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 101 to 200 (from 5,824) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 59  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*33:03-B*52:12-DRB1*15:02  Malaysia Mandailing 1.851927
 102  A*32:01-B*52:01-DRB1*15:02  Israel Morocco Jews 1.850036,718
 103  A*24-B*52-C*07-DRB1*11  Myanmar Chin 1.818055
 104  A*24-B*52-C*12-DRB1*12  Myanmar Kayah 1.818055
 105  A*68-B*52-C*07-DRB1*15  Myanmar Chin 1.818055
 106  A*01:01-B*52:01  Mexico Mestizo 1.800041
 107  A*26:01-B*52:01-DRB1*15:02  Israel Druze 1.77005,914
 108  B*52:01-C*03:03-DRB1*14:06-DQB1*03:01  Mexico Mexico City Mestizo population 1.7483143
 109  A*02:02-B*52:01-DRB1*15:02  Israel Druze 1.74005,914
 110  A*33:03-B*52:01-DRB1*08:12  Malaysia Champa 1.724129
 111  A*01-B*52-DRB1*15:02-DQB1*06:01  Macedonia pop 3 1.7000172
 112  A*02:03:01-B*52:01:01-C*07:02:01-DRB1*14:04-DQB1*03:01:01-DPB1*04:02  China Yunnan Province Lisu 1.7000111
 113  A*24-B*52:01:01-C*07:02:01-DRB1*12:02:01-DQB1*03:01:01-DPB1*28:01  China Yunnan Province Lisu 1.7000111
 114  A*24-B*52:01:01-C*07:02:01-DRB1*12:02:01-DQB1*03:01:01-DPB1*28:01  China Yunnan Province Nu 1.7000107
 115  A*11-B*52-C*07-DRB1*14  Myanmar Kachin 1.674063
 116  A*02-B*52-DRB1*08-DQB1*04  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 117  A*02-B*52-DRB1*14-DQB1*03:01  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 118  A*30-B*52-DRB1*15-DQB1*06  Mexico Veracruz, Orizaba 1.666760
 119  A*31-B*52-DRB1*14-DQB1*03:01  Mexico Jalisco, Tlajomulco 1.666730
 120  A*68-B*52-DRB1*04-DQB1*03:02  Mexico Jalisco, Tlajomulco 1.666730
 121  A*02-B*52-DRB1*14-DQB1*03:01  Mexico Tlaxcala, Tlaxcala city 1.6575181
 122  A*02-B*52-C*07-DRB1*04  Myanmar Kayin 1.651044
 123  A*01:01-B*52:01-DRB1*15:02  Israel Libya Jews 1.65003,739
 124  A*02-B*52-DRB1*14-DQB1*03:01  Mexico Mexico City Metropolitan Area Rural 1.6447150
 125  A*02:11:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 1.6129186
 126  A*01:01-B*52:01-DRB1*15:02  Israel Tunisia Jews 1.61009,070
 127  A*01-B*52-C*12-DRB1*15-DQB1*06  Iraq Kurdistan Region 1.6000209
 128  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Aguascalientes state 1.578995
 129  B*52-C*12  Macedonia 1.5734286
 130  A*02-B*52-DRB1*14-DQB1*03:01  Mexico Nayarit Rural 1.562564
 131  B*52:01:01-C*12:02:01-DRB1*12:02:01  China Jingpo Minority 1.5620105
 132  A*02:01-B*52:01-DRB1*08:02  Mexico Oaxaca Jamiltepec Mixtec 1.560096
 133  A*01:01-B*52:01-DRB1*15:02  Israel Druze 1.55005,914
 134  A*02-B*52-DRB1*14-DQB1*03:01  Mexico Nuevo Leon, Monterrey city 1.5487226
 135  A*03-B*52-C*06-DRB1*11-DQB1*03  Sudan Khartoum 1.540098
 136  A*01:01-B*52:01-DRB1*15:02  Israel Arab pop 2 1.510012,301
 137  A*02:01:01-B*52:01:02  Mexico Guadalajara Mestizo pop 2 1.5000103
 138  A*11-B*52-DRB1*15:02-DQA1*01:03-DQB1*06:01  Morocco 1.500096
 139  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*05:01  Japan Central 1.5000371
 140  A*24-B*52-C*12  South Korea pop 1 1.5000324
 141  B*52:01-C*03:03  USA Hispanic 1.5000234
 142  B*52:01-C*12:02  USA Asian 1.5000358
 143  B*52:01:01-C*12:02:01  China Jingpo Minority 1.4710105
 144  A*02-B*52-DRB1*14-DQB1*03:01  Mexico Mexico City West 1.470633
 145  A*02:01:01-B*52:01:02-C*15:02:01-DRB1*04:04:01-DQB1*03:02:01-DPA1*03:01:01-DPB1*03:01:01  Brazil Rio de Janeiro Black 1.470668
 146  A*11-B*52-DRB1*15-DQB1*06  Mexico Jalisco, Tonala 1.428635
 147  A*30-B*52-DRB1*07-DQB1*02  Mexico Jalisco, Tonala 1.428635
 148  A*24:02:01-B*52:01:01  China Jingpo Minority 1.4240105
 149  A*01-B*52-DRB1*15  Iraq Erbil 1.4000372
 150  A*02:01-B*52:01  Oman 1.4000118
 151  A*11-B*52  Russia South Ural Bashkir 1.4000146
 152  B*52:01-C*16:01  USA African American 1.4000252
 153  A*02:01-B*52:01-C*03:03-DRB1*14:06-DQB1*03:01  Mexico Mexico City Mestizo population 1.3986143
 154  A*02-B*52-DRB1*14-DQB1*03:01  Mexico Sonora, Ciudad Obregón 1.3986143
 155  A*02-B*52-DRB1*15-DQB1*06  Mexico Sonora, Ciudad Obregón 1.3986143
 156  B*52-DRB1*15  Macedonia 1.3986286
 157  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Chihuahua, Ciudad Juarez 1.3889106
 158  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Coahuila, Saltillo 1.369972
 159  A*26:01-B*52:01-DRB1*04:04  Israel Bukhara Jews 1.34002,317
 160  A*01-B*52-DRB1*15-DQB1*06  Mexico Baja California, La Paz 1.333375
 161  A*11-B*52-DRB1*15-DQB1*06  Mexico Baja California, La Paz 1.333375
 162  A*24-B*52-DRB1*04-DQB1*03:02  Mexico Baja California, La Paz 1.333375
 163  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
 164  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*09:01  USA San Diego 1.3020496
 165  A*01:01-B*52:01-DRB1*15:02  Azores Oriental Islands 1.300043
 166  A*02-B*52-DRB1*13-DQB1*03:01  Ecuador Amazonia Mixed Ancestry 1.282139
 167  A*01:01-B*52:01-DRB1*01:01  Gaza 1.282042
 168  A*01:01-B*52:01-DRB1*03:01  Gaza 1.282042
 169  A*03:01-B*52:01-DRB1*15:02  Gaza 1.282042
 170  B*52:01-C*03:03  Mexico Mexico City Mestizo pop 2 1.2800234
 171  A*11:01-B*52:01-DRB1*15:02  Israel Argentina Jews 1.27004,307
 172  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 1.256511,446
 173  A*33:03:01-B*52:01:01  China Jingpo Minority 1.2520105
 174  A*02-B*52-DRB1*14-DQB1*03:01  Mexico Hidalgo Rural 1.234681
 175  A*68-B*52-DRB1*14-DQB1*03:01  Mexico Hidalgo Rural 1.234681
 176  B*52:01-C*12:02  USA Hispanic pop 2 1.22901,999
 177  B*52:01-C*16:01  USA African American pop 4 1.22602,411
 178  A*02-B*52-DRB1*08-DQB1*04  Mexico Hidalgo, Pachuca 1.219541
 179  A*02-B*52-DRB1*14-DQB1*03:01  Mexico Hidalgo, Pachuca 1.219541
 180  A*02-B*52-DRB1*14-DQB1*03:01  Mexico Tabasco, Villahermosa 1.219582
 181  A*24-B*52-DRB1*14-DQB1*03:01  Mexico Hidalgo, Pachuca 1.219541
 182  A*11:01-B*52:01-DRB1*15:02  Israel Poland Jews 1.210013,871
 183  A*01-B*52:01:01-DRB1*15:02-DQB1*06:01  Tunisia Ghannouch 1.200082
 184  A*03:01-B*52:01  USA Hispanic 1.2000234
 185  A*03-B*52-C*12-DRB1*15-DQB1*06  Iraq Kurdistan Region 1.2000209
 186  A*24-B*52-DRB1*15:02  South Korea pop 1 1.2000324
 187  A*24-B*52-DRB1*15:02  USA NMDP Asian and Pacific Islander 1.2000359,423
 188  A*68:01-B*52:01:02-C*15:03-DRB1*08:07-DQA1*04:01-DQB1*04:02-DPA1*02-DPB1*14:01  Venezuela Sierra de Perija Yucpa 1.200073
 189  A*74-B*52-DRB1*13:01-DQB1*06:03  Colombia San Basilio de Palenque 1.191042
 190  A*03-B*52-DRB1*14-DQB1*03:02  Mexico Zacatecas, Zacatecas city 1.190584
 191  A*01-B*52-DRB1*15-DQB1*06  Mexico Michoacan Rural 1.1461348
 192  A*24-B*52-DRB1*14-DQB1*03:01  Mexico Colima Rural 1.136443
 193  A*24-B*52-DRB1*14-DQB1*03:01  Mexico Nuevo Leon Rural 1.1364439
 194  A*02-B*52-C*07-DRB1*04-DQB1*03-DPB1*02  Myanmar Kayin 1.136044
 195  A*02-B*52-C*07-DRB1*04-DQB1*03-DPB1*09  Myanmar Kayin 1.136044
 196  A*24-B*52-C*07-DRB1*04-DQB1*03-DPB1*05  Myanmar Kayin 1.136044
 197  A*24-B*52-C*07-DRB1*04-DQB1*05-DPB1*02  Myanmar Kayin 1.136044
 198  A*11-B*52-DRB1*15-DQB1*06  Mexico Yucatan Rural 1.1194132
 199  A*02-B*52-DRB1*01-DQB1*05  Mexico Veracruz, Poza Rica 1.111145
 200  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Queretaro, Queretaro city 1.111145

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 101 to 200 (from 5,824) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 59  


   

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