Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 101 to 200 (from 1,132) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 12  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*68:01:02-B*13:02:01-C*17:01:01-DRB1*11:04:01  Costa Rica African -Caribbean (G) 0.4902102
 102  A*68:02:01-B*42:01:01-C*17:01:01-DRB1*03:02:01  Costa Rica African -Caribbean (G) 0.4902102
 103  A*03:01-B*41:02-C*17:01-DRB1*11:01  Russia Bering Island Aleuts 0.4808104
 104  A*66:01:01-B*41:02:01-C*17:01-DRB1*13:03:02-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 105  A*66:01-B*41:02-C*17:01-DRB1*13:03  Poland DKMS 0.461420,653
 106  A*24:02:01-B*35:01:01-C*17:01:01-DRB1*04:05:04  Costa Rica Guanacaste Mestizo (G) 0.4545110
 107  A*24:02:01-B*44:03:01-C*17:01:01-DRB1*08:04:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 108  A*29:02:01-B*41:02:01-C*17:01:01-DRB1*12:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 109  A*34:02:01-B*58:02-C*17:01:01-DRB1*11:02:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 110  A*36:01-B*15:03:01-C*17:01:01-DRB1*09:01:02  Costa Rica Guanacaste Mestizo (G) 0.4545110
 111  A*36:01-B*15:03:01-C*17:01:01-DRB1*11:01:02  Costa Rica Guanacaste Mestizo (G) 0.4545110
 112  A*36:01-B*42:02-C*17:01:01-DRB1*08:04:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 113  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  USA NMDP Caribean Indian 0.444814,339
 114  A*03:01-B*40:05-C*17:01-E*01:01:01-F*01:03:01-G*01:01-DRB1*13:03-DQA1*05:01-DQB1*02:03  Portugal Azores Terceira Island 0.4386130
 115  A*31:01-B*51:01-C*17:01-E*01:03:01-F*01:01:01-G*01:03-DRB1*15:01-DQA1*01:02-DQB1*06:02  Portugal Azores Terceira Island 0.4386130
 116  A*66:01-B*07:20-C*17:01-E*01:01:01-F*01:01:02-G*01:01-DRB1*11:01-DQA1*05:05-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 117  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.43545,849
 118  A*30:01-B*42:01-C*17:01-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  Nicaragua Managua 0.4329339
 119  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 120  A*02:01-B*41:02-C*17:01-DRB1*13:03  Poland DKMS 0.418620,653
 121  A*23:01:01-B*41:01:01-C*17:01:01-DRB1*11:01:02-DQB1*03:01:01-DPA1*02:01:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 122  A*02:05:01-B*42:01:01-C*17:01:01-DRB1*03:02:01-DQB1*04:02:01-DPB1*105:01:01  South African Black 0.3520142
 123  A*03:01:01-B*15:10:01-C*17:01:01-DRB1*04:01:01-DQB1*02:02:01-DPB1*17:01:01  South African Black 0.3520142
 124  A*03:01:01-B*41:01:01-C*17:01:01-DRB1*08:04:01-DQB1*03:19:01-DPB1*106:01  South African Black 0.3520142
 125  A*03:01:01-B*42:01:01-C*17:01:01-DRB1*03:02:01-DQB1*03:19:01-DPB1*131:01  South African Black 0.3520142
 126  A*23:01:01-B*42:01:01-C*17:01:01-DRB1*11:02:01-DQB1*03:19:01-DPB1*835:01:01  South African Black 0.3520142
 127  A*29:02:01-B*42:01:01-C*17:01:01-DRB1*03:02:01-DQB1*04:02:01-DPB1*01:01:01  South African Black 0.3520142
 128  A*29:02:01-B*42:01:01-C*17:01:01-DRB1*11:02:01-DQB1*03:01:01-DPB1*11:01:01  South African Black 0.3520142
 129  A*30:01:01-B*07:02:01-C*17:01:01-DRB1*08:04:01-DQB1*03:01:01-DPB1*105:01:01  South African Black 0.3520142
 130  A*30:01:01-B*42:01:01-C*17:01:01-DRB1*03:01:01-DQB1*04:02:01-DPB1*665:01  South African Black 0.3520142
 131  A*30:01:01-B*42:01:01-C*17:01:01-DRB1*11:02:01-DQB1*03:19:01-DPB1*34:01:01  South African Black 0.3520142
 132  A*30:01:01-B*42:02:01-C*17:01:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*105:01:01  South African Black 0.3520142
 133  A*30:01:01-B*44:03:01-C*17:01:01-DRB1*03:02:01-DQB1*03:01:01-DPB1*02:01:19  South African Black 0.3520142
 134  A*30:02:01-B*42:01:01-C*17:01:01-DRB1*03:02:01-DQB1*04:02:01-DPB1*02:01:02  South African Black 0.3520142
 135  A*30:02:01-B*42:02:01-C*17:01:01-DRB1*13:02:01-DQB1*06:09:01-DPB1*13:01:01  South African Black 0.3520142
 136  A*43:01-B*42:02:01-C*17:01:01-DRB1*13:01:01-DQB1*06:04:01-DPB1*02:01:19  South African Black 0.3520142
 137  A*66:02-B*58:02:01-C*17:01:01-DRB1*03:02:01-DQB1*04:02:01-DPB1*55:01:01  South African Black 0.3520142
 138  A*68:01:01-B*42:01:01-C*17:01:01-DRB1*03:02:01-DQB1*02:02:01-DPB1*02:01:02  South African Black 0.3520142
 139  A*68:02:01-B*42:01:01-C*17:01:01-DRB1*03:02:01-DQB1*04:02:01-DPB1*01:01:01  South African Black 0.3520142
 140  A*74:01:01-B*53:01:01-C*17:01:01-DRB1*01:02:01-DQB1*05:01:01-DPB1*01:01:01  South African Black 0.3520142
 141  A*30:01-B*42:01-C*17:01-DRB1*08:04-DQB1*03:01  USA African American pop 4 0.35002,411
 142  A*11:01-B*42:01-C*17:01-DRB1*01:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 143  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 144  A*66:01-B*41:02-C*17:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.3497143
 145  B*41:01-C*17:01  Mexico Mexico City Mestizo population 0.3497143
 146  B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 147  B*41:02-C*17:01  Mexico Mexico City Mestizo population 0.3497143
 148  B*41:02-C*17:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.3497143
 149  B*42:01-C*17:01  Mexico Mexico City Mestizo population 0.3497143
 150  B*42:01-C*17:01-DRB1*01:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 151  A*03:01-B*41:02-C*17:01-DRB1*15:03  Brazil Vale do Ribeira Quilombos 0.3472144
 152  A*23:01-B*42:01-C*17:01-DRB1*01:02  Brazil Vale do Ribeira Quilombos 0.3472144
 153  A*24:02-B*41:01-C*17:01-DRB1*13:02  Brazil Vale do Ribeira Quilombos 0.3472144
 154  A*30:01-B*08:01-C*17:01-DRB1*03:02  Brazil Vale do Ribeira Quilombos 0.3472144
 155  A*30:01-B*45:01-C*17:01-DRB1*15:03  Brazil Vale do Ribeira Quilombos 0.3472144
 156  A*31:01-B*07:02-C*17:01-DRB1*01:01  Brazil Vale do Ribeira Quilombos 0.3472144
 157  A*01:01-B*41:02-C*17:01-DRB1*11:01-DQA1*05:01-DQB1*02:01  Brazil Puyanawa 0.3333150
 158  A*30:01-B*42:02-C*17:01-DRB1*11:01-DQA1*01:02-DQB1*06:02  Brazil Puyanawa 0.3333150
 159  A*02:22:01-B*41:02:01-C*17:01:01-DRB1*04:05:04  Nicaragua Mestizo (G) 0.3226155
 160  A*30:01:01-B*42:01:01-C*17:01:01-DRB1*11:01:02  Nicaragua Mestizo (G) 0.3226155
 161  A*30:02:01-B*41:01-C*17:01:01-DRB1*13:04  Nicaragua Mestizo (G) 0.3226155
 162  A*74:01-B*45:01-C*17:01:01-DRB1*15:03  Nicaragua Mestizo (G) 0.3226155
 163  A*01:01-C*17:01  Italy pop 5 0.3200975
 164  A*66:01-B*41:02-C*17:01-DRB1*13:03  Germany DKMS - France minority 0.32001,406
 165  A*01:01-B*41:01-C*17:01-DRB1*13:02-DQB1*06:04-DPB1*04:01  Tanzania Maasai 0.3195336
 166  A*24:02-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01-DPB1*03:01  Tanzania Maasai 0.3195336
 167  A*29:02-B*08:01-C*17:01-DRB1*13:02-DQB1*06:04-DPB1*03:01  Tanzania Maasai 0.3195336
 168  A*29:02-B*15:17-C*17:01-DRB1*03:01-DQB1*02:01-DPB1*30:01  Tanzania Maasai 0.3195336
 169  A*29:02-B*42:01-C*17:01-DRB1*03:02-DQB1*04:02-DPB1*13:01  Tanzania Maasai 0.3195336
 170  A*30:01-B*42:01-C*17:01-DRB1*13:01-DQB1*05:01-DPB1*01:01  Tanzania Maasai 0.3195336
 171  A*30:01-B*42:01-C*17:01-DRB1*15:03-DQB1*05:01-DPB1*02:01  Tanzania Maasai 0.3195336
 172  A*68:02-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01-DPB1*15:01  Tanzania Maasai 0.3195336
 173  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*04:03:01-DQB1*03:01:04-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 174  A*02:01:01-B*42:01:01-C*17:01:01-DRB1*15:03:01-DQB1*03:01:01-DPA1*01:12-DPB1*105:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 175  A*30:01:01-B*42:01:01-C*17:01:01-DRB1*03:02:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 176  A*30:01:01-B*42:02:01-C*17:01:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 177  A*68:01:01-B*41:01:01-C*17:01:01-DRB1*04:05:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*14:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 178  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.30804,335
 179  A*02:01-B*42:01-C*17:01-DRB1*12:02-DQA1*04:01-DQB1*03:01-DPB1*01:01  South Africa Worcester 0.3000159
 180  A*02:05-B*41:01-C*17:01-DRB1*04:01-DQA1*03:03-DQB1*03:02-DPB1*04:01  South Africa Worcester 0.3000159
 181  A*02:05-B*41:01-C*17:01-DRB1*11:01-DQA1*03:01-DQB1*03:01-DPB1*01:01  South Africa Worcester 0.3000159
 182  A*26:01-B*39:10-C*17:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*11:01  South Africa Worcester 0.3000159
 183  A*26:01-B*41:01-C*17:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*01:01  South Africa Worcester 0.3000159
 184  A*29:01-B*53:01-C*17:01-DRB1*13:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  South Africa Worcester 0.3000159
 185  A*30:01-B*42:01-C*17:01-DRB1*03:02-DQA1*03:03-DQB1*02:02-DPB1*105:01  South Africa Worcester 0.3000159
 186  A*30:01-B*42:01-C*17:01-DRB1*13:02-DQA1*01:01-DQB1*06:04-DPB1*04:02  South Africa Worcester 0.3000159
 187  A*30:01-B*42:02-C*17:01-DRB1*07:01-DQA1*02:01-DQB1*04:02-DPB1*01:01  South Africa Worcester 0.3000159
 188  A*30:01-B*42:02-C*17:01-DRB1*12:01-DQA1*01:01-DQB1*06:02-DPB1*01:01  South Africa Worcester 0.3000159
 189  A*34:01-B*42:02-C*17:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:02  South Africa Worcester 0.3000159
 190  A*68:01-B*15:01-C*17:01-DRB1*15:02-DQA1*01:03-DQB1*04:02-DPB1*09:01  South Africa Worcester 0.3000159
 191  A*68:02-B*41:01-C*17:01-DRB1*07:01-DQA1*03:01-DQB1*02:02-DPB1*03:01  South Africa Worcester 0.3000159
 192  A*68:02-B*42:01-C*17:01-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  South Africa Worcester 0.3000159
 193  A*68:27-B*41:01-C*17:01-DRB1*07:01-DQA1*04:01-DQB1*02:02-DPB1*04:01  South Africa Worcester 0.3000159
 194  A*74:01-B*42:01-C*17:01-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*105:01  South Africa Worcester 0.3000159
 195  A*80:01-B*42:01-C*17:01-DRB1*03:02-DQA1*04:01-DQB1*02:02-DPB1*17:01  South Africa Worcester 0.3000159
 196  A*30:01-B*42:01-C*17:01-DRB1*03:02-DQB1*04:02  USA Hispanic pop 2 0.28101,999
 197  A*02:02-B*42:01-C*17:01-DRB1*03:02-DQB1*04:02  USA African American pop 4 0.27102,411
 198  A*66:01-B*41:02-C*17:01-DRB1*13:03  Germany DKMS - Greece minority 0.26401,894
 199  A*32:01:01-B*41:01:01-C*17:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 200  A*36:03-B*42:01-C*17:01-DRB1*03:02-DQA1*01:01-DQB1*04:02-DPB1*01:01  USA San Diego 0.2600496

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 1,132) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 12  


   

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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