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 50 (from 50) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*29-B*44-DRB1*13-DQB1*03:01  Mexico Nayarit Rural 0.781264
 2  A*02-B*44-DRB1*13-DQB1*03:01  Mexico Michoacan, Morelia 0.6623150
 3  A*02:01-B*44:02-DRB1*13:02-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 4  A*29-B*44-DRB1*13-DQB1*03:01  Mexico Tlaxcala, Tlaxcala city 0.5525181
 5  A*29-B*44-DRB1*13-DQB1*03:01  Mexico Nayarit, Tepic 0.515597
 6  A*11:01:01-B*44:03:02-C*03:04:01-DRB1*13:12:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 7  A*02:01:01:01-B*44:02:01-C*17:03-DRB1*13:01:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 8  A*23-B*44-DRB1*13-DQB1*03:01  Mexico Tamaulipas Rural 0.3968125
 9  A*25:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 10  A*11-B*44-DRB1*13-DQB1*03:01  Mexico Veracruz, Veracruz city 0.2907171
 11  A*26:01:01-B*44:02:01-C*07:04:01-DRB1*13:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 12  A*68:03-B*44:02-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*03:01-DPB1*02:01  Nicaragua Managua 0.2165339
 13  A*11:01-B*44:03-C*07:02-DRB1*13:02-DQB1*03:01  India Northeast UCBB 0.1689296
 14  A*03:01-B*44:03-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*02:01  Tanzania Maasai 0.1597336
 15  A*23:01-B*44:02-DRB1*13:03-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 16  A*29:01-B*44:02-DRB1*13:01-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 17  A*29:01-B*44:02-DRB1*13:03-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 18  A*02-B*44-DRB1*13-DQB1*03:01  Mexico Michoacan Rural 0.1433348
 19  A*01:01:01-B*44:02:01-C*05:01:01-DRB1*13:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.1141221
 20  A*23-B*44-DRB1*13-DQB1*03:01  Mexico Veracruz Rural 0.0924539
 21  A*02:17-B*44:02-C*16:04-DRB1*13:03-DQB1*03:01  Germany DKMS - Italy minority 0.08601,159
 22  A*34-B*44-DRB1*13-DQB1*03:01  Mexico Jalisco Rural 0.0853585
 23  A*33-B*44-DRB1*13:02-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 24  A*74:01-B*44:03-C*04:01-DRB1*13:03-DQB1*03:01  USA African American pop 4 0.04402,411
 25  A*74:01-B*44:03-C*14:03-DRB1*13:03-DQB1*03:01  USA African American pop 4 0.04402,411
 26  A*02:01:01-B*44:02:01-C*02:02:02-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 27  A*03:01:01:01-B*44:02:01-C*05:01:01:02-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 28  A*23:01-B*44:03-C*04:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.03104,856
 29  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 30  A*01:01-B*44:02-C*05:01-DRB1*13:04-DQB1*03:01  USA Hispanic pop 2 0.01201,999
 31  A*68:02-B*44:02-C*05:01-DRB1*13:04-DQB1*03:01  USA Hispanic pop 2 0.01201,999
 32  A*01:01-B*44:03-C*07:01-DRB1*13:04-DQB1*03:01  USA African American pop 4 0.01102,411
 33  A*30:02-B*44:03-C*07:01-DRB1*13:04-DQB1*03:01  USA African American pop 4 0.01102,411
 34  A*02:01-B*44:02-C*16:04-DRB1*13:05-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 35  A*03:01-B*44:05-C*02:02-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 36  A*33:03-B*44:03-C*07:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 37  A*11:01-B*44:03-C*07:06-DRB1*13:19-DQB1*03:01  India West UCBB 0.00865,829
 38  A*01:01-B*44:02-C*05:01-DRB1*13:49-DQB1*03:01  India North UCBB 0.00855,849
 39  A*02:11-B*44:03-C*07:06-DRB1*13:03-DQB1*03:01  India North UCBB 0.00855,849
 40  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.004723,595
 41  A*24:02:01-B*44:05:01-C*02:02:02-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002423,595
 42  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002223,595
 43  A*03:01:01-B*44:02:01-C*05:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002223,595
 44  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002223,595
 45  A*01:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 46  A*03:01:01-B*44:02:01-C*03:03:01-DRB1*13:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 47  A*23:01:01-B*44:03:01-C*16:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 48  A*25:01:01-B*44:02:01-C*07:04:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 49  A*26:01:01-B*44:02:01-C*16:04:01-DRB1*13:15-DQB1*03:01:01  Poland BMR 0.002123,595
 50  A*26:01:01-B*44:03:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.001523,595

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