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 22,141) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 222  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 901  A*24-B*35-DRB1*08-DQB1*04  Mexico San Luis Potosi Rural 1.724187
 902  A*24-B*39-DRB1*16-DQB1*03:01  Mexico San Luis Potosi Rural 1.724187
 903  A*24-B*40-DRB1*08:02-DQB1*04:02  Bolivia La Paz Aymaras 1.724087
 904  A*24:02-B*39:01-DRB1*04:07-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 1.704588
 905  A*24:02:01:01-B*08:01:01-DRB1*03:01:01:01  Libya Cyrenaica 1.7000118
 906  A*24:02-B*27:05  USA North American Native 1.7000187
 907  A*24:02-B*35:01-DRB1*08:01  Sweden Northern Sami 1.7000154
 908  A*24:02-B*40:01  USA North American Native 1.7000187
 909  A*24:02-B*46:01  Singapore Chinese 1.7000149
 910  A*24:02-B*51:01-DRB1*08:01-DQB1*04:01  Iran Kurd pop 2 1.700060
 911  A*24:02-B*51:01-DRB1*16:02-DQB1*03:01  USA Alaska Yupik 1.7000252
 912  A*24:02-B*59:01-C*01:02  South Korea pop 3 1.7000485
 913  A*24:02-C*08:01  Taiwan Hakka 1.700055
 914  A*24:07-C*07:02  Philippines Ivatan 1.700050
 915  A*24-B*07-DRB1*15  Russia South Ural Russian 1.7000207
 916  A*24-B*15:25-C*04:03-DRB1*12:02:01-DQB1*03:01:01-DPB1*28:01  China Yunnan Province Nu 1.7000107
 917  A*24-B*15:25-C*04:03-DRB1*15:02:01-DQB1*05:01:01-DPB1*13:01  China Yunnan Province Nu 1.7000107
 918  A*24-B*18  Greece North 1.7000500
 919  A*24-B*18-DRB1*11  Greece North 1.7000500
 920  A*24-B*35-C*04-DRB1*11  Iran pop 4 1.7000855
 921  A*24-B*35-C*04-DRB1*11-DQB1*03  Spain Majorcans Jews 1.7000103
 922  A*24-B*35-DRB1*04  Portugal Castelo Branco 1.7000327
 923  A*24-B*35-DRB1*04-DQB1*03:02  Mexico Mexico City Mestizo 1.7000121
 924  A*24-B*35-DRB1*16-DQB1*03:01  Mexico Mexico City Mestizo 1.7000121
 925  A*24-B*52:01:01-C*07:02:01-DRB1*12:02:01-DQB1*03:01:01-DPB1*28:01  China Yunnan Province Nu 1.7000107
 926  A*24-B*52:01:01-C*07:02:01-DRB1*12:02:01-DQB1*03:01:01-DPB1*28:01  China Yunnan Province Lisu 1.7000111
 927  A*24-B*35-C*04-DRB1*16-DQB1*05  Albanian Kosovo 1.6700120
 928  A*24-B*07-C*07:02-DRB1*15:01-DQB1*06  Russia Transbaikal Territory Buryats 1.6670150
 929  A*24-B*40-C*03:04-DRB1*11:01-DQB1*03  Russia Transbaikal Territory Buryats 1.6670150
 930  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02  Russia Bashkortostan, Bashkirs 1.6667120
 931  A*24:02-B*51:01-DRB1*04:01-DQB1*04:01  Iran Saqqez-Baneh Kurds 1.666760
 932  A*24-B*07-DRB1*08:02-DQB1*04:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 933  A*24-B*15:01-DRB1*08-DQB1*04  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 934  A*24-B*15:30-DRB1*04-DQB1*03:02  Mexico Morelos Rural 1.666730
 935  A*24-B*15-DRB1*04:07-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 936  A*24-B*18-DRB1*11-DQB1*03:01  Mexico Morelos Rural 1.666730
 937  A*24-B*35-DRB1*04-DQB1*03:02  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 938  A*24-B*35-DRB1*08-DQB1*04  Mexico Jalisco, Tlajomulco 1.666730
 939  A*24-B*35-DRB1*11-DQB1*03:01  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 940  A*24-B*35-DRB1*13-DQB1*06  Mexico Jalisco, Tlajomulco 1.666730
 941  A*24-B*35-DRB1*14-DQB1*03:01  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 942  A*24-B*37-DRB1*10-DQB1*05  Mexico Veracruz, Orizaba 1.666760
 943  A*24-B*39-DRB1*04-DQB1*02  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 944  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Veracruz, Orizaba 1.666760
 945  A*24-B*39-DRB1*08-DQB1*04  Mexico Morelos Rural 1.666730
 946  A*24-B*39-DRB1*14-DQB1*03:01  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 947  A*24-B*39-DRB1*15-DQB1*05  Mexico Veracruz, Orizaba 1.666760
 948  A*24-B*40:02-DRB1*04-DQB1*03:02  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 949  A*24-B*40:02-DRB1*08-DQB1*03:01  Mexico Jalisco, Tlajomulco 1.666730
 950  A*24-B*40:02-DRB1*11-DQB1*03:01  Mexico Veracruz, Orizaba 1.666760
 951  A*24-B*40:02-DRB1*16-DQB1*03:01  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 952  A*24-B*40-DRB1*04:07-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 953  A*24-B*40-DRB1*08:02-DQB1*04:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 954  A*24-B*45-DRB1*01-DQB1*05  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 955  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Jalisco, Tlajomulco 1.666730
 956  A*24-B*48-DRB1*08-DQB1*04  Mexico Jalisco, Tlajomulco 1.666730
 957  A*24-B*51-DRB1*14:06-DQB1*03:01  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 958  A*24-B*35-DRB1*11  Italy Lombardy 1.6600674
 959  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Mexico City North 1.6600751
 960  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Chiapas Rural 1.6529121
 961  A*24-B*35-C*03  Brazil Parana Japanese 1.6500192
 962  A*24:02-C*12:03  Italy pop 5 1.6400975
 963  A*24-B*35-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 1.639361
 964  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 1.639361
 965  A*24-B*40:02-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 1.639361
 966  A*24:02:01-B*35:43:01-C*01:02:01-DRB1*04:07  Costa Rica Amerindians (G) 1.6319125
 967  A*24:02-B*55:02-DRB1*11:01  Taiwan Tzu Chi Morrow Donor Registry Aborigine 1.6240233
 968  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Puebla Rural 1.6187833
 969  A*24-B*40:02-DRB1*04-DQB1*03:02  Mexico Durango, Durango city 1.6129153
 970  A*24-B*35-DRB1*11  Iran pop 4 1.6106855
 971  A*24:14-B*35:01-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Mexico Chiapas Lacandon Mayans 1.6055218
 972  A*24-B*35-DRB1*04-DQB1*03:02  Mexico Coahuila Rural 1.6055216
 973  A*24-B*35-DRB1*08-DQB1*04  Mexico Veracruz, Xalapa 1.6043187
 974  A*24:02:01-B*07:02:01-DRB1*15:01:01  Cape Verde Southeastern Islands 1.600062
 975  A*24:02:01-B*14:01-DRB1*07:01:01  Madeira 1.6000185
 976  A*24:02:01-B*27:05-DRB1*04:05:01  Cape Verde Southeastern Islands 1.600062
 977  A*24:02:01-B*51:01:01-DRB1*11:02  Cape Verde Southeastern Islands 1.600062
 978  A*24:02-B*08:01  Brazil Belo Horizonte Caucasian 1.600095
 979  A*24:02-B*13:01-C*03:04  China Guizhou Province Bouyei 1.6000109
 980  A*24:02-B*13:01-C*03:04  China Guizhou Province Shui 1.6000153
 981  A*24:02-B*15:01-C*01:02  USA North American Native 1.6000187
 982  A*24:02-B*27:05-DRB1*08:01  Sweden Northern Sami 1.6000154
 983  A*24:02-B*35:01-C*04:01  USA North American Native 1.6000187
 984  A*24:02-B*35:03  Brazil Belo Horizonte Caucasian 1.600095
 985  A*24:02-B*39:06  Brazil Belo Horizonte Caucasian 1.600095
 986  A*24:02-B*44:02  USA Caucasian pop 2 1.6000265
 987  A*24:02-B*44:02  USA North American Native 1.6000187
 988  A*24:02-B*46:01-C*01:02  China Guizhou Province Shui 1.6000153
 989  A*24:02-B*46:01-C*07:02  China Guizhou Province Shui 1.6000153
 990  A*24:02-B*51:01-C*03:04  USA North American Native 1.6000187
 991  A*24:02-B*54:01  Hong Kong Chinese 1.6000569
 992  A*24:04-B*35:02-DRB1*11:04  Israel Bukhara Jews 1.60002,317
 993  A*24-B*07-C*07  USA San Francisco Caucasian 1.6000220
 994  A*24-B*35  Iran pop 1 1.600064
 995  A*24-B*38-C*12  England London Ashkenazi Jews 1.6000500
 996  A*24-B*44-DRB1*07:01-DQB1*02  Spain Pas Valley 1.600088
 997  A*24-B*51  Greece North 1.6000500
 998  A*24:02-B*40:02-C*03:04-DRB1*14:02-DQB1*03:01  USA NMDP Alaska Native or Aleut 1.59621,376
 999  A*24:03-G*01:04  Ecuador Amerindians 1.587363
 1,000  A*24-B*35-DRB1*16-DQB1*03:01  Mexico Tamaulipas Rural 1.5873125

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 22,141) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 222  


   

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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