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 1,063) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 11  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:04:01-DPA1*01:03:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 202  A*02:01:01-B*40:02:01-C*15:02:01-DRB1*14:06:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 203  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*04:02:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 204  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*12:02:02-DQB1*06:03:01-DPA1*02:02:02-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 205  A*03:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:04-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 206  A*11:01:01-B*49:01:01-C*07:01:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 207  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 208  A*23:17:01-B*52:01:01-C*02:10:01-DRB1*15:02:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 209  A*24:02:01-B*41:01:01-C*17:01:01-DRB1*04:05:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 210  A*33:03:01-B*58:01:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 211  A*36:01-B*55:01:01-C*03:03:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*02:01:04-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 212  A*66:01:01-B*49:01:01-C*12:03:01-DRB1*11:02:01-DQB1*03:19:01-DPA1*02:01:01-DPB1*131:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 213  A*68:01:02-B*41:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 214  A*68:02:01-B*45:01:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:04-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 215  DQA1*01:02-DQB1*06:02-DPA1*04:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.19401,064
 216  DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*135:01  Hong Kong Chinese HKBMDR. DQ and DP 0.19221,064
 217  A*01:01-B*40:01-C*03:02-DRB1*13:01-DQB1*06:04-DPB1*13:01  Panama 0.1900462
 218  A*01:01-B*57:01-C*06:02-DRB1*03:01-DQB1*03:02-DPB1*13:01  Panama 0.1900462
 219  A*02:01-B*35:01-C*04:01-DRB1*09:01-DQB1*03:03-DPB1*13:01  Panama 0.1900462
 220  A*02:01-B*40:01-C*03:04-DRB1*07:01-DQB1*06:09-DPB1*13:01  Panama 0.1900462
 221  A*02:01-B*57:01-C*07:02-DRB1*07:01-DQB1*03:02-DPB1*13:01  Panama 0.1900462
 222  A*02:02-B*15:03-C*02:10-DRB1*16:02-DQB1*03:01-DPB1*13:01  Panama 0.1900462
 223  A*02:05-B*08:01-C*07:01-DRB1*13:04-DQB1*03:01-DPB1*131:01  Panama 0.1900462
 224  A*02:05-B*53:01-C*04:01-DRB1*04:01-DQB1*06:02-DPB1*131:01  Panama 0.1900462
 225  A*02:11-B*42:01-C*04:01-DRB1*09:01-DQB1*05:01-DPB1*13:01  Panama 0.1900462
 226  A*23:01-B*07:05-C*08:02-DRB1*13:01-DQB1*06:02-DPB1*13:01  Panama 0.1900462
 227  A*24:02-B*35:01-C*03:05-DRB1*14:02-DQB1*03:01-DPB1*13:01  Panama 0.1900462
 228  A*24:02-B*35:43-C*03:05-DRB1*14:02-DQB1*03:01-DPB1*13:01  Panama 0.1900462
 229  A*30:02-B*57:03-C*03:05-DRB1*15:03-DQB1*06:02-DPB1*13:01  Panama 0.1900462
 230  A*74:01-B*50:01-C*06:02-DRB1*11:01-DQB1*05:01-DPB1*13:01  Panama 0.1900462
 231  A*74:01-B*53:01-C*07:02-DRB1*15:03-DQB1*05:01-DPB1*13:01  Panama 0.1900462
 232  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*13:01  Germany DKMS - German donors 0.18213,456,066
 233  DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*135:01  China Zhejiang Han pop 2 0.1801833
 234  DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*135:01  Hong Kong Chinese HKBMDR. DQ and DP 0.17671,064
 235  DRB1*15:02-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*13:01  China Zhejiang Han pop 2 0.1736833
 236  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*13:01  China Zhejiang Han pop 2 0.1732833
 237  DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.17311,064
 238  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.17285,266
 239  DQA1*01:02-DQB1*06:01-DPA1*04:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.17191,064
 240  DQA1*05:05-DQB1*03:01-DPA1*04:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.16901,064
 241  A*24:02-B*40:02-C*03:04-DRB1*09:01-DQB1*03:03-DPB1*13:01  Russia Karelia 0.16801,075
 242  DRB1*13:12-DQA1*05:03-DQB1*03:01-DPA1*04:01-DPB1*13:01  China Zhejiang Han pop 2 0.1664833
 243  A*26:03-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*13:01  Japan pop 17 0.16003,078
 244  A*30:02-B*45:01-C*16:01-DRB1*11:01-DQB1*06:02-DPB1*13:01  Tanzania Maasai 0.1598336
 245  A*02:01-B*45:01-C*07:312-DRB1*03:01-DQB1*03:01-DPB1*131:01  Tanzania Maasai 0.1597336
 246  A*02:05-B*58:02-C*06:66-DRB1*13:01-DQB1*06:03-DPB1*133:01  Tanzania Maasai 0.1597336
 247  A*03:01-B*47:03-C*06:22-DRB1*01:02-DQB1*06:04-DPB1*13:01  Tanzania Maasai 0.1597336
 248  A*23:01-B*51:01-C*16:46-DRB1*07:01-DQB1*02:02-DPB1*131:01  Tanzania Maasai 0.1597336
 249  A*26:01-B*47:03-C*07:01-DRB1*07:01-DQB1*02:02-DPB1*13:01  Tanzania Maasai 0.1597336
 250  A*29:01-B*53:01-C*06:02-DRB1*13:02-DQB1*02:02-DPB1*13:01  Tanzania Maasai 0.1597336
 251  A*30:01-B*08:01-C*07:02-DRB1*14:54-DQB1*05:03-DPB1*13:01  Tanzania Maasai 0.1597336
 252  A*30:01-B*42:01-C*17:01-DRB1*11:01-DQB1*06:02-DPB1*133:01  Tanzania Maasai 0.1597336
 253  A*30:01-B*45:01-C*16:01-DRB1*08:04-DQB1*03:01-DPB1*13:01  Tanzania Maasai 0.1597336
 254  A*30:01-B*58:01-C*03:02-DRB1*15:03-DQB1*06:02-DPB1*133:01  Tanzania Maasai 0.1597336
 255  A*30:04-B*41:01-C*02:09-DRB1*13:01-DQB1*06:03-DPB1*131:01  Tanzania Maasai 0.1597336
 256  A*68:02-B*07:02-C*17:01-DRB1*11:01-DQB1*04:02-DPB1*13:01  Tanzania Maasai 0.1597336
 257  A*68:02-B*15:10-C*08:04-DRB1*13:01-DQB1*06:03-DPB1*133:01  Tanzania Maasai 0.1597336
 258  DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.15951,064
 259  DRB1*13:04-DQB1*03:19-DPB1*133:01  Gambia pop 3 0.1594939
 260  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*135:01  China Zhejiang Han pop 2 0.1550833
 261  DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*135:01  Hong Kong Chinese HKBMDR. DQ and DP 0.15341,064
 262  DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.15301,064
 263  DQA1*01:02-DQB1*06:01-DPA1*02:02-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.14751,064
 264  DRB1*09:01-DQB1*05:01-DPB1*133:01  Gambia pop 3 0.1451939
 265  DRB1*10:01-DQB1*05:01-DPB1*133:01  Gambia pop 3 0.1451939
 266  DRB1*11:01-DQB1*03:36-DPB1*13:01  Gambia pop 3 0.1451939
 267  DRB1*13:02-DQB1*05:01-DPB1*131:01  Gambia pop 3 0.1451939
 268  DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.14311,064
 269  A*11:01:01-B*13:01:01-C*03:04:04-DRB1*16:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.14025,266
 270  A*01:01-B*15:01-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*13:01  Sri Lanka Colombo 0.1401714
 271  A*02:11-B*15:05-C*03:03-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*13:01  Sri Lanka Colombo 0.1401714
 272  A*03:01-B*35:03-C*04:01-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*13:01  Sri Lanka Colombo 0.1401714
 273  A*03:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*13:01  Sri Lanka Colombo 0.1401714
 274  A*11:01-B*51:06-C*14:02-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*13:01  Sri Lanka Colombo 0.1401714
 275  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*13:01  Sri Lanka Colombo 0.1401714
 276  A*24:02-B*48:01-C*08:01-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*13:01  Sri Lanka Colombo 0.1401714
 277  A*68:01-B*40:06-C*15:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*13:01  Sri Lanka Colombo 0.1401714
 278  DQA1*01:03-DQB1*06:03-DPA1*02:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.13861,064
 279  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DPB1*135:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.13765,266
 280  DQA1*01:02-DQB1*05:02-DPA1*02:02-DPB1*135:01  Hong Kong Chinese HKBMDR. DQ and DP 0.13571,064
 281  A*33:03:01-B*14:02-C*08:02:01-DRB1*01:02-DQB1*05:01:01-DPB1*13:01:01  Saudi Arabia pop 6 (G) 0.134028,927
 282  A*11:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.13115,266
 283  DRB1*08:04-DQB1*03:01-DPB1*131:01  Gambia pop 3 0.1294939
 284  DQA1*02:01-DQB1*02:02-DPA1*04:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.12541,064
 285  DRB1*07:01-DQA1*02:01-DQB1*03:03-DPA1*02:01-DPB1*13:01  China Zhejiang Han pop 2 0.1200833
 286  DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*13:01  China Zhejiang Han pop 2 0.1200833
 287  DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*02:02-DPB1*13:01  China Zhejiang Han pop 2 0.1200833
 288  DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*04:01-DPB1*13:01  China Zhejiang Han pop 2 0.1200833
 289  A*29:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*13:01:01  Saudi Arabia pop 6 (G) 0.117928,927
 290  A*31:01-B*39:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*13:01  Russia Karelia 0.11291,075
 291  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*13:01  Russia Karelia 0.11291,075
 292  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*13:01  Russia Karelia 0.11261,075
 293  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.11265,266
 294  DQA1*01:04-DQB1*05:03-DPA1*04:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.11041,064
 295  A*01-B*57-C*06-DRB1*07-DQB1*03-DPB1*13  Norway ethnic Norwegians 0.11004,510
 296  DRB1*11:01-DQB1*03:01-DPB1*13:01  Gambia pop 3 0.1078939
 297  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*13:01  China Zhejiang Han pop 2 0.1062833
 298  DRB1*13:04-DQB1*03:19-DPB1*13:01  Gambia pop 3 0.1060939
 299  DQA1*05:01-DQB1*02:01-DPA1*02:02-DPB1*135:01  Hong Kong Chinese HKBMDR. DQ and DP 0.10321,064
 300  DRB1*12:01-DQA1*05:05-DQB1*03:01-DPA1*04:01-DPB1*13:01  China Zhejiang Han pop 2 0.1028833

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 1,063) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 11  


   

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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