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 : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1,101 to 1,200 (from 4,145) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 42  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1,101  A*24:02-B*40:02-C*03:04-DRB1*14:05-DQA1*01:01-DQB1*05:03-DPB1*04:02  USA San Diego 0.2600496
 1,102  A*24:02-B*40:02-C*08:01-DRB1*16:02-DQA1*04:01-DQB1*04:02-DPB1*04:02  USA San Diego 0.2600496
 1,103  A*31:01-B*40:02-C*07:02-DRB1*04:03-DQA1*03:01-DQB1*05:03-DPB1*05:01  USA San Diego 0.2600496
 1,104  A*68:01-B*40:02-C*03:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:02  USA San Diego 0.2600496
 1,105  A*68:01-B*40:02-C*03:04-DRB1*08:02-DQA1*05:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.2600496
 1,106  A*68:01-B*40:02-C*03:04-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.2600496
 1,107  A*24:02:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.25841,510
 1,108  A*11:01-B*40:02-C*03:02-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 1,109  A*11:01-B*40:02-C*03:03-DRB1*04:03-DQB1*05:03  Malaysia Peninsular Chinese 0.2577194
 1,110  A*11:01-B*40:02-C*15:02-DRB1*11:06-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 1,111  A*24:02-B*40:02-C*03:03-DRB1*04:01-DQB1*06:01  Malaysia Peninsular Chinese 0.2577194
 1,112  A*24:02-B*40:02-C*08:03-DRB1*14:05-DQB1*05:03  Malaysia Peninsular Chinese 0.2577194
 1,113  A*26:01-B*40:02-C*03:04-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Chinese 0.2577194
 1,114  A*31:01-B*40:02-C*03:04-DRB1*04:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 1,115  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Yucatan, Merida 0.2564192
 1,116  A*03-B*40:02-DRB1*04-DQB1*03:02  Mexico Yucatan, Merida 0.2564192
 1,117  A*24-B*40:02-DRB1*08-DQB1*03:02  Mexico Yucatan, Merida 0.2564192
 1,118  A*31-B*40:02-DRB1*08-DQB1*04  Mexico Yucatan, Merida 0.2564192
 1,119  A*24:02-B*40:02-C*03:05-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.25631,463
 1,120  A*02-B*40:02-DRB1*14-DQB1*03:01  Mexico Jalisco Rural 0.2560585
 1,121  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Jalisco Rural 0.2560585
 1,122  A*24:02-B*40:02-C*03:04-DRB1*04:05  Japan pop 16 0.255018,604
 1,123  A*31:01-B*40:02  USA Asian pop 2 0.25501,772
 1,124  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Sonora Rural 0.2538197
 1,125  A*02-B*40:02-DRB1*08-DQB1*06  Mexico Sonora Rural 0.2538197
 1,126  A*02-B*40:02-DRB1*10-DQB1*05  Mexico Sonora Rural 0.2538197
 1,127  A*24-B*40:02-DRB1*04-DQB1*03:02  Mexico Sonora Rural 0.2538197
 1,128  A*24-B*40:02-DRB1*11-DQB1*03:01  Mexico Sonora Rural 0.2538197
 1,129  A*31-B*40:02-DRB1*04-DQB1*03:01  Mexico Sonora Rural 0.2538197
 1,130  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Sonora Rural 0.2538197
 1,131  A*68-B*40:02-DRB1*08-DQB1*06  Mexico Sonora Rural 0.2538197
 1,132  A*02:01-B*40:02-C*02:02-DRB1*11:01  Germany DKMS - Romania minority 0.25201,234
 1,133  A*68:01-B*40:02-C*03:04-DRB1*04:01-DQB1*03:01  USA NMDP Alaska Native or Aleut 0.25191,376
 1,134  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 0.25131,189
 1,135  A*31-B*40:02-DRB1*08-DQB1*04  Mexico Puebla, Puebla city 0.25051,994
 1,136  A*02-B*40:02-DRB1*14-DQB1*03:01  Mexico Coahuila, Torreon 0.2500396
 1,137  A*02-B*40:02-DRB1*16-DQB1*03:01  Mexico Coahuila, Torreon 0.2500396
 1,138  A*24-B*40:02-DRB1*16-DQB1*03:01  Mexico Coahuila, Torreon 0.2500396
 1,139  A*68-B*40:02-DRB1*03:01-DQB1*02  Mexico Coahuila, Torreon 0.2500396
 1,140  A*68-B*40:02-DRB1*16-DQB1*03:03  Mexico Coahuila, Torreon 0.2500396
 1,141  A*02:06-B*40:02  USA Asian pop 2 0.24801,772
 1,142  A*68:01-B*40:02-C*03:04-DRB1*14:01-DQB1*05:03  USA NMDP Alaska Native or Aleut 0.24601,376
 1,143  A*25:01-B*40:02-C*02:02-DRB1*01:01  Germany DKMS - Bosnia and Herzegovina minority 0.24301,028
 1,144  A*32:01-B*40:02-C*02:02-DRB1*16:02  Germany DKMS - Bosnia and Herzegovina minority 0.24301,028
 1,145  A*24-B*40:02-DRB1*08-DQB1*04  Ecuador Andes Mixed Ancestry 0.2427824
 1,146  A*24-B*40:02-DRB1*09-DQB1*03:03  Ecuador Andes Mixed Ancestry 0.2427824
 1,147  A*68-B*40:02-DRB1*16-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.2427824
 1,148  A*02-B*40:02-DRB1*14-DQB1*03:01  Mexico Tlaxcala Rural 0.2410830
 1,149  A*02:06-B*40:02-C*03:04-DRB1*14:01-DQB1*05:03  USA NMDP Alaska Native or Aleut 0.24081,376
 1,150  A*02-B*40:02-DRB1*13-DQB1*06  Mexico Puebla Rural 0.2398833
 1,151  A*24:02-B*40:02-C*03:04-DRB1*03:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.23921,463
 1,152  A*32:01-B*40:02-C*02:02-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.23921,463
 1,153  A*02:22-B*40:02-C*03:05-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.23891,463
 1,154  A*02:06-B*40:02-C*03:06-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.23401,999
 1,155  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.23181,510
 1,156  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 1,157  A*01-B*40:02-DRB1*15-DQB1*06  Mexico Coahuila Rural 0.2294216
 1,158  A*02:01-B*40:02-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 1,159  A*02:01-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 1,160  A*02:01-B*40:02-C*03:05-DRB1*14:02-DQA1*05:03-DQB1*03:04-DPA1*01:03-DPB1*03:01  Mexico Chiapas Lacandon Mayans 0.2294218
 1,161  A*02:06-B*40:02-C*15:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 1,162  A*02:06-B*40:02-C*15:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 1,163  A*02-B*40:02-DRB1*14-DQB1*03:01  Mexico Coahuila Rural 0.2294216
 1,164  A*24:02-B*40:02-C*03:04-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.2294218
 1,165  A*24:02-B*40:02-C*03:04-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 1,166  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 1,167  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 1,168  A*24:02-B*40:02-C*15:02-DRB1*14:06-DQA1*05:01-DQB1*03:01-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 1,169  A*24:02-B*40:02-C*15:02-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 1,170  A*24:14-B*40:02-C*03:04-DRB1*14:02-DQA1*05:01-DQB1*03:01-DPA1*01:03-DPB1*03:01  Mexico Chiapas Lacandon Mayans 0.2294218
 1,171  A*24:14-B*40:02-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.2294218
 1,172  A*24:14-B*40:02-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*02:01-DPB1*14:01  Mexico Chiapas Lacandon Mayans 0.2294218
 1,173  A*24:14-B*40:02-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*02:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 1,174  A*24:14-B*40:02-C*03:05-DRB1*14:06-DQA1*05:05-DQB1*03:04-DPA1*01:03-DPB1*03:01  Mexico Chiapas Lacandon Mayans 0.2294218
 1,175  A*31:01-B*40:02-C*03:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 1,176  A*31:01-B*40:02-C*03:04-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 1,177  A*31:01-B*40:02-C*03:04-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*105:01  Mexico Chiapas Lacandon Mayans 0.2294218
 1,178  A*31:01-B*40:02-C*03:04-DRB1*08:01-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 1,179  A*31:01-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 1,180  A*31:01-B*40:02-C*03:05-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 1,181  A*31:01-B*40:02-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Mexico Chiapas Lacandon Mayans 0.2294218
 1,182  A*31-B*40:02-DRB1*08-DQB1*04  Mexico Coahuila Rural 0.2294216
 1,183  A*68:01-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 1,184  A*68:05-B*40:02-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 1,185  A*68:05-B*40:02-C*15:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Mexico Chiapas Lacandon Mayans 0.2294218
 1,186  A*68:05-B*40:02-C*15:02-DRB1*04:51-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Mexico Chiapas Lacandon Mayans 0.2294218
 1,187  A*24:02-B*40:02-C*02:02-DRB1*11:01  Poland DKMS 0.227620,653
 1,188  A*03-B*40:02-DRB1*13-DQB1*06  Mexico Nuevo Leon Rural 0.2273439
 1,189  A*68:01-B*40:02-C*03:04-DRB1*09:01-DQB1*03:03  USA NMDP Alaska Native or Aleut 0.22631,376
 1,190  A*02:01:01-B*40:02:01-C*03:05-DRB1*08:02:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 1,191  A*02:06:01-B*40:02:01-C*03:05-DRB1*08:02:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 1,192  A*33:01:01-B*40:02:01-C*03:05-DRB1*08:02:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 1,193  A*68:01:02-B*40:02:01-C*03:04:01-DRB1*04:07-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.2262221
 1,194  A*68:01:02-B*40:02:01-C*03:05-DRB1*08:02:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 1,195  A*32:01-B*40:02-C*02:02-DRB1*13:01-DQB1*06:03  USA NMDP Caribean Indian 0.222214,339
 1,196  A*02-B*40:02-DRB1*11-DQB1*03:01  Mexico Nuevo Leon, Monterrey city 0.2212226
 1,197  A*02-B*40:02-DRB1*14-DQB1*03:02  Mexico Nuevo Leon, Monterrey city 0.2212226
 1,198  A*02-B*40:02-DRB1*16-DQB1*03:01  Mexico Nuevo Leon, Monterrey city 0.2212226
 1,199  A*03-B*40:02-DRB1*01-DQB1*05  Mexico Nuevo Leon, Monterrey city 0.2212226
 1,200  A*03-B*40:02-DRB1*13-DQB1*06  Mexico Nuevo Leon, Monterrey city 0.2212226

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 1,101 to 1,200 (from 4,145) records   Pages: 11 12 13 14 15 16 17 18 19 20 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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