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.003723,595
 70  A*11:01:01-B*50:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.003723,595
 71  A*32:01:01-B*50:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 72  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.001923,595
 73  A*02:05-B*50:01-C*06:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00172,492
 74  A*02:01-B*50:01-C*06:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00112,492
 75  A*02:01-B*50:01-C*06:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00112,492
 76  A*02:05-B*50:01-C*06:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.00012702,492
 77  A*02:01-B*50:01-C*06:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.00008302,492
 78  A*02:06-B*50:01-C*06:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00000922,492
 79  A*02:11-B*50:01-C*06:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.00000152,492
 80  A*02:06-B*50:01-C*06:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00000082,492
 81  A*02:11-B*50:01-C*06:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00000082,492
 82  A*02:11-B*50:01-C*06:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00000082,492
 83  A*02:16-B*50:01-C*06:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00000082,492
 84  A*02:16-B*50:01-C*06:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00000082,492

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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