Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1,101 to 1,200 (from 3,188) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 32  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1,101  A*24:14-B*35:01-C*04:01-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.10251,463
 1,102  A*68:01-B*35:01-C*04:01-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.10251,463
 1,103  A*68:01-B*35:31-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.10251,463
 1,104  A*02:01-B*40:02-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.10221,463
 1,105  A*02:01:01:01-B*15:01:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.10151,510
 1,106  DRB1*08:01:01-DQB1*04:02-DPB1*03:01:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 1,107  DRB1*08:01:01-DQB1*04:02-DPB1*04:01:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 1,108  DRB1*08:02:01-DQB1*04:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1010496
 1,109  DRB1*12:01:01-DQB1*04:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1010496
 1,110  A*02:01-B*40:01-C*03:04-DRB1*08:01-DQB1*04:02-DPB1*04:01  Germany DKMS - German donors 0.10033,456,066
 1,111  DRB1*03:01-DQB1*04:02  Italy pop 5 0.1000975
 1,112  DRB1*15:01-DQB1*04:02  Italy pop 5 0.1000975
 1,113  A*31:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.09961,463
 1,114  A*25:01:01-B*18:01:01-C*12:03:01:01-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.09931,510
 1,115  A*24:03-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.09641,463
 1,116  A*31:01:02-B*35:12:01-C*04:01:01-DRB1*04:11:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 0.0960221
 1,117  A*24:02-B*39:06-C*07:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.09501,999
 1,118  A*02:11:01-B*48:02:01-C*04:01:01-DRB1*04:11:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 0.0947221
 1,119  A*02:01:01-B*15:01:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.094623,595
 1,120  A*01:01-B*39:06-C*07:02-DRB1*08:01-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 1,121  A*02:01-B*15:30-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 1,122  A*02:01-B*41:01-C*17:01-DRB1*04:04-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 1,123  A*02:01-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 1,124  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 1,125  A*02:06-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 1,126  A*02:06-B*40:02-C*15:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 1,127  A*24:02-B*35:01-C*03:04-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 1,128  A*24:02-B*39:06-C*07:02-DRB1*04:10-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 1,129  A*24:02-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 1,130  A*30:02-B*41:01-C*17:01-DRB1*08:04-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 1,131  A*31:01-B*51:02-C*08:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 1,132  A*66:01-B*42:01-C*17:01-DRB1*03:02-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 1,133  A*68:01-B*52:01-C*03:04-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 1,134  A*26:01:01-B*56:01:01-C*01:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.093623,595
 1,135  A*74:01-B*35:01-C*04:01-DRB1*03:02-DQB1*04:02  USA African American pop 4 0.09202,411
 1,136  DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 0.09171,064
 1,137  A*02:01-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.09051,463
 1,138  A*24:02-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.09051,463
 1,139  A*24:02-B*51:01-C*14:02-DRB1*08:01-DQB1*04:02  Germany DKMS - Turkey minority 0.09004,856
 1,140  DRB1*12:01-DQB1*04:02  Italy pop 5 0.0900975
 1,141  DRB1*13:02-DQB1*04:02  Italy pop 5 0.0900975
 1,142  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.089323,595
 1,143  A*02:06-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  USA Asian pop 2 0.08901,772
 1,144  A*24:02-B*40:01-C*07:02-DRB1*08:09-DQB1*04:02  USA Asian pop 2 0.08901,772
 1,145  A*30:04-B*14:01-C*08:02-DRB1*04:04-DQB1*04:02  USA Asian pop 2 0.08901,772
 1,146  A*34:01-B*15:35-C*07:27-DRB1*04:05-DQB1*04:02  USA Asian pop 2 0.08901,772
 1,147  A*30:01-B*53:01-C*04:01-DRB1*03:02-DQB1*04:02  USA African American pop 4 0.08802,411
 1,148  A*33:03-B*53:01-C*04:01-DRB1*03:02-DQB1*04:02  USA African American pop 4 0.08802,411
 1,149  A*02:02-B*51:01-C*16:01-DRB1*03:02-DQB1*04:02  USA African American pop 4 0.08702,411
 1,150  A*03:01-B*35:01-C*04:01-DRB1*03:02-DQB1*04:02  USA African American pop 4 0.08702,411
 1,151  A*03:01-B*49:01-C*07:01-DRB1*03:02-DQB1*04:02  USA African American pop 4 0.08702,411
 1,152  A*23:01-B*58:01-C*03:02-DRB1*03:02-DQB1*04:02  USA African American pop 4 0.08702,411
 1,153  A*29:02-B*81:01-C*18:01-DRB1*08:04-DQB1*04:02  USA African American pop 4 0.08702,411
 1,154  A*33:01-B*42:01-C*17:01-DRB1*03:02-DQB1*04:02  USA African American pop 4 0.08702,411
 1,155  A*33:03-B*15:16-C*14:02-DRB1*03:02-DQB1*04:02  USA African American pop 4 0.08702,411
 1,156  A*34:02-B*35:01-C*16:01-DRB1*03:02-DQB1*04:02  USA African American pop 4 0.08702,411
 1,157  A*02:01-B*15:01-C*01:02-DRB1*08:01-DQB1*04:02  Germany DKMS - Italy minority 0.08601,159
 1,158  A*02:01-B*15:01-C*04:01-DRB1*08:01-DQB1*04:02  Germany DKMS - Italy minority 0.08601,159
 1,159  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQB1*04:02  Germany DKMS - Italy minority 0.08601,159
 1,160  A*03:01-B*56:01-C*01:02-DRB1*08:01-DQB1*04:02  Germany DKMS - Italy minority 0.08601,159
 1,161  A*24:02-B*37:01-C*06:02-DRB1*08:01-DQB1*04:02  Germany DKMS - Italy minority 0.08601,159
 1,162  A*24:02-B*40:02-C*03:05-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.08541,463
 1,163  A*11:01-B*40:01-C*07:02-DRB1*08:09-DQB1*04:02  USA Asian pop 2 0.08501,772
 1,164  DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Hong Kong Chinese HKBMDR. DQ and DP 0.08361,064
 1,165  A*23:01-B*08:01-C*07:02-DRB1*13:03-DQB1*04:02  USA Hispanic pop 2 0.08301,999
 1,166  A*31:01-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.08251,463
 1,167  A*02:01-B*50:01-C*06:02-DRB1*04:06-DQB1*04:02  India Tamil Nadu 0.08032,492
 1,168  A*02:11-B*35:03-C*04:01-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.08032,492
 1,169  A*24:02-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.08011,463
 1,170  A*01-B*37-DRB1*11:01-DQA1*05:05-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,171  A*01-B*51-DRB1*08:01-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,172  A*02-B*07-DRB1*04:04-DQA1*03:02-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,173  A*02-B*14-DRB1*03:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,174  A*02-B*15-DRB1*04:11-DQA1*03:02-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,175  A*02-B*15-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,176  A*02-B*15-DRB1*08:04-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,177  A*02-B*40-DRB1*08:01-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,178  A*02-B*45-DRB1*03:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,179  A*02-B*56-DRB1*08:01-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,180  A*03-B*18-DRB1*08:01-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,181  A*03-B*45-DRB1*08:04-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,182  A*11-B*35-DRB1*13:01-DQA1*05:05-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,183  A*11-B*38-DRB1*08:01-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,184  A*11-B*39-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,185  A*11-B*52-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,186  A*11-B*53-DRB1*08:01-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,187  A*23-B*35-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,188  A*23-B*37-DRB1*08:01-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,189  A*23-B*45-DRB1*03:02-DQA1*05:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,190  A*24-B*07-DRB1*08:02-DQA1*06:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,191  A*24-B*15-DRB1*08:04-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,192  A*24-B*18-DRB1*08:01-DQA1*03:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,193  A*24-B*39-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,194  A*24-B*44-DRB1*04:01-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,195  A*24-B*50-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,196  A*25-B*18-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,197  A*25-B*42-DRB1*15:02-DQA1*01:03-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,198  A*26-B*49-DRB1*04:06-DQA1*03:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,199  A*26-B*49-DRB1*15:01-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 1,200  A*29-B*15-DRB1*08:01-DQA1*01:02-DQB1*04:02  Brazil Paraná Caucasian 0.0780641

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 3,188) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 32  


   

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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