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 66 (from 66) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01-B*37-DRB1*01-DQB1*05  Mexico Hidalgo, Pachuca 1.219541
 2  A*11-B*37-DRB1*01-DQB1*05  Mexico Sinaloa, Culiacán 0.4854103
 3  A*01-B*37-DRB1*01-DQB1*05  Mexico Chihuahua, Ciudad Juarez 0.4630106
 4  B*37:01-C*06:02-DRB1*01:03-DQB1*05:01  Mexico Mexico City Mestizo pop 2 0.4300234
 5  A*26:01-B*37:01-C*06:02-DRB1*01:03-DQB1*05:01  Mexico Mexico City Mestizo pop 2 0.4274234
 6  A*68:01-B*37:01-C*06:02-DRB1*01:03-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 7  B*37:01-C*06:02-DRB1*01:03-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 8  A*01-B*37-C*07-DRB1*01-DQB1*05  Albania pop 2 0.3400432
 9  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*02:01:01-DPB1*17:01  Russia Belgorod region 0.3268153
 10  A*01-B*37-DRB1*01-DQB1*05  Mexico Veracruz, Veracruz city 0.2907171
 11  A*01:01-B*37:01-C*06:02-DRB1*01:01-DQB1*05:01  Italy pop 5 0.2900975
 12  A*01:01-B*37:01-C*06:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  USA San Diego 0.2600496
 13  A*01-B*37-DRB1*01-DQB1*05  Mexico Coahuila Rural 0.2294216
 14  A*01-B*37-DRB1*01-DQB1*05  Mexico Chihuahua Rural 0.2092236
 15  A*24:02-B*37:01:01-C*06:02-DRB1*01:01:01-DQB1*05:01:01  England North West 0.2000298
 16  A*29-B*37-DRB1*01-DQB1*05  Mexico Veracruz Rural 0.1848539
 17  A*01:01-B*37:01-C*04:04-DRB1*01:02-DQB1*05:01-DPB1*04:01  Tanzania Maasai 0.1597336
 18  A*01-B*37-DRB1*01-DQB1*05  Mexico Michoacan Rural 0.1433348
 19  A*25-B*37-DRB1*01-DQB1*05  Mexico Coahuila, Torreon 0.1250396
 20  A*02-B*37-DRB1*01-DQB1*05  Mexico Oaxaca Rural 0.1027485
 21  A*01-B*37-DRB1*01-DQB1*05  Mexico Jalisco Rural 0.0853585
 22  A*02-B*37-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 23  A*25-B*37-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 24  A*01-B*37-DRB1*01-DQB1*05  Mexico Mexico City North 0.0664751
 25  A*01-B*37-DRB1*01-DQB1*05  Ecuador Andes Mixed Ancestry 0.0607824
 26  A*01-B*37-C*06-DRB1*01-DQB1*05-DPB1*04  Norway ethnic Norwegians 0.06004,510
 27  A*01-B*37-DRB1*01-DQB1*05  Mexico Puebla, Puebla city 0.05011,994
 28  A*02-B*37-DRB1*01-DQB1*05  Mexico Puebla, Puebla city 0.05011,994
 29  A*23-B*37-DRB1*01-DQB1*05  Mexico Puebla, Puebla city 0.05011,994
 30  A*01:01-B*37:01-C*06:02-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 31  A*33:03-B*37:01-C*06:02-DRB1*01:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 32  A*01:01-B*37:01-C*06:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.04301,159
 33  A*26:01-B*37:01-C*12:03-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.04301,159
 34  A*01-B*37-DRB1*01-DQB1*05  Ecuador Mixed Ancestry 0.04261,173
 35  A*03-B*37-DRB1*01-DQB1*05  Mexico Jalisco, Guadalajara city 0.04191,189
 36  A*68-B*37-DRB1*01-DQB1*05  Mexico Jalisco, Guadalajara city 0.04191,189
 37  A*11:01-B*37:01-C*06:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 38  A*11:01-B*37:01-C*06:02-DRB1*01:03-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 39  A*24:02:01:01-B*37:01:01-C*14:02:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 40  A*01-B*37-C*06-DRB1*01-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 41  A*24-B*37-C*06-DRB1*01-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 42  A*29:01:01-B*37:01:01-C*06:02:01-DRB1*01:01:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 43  A*01:01-B*37:01-C*06:02-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 44  A*31:01-B*37:01-C*01:02-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 45  A*03:01-B*37:01-C*06:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.02004,856
 46  A*01:01-B*37:01-C*06:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.01883,456,066
 47  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.012223,595
 48  A*01:01-B*37:01-C*06:02-DRB1*01:01-DQB1*05:01-DPB1*04:02  Germany DKMS - German donors 0.01183,456,066
 49  A*03:01-B*37:01-C*06:02-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.01102,411
 50  A*23:01-B*37:01-C*06:02-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.01102,411
 51  A*02:11-B*37:01-C*12:02-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.01002,492
 52  A*02:01-B*37:01-C*06:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 53  A*03:02-B*37:01-C*06:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 54  A*68-B*37-C*06-DRB1*01-DQB1*05-DPB1*06  Norway ethnic Norwegians 0.01004,510
 55  A*01:01-B*37:01-C*06:02-DRB1*01:01-DQB1*05:01  India North UCBB 0.00875,849
 56  A*24:02-B*37:04-C*06:02-DRB1*01:01-DQB1*05:01  India West UCBB 0.00865,829
 57  A*03:01-B*37:01-C*06:02-DRB1*01:01-DQB1*05:01  India North UCBB 0.00855,849
 58  A*32:01-B*37:01-C*06:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.005511,446
 59  A*24:02-B*37:01-C*06:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.004411,446
 60  A*23:01-B*37:01-C*04:01-DRB1*01:01-DQB1*05:01  India South UCBB 0.004311,446
 61  A*03:01:01-B*37:01:01-C*06:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002623,595
 62  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002423,595
 63  A*24:02:01-B*37:01:01-C*06:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002223,595
 64  A*29:02:01-B*37:01:01-C*06:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 65  A*32:01:01-B*37:01:01-C*06:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.001923,595
 66  A*68:01:02-B*37:01:01-C*06:02:01-DRB1*01:03-DQB1*05:01:01  Poland BMR 0.000529823,595

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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional