Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 101 to 200 (from 200) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*02:01-B*15:03-C*02:10-DRB1*11:01-DQB1*03:19-DPB1*39:01  Tanzania Maasai 0.3195336
 102  A*02:02-B*15:03-C*02:10-DRB1*10:01-DQB1*05:01-DPB1*01:01  Tanzania Maasai 0.3195336
 103  A*30:04:01-B*51:01:01-C*02:10:01-DRB1*14:06:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 104  A*68:02:01-B*15:03:01-C*02:10:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 105  A*01:01-B*08:01-C*02:10-DRB1*04:01-DQA1*02:01-DQB1*06:02-DPB1*17:01  South Africa Worcester 0.3000159
 106  A*02:01-B*40:01-C*02:10-DRB1*10:01-DQA1*02:01-DQB1*05:08-DPB1*01:01  South Africa Worcester 0.3000159
 107  A*02:01-B*45:01-C*02:10-DRB1*04:01-DQA1*05:01-DQB1*06:03-DPB1*16:01  South Africa Worcester 0.3000159
 108  A*02:02-B*15:03-C*02:10-DRB1*04:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  South Africa Worcester 0.3000159
 109  A*02:05-B*27:05-C*02:10-DRB1*15:03-DQA1*05:09-DQB1*03:01-DPB1*105:01  South Africa Worcester 0.3000159
 110  A*02:05-B*44:03-C*02:10-DRB1*04:01-DQA1*02:01-DQB1*03:02-DPB1*17:01  South Africa Worcester 0.3000159
 111  A*02:05-B*44:03-C*02:10-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*11:01  South Africa Worcester 0.3000159
 112  A*03:01-B*07:02-C*02:10-DRB1*14:04-DQA1*03:03-DQB1*05:03-DPB1*04:01  South Africa Worcester 0.3000159
 113  A*23:01-B*08:01-C*02:10-DRB1*07:01-DQA1*03:03-DQB1*02:02-DPB1*02:01  South Africa Worcester 0.3000159
 114  A*29:02-B*15:03-C*02:10-DRB1*11:02-DQA1*05:05-DQB1*03:19-DPB1*34:01  South Africa Worcester 0.3000159
 115  A*30:01-B*15:03-C*02:10-DRB1*03:17-DQA1*01:02-DQB1*06:02-DPB1*02:01  South Africa Worcester 0.3000159
 116  A*30:01-B*15:03-C*02:10-DRB1*11:01-DQA1*05:05-DQB1*06:09-DPB1*02:01  South Africa Worcester 0.3000159
 117  A*30:02-B*44:03-C*02:10-DRB1*15:01-DQA1*01:03-DQB1*06:03-DPB1*105:01  South Africa Worcester 0.3000159
 118  A*30:04-B*39:01-C*02:10-DRB1*14:04-DQA1*02:01-DQB1*06:02-DPB1*17:01  South Africa Worcester 0.3000159
 119  A*32:01-B*15:03-C*02:10-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  South Africa Worcester 0.3000159
 120  A*32:01-B*40:02-C*02:10-DRB1*04:01-DQA1*03:01-DQB1*03:03-DPB1*04:01  South Africa Worcester 0.3000159
 121  A*33:01-B*44:03-C*02:10-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  South Africa Worcester 0.3000159
 122  A*34:02-B*15:10-C*02:10-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*18:01  South Africa Worcester 0.3000159
 123  A*66:01-B*14:06-C*02:10-DRB1*03:01-DQA1*05:01-DQB1*05:03-DPB1*13:01  South Africa Worcester 0.3000159
 124  A*66:03-B*53:01-C*02:10-DRB1*11:01-DQA1*01:01-DQB1*03:01-DPB1*02:01  South Africa Worcester 0.3000159
 125  A*74:01-B*15:03-C*02:10-DRB1*03:17-DQA1*01:02-DQB1*06:02-DPB1*01:01  South Africa Worcester 0.3000159
 126  A*74:01-B*15:03-C*02:10-DRB1*11:14-DQA1*01:02-DQB1*06:02-DPB1*01:01  South Africa Worcester 0.3000159
 127  A*24:02-B*15:03-C*02:10-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  USA San Diego 0.2600496
 128  A*30:01-B*15:16-C*02:10-DRB1*13:03-DQA1*05:01-DQB1*02:01-DPB1*01:01  USA San Diego 0.2600496
 129  A*33:01-B*15:03-C*02:10-DRB1*04:04-DQA1*03:01-DQB1*04:02-DPB1*04:01  USA San Diego 0.2600496
 130  A*68:02:01-B*15:03:01-C*02:10-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 131  A*68:02:01-B*15:03:01-C*02:10-DRB1*13:02:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 132  A*02:01-B*15:03-C*02:10-DRB1*11:04-DQA1*01:02-DQB1*05:01-DPB1*04:02  Nicaragua Managua 0.2165339
 133  A*24:02-B*15:03-C*02:10-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*13:01  Nicaragua Managua 0.2165339
 134  A*68:02-B*15:03-C*02:10-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*18:01  Nicaragua Managua 0.2165339
 135  B*14:02-C*02:10  Mexico Mexico City Mestizo pop 2 0.2100234
 136  B*15:03-C*02:10  Mexico Mexico City Mestizo pop 2 0.2100234
 137  A*02:01:01-B*15:03:01-C*02:10:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 138  A*02:01:01-B*18:01:01-C*02:10:01-DRB1*11:01:02-DQB1*05:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 139  A*02:01:01-B*18:01:01-C*02:10:01-DRB1*11:04:01-DQB1*03:19:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 140  A*02:02:01-B*15:03:01-C*02:10:01-DRB1*15:03:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 141  A*03:01:01-B*15:03:01-C*02:10:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 142  A*11:01:01-B*15:03:01-C*02:10:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 143  A*23:17:01-B*52:01:01-C*02:10:01-DRB1*15:02:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 144  A*29:02:01-B*44:03:01-C*02:10:01-DRB1*08:04:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 145  A*29:02:01-B*53:01:01-C*02:10:01-DRB1*13:02:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*10:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 146  A*30:01:01-B*18:01:01-C*02:10:01-DRB1*13:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 147  A*34:02:01-B*15:03:01-C*02:10:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*18:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 148  A*68:01:01-B*15:03:01-C*02:10:01-DRB1*09:01:02-DQB1*03:03:02-DPA1*02:01:08-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 149  A*74:01:01-B*15:03:01-C*02:10:01-DRB1*13:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 150  A*74:01:01-B*35:01:01-C*02:10:01-DRB1*11:01:02-DQB1*06:02:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 151  A*02:02-B*15:03-C*02:10-DRB1*16:02-DQB1*03:01-DPB1*13:01  Panama 0.1900462
 152  A*23:01-B*39:08-C*02:10-DRB1*04:01-DQB1*04:02-DPB1*04:01  Panama 0.1900462
 153  A*68:01-B*15:03-C*02:10-DRB1*13:02-DQB1*03:03-DPB1*02:01  Panama 0.1900462
 154  A*74:01-B*57:01-C*02:10-DRB1*03:02-DQB1*05:01-DPB1*40:01  Panama 0.1900462
 155  A*01:02-B*15:03-C*02:10-DRB1*11:01-DQB1*03:19-DPB1*03:01  Tanzania Maasai 0.1597336
 156  A*02:05-B*42:01-C*02:10-DRB1*03:02-DQB1*03:01-DPB1*01:01  Tanzania Maasai 0.1597336
 157  A*02:14-B*15:03-C*02:10-DRB1*13:02-DQB1*06:09-DPB1*04:01  Tanzania Maasai 0.1597336
 158  A*03:01-B*15:03-C*02:10-DRB1*01:02-DQB1*06:03-DPB1*17:01  Tanzania Maasai 0.1597336
 159  A*34:02-B*18:01-C*02:10-DRB1*11:01-DQB1*03:19-DPB1*105:01  Tanzania Maasai 0.1597336
 160  A*74:01-B*15:03-C*02:10-DRB1*11:01-DQB1*03:19-DPB1*04:02  Tanzania Maasai 0.1597336
 161  A*74:01-B*15:03-C*02:10-DRB1*13:02-DQB1*06:09-DPB1*02:01  Tanzania Maasai 0.1597336
 162  A*11:01:01-B*15:03:01-C*02:10:01-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356
 163  A*24:02:01-B*15:03:01-C*02:10-DRB1*03:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.1200221
 164  A*24:02:01-B*15:03:01-C*02:10-DRB1*03:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.1062221
 165  A*68:02:01-B*07:02:01-C*02:10  England Blood Donors of Mixed Ethnicity 0.0963519
 166  A*01:01-B*15:03-C*02:10-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.08601,159
 167  A*29:02-B*15:03-C*02:10-DRB1*13:02  Germany DKMS - Portugal minority 0.08501,176
 168  A*02:01-B*15:03-C*02:10-DRB1*07:01  Germany DKMS - Netherlands minority 0.07301,374
 169  A*26:01-B*15:03-C*02:10-DRB1*13:02  Germany DKMS - United Kingdom minority 0.04801,043
 170  A*30:02-B*15:03-C*02:10-DRB1*15:01  Germany DKMS - United Kingdom minority 0.04801,043
 171  A*23:01-B*15:03-C*02:10-DRB1*07:01  Germany DKMS - Spain minority 0.04501,107
 172  A*26:01-B*15:03-C*02:10-DRB1*03:01  Germany DKMS - Spain minority 0.04501,107
 173  A*68:01-B*15:03-C*02:10-DRB1*13:02  Germany DKMS - Spain minority 0.04501,107
 174  A*74:01-B*15:03-C*02:10-DRB1*08:04  Germany DKMS - Spain minority 0.04501,107
 175  A*74:01-B*15:03-C*02:10-DRB1*13:02  Germany DKMS - Spain minority 0.04501,107
 176  A*02:02-B*15:03-C*02:10-DRB1*08:04  Germany DKMS - Portugal minority 0.04301,176
 177  A*02:05-B*15:03-C*02:10-DRB1*13:01  Germany DKMS - Portugal minority 0.04301,176
 178  A*03:01-B*18:01-C*02:10-DRB1*11:01-DQB1*05:02  Germany DKMS - Italy minority 0.04301,159
 179  A*23:01-B*15:03-C*02:10-DRB1*04:02  Germany DKMS - Portugal minority 0.04301,176
 180  A*74:01-B*15:03-C*02:10-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 181  A*74:01-B*15:03-C*02:10-DRB1*04:05  Germany DKMS - Portugal minority 0.04301,176
 182  A*03:01-B*18:01-C*02:10-DRB1*11:01-DQB1*05:02  Germany DKMS - Turkey minority 0.04104,856
 183  A*03:01-B*15:03-C*02:10-DRB1*07:01  Germany DKMS - Netherlands minority 0.03601,374
 184  A*74:01-B*15:03-C*02:10-DRB1*13:01  Germany DKMS - Netherlands minority 0.03601,374
 185  A*74:01-B*15:03-C*02:10-DRB1*13:02  Germany DKMS - Netherlands minority 0.03601,374
 186  A*02:01-B*15:03-C*02:10-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 187  A*02:01-B*15:03-C*02:10-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 188  A*02:02-B*15:03-C*02:10-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 189  A*29:02-B*15:03-C*02:10-DRB1*04:02-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 190  A*66:01-B*15:03-C*02:10-DRB1*11:01-DQB1*03:19  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 191  A*68:01-B*15:03-C*02:10-DRB1*04:05-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 192  A*31:01-B*15:03-C*02:10-DRB1*11:02  Germany DKMS - Austria minority 0.02901,698
 193  A*74:01-B*18:01-C*02:10-DRB1*09:01  Germany DKMS - Austria minority 0.02901,698
 194  A*03:01-B*15:03-C*02:10-DRB1*10:01  Germany DKMS - Croatia minority 0.02402,057
 195  A*23:01-B*15:03-C*02:10-DRB1*01:02-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 196  A*74:01-B*15:03-C*02:10-DRB1*11:01-DQB1*03:19  India West UCBB 0.00865,829
 197  A*68:01-B*14:01-C*02:10-DRB1*15:03-DQB1*06:02  India South UCBB 0.004411,446
 198  A*24:02-B*15:03-C*02:10-DRB1*03:01  Poland DKMS 0.002420,653
 199  A*26:08-B*15:03-C*02:10-DRB1*01:02  Poland DKMS 0.002420,653
 200  A*32:01-B*15:03-C*02:10-DRB1*11:04  Poland DKMS 0.002420,653

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 101 to 200 (from 200) records   Pages: 1 2 of 2  


   

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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