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 901 to 1,000 (from 8,334) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 84  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 901  A*26:01-B*52:01-C*12:02  Italy pop 5 0.2700975
 902  A*26:01-B*55:01-C*03:03  Italy pop 5 0.2700975
 903  A*26-B*08-DRB1*03  Italy Lombardy 0.2700674
 904  A*26-B*27-DRB1*01  Russia Moscow Pop 2 0.27002,000
 905  A*26-B*35-DRB1*11:01  Colombia Barranquilla 0.2700188
 906  A*26-B*38-DRB1*04:01  Colombia Barranquilla 0.2700188
 907  A*26-B*40-DRB1*16:01  Colombia Barranquilla 0.2700188
 908  A*26-B*44-DRB1*15:01  Colombia Barranquilla 0.2700188
 909  A*26-B*50-DRB1*10:01  Colombia Barranquilla 0.2700188
 910  A*26-B*53-DRB1*01:01  Colombia Barranquilla 0.2700188
 911  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*12:02:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 912  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
 913  A*26:01:01-B*13:01:01-C*03:04:01-DRB1*16:02:01-DQB1*05:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 914  A*26:01:01-B*15:01:01-C*04:01:01-DRB1*15:06:01-DQB1*05:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 915  A*26:01:01-B*35:01:01-C*12:02:02-DRB1*08:03:02-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 916  A*26:01:01-B*40:06:01-C*01:17-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 917  A*26:01:01-B*40:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 918  A*26:01:01-B*40:06:04-C*14:02:01-DRB1*14:04:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 919  A*26:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 920  A*26:01:01-B*55:01:01-C*01:02:01-DRB1*04:04:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 921  A*26:01:01-B*57:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 922  A*26:01:01-B*57:01:01-C*06:02:01-DRB1*15:02:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 923  A*26:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02  Colombia Bogotá Cord Blood 0.26801,463
 924  A*26-B*08-DRB1*10-DQB1*05  Mexico Veracruz, Xalapa 0.2674187
 925  A*26-B*14:01-DRB1*07-DQB1*02  Mexico Veracruz, Xalapa 0.2674187
 926  A*26-B*35-DRB1*04-DQB1*03:02  Mexico Veracruz, Xalapa 0.2674187
 927  A*26-B*38-DRB1*01-DQB1*05  Mexico Veracruz, Xalapa 0.2674187
 928  A*26-B*40:02-DRB1*13-DQB1*06  Mexico Veracruz, Xalapa 0.2674187
 929  A*26-B*53-DRB1*13-DQB1*06  Mexico Veracruz, Xalapa 0.2674187
 930  A*26-B*55-DRB1*15-DQB1*06  Mexico Veracruz, Xalapa 0.2674187
 931  A*26-B*44-DRB1*04-DQB1*03:02  Mexico Mexico City North 0.2656751
 932  A*26:01-B*38:01-DRB1*07:01  Israel Ashkenazi Jews pop 3 0.26504,625
 933  A*26:01:01-B*27:14-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.26491,510
 934  A*26:01-B*47:01-DRB1*11:04  Israel Druze 0.26405,914
 935  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.26204,856
 936  A*26-B*38-DRB1*13  Brazil Para State 0.26175,000
 937  A*26:01-B*35:08-DRB1*10:01  Israel Iraq Jews 0.261013,270
 938  A*26:01-B*38:01-DRB1*07:01  Israel Morocco Jews 0.261036,718
 939  A*26:02-B*15:01-C*03:03-DRB1*14:06  Japan pop 16 0.261018,604
 940  A*26:01:01-B*07:10-C*07:02:01:03-DRB1*03:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 941  A*26:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 942  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 943  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*14:01:01-DQB1*05:03:01  Russia Bashkortostan, Tatars 0.2604192
 944  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 945  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*04:03:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 946  A*26:01:01-B*44:02:01:01-C*03:03:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 947  A*26:01:01-B*48:01:01-C*07:01:01-DRB1*09:01-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 948  A*26:01:01-B*51:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 949  A*26:01:01-B*51:01:01-C*07:01:01-DRB1*15:01:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 950  A*26:01:01-B*52:01:01:02-C*12-DRB1*15:02-DQB1*06:01  Russia Bashkortostan, Tatars 0.2604192
 951  A*26:01-B*07:02-C*07:02-DRB1*01:03-DQA1*02:01-DQB1*02:02-DPB1*06:01  USA San Diego 0.2600496
 952  A*26:01-B*13:01-C*03:04-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 953  A*26:01-B*13:02-C*02:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  USA San Diego 0.2600496
 954  A*26:01-B*13:02-C*06:02-DRB1*11:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  USA San Diego 0.2600496
 955  A*26:01-B*15:01-C*03:03-DRB1*09:01-DQA1*03:01-DQB1*04:02-DPB1*05:01  USA San Diego 0.2600496
 956  A*26:01-B*35:01  USA Asian pop 2 0.26001,772
 957  A*26:01-B*40:06-C*08:01-DRB1*14:02-DQA1*03:01-DQB1*03:03-DPB1*02:01  USA San Diego 0.2600496
 958  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
 959  A*26:01-B*48:01-C*01:02-DRB1*14:07-DQA1*01:03-DQB1*06:01-DPB1*14:01  USA San Diego 0.2600496
 960  A*26:01-B*51:01-C*04:01-DRB1*14:03-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 961  A*26-B*14-C*08  Brazil Parana Japanese 0.2600192
 962  A*26-B*35-C*08  Brazil Parana Japanese 0.2600192
 963  A*26-B*38-DRB1*13  Albania pop 2 0.2600432
 964  A*26-B*44-C*04  Brazil Parana Japanese 0.2600192
 965  A*26-B*44-C*14  Brazil Parana Japanese 0.2600192
 966  A*26-B*47-C*06  Brazil Parana Japanese 0.2600192
 967  A*26-B*51-C*07  Brazil Parana Japanese 0.2600192
 968  A*26-B*55-C*01  Brazil Parana Japanese 0.2600192
 969  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Chinese 0.2577194
 970  A*26:01-B*15:03-C*08:01-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 971  A*26:01-B*35:01-C*16:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 972  A*26:01-B*39:01-C*03:04-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 973  A*26:01-B*40:02-C*03:04-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Chinese 0.2577194
 974  A*26:01-B*40:06-C*03:03-DRB1*09:01-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 975  A*26:01-B*40:49-C*12:02-DRB1*16:01-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 976  A*26:01-B*46:01-C*01:02-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Chinese 0.2577194
 977  A*26:01-B*50:01-C*06:02-DRB1*12:01-DQB1*05:01  Malaysia Peninsular Chinese 0.2577194
 978  A*26:01-B*51:01-C*01:02-DRB1*01:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 979  A*26:01-B*51:01-C*03:02-DRB1*03:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 980  A*26-B*08-DRB1*13-DQB1*06  Mexico Yucatan, Merida 0.2564192
 981  A*26-B*14:01-DRB1*03:01-DQB1*02  Mexico Yucatan, Merida 0.2564192
 982  A*26-B*14:01-DRB1*07-DQB1*02  Mexico Yucatan, Merida 0.2564192
 983  A*26-B*49-DRB1*11-DQB1*03:01  Mexico Yucatan, Merida 0.2564192
 984  A*26-B*51-DRB1*04-DQB1*03:01  Mexico Yucatan, Merida 0.2564192
 985  A*26:01-B*38:01-DRB1*16:02  Israel Kavkazi Jews 0.25602,840
 986  A*26:01-B*55:01-DRB1*07:01  Israel Iran Jews 0.25608,153
 987  A*26-B*38-DRB1*04-DQB1*03:02  Mexico Jalisco Rural 0.2560585
 988  A*26-B*44-DRB1*07-DQB1*02  Mexico Jalisco Rural 0.2560585
 989  A*26:01-B*38:01-C*12:03-DRB1*04:02  Poland DKMS 0.255420,653
 990  A*26-B*38-DRB1*04-DQB1*03:02  Mexico Sonora Rural 0.2538197
 991  A*26-B*44-DRB1*04-DQB1*03:02  Mexico Sonora Rural 0.2538197
 992  A*26-B*52-DRB1*15-DQB1*06  Mexico Sonora Rural 0.2538197
 993  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.253423,595
 994  A*26:01-B*38:01-DRB1*07:01  Israel USA Jews 0.25306,058
 995  A*26:01-B*40:01-C*04:01-DRB1*04:03-DQB1*03:02  USA NMDP Hawaiian or other Pacific Islander 0.252511,499
 996  A*26:01-B*08:01-DRB1*03:01  Israel YemenJews 0.252015,542
 997  A*26:01-B*38:01-DRB1*13:01  Israel Druze 0.25205,914
 998  A*26:01-B*38:01-DRB1*13:02  Israel Iraq Jews 0.252013,270
 999  A*26-B*14:01-DRB1*07-DQB1*02  Mexico Jalisco, Guadalajara city 0.25131,189
 1,000  A*26-B*18-DRB1*11-DQB1*03:01  Mexico Coahuila, Torreon 0.2500396

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 8,334) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 84  


   

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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