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 201 to 300 (from 440) records   Pages: 1 2 3 4 5 of 5  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.94604,856
 202  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 203  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.9375405
 204  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Chihuahua, Ciudad Juarez 0.9259106
 205  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01  Costa Rica Guanacaste Mestizo (G) 0.9091110
 206  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.9050221
 207  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Jalisco, Zapopan 0.8929168
 208  A*01-B*08-DRB1*03  Iraq Erbil 0.8000372
 209  A*01-B*08-DRB1*03:01  Colombia Barranquilla 0.8000188
 210  A*01-B*08-DRB1*03:01-DQB1*02  Ecuador Andes Mixed Ancestry 0.7888824
 211  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Nayarit Rural 0.781264
 212  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Puebla Rural 0.7794833
 213  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Sonora Rural 0.7614197
 214  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Caribean Black 0.748133,328
 215  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Yucatan Rural 0.7463132
 216  A*01:01-B*08:01-DRB1*03:01  Israel Arab pop 2 0.740012,301
 217  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Mexico City North 0.7304751
 218  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Tabasco Rural 0.7042142
 219  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.7000215
 220  A*01:01-B*08:01-C*07:01-DRB1*03:01  Brazil Vale do Ribeira Quilombos 0.6944144
 221  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Guerrero state 0.6944144
 222  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Oaxaca, Oaxaca city 0.6623151
 223  A*01-B*08-C*07-DRB1*03  Macedonia MBMDR - Macedonian Muslims 0.657976
 224  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Mexico City Metropolitan Area Rural 0.6579150
 225  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.6536153
 226  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 0.6536153
 227  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP African 0.644828,557
 228  A*01-B*08-DRB1*03:01-DQB1*02  Ecuador Mixed Ancestry 0.63941,173
 229  A*01-B*08-C*07-DRB1*03-DQB1*02-DPB1*03  Norway ethnic Norwegians 0.61004,510
 230  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Tabasco, Villahermosa 0.609882
 231  A*01-B*08-DRB1*03  Germany pop 7 0.600013,386
 232  A*01-B*08-DRB1*03:01-DQB1*06  Mexico Zacatecas, Zacatecas city 0.595284
 233  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Rio de Janeiro Parda 0.5882170
 234  A*01-B*08-DRB1*03:50  Chile Santiago 0.5798920
 235  A*01-B*08-DRB1*03:01-DQB1*02:01  Bolivia La Paz Aymaras 0.575087
 236  A*01-B*08-DRB1*03:01-DQB1*02  Mexico San Luis Potosi Rural 0.574787
 237  A*01-B*08-DRB1*03:01-DQB1*06  Mexico San Luis Potosi Rural 0.574787
 238  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Sinaloa Rural 0.5464183
 239  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.5208192
 240  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Nayarit, Tepic 0.515597
 241  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Germany DKMS - German donors 0.48783,456,066
 242  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Veracruz Rural 0.4621539
 243  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.45243,456,066
 244  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.43835,829
 245  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*01:04:02-DQB1*05:03:01-DPA1*01:03:01-DPB1*04:02:01  Russian Federation Vologda Region 0.4202119
 246  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 247  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*23:01:01  Russian Federation Vologda Region 0.4202119
 248  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*01:01:01  Russian Federation Vologda Region 0.4202119
 249  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*01:01  Russian Federation Vologda Region 0.4202119
 250  A*01:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 251  A*01:01:01-B*08:01:01-C*12:03:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*06:02:01-DPA1*01:04:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 252  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Chihuahua Chihuahua City 0.4202119
 253  A*01-B*08-DRB1*03:01-DQB1*02  Ecuador Coast Mixed Ancestry 0.4202238
 254  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 255  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.41153,456,066
 256  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Oaxaca Rural 0.4107485
 257  A*01:01-B*08:04-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 0.4030124
 258  A*01:01-B*08:01-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Panama 0.3800462
 259  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.35055,849
 260  A*01-B*08-C*07-DRB1*03-DQB1*02-DPB1*02  Norway ethnic Norwegians 0.35004,510
 261  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Puyanawa 0.3333150
 262  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Puebla, Puebla city 0.32571,994
 263  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.32274,204
 264  A*01-B*08-DRB1*03-DQB1*06  Iraq Arabs 0.3200149
 265  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 266  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 267  A*01-B*08-DRB1*03  China Shaanxi Province Han 0.300010,000
 268  A*01-B*08-DRB1*03:01  USA NMDP Asian and Pacific Islander 0.3000359,423
 269  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Veracruz, Veracruz city 0.2907171
 270  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.28861,075
 271  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Filipino 0.260750,614
 272  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  USA San Diego 0.2600496
 273  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Japanese 0.245224,582
 274  A*01:01-B*08:01-DRB1*03:01  Israel Iran Jews 0.24308,153
 275  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Tlaxcala Rural 0.2410830
 276  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.238711,446
 277  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Nuevo Leon Rural 0.2273439
 278  A*01-B*08-DRB1*03:01-DQB1*03:01  Mexico Nuevo Leon, Monterrey city 0.2212226
 279  A*01:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - China minority 0.19501,282
 280  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*16:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 281  A*01:01-B*08:01-C*01:02-DRB1*03:01-DQB1*02:01-DPB1*01:01  Panama 0.1900462
 282  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Indian 0.1845271
 283  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.17801,772
 284  A*01:01-B*08:01-C*07:181-DRB1*03:01-DQB1*05:01-DPB1*233:01  Tanzania Maasai 0.1597336
 285  A*01:01-B*08:01-DRB1*03:01  Israel Kavkazi Jews 0.15902,840
 286  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.15262,492
 287  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*09:01  Germany DKMS - German donors 0.14093,456,066
 288  A*01-B*08-DRB1*03  Iran pop 4 0.1401855
 289  A*01:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356
 290  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.13752,403
 291  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.13604,856
 292  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*03:01  Russia Karelia 0.13151,075
 293  A*01:01-B*08:01-C*07:02-DRB1*03:01  Germany DKMS - Croatia minority 0.12602,057
 294  A*01-B*08-DRB1*03:07-DQB1*06  Mexico Coahuila, Torreon 0.1250396
 295  A*01:01-B*08:01-DRB1*03:01  Israel Druze 0.11105,914
 296  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.09941,510
 297  A*01-B*08-DRB1*03:68N  Chile Santiago 0.0981920
 298  A*01:01-B*08:01-C*07:02-DRB1*03:01  Germany DKMS - Spain minority 0.09001,107
 299  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.08901,772
 300  A*01:01-B*08:01-DRB1*03:01  Israel Bukhara Jews 0.08632,317

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 201 to 300 (from 440) records   Pages: 1 2 3 4 5 of 5  


   

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