Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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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 13,496) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 135  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  DRB1*07:01-DQA1*02:01-DQB1*05:01  India Northeast Lachung 2.600058
 202  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Korean 2.596977,584
 203  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Central UCBB 2.58154,204
 204  A*23:01-B*41:01-DRB1*07:01  Gaza 2.564042
 205  A*03:02-B*13:02-DRB1*07:01  Israel Morocco Jews 2.530036,718
 206  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Southeast Asian 2.512727,978
 207  A*02-B*35-DRB1*07:01-DQB1*02  Cuba Mixed 2.500078
 208  DRB1*07:01-DQA1*02:01-DQB1*03:03  Russia Northwest Slavic 2.5000200
 209  DRB1*07:01-DQB1*02:01  Vietnam Hanoi Kinh 2.5000103
 210  DRB1*07:01-DQB1*03:03  Vietnam Hanoi Kinh 2.5000103
 211  A*33:03-B*44:03-DRB1*07:01  South Korea pop 10 2.46004,128
 212  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Kosovo 2.4190124
 213  A*32:01-B*44:03-C*04:01-DRB1*07:01  Russia Bering Island Aleuts 2.4038104
 214  A*02-B*44-DRB1*07:01-DQB1*02:02  Tunisia Ghannouch 2.400082
 215  DRB1*07:01-DQA1*01:01-DQB1*03:02  Russia Siberia Gvaysugi Udege 2.400025
 216  DRB1*07:01-DRB4*01:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  USA San Francisco Caucasian 2.4000220
 217  DRB1*07:01-DRB4*01:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  USA San Francisco Caucasian 2.4000220
 218  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India South UCBB 2.381211,446
 219  A*02:01:01-B*44:03:01-C*15:05:02-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Black 2.381073
 220  A*03:01:01-B*07:06:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:04-DPB1*11:01:01  Brazil Barra Mansa Rio State Black 2.381073
 221  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*17:01:01  Brazil Barra Mansa Rio State Black 2.381073
 222  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*02:01-DPB1*17:01  China Zhejiang Han pop 2 2.3340833
 223  A*29:02-B*44:03-C*16:01-DRB1*07:01  USA Spain Ancestry 2.3300279
 224  DRB1*07:01:01-DQB1*03:03:02  India Mumbai Maratha 2.320091
 225  A*33:01-B*14:02-DRB1*07:01-DQB1*03:03  Chile Mapuche 2.310066
 226  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 2.30612,492
 227  A*02:01-B*51:01-DRB1*07:01  Sao Tome Island Forro 2.300066
 228  A*30:01-B*13:02-DRB1*07:01  China Beijing Shijiazhuang Tianjian Han 2.3000618
 229  DRB1*07:01-DQA1*02:01-DQB1*02:01/02:02  Russia Tuva Todja 2.300022
 230  DRB1*07:01-DQA1*02:01-DQB1*03:03  England pop 6 2.3000177
 231  DRB1*07:01-DQA1*03-DQB1*06:02  Russia Siberia Sulamai Ket 2.300022
 232  DRB1*07:01-DQA1*05:01-DQB1*03:02  Russia Siberia Sulamai Ket 2.300022
 233  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01  Costa Rica Amerindians (G) 2.2681125
 234  A*02:02-B*50:01-DRB1*07:01  Israel Tunisia Jews 2.26009,070
 235  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Korean 2.258577,584
 236  A*02:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 2.24501,028
 237  A*01:01:01-B*57:01:01-C*06:02-DRB1*07:01  South Africa Caucasians 2.2200102
 238  A*02-B*44-DRB1*07:01-DQB1*02  Spain North Cabuerniga 2.200095
 239  A*29:02:01-B*44:03-C*16:01:01-DRB1*07:01:01-DQB1*02:01  England North West 2.2000298
 240  A*29:02-B*44:03:01-DRB1*07:01:01  Portugal North 2.200046
 241  A*29-B*44-DRB1*07:01-DQB1*02  Spain North Cabuerniga 2.200095
 242  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  South Korea pop 2 2.2000207
 243  DRB1*07:01-DQA1*02:01-DQB1*03:03  Italy Sardinia Sorgono 2.200093
 244  A*30:01-B*13:02-DRB1*07:01  South Korea pop 10 2.19004,128
 245  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India North UCBB 2.18365,849
 246  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*03:03  USA NMDP South Asian Indian 2.1760185,391
 247  A*01:01-B*35:08-DRB1*07:01  Israel Libya Jews 2.17003,739
 248  A*29-B*44-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 2.1611641
 249  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India West UCBB 2.16055,829
 250  A*23:01:01-B*50:01:01-DRB1*07:01:01:01  Libya Cyrenaica 2.1200118
 251  A*29-B*44-DRB1*07:01  Chile Santiago 2.1165920
 252  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Vietnam Hanoi Kinh pop 2 2.1000170
 253  A*29:02-B*44:03-DRB1*07:01  Ireland Northern 2.10001,000
 254  DRB1*07:01-DQB1*02:02-DPB1*13:01  South Korea pop 1 2.1000324
 255  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01  China Jingpo Minority 2.0830105
 256  A*33:03:01-B*44:03:02-DRB1*07:01:01  China Jingpo Minority 2.0830105
 257  B*44:03:02-C*07:01:01-DRB1*07:01:01  China Jingpo Minority 2.0830105
 258  B*44:03:02-DRB1*07:01:01  China Jingpo Minority 2.0830105
 259  DRB1*07:01:01:01-DQB1*02:02-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 2.0700496
 260  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 2.0680356
 261  A*33:03:01-C*07:01:01-DRB1*07:01:01  China Jingpo Minority 2.0620105
 262  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - France minority 2.04201,406
 263  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Chinese 2.025499,672
 264  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Karnataka Kannada Speaking 2.0110174
 265  A*01:01:01-B*44:03:01-DRB1*07:01:01  Portugal South 2.000049
 266  A*02:01:01-B*44:03:01-DRB1*07:01:01  Portugal Center 2.000050
 267  A*02:03-B*44:03-DRB1*07:01  Malaysia Patani 2.000025
 268  A*29:02-B*44:03:01-DRB1*07:01:01  Portugal South 2.000049
 269  A*33:03-B*52:01-DRB1*07:01  Malaysia Patani 2.000025
 270  B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Ireland South 2.0000250
 271  DRB1*07:01:01-DQB1*03:03:02  China Shandong Province Han 2.000098
 272  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  South Korea pop 1 2.0000324
 273  DRB1*07:01-DQA1*02:01-DQB1*03:03  Greece pop3 2.0000246
 274  DRB1*07:01-DQA1*02:01-DQB1*03:03  Tunisia 2.0000100
 275  DRB1*07:01-DQB1*02:02  Sweden Southern Sami 2.0000130
 276  A*30:01-B*13:02-DRB1*07:01  Israel Kavkazi Jews 1.98002,840
 277  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India East UCBB 1.96422,403
 278  A*29:02-B*44:03:01-DRB1*07:01:01  Madeira 1.9000185
 279  A*30-B*13-DRB1*07:01  South Korea pop 1 1.9000324
 280  DRB1*07:01-DQA1*02:01-DQB1*02:01-DPB1*17:01  China Canton Han 1.9000264
 281  A*02:11-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India North UCBB 1.89865,849
 282  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Vietnamese 1.880143,540
 283  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 1.87691,463
 284  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 1.8600215
 285  A*02:11-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Northeast UCBB 1.8581296
 286  A*01:01-B*57:01-DRB1*07:01  Malaysia Mandailing 1.851927
 287  A*11:01-B*44:03-DRB1*07:01  Malaysia Mandailing 1.851927
 288  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 1.84081,075
 289  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  USA San Diego 1.8230496
 290  DRB1*07:01:01:01-DQB1*03:03  China Inner Mongolia Autonomous Region Northeast 1.8150496
 291  A*01:01-B*57:01:01-C*06:02-DRB1*07:01:01-DQB1*03:03:02  England North West 1.8000298
 292  A*01:01-B*57:01-DRB1*07:01  Ireland Northern 1.80001,000
 293  A*01-B*50-DRB1*07:01-DQB1*02:01  Russia Chuvash 1.800082
 294  A*02:01-B*13:02-DRB1*07:01  Azores Central Islands 1.800059
 295  A*02:01-B*44:03-DRB1*07:01  Azores Central Islands 1.800059
 296  A*02-B*44-DRB1*07:01-DQB1*02  Spain North Cantabria 1.800083
 297  A*02-B*50-DRB1*07:01-DQB1*02:01  Russia Chuvash 1.800082
 298  A*02-B*50-DRB1*07:01-DQB1*02:02  Tunisia Ghannouch 1.800082
 299  A*24-B*44-DRB1*07:01-DQA1*02-DQB1*02  Russia Tuva 1.8000190
 300  A*24-B*44-DRB1*07:01-DQB1*02:01  Russia Chuvash 1.800082

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 13,496) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 135  


   

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.

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