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 12,096) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 121  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 901  A*03:01-B*44:02-DRB1*04:01-DQB1*03:02  Iran Tabriz Azeris 1.546497
 902  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Nayarit, Tepic 1.546497
 903  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Nayarit, Tepic 1.546497
 904  A*02:01-B*35:04-DRB1*04:03-DQB1*03:02  Chile Mapuche 1.540066
 905  A*02:01-B*48:01-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 1.5400105
 906  A*02-B*35-DRB1*04:04-DQB1*03:02  Bolivia La Paz Aymaras 1.540087
 907  A*03:01-B*27:05-DRB1*04:03-DQB1*03:02  Chile Mapuche 1.540066
 908  A*68:01-B*35:20-DRB1*04:07-DQB1*03:02  Chile Mapuche 1.540066
 909  A*68:01-B*39:09-DRB1*04:03-DQB1*03:02  Chile Mapuche 1.540066
 910  A*68-B*35-DRB1*04-DQB1*03:02  Mexico Oaxaca Rural 1.5400485
 911  A*02-B*40:02-DRB1*04-DQB1*03:02  Mexico Yucatan, Merida 1.5385192
 912  A*31-B*39-DRB1*04-DQB1*03:02  Mexico Yucatan, Merida 1.5385192
 913  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Yucatan, Merida 1.5385192
 914  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Durango Rural 1.5291326
 915  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Durango Rural 1.5291326
 916  A*68-B*40:02-DRB1*04-DQB1*03:02  Mexico Sonora Rural 1.5228197
 917  A*02-B*35-DRB1*04-DQB1*03:02  Mexico Sonora, Hermosillo 1.515299
 918  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Sonora, Hermosillo 1.515299
 919  A*31-B*35-DRB1*04-DQB1*03:02  Mexico Sonora, Hermosillo 1.515299
 920  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Sonora, Hermosillo 1.515299
 921  A*02-B*07-DRB1*04:02-DQA1*03-DQB1*03:02  Morocco 1.500096
 922  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Puebla Mestizo 1.500099
 923  A*02-B*15-DRB1*04:01-DRB4*01:03-DQA1*03:01-DQB1*03:02  Spain Murcia 1.5000173
 924  A*02-B*15-DRB1*04:04-DQB1*03:02  Guatemala Mayan 1.5000132
 925  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Baja Californa, Mexicali 1.5000100
 926  A*24-B*35-DRB1*04-DQB1*03:02  Mexico Puebla Mestizo 1.500099
 927  A*24-B*35-DRB1*04-DQB1*03:02  Mexico Baja Californa, Mexicali 1.5000100
 928  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Baja Californa, Mexicali 1.5000100
 929  A*24-B*40:02-DRB1*04-DQB1*03:02  Mexico Baja Californa, Mexicali 1.5000100
 930  A*30-B*13-DRB1*04-DQB1*03:02  Mexico Baja Californa, Mexicali 1.5000100
 931  DRB1*04:02-DQA1*03:01-DQB1*03:02  Mexico Guanajuato and Jalisco Mestizo 1.5000101
 932  DRB1*04:02-DQA1*03-DQB1*03:02  Russia Siberia Khanty Mansi 1.500068
 933  DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Guanajuato and Jalisco Mestizo 1.5000101
 934  DRB1*04:03-DQA1*03:01-DQB1*03:02  Morocco Souss Region 1.500098
 935  DRB1*04:04-DQA1*03:01-DQB1*03:02  Australia New South Wales Aborigine 1.5000177
 936  DRB1*04:05-DQA1*03:01-DQB1*03:02  Mexico Guanajuato and Jalisco Mestizo 1.5000101
 937  DRB1*04:11-DQB1*03:02  Mexico Oaxaca Mixtec 1.5000103
 938  DRB1*07-DQA1*02:01-DQB1*03:02  Algeria pop 2 1.5000106
 939  DRB1*12:01-DQA1*03:01-DQB1*03:02  Japan pop 2 1.5000916
 940  A*02:01-B*35:12-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 1.492567
 941  A*02:06-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 1.492567
 942  A*24:02-B*35:12-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 1.492567
 943  A*24:02-B*35:20-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 1.492567
 944  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 1.492567
 945  A*31:01-B*35:01-C*07:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 1.492567
 946  A*68:03-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 1.492567
 947  A*68:03-B*35:43-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 1.492567
 948  A*02-B*35-DRB1*04-DQB1*03:02  Mexico Yucatan Rural 1.4925132
 949  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Jalisco, Zapopan 1.4881168
 950  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Jalisco, Zapopan 1.4881168
 951  A*68-B*35-DRB1*04-DQB1*03:02  Mexico Zacatecas Rural 1.4870266
 952  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 1.47801,994
 953  A*02-B*44-DRB1*04-DQB1*03:02  Mexico Nuevo Leon Rural 1.4773439
 954  A*24-B*35-DRB1*04-DQB1*03:02  Mexico Nuevo Leon Rural 1.4773439
 955  DRB1*04:05-DQB1*03:02-DPB1*01:01  Gambia pop 3 1.4770939
 956  A*02-B*15:15-DRB1*04-DQB1*03:02  Mexico Mexico City West 1.470633
 957  A*02-B*39-DRB1*04-DQB1*03:02  Ecuador Coast Mixed Ancestry 1.4706238
 958  A*02-B*40:02-DRB1*04-DQB1*03:02  Mexico Mexico City West 1.470633
 959  A*02-B*45-DRB1*04-DQB1*03:02  Mexico Campeche, Campeche city 1.470634
 960  A*24-B*40:02-DRB1*04-DQB1*03:02  Mexico Mexico City West 1.470633
 961  A*26-B*38-DRB1*04-DQB1*03:02  Mexico Mexico City West 1.470633
 962  A*29-B*38-DRB1*04-DQB1*03:02  Mexico Campeche, Campeche city 1.470634
 963  A*30-B*40:01-DRB1*04-DQB1*03:02  Mexico Mexico City West 1.470633
 964  A*31-B*48-DRB1*04-DQB1*03:02  Mexico Campeche, Campeche city 1.470634
 965  A*68-B*15:01-DRB1*04-DQB1*03:02  Mexico Campeche, Campeche city 1.470634
 966  A*68-B*35-DRB1*04-DQB1*03:02  Mexico Mexico City West 1.470633
 967  A*68-B*51-DRB1*04-DQB1*03:02  Mexico Campeche, Campeche city 1.470634
 968  A*02:01:01-B*27:05:02-C*01:02:01-DRB1*04:04:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 969  A*02:01:01-B*52:01:02-C*15:02:01-DRB1*04:04:01-DQB1*03:02:01-DPA1*03:01:01-DPB1*03:01:01  Brazil Rio de Janeiro Black 1.470668
 970  A*03:01:01-B*14:02:01-C*17:01:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 971  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Black 1.470668
 972  A*31:01:02-B*35:01:01-C*07:01:01-DRB1*07:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Black 1.470668
 973  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*04:02:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Black 1.470668
 974  DRB1*03:02-DQB1*03:02  Spain Tenerife Island 1.470083
 975  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Sinaloa, Culiacán 1.4563103
 976  A*02-B*51-DRB1*04-DQB1*03:02  Ecuador Andes Mixed Ancestry 1.4563824
 977  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Sinaloa, Culiacán 1.4563103
 978  A*02-B*35-DRB1*04-DQB1*03:02  Mexico Veracruz, Veracruz city 1.4535171
 979  A*02-B*44-DRB1*04:11-DQB1*03:02  Bolivia Quechua 1.450069
 980  A*02-B*48-DRB1*04:07-DQB1*03:02  Bolivia Quechua 1.450069
 981  A*26-B*38-DRB1*04:02-DQB1*03:02  Bolivia Quechua 1.450069
 982  A*31-B*35-DRB1*04:04-DQB1*03:02  Bolivia Quechua 1.450069
 983  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 1.4370174
 984  A*02:01-B*48:01-DRB1*09:01-DQB1*03:02  Peru Titikaka Lake Uros 1.4300105
 985  A*31:01:02-B*35:01-DRB1*04:07-DQB1*03:02  Peru Titikaka Lake Uros 1.4300105
 986  A*02-B*15:15-DRB1*04-DQB1*03:02  Mexico Jalisco, Tonala 1.428635
 987  A*02-B*35-DRB1*04-DQB1*03:02  Mexico Jalisco, Tonala 1.428635
 988  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Jalisco, Tonala 1.428635
 989  A*02-B*40:02-DRB1*04-DQB1*03:02  Mexico Jalisco, Tonala 1.428635
 990  A*24-B*15:05-DRB1*04-DQB1*03:02  Mexico Jalisco, Tonala 1.428635
 991  A*24-B*44-DRB1*04-DQB1*03:02  Mexico Jalisco, Tonala 1.428635
 992  A*29-B*44-DRB1*04-DQB1*03:02  Mexico Jalisco, Tonala 1.428635
 993  A*31-B*35-DRB1*04-DQB1*03:02  Mexico Zacatecas, Fresnillo 1.4286103
 994  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Jalisco, Tonala 1.428635
 995  A*68-B*15:01-DRB1*04-DQB1*03:02  Mexico Jalisco, Tonala 1.428635
 996  A*68-B*35-DRB1*04-DQB1*03:02  Mexico Jalisco, Tonala 1.428635
 997  A*68-B*40:02-DRB1*04-DQB1*03:02  Mexico Jalisco, Tonala 1.428635
 998  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Tabasco Rural 1.4085142
 999  A*02:01-B*51:01-DRB1*04:07-DQB1*03:02  USA South Dakota Lakota Sioux 1.4000302
 1,000  DRB1*04:01-DQA1*03-DQB1*03:02  Russia Siberia Negidal 1.400035

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 12,096) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 121  


   

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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