Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 901 to 1,000 (from 4,142) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 42  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 901  A*11:01:01-B*35:03:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  India Karnataka Kannada Speaking 0.2870174
 902  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  India Karnataka Kannada Speaking 0.2870174
 903  A*31:01:02-B*57:76-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  India Karnataka Kannada Speaking 0.2870174
 904  A*33:03:01-B*07:05:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  India Karnataka Kannada Speaking 0.2870174
 905  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*15:02:01-DQB1*06:02:01  India Karnataka Kannada Speaking 0.2870174
 906  A*74:01-B*15:03-C*02:02-DRB1*15:03-DQB1*06:02  USA NMDP Black South or Central American 0.28544,889
 907  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.2810356
 908  A*11:01-B*37:01-C*06:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  Sri Lanka Colombo 0.2801714
 909  A*24:02-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Caribean Hispanic 0.2759115,374
 910  DRB1*08:06-DQB1*06:02-DPB1*04:01  Gambia pop 3 0.2756939
 911  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*13:01  China Zhejiang Han pop 2 0.2753833
 912  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.27404,335
 913  A*24:02-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Mexican or Chicano 0.2724261,235
 914  A*30:02-B*14:02-C*08:02-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.27002,411
 915  A*03:01:01-B*44:03:02-C*07:01:18-DRB1*07:01:01-DQB1*06:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 916  A*24:02:01-B*35:03:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 917  A*26:01:01-B*07:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 918  A*31:01:02-B*51:01:01-C*16:02:01-DRB1*15:01:01-DQB1*06:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 919  A*68:01:02-B*44:03:02-C*12:02:02-DRB1*07:01:01-DQB1*06:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 920  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*03:01  China Zhejiang Han pop 2 0.2688833
 921  A*68:02-B*53:01-C*04:01-DRB1*15:03-DQB1*06:02  USA NMDP Black South or Central American 0.26404,889
 922  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA African American pop 4 0.26202,411
 923  A*68:02-B*58:01-C*07:01-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.26202,411
 924  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 0.2604192
 925  A*01:01:01:01-B*35:03:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 0.2604192
 926  A*02:01:01:01-B*35:08:01-C*12:03:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 0.2604192
 927  A*02:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 0.2604192
 928  A*02:01:01:01-B*44:02:01:01-C*05:01:01-DRB1*13:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 0.2604192
 929  A*02:01:01:01-B*49:01:01-C*07:01:01-DRB1*03:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 0.2604192
 930  A*02:01:01-B*51:01:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 0.2604192
 931  A*02:05:01-B*35:01:01:02-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 0.2604192
 932  A*02:64-B*44:02:01:01-C*05:01:01:02-DRB1*11:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 0.2604192
 933  A*24:02:01:01-B*35:01:01-C*08:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 0.2604192
 934  A*29:01:01:01-B*35:03:01-C*04:01:01-DRB1*08:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 0.2604192
 935  A*68:01:01:02-B*49:01:01-C*15:04-DRB1*04:04:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 0.2604192
 936  A*68:01:02:02-B*58:01:01-C*07:04:01-DRB1*11:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 0.2604192
 937  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*09:01  USA San Diego 0.2600496
 938  A*01:01-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*05:01  USA San Diego 0.2600496
 939  A*01:01-B*49:01-C*07:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*05:01  USA San Diego 0.2600496
 940  A*02:01-B*35:12-C*04:01-DRB1*14:06-DQA1*01:02-DQB1*06:02-DPB1*23:01  USA San Diego 0.2600496
 941  A*02:01-B*40:01-C*02:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  USA San Diego 0.2600496
 942  A*02:01-B*49:01-C*07:01-DRB1*16:01-DQA1*01:02-DQB1*06:02-DPB1*05:01  USA San Diego 0.2600496
 943  A*02:01-B*51:01-C*15:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  USA San Diego 0.2600496
 944  A*02:01-B*51:05-C*04:01-DRB1*14:04-DQA1*01:02-DQB1*06:02-DPB1*14:01  USA San Diego 0.2600496
 945  A*02:01-B*57:03-C*16:01-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*18:01  USA San Diego 0.2600496
 946  A*03:01-B*15:16-C*04:01-DRB1*15:03-DQA1*05:01-DQB1*06:02-DPB1*02:01  USA San Diego 0.2600496
 947  A*03:01-B*53:01-C*04:01-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*04:02  USA San Diego 0.2600496
 948  A*23:01-B*18:01-C*07:04-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*17:01  USA San Diego 0.2600496
 949  A*23:01-B*44:03-C*04:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  USA San Diego 0.2600496
 950  A*23:01-B*44:03-C*07:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  USA San Diego 0.2600496
 951  A*24:02-B*35:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*02:02  USA San Diego 0.2600496
 952  A*24:02-B*39:06-C*07:02-DRB1*14:06-DQA1*01:02-DQB1*06:02-DPB1*03:01  USA San Diego 0.2600496
 953  A*24:02-B*39:06-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  USA San Diego 0.2600496
 954  A*24:02-B*40:02-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*05:01  USA San Diego 0.2600496
 955  A*26:01-B*44:03-C*16:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  USA San Diego 0.2600496
 956  A*29:02-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  USA San Diego 0.2600496
 957  A*29:02-B*51:01-C*02:02-DRB1*16:09-DQA1*01:02-DQB1*06:02-DPB1*04:01  USA San Diego 0.2600496
 958  A*29:02-B*55:01-C*07:01-DRB1*04:07-DQA1*03:01-DQB1*06:02-DPB1*02:01  USA San Diego 0.2600496
 959  A*30:01-B*58:01-C*15:05-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*02:01  USA San Diego 0.2600496
 960  A*30:02-B*53:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*03:01  USA San Diego 0.2600496
 961  A*31:01-B*51:01-C*14:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*02:02  USA San Diego 0.2600496
 962  A*32:01-B*13:02-C*07:04-DRB1*15:01-DQA1*01:01-DQB1*06:02-DPB1*04:01  USA San Diego 0.2600496
 963  A*33:03-B*51:02-C*14:02-DRB1*11:05-DQA1*03:01-DQB1*06:02-DPB1*05:01  USA San Diego 0.2600496
 964  A*36:01-B*53:01-C*16:01-DRB1*11:01-DQA1*02:01-DQB1*06:02-DPB1*01:01  USA San Diego 0.2600496
 965  DRB1*08:06-DQB1*06:02  USA African American pop 4 0.26002,411
 966  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.257823,595
 967  A*01:01-B*08:01-C*07:01-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.25773,456,066
 968  A*02:07-B*35:05-C*03:03-DRB1*15:01-DQB1*06:02  Malaysia Peninsular Chinese 0.2577194
 969  A*11:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:02  Malaysia Peninsular Chinese 0.2577194
 970  A*25:01-B*18:01-C*12:03-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.25704,856
 971  A*02:06-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP Hawaiian or other Pacific Islander 0.255311,499
 972  A*02-B*44-DRB1*15:01-DQA1*01:02-DQB1*06:02  Brazil Paraná Caucasian 0.2531641
 973  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.2520356
 974  A*30:01-B*42:01-C*17:01-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.25002,411
 975  A*74:01-B*53:01-C*04:01-DRB1*11:01-DQB1*06:02  USA African American pop 4 0.24902,411
 976  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.248923,595
 977  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*03:01  Germany DKMS - German donors 0.24663,456,066
 978  A*25:01-B*18:01-C*12:03-DRB1*15:01-DQB1*06:02  USA NMDP Black South or Central American 0.24224,889
 979  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Caribean Black 0.241733,328
 980  A*24:02-B*15:06-C*04:03-DRB1*15:01-DQB1*06:02  USA NMDP Hawaiian or other Pacific Islander 0.241611,499
 981  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.2414521
 982  A*01:01-B*08:01-C*07:01-DRB1*15:01-DQB1*06:02  USA NMDP American Indian South or Central America 0.24115,926
 983  A*02:01-B*49:01-C*07:01-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.24102,411
 984  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.24001,999
 985  A*29:02-B*44:03-C*16:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.23904,335
 986  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.23404,204
 987  A*34-B*35-DRB1*15:03-DQA1*01:02-DQB1*06:02  Brazil Paraná Caucasian 0.2340641
 988  A*26:01-B*38:01-C*12:03-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.23301,159
 989  A*26:01-B*08:01-C*07:01-DRB1*15:01-DQB1*06:02  USA NMDP Caribean Indian 0.230414,339
 990  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 991  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*08:06-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 992  A*02:01:01-B*15:01:01-C*05:03-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 993  A*02:01:01-B*18:01:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 994  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 995  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 996  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 997  A*02:01:01-B*50:02-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 998  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 999  A*23:01:01-B*14:02:01-C*08:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 1,000  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215

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 901 to 1,000 (from 4,142) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 42  


   

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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