Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 59 (from 59) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  Tunisia 4.0000100
 2  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 1.8600215
 3  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  Italy pop 5 1.7700975
 4  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Parda 1.7647170
 5  A*33:01-B*14:02-C*08:02-DRB1*01:02-DRBX*NNNN-DQB1*05:01  USA NMDP Middle Eastern or North Coast of Africa 1.119370,890
 6  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.99281,510
 7  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQA1*01:01:02-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.9804153
 8  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.9375405
 9  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  Germany DKMS - Turkey minority 0.92404,856
 10  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.92304,335
 11  A*33:01-B*14:02-C*08:02-DRB1*01:02-DRBX*NNNN-DQB1*05:01  USA NMDP Hispanic South or Central American 0.8749146,714
 12  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*04:01  Nicaragua Managua 0.8658339
 13  A*33:01-B*14:02-C*08:02-DRB1*01:02-DRBX*NNNN-DQB1*05:01  USA NMDP Mexican or Chicano 0.8415261,235
 14  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  USA Hispanic pop 2 0.84001,999
 15  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  Germany DKMS - Italy minority 0.82001,159
 16  A*33:01:01-B*14:02:01-C*08:02:01:01-DRB1*01:02:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.7812192
 17  A*33:01-B*14:02-C*08:02-DRB1*01:02-DRBX*NNNN-DQB1*05:01  USA NMDP Caribean Hispanic 0.6030115,374
 18  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  USA NMDP American Indian South or Central America 0.49175,926
 19  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  Colombia Bogotá Cord Blood 0.47851,463
 20  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01-DPB1*04:01  Russia Karelia 0.46351,075
 21  A*33:01-B*14:02-C*08:02-DRB1*01:02-DRBX*NNNN-DQB1*05:01  USA NMDP European Caucasian 0.44231,242,890
 22  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  USA NMDP Caribean Indian 0.431914,339
 23  A*33:01:01-B*14:02-C*08:02:01-DRB1*01:02-DQB1*05:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.429728,927
 24  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  Mexico Mexico City Mestizo pop 2 0.4274234
 25  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 26  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  USA NMDP Black South or Central American 0.32484,889
 27  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 28  A*33:01-B*14:02-C*08:02-DRB1*01:02-DRBX*NNNN-DQB1*05:01  USA NMDP North American Amerindian 0.304135,791
 29  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.2804570
 30  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.2294218
 31  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQA1*01:02-DQB1*05:01-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 32  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 33  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  USA African American pop 4 0.21802,411
 34  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.211723,595
 35  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  USA NMDP Alaska Native or Aleut 0.18171,376
 36  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.14833,456,066
 37  A*33:01-B*14:02-C*08:02-DRB1*01:02-DRBX*NNNN-DQB1*05:01  USA NMDP Caribean Black 0.131233,328
 38  A*33:01-B*14:02-C*08:02-DRB1*01:02-DRBX*NNNN-DQB1*05:01  USA NMDP Southeast Asian 0.128327,978
 39  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01-DPB1*02:01  Germany DKMS - German donors 0.08313,456,066
 40  A*33:01-B*14:02-C*08:02-DRB1*01:02-DRBX*NNNN-DQB1*05:01  USA NMDP African 0.082528,557
 41  A*33:01-B*14:02-C*08:02-DRB1*01:02-DRBX*NNNN-DQB1*05:01  USA NMDP South Asian Indian 0.0788185,391
 42  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  India West UCBB 0.06865,829
 43  A*33:01-B*14:02-C*08:02-DRB1*01:02-DRBX*NNNN-DQB1*05:01  USA NMDP Filipino 0.066850,614
 44  A*33:01-B*14:02-C*08:02-DRB1*01:02-DRBX*NNNN-DQB1*05:01  USA NMDP African American pop 2 0.0650416,581
 45  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01-DPB1*04:02  Russia Karelia 0.05791,075
 46  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  China Zhejiang Han 0.05771,734
 47  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  India Central UCBB 0.04764,204
 48  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*29:01  United Arab Emirates Pop 1 0.0467570
 49  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01-DPB1*04:02  Germany DKMS - German donors 0.03933,456,066
 50  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.03853,456,066
 51  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  India North UCBB 0.03425,849
 52  A*33:01-B*14:02-C*08:02-DRB1*01:02-DRBX*NNNN-DQB1*05:01  USA NMDP Chinese 0.034099,672
 53  A*33:01:01-B*14:02:01-C*08:02-DRB1*01:02:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 54  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  India East UCBB 0.02082,403
 55  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  India South UCBB 0.013111,446
 56  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01-DPB1*05:01  Germany DKMS - German donors 0.01213,456,066
 57  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:13-DQB1*05:01:01  Poland BMR 0.004223,595
 58  A*33:01-B*14:02-C*08:02-DRB1*01:02-DRBX*NNNN-DQB1*05:01  USA NMDP Korean 0.002677,584
 59  A*33:01-B*14:02-C*08:02-DRB1*01:02-DRBX*NNNN-DQB1*05:01  USA NMDP Vietnamese 0.000129043,540

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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