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 81 (from 81) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01  United Arab Emirates Abu Dhabi 2.880052
 2  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 1.3250186
 3  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 1.256511,446
 4  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 1.09952,403
 5  A*11-B*52-C*12-DRB1*15-DQB1*06  Iraq Kurdistan Region 1.0000209
 6  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.98925,829
 7  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.89084,204
 8  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.87615,849
 9  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP South Asian Indian 0.8342185,391
 10  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.7380271
 11  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Northeast UCBB 0.6757296
 12  A*11-B*52-C*12:02-DRB1*15:02-DQB1*06  Russia Transbaikal Territory Buryats 0.6670150
 13  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Southeast Asian 0.606327,978
 14  A*11:01:01-B*52:01:01-C*12:02:01-DRB1*15:02:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.5750174
 15  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Middle Eastern or North Coast of Africa 0.567370,890
 16  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.55804,856
 17  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.4902714
 18  A*11:01-B*52:01:01-C*12:02:02-DRB1*15:02-DQA1*01:03:01-DQB1*06:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 19  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.37501,772
 20  A*11-B*52-C*12-DRB1*15-DQB1*06  Albania pop 2 0.3400432
 21  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Hispanic pop 2 0.32701,999
 22  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.32012,492
 23  A*11:01:01-B*52:01-C*12:02:01-DRB1*15:02:01-DQB1*06:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.269728,927
 24  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:02-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 25  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Mexican or Chicano 0.2543261,235
 26  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Italy minority 0.21201,159
 27  A*11:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.20422,492
 28  A*11:29-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 29  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA NMDP Caribean Indian 0.179714,339
 30  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.17104,335
 31  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Japanese 0.160424,582
 32  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*04:01  Russia Karelia 0.15121,075
 33  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Hispanic South or Central American 0.1439146,714
 34  A*11:01:01-B*52:01:01-C*12:02:01-DRB1*15:02:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 35  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA NMDP American Indian South or Central America 0.13975,926
 36  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP European Caucasian 0.13571,242,890
 37  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Caribean Hispanic 0.1142115,374
 38  A*11:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.10195,849
 39  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.10003,078
 40  A*11:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.08901,772
 41  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Chinese 0.080999,672
 42  A*11-B*52-C*12-DRB1*15-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.07821,743
 43  A*11:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.07645,829
 44  A*11:01-B*52:01-C*12:02-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*26:01  Sri Lanka Colombo 0.0700714
 45  A*11:01-B*52:01-C*12:02-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*28:01  Sri Lanka Colombo 0.0700714
 46  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*26:01  Sri Lanka Colombo 0.0700714
 47  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*04:01  Germany DKMS - German donors 0.06313,456,066
 48  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Korean 0.060677,584
 49  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  China Zhejiang Han 0.05961,734
 50  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP North American Amerindian 0.058535,791
 51  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Caribean Black 0.055733,328
 52  A*11:01-B*52:04-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.05164,204
 53  A*11:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.047211,446
 54  A*11:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 55  A*11:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  USA Asian pop 2 0.04401,772
 56  A*11:01-B*52:04-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.04232,403
 57  A*11:01-B*52:04-C*12:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.03574,204
 58  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:02-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 59  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP African 0.028928,557
 60  A*11:01-B*52:04-C*12:02-DRB1*15:01-DQB1*06:02  India East UCBB 0.02792,403
 61  A*11:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.02632,492
 62  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Colombia Bogotá Cord Blood 0.02531,463
 63  A*11:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.02384,204
 64  A*11:01-B*52:01-C*12:40-DRB1*15:02-DQB1*06:01  India East UCBB 0.02082,403
 65  A*11-B*52-C*12-DRB1*15-DQB1*06-DPB1*03  Norway ethnic Norwegians 0.02004,510
 66  A*11:01-B*52:04-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.01255,849
 67  A*11:01-B*52:04-C*12:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.01194,204
 68  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP African American pop 2 0.0114416,581
 69  A*11-B*52-C*12-DRB1*15-DQB1*06-DPB1*21  Myanmar Bamar 0.010946
 70  A*11:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.01065,829
 71  A*11-B*52-C*12-DRB1*15-DQB1*06-DPB1*01  Norway ethnic Norwegians 0.01004,510
 72  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.009123,595
 73  A*11:01-B*52:04-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.00865,829
 74  A*11:03-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.00855,849
 75  A*11:01-B*52:04-C*12:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.00845,849
 76  A*11:01-B*52:04-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.006311,446
 77  A*11:44-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.004711,446
 78  A*11:01-B*52:04-C*12:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.004611,446
 79  A*11:01-B*52:19-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.004411,446
 80  A*11:03-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.004411,446
 81  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Vietnamese 0.000178043,540

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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