Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 100 (from 112) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*51-C*16:02-DRB1*11-DQB1*03  Russia North Ossetian 3.1500127
 2  A*02-B*51-C*16-DRB1*11-DQB1*03  Iraq Kurdistan Region 1.1000209
 3  A*02:01-B*51:01-C*16:02-DRB1*11:01-DQA1*01:02-DQB1*03:01  United Arab Emirates Abu Dhabi 0.960052
 4  A*02:01-B*51:01-C*16:02-DRB1*11:02-DQB1*03:01  USA NMDP Caribean Indian 0.756214,339
 5  A*02:01-B*51:01-C*16:02-DRB1*11:02-DRB3*02:02-DQB1*03:01  USA NMDP Caribean Hispanic 0.6498115,374
 6  A*02:01-B*51:01-C*16:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.44104,856
 7  A*02:01:01:01-B*51:01:01-C*16:02:01-DRB1*11:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 8  A*68:01-B*51:01-C*16:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPB1*04:02  Nicaragua Managua 0.2165339
 9  A*02:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.21601,159
 10  A*02:01:01-B*51:01:01-C*16:01:01-DRB1*11:02:01-DQB1*03:19:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 11  A*02:11-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Indian 0.1845271
 12  A*24:02-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Indian 0.1845271
 13  A*26:01:01-B*51:01:01-C*16:02:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 14  A*02:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.12372,403
 15  A*02:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.10904,856
 16  A*02:01-B*51:01-C*16:02-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 17  A*02:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:02  Germany DKMS - Turkey minority 0.09404,856
 18  A*02:01-B*51:01-C*16:02-DRB1*11:02-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 19  A*02:11-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.08901,772
 20  A*34:02-B*51:01-C*16:01-DRB1*11:02-DQB1*03:01  USA African American pop 4 0.08702,411
 21  A*03:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 22  A*24:02-B*51:01-C*16:02-DRB1*11:04-DQB1*03:01  India North UCBB 0.05985,849
 23  A*02:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.05925,849
 24  A*02:01-B*51:01-C*16:02-DRB1*11:08-DQB1*03:01  India Tamil Nadu 0.05022,492
 25  A*02:01-B*51:08-C*16:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.05022,492
 26  A*02:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.04764,204
 27  A*24:02-B*51:01-C*16:01-DRB1*11:04-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 28  A*01:01-B*51:01-C*16:01-DRB1*11:02-DQB1*03:01  USA African American pop 4 0.04402,411
 29  A*11:01-B*51:01-C*16:02-DRB1*11:04-DQB1*03:01  USA Asian pop 2 0.04401,772
 30  A*02:01-B*51:01-C*16:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 31  A*11:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.04152,403
 32  A*03:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.04135,829
 33  A*03:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.04104,856
 34  A*26:01-B*51:08-C*16:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.03942,492
 35  A*02:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.037211,446
 36  A*02:01-B*51:01-C*16:02-DRB1*11:02-DRB3*02:02-DQB1*03:01  USA NMDP Hispanic South or Central American 0.0343146,714
 37  A*01:01-B*51:01-C*16:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 38  A*01:01-B*51:01-C*16:01-DRB1*11:02-DQB1*03:19  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 39  A*26:01-B*51:01-C*16:01-DRB1*11:02-DQB1*03:19  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 40  A*26:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 41  A*02:01:01:01-B*51:01:01-C*16:02:01-DRB1*11:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 42  A*03:20-B*51:08:01-C*16:02:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 43  A*24-B*51-C*16-DRB1*11-DQA1*05-DQB1*03  Spain, Castilla y Leon, Northwest, 0.03281,743
 44  A*02:01-B*51:01-C*16:02-DRB1*11:02-DRB3*02:02-DQB1*03:01  USA NMDP Mexican or Chicano 0.0295261,235
 45  A*68:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.02705,829
 46  A*02:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.02545,829
 47  A*11:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.02384,204
 48  A*68:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.02315,849
 49  A*31:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.023011,446
 50  A*68:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.02212,492
 51  A*03:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:02  Germany DKMS - Turkey minority 0.02204,856
 52  A*24:02-B*51:01-C*16:02-DRB1*11:04-DQB1*03:01  India Central UCBB 0.02094,204
 53  A*03:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 54  A*03:01-B*51:01-C*16:02-DRB1*11:04-DQB1*03:01  India East UCBB 0.02082,403
 55  A*03:02-B*51:01-C*16:02-DRB1*11:04-DQB1*03:01  India North UCBB 0.02075,849
 56  A*24:02-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.02012,492
 57  A*02-B*51-C*16-DRB1*11-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.02004,510
 58  A*26:01-B*51:01-C*16:02-DRB1*11:04-DQB1*03:01  India North UCBB 0.01945,849
 59  A*02:01-B*51:08-C*16:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.01804,856
 60  A*31:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.01792,492
 61  A*24:02-B*51:01-C*16:02-DRB1*11:11-DQB1*03:01  India North UCBB 0.01715,849
 62  A*02:11-B*51:01-C*16:02-DRB1*11:04-DQB1*03:01  India Central UCBB 0.01454,204
 63  A*03:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01314,204
 64  A*01:01-B*51:01-C*16:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.01304,856
 65  A*02:01:01-B*51:01:01-C*16:01:01-DRB1*11:02:01-DQB1*03:19:01  Poland BMR 0.012723,595
 66  A*11:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.01245,849
 67  A*11:01-B*51:01-C*16:02-DRB1*11:04-DQB1*03:01  India Central UCBB 0.01194,204
 68  A*11:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.011611,446
 69  A*26:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01144,204
 70  A*01:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.01065,849
 71  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*11:01:01-DQB1*03:02:01  Poland BMR 0.010623,595
 72  A*24:02-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.01055,849
 73  A*26:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.01035,829
 74  A*02:01-B*51:01-C*16:02-DRB1*11:03-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 75  A*02:05-B*51:01-C*16:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 76  A*23:01-B*51:08-C*16:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 77  A*26:01-B*51:01-C*16:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 78  A*30:01-B*51:01-C*16:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 79  A*31:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 80  A*68-B*51-C*16-DRB1*11-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.01004,510
 81  A*02:01-B*51:01-C*16:02-DRB1*11:02-DRB3*02:02-DQB1*03:01  USA NMDP Caribean Black 0.009333,328
 82  A*03:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.008811,446
 83  A*02:01-B*51:01-C*16:02-DRB1*11:02-DRB3*02:02-DQB1*03:01  USA NMDP Middle Eastern or North Coast of Africa 0.008870,890
 84  A*02:01-B*51:01-C*16:02-DRB1*11:08-DQB1*03:01  India South UCBB 0.008711,446
 85  A*03:02-B*51:01-C*16:02-DRB1*11:04-DQB1*03:01  India West UCBB 0.00865,829
 86  A*23:01-B*51:01-C*16:02-DRB1*11:04-DQB1*03:01  India West UCBB 0.00865,829
 87  A*30:02-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.00865,829
 88  A*31:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.00855,849
 89  A*31:01-B*51:08-C*16:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.00855,849
 90  A*32:01-B*51:01-C*16:02-DRB1*11:04-DQB1*03:01  India North UCBB 0.00855,849
 91  A*24:02-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.007611,446
 92  A*02:01-B*51:01-C*16:02-DRB1*11:02-DRB3*02:02-DQB1*03:01  USA NMDP European Caucasian 0.00731,242,890
 93  A*02:11-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.00635,849
 94  A*26:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.005711,446
 95  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.005223,595
 96  A*02:11-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.004911,446
 97  A*02:09-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.004511,446
 98  A*02:06-B*51:01-C*16:02-DRB1*11:04-DQB1*03:01  India South UCBB 0.004411,446
 99  A*02:436-B*51:08-C*16:02-DRB1*11:08-DQB1*03:01  India South UCBB 0.004411,446
 100  A*31:01-B*51:01-C*16:02-DRB1*11:08-DQB1*03:01  India South UCBB 0.004411,446

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).


Displaying 1 to 100 (from 112) records   Pages: 1 2 of 2  


   

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.

support@allelefrequencies.net


Valid XHTML 1.0 Transitional