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 901 to 1,000 (from 1,499) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 15  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 901  A*25:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.04402,411
 902  A*30:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.04402,411
 903  A*30:02-B*08:01-C*05:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.04402,411
 904  A*31:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.04401,772
 905  A*32:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.04401,159
 906  A*34:02-B*08:01-C*03:04-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.04402,411
 907  A*02:02-B*08:01-DRB1*03:01  Israel Druze 0.04385,914
 908  A*31:01:02-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.043523,595
 909  A*24:04-B*08:01-DRB1*03:01  Israel Bukhara Jews 0.04322,317
 910  A*33:03-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.04325,829
 911  A*03:02-B*08:01-C*07:02-DRB1*03:01  Germany DKMS - Portugal minority 0.04301,176
 912  A*03:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 913  A*24:02-B*08:01-C*03:04-DRB1*03:01  Germany DKMS - Portugal minority 0.04301,176
 914  A*25:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 915  A*29:10-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 916  A*32:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 917  A*26:01-B*08:01-DRB1*03:01  Israel USA Jews 0.04276,058
 918  A*03-B*08-DRB1*03:01-DQB1*02  Ecuador Mixed Ancestry 0.04261,173
 919  A*23-B*08-DRB1*03:01-DQB1*02  Ecuador Mixed Ancestry 0.04261,173
 920  A*30-B*08-DRB1*03:01-DQB1*02  Ecuador Mixed Ancestry 0.04261,173
 921  A*02:01-B*08:01-DRB1*03:01  Hong Kong Chinese cord blood registry 0.04243,892
 922  A*26:01-B*08:59-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.04245,829
 923  A*33:03-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.04232,403
 924  A*24:07-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.04222,403
 925  A*02:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.04204,204
 926  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Germany DKMS - German donors 0.04193,456,066
 927  A*26-B*08-DRB1*03:01-DQB1*02  Mexico Jalisco, Guadalajara city 0.04191,189
 928  A*29-B*08-DRB1*03:01-DQB1*02  Mexico Jalisco, Guadalajara city 0.04191,189
 929  A*24:04-B*08:01-DRB1*03:01  Israel YemenJews 0.041715,542
 930  A*02:01-B*08:01-C*07:02-DRB1*03:01  Germany DKMS - Romania minority 0.04101,234
 931  A*11:01-B*08:01-C*07:02-DRB1*03:01  Germany DKMS - Romania minority 0.04101,234
 932  A*26:01-B*08:01-C*07:02-DRB1*03:01  Germany DKMS - Romania minority 0.04101,234
 933  A*29:02-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Romania minority 0.04101,234
 934  A*30:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Romania minority 0.04101,234
 935  A*66:01-B*08:01-C*07:02-DRB1*03:01  Germany DKMS - Romania minority 0.04101,234
 936  A*68:02-B*08:01-C*07:02-DRB1*03:01  Germany DKMS - Romania minority 0.04101,234
 937  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04055,266
 938  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*10:01  Germany DKMS - German donors 0.04023,456,066
 939  A*02:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.04012,492
 940  A*02:11-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.04012,492
 941  A*33:03-B*08:01-C*06:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.04012,492
 942  A*02:06:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04015,266
 943  A*11:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Netherlands minority 0.04001,374
 944  A*32:01-B*08:01-DRB1*03:01  Israel Tunisia Jews 0.03999,070
 945  A*11:01-B*08:01-DRB1*03:01  Israel Iraq Jews 0.038813,270
 946  A*31:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03851,463
 947  A*03:02-B*08:01-DRB1*03:01  Israel Morocco Jews 0.038436,718
 948  A*03:02-B*08:01-C*07:01-DRB1*03:01  Poland DKMS 0.038020,653
 949  A*29:01-B*08:01-DRB1*03:01  Israel YemenJews 0.037415,542
 950  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03731,463
 951  A*11:01-B*08:01-DRB1*03:01  Israel Tunisia Jews 0.03739,070
 952  A*01:17-B*08:01-DRB1*03:01  Israel Tunisia Jews 0.03689,070
 953  A*01:36-B*08:01-DRB1*03:01  Israel Tunisia Jews 0.03689,070
 954  A*33:03:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.036723,595
 955  A*32:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.03633,456,066
 956  A*02:02-B*08:01-DRB1*03:01  Israel Morocco Jews 0.036236,718
 957  A*01:01-B*08:01-C*07:02-DRB1*03:01  Germany DKMS - France minority 0.03601,406
 958  A*01:01-B*08:01-C*07:19-DRB1*03:01  Germany DKMS - France minority 0.03601,406
 959  A*11:01-B*08:01-C*07:02-DRB1*03:01  Germany DKMS - France minority 0.03601,406
 960  A*24:02-B*08:01-C*03:04-DRB1*03:01  Germany DKMS - Netherlands minority 0.03601,374
 961  A*26:01-B*08:23-C*07:02-DRB1*03:01  Germany DKMS - France minority 0.03601,406
 962  A*31:01-B*08:01-C*03:04-DRB1*03:01  Germany DKMS - France minority 0.03601,406
 963  A*02:11-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.03594,204
 964  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03585,266
 965  A*11:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03561,463
 966  A*01:01-B*08:01-C*06:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.034911,446
 967  A*34:02-B*08:01-DRB1*03:01  Israel Argentina Jews 0.03484,307
 968  A*26:01-B*08:01-DRB1*03:01  Israel Tunisia Jews 0.03479,070
 969  A*31:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.034211,446
 970  A*02:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 971  A*03:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 972  A*29:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 973  A*30:02-B*08:01-C*16:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 974  A*68:01-B*08:01-DRB1*03:01  Hong Kong Chinese cord blood registry 0.03413,892
 975  A*02:01-B*08:01-C*04:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 976  A*02:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 977  A*03:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 978  A*11:01-B*08:01-C*12:03-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 979  A*23:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 980  A*26:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 981  A*29:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 982  A*32:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 983  A*69:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 984  A*68:01:02-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.033623,595
 985  A*03:01-B*08:01-DRB1*03:01  Israel USSR Jews 0.033445,681
 986  A*02:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03331,510
 987  A*24:02:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.033123,595
 988  A*02:01:01:01-B*08:01:01-C*07:01:08-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 989  A*11:01:01:01-B*08:01:01-C*07:02:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 990  A*24:02:01:01-B*08:01:01-C*07:02:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 991  A*29:02:01:01-B*08:01:01-C*07:02:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 992  A*68:01:02:02-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 993  A*68:01:02:02-B*08:01:01-C*07:02:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 994  A*11:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.03303,456,066
 995  A*11:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.03283,456,066
 996  A*03:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Croatia minority 0.03202,057
 997  A*03:01-B*08:01-DRB1*03:01  Israel Iraq Jews 0.031513,270
 998  A*03:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.03145,849
 999  A*24:07-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.03105,829
 1,000  A*26:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Austria minority 0.03101,698

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 1,499) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 15  


   

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