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 64 (from 64) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03921,510
 2  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 3  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.06621,510
 4  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 5  A*01:01:01:01-B*08:01:01-C*08:02:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Bashkirs 0.4167120
 6  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.188123,595
 7  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.9300215
 8  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 9  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 10  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 11  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.019523,595
 12  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.008523,595
 13  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:03:01-DQB1*06:04:01  Poland BMR 0.002123,595
 14  A*01:01-B*08:01-C*03:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.00855,849
 15  A*01:01-B*08:01-C*07:01-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.17831,463
 16  A*01:01-B*08:01-C*07:01-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.31001,999
 17  A*01:01-B*08:01-C*07:01-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.05523,456,066
 18  A*01:01-B*08:01-C*07:01-DRB1*13:01-DQB1*06:03-DPB1*03:01  Germany DKMS - German donors 0.01963,456,066
 19  A*01:01-B*08:01-C*07:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.05233,456,066
 20  A*01:01-B*08:01-C*07:01-DRB1*13:01-DQB1*06:03-DPB1*04:02  Germany DKMS - German donors 0.02063,456,066
 21  A*01:01-B*08:01-C*07:01-DRB1*13:01-DQB1*06:03-DPB1*05:01  Germany DKMS - German donors 0.01033,456,066
 22  A*01:01-B*08:01-C*07:01-DRB1*13:01-DQB1*06:03-DPB1*09:01  Russia Karelia 0.05651,075
 23  A*01:01-B*08:01-C*07:01-DRB1*13:01-DQB1*06:03-DPB1*19:01  Germany DKMS - German donors 0.03473,456,066
 24  A*01:01-B*08:01-C*07:01-DRB1*13:02:01-DQB1*06:04  England North West 0.3000298
 25  A*01:01-B*08:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*02:01  Germany DKMS - German donors 0.01153,456,066
 26  A*01:01-B*08:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*03:01  Germany DKMS - German donors 0.02733,456,066
 27  A*01:01-B*08:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*04:01  Germany DKMS - German donors 0.02773,456,066
 28  A*01:01-B*08:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*04:02  Russia Karelia 0.05651,075
 29  A*01:01-B*08:01-C*07:01-DRB1*13:10-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 30  A*01:01-B*08:01-C*07:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.02172,492
 31  A*01:01-B*08:01-C*07:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.01214,204
 32  A*01:01-B*08:01-C*07:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.01745,829
 33  A*01:01-B*08:01-C*07:02-DRB1*13:02-DQA1*01:02-DQB1*06:04  United Arab Emirates Abu Dhabi 0.960052
 34  A*01:01-B*08:01-C*07:02-DRB1*13:02-DQB1*06:04  India North UCBB 0.00865,849
 35  A*01:01-B*08:01-C*07:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.01855,849
 36  A*01:01-B*08:01-C*07:04-DRB1*13:02-DQB1*06:03-DPB1*02:01  Tanzania Maasai 0.1597336
 37  A*01:01-B*08:01-C*07:04-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.02202,411
 38  A*01:01-B*08:01-C*07:04-DRB1*13:02-DQB1*06:09-DPB1*02:01  Tanzania Maasai 0.4792336
 39  A*01:01-B*08:01-C*07:04-DRB1*13:02-DQB1*06:09-DPB1*03:01  Tanzania Maasai 0.4792336
 40  A*01:01-B*08:01-C*07:04-DRB1*13:02-DQB1*06:09-DPB1*04:01  Tanzania Maasai 0.1597336
 41  A*01:01-B*08:01-C*07:04-DRB1*13:02-DQB1*06:09-DPB1*17:01  Tanzania Maasai 0.1597336
 42  A*01:01-B*08:01-C*07:181-DRB1*13:02-DQB1*06:09-DPB1*04:01  Tanzania Maasai 0.1597336
 43  A*01:01-B*08:01-C*07:328-DRB1*13:02-DQB1*06:04-DPB1*03:01  Tanzania Maasai 0.1597336
 44  A*01:01-B*08:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03  Kosovo 0.8060124
 45  A*01:03-B*08:01-C*07:02-DRB1*13:02-DQB1*06:04  India Central UCBB 0.01194,204
 46  A*01-B*08-C*07-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.24111,743
 47  A*01-B*08-C*07-DRB1*13-DQB1*06-DPB1*02  Norway ethnic Norwegians 0.01004,510
 48  A*01-B*08-C*07-DRB1*13-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.08004,510
 49  A*01-B*08-C*07-DRB1*13-DQB1*06-DPB1*19  Norway ethnic Norwegians 0.02004,510
 50  A*01-B*08-DRB1*13-DQB1*06  Ecuador Coast Mixed Ancestry 0.2101238
 51  A*01-B*08-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.04261,173
 52  A*01-B*08-DRB1*13-DQB1*06  Mexico Puebla, Puebla city 0.07521,994
 53  A*01-B*08-DRB1*13-DQB1*06  Mexico Jalisco, Guadalajara city 0.20941,189
 54  A*01-B*08-DRB1*13-DQB1*06  Mexico Zacatecas, Fresnillo 0.9524103
 55  A*01-B*08-DRB1*13-DQB1*06  Mexico Coahuila, Torreon 0.1250396
 56  A*01-B*08-DRB1*13-DQB1*06  Mexico Chihuahua Chihuahua City 0.4202119
 57  A*01-B*08-DRB1*13-DQB1*06  Mexico Sonora, Ciudad Obregón 0.3497143
 58  A*01-B*08-DRB1*13-DQB1*06  Mexico San Luis Potosi Rural 0.574787
 59  A*01-B*08-DRB1*13-DQB1*06  Mexico Sonora Rural 0.2538197
 60  A*01-B*08-DRB1*13-DQB1*06  Mexico Durango Rural 0.9174326
 61  A*01-B*08-DRB1*13-DQB1*06  Mexico Coahuila Rural 0.2294216
 62  A*01-B*08-DRB1*13-DQB1*06  Mexico Jalisco Rural 0.5973585
 63  A*01-B*08-DRB1*13-DQB1*06  Mexico Nuevo Leon Rural 0.1136439
 64  A*01-B*08-DRB1*13-DQB1*06  Mexico Puebla Rural 0.1199833

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