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 101 to 200 (from 635) records   Pages: 1 2 3 4 5 6 7 of 7  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*68:02-B*47:03-C*07:01-DRB1*03:01-DQB1*06:08-DPB1*02:01  Tanzania Maasai 0.1597336
 102  A*68:02-B*47:03-C*07:01-DRB1*13:01-DQB1*06:08-DPB1*414:01  Tanzania Maasai 0.1597336
 103  A*68:02-B*47:03-C*07:22-DRB1*13:03-DQB1*05:01-DPB1*106:01  Tanzania Maasai 0.1597336
 104  A*03:01-B*47:01  USA Hispanic pop 2 0.15701,999
 105  A*03-B*47-DRB1*11:01  Chile Santiago 0.1563920
 106  A*03-B*47-DRB1*03:01-DQB1*02  Mexico Durango Rural 0.1529326
 107  A*66-B*47-DRB1*11-DQB1*03:01  Mexico Durango Rural 0.1529326
 108  A*03-B*47-DRB1*08  Italy Lombardy 0.1500674
 109  A*11-B*47-DRB1*11  Italy Lombardy 0.1500674
 110  A*03:02-B*47:01-DRB1*03:01  Israel Ethiopia Jews 0.14705,928
 111  A*02:01-B*47:01-C*16:02-DRB1*10:01-DQB1*05:01  Italy pop 5 0.1400975
 112  A*03:01:01-B*47:01:01-C*06:02:01-DRB1*01:01:01-DQB1*06:04:01  India Kerala Malayalam speaking 0.1400356
 113  A*03:01-B*47:01-C*06:02-DRB1*04:05-DQB1*03:02  USA Hispanic pop 2 0.14001,999
 114  A*03:01-B*47:01-C*06:02-DRB1*11:01-DQB1*06:03  Italy pop 5 0.1400975
 115  A*03:01-B*47:01-C*06:02-DRB1*07:01  Germany DKMS - Croatia minority 0.13902,057
 116  A*02-B*47-DRB1*04-DQB1*03:02  Mexico Mexico City North 0.1328751
 117  A*02:01-B*47:01-C*06:02-DRB1*04:05  Germany DKMS - Greece minority 0.13201,894
 118  A*03:01-B*47:01-C*06:02-DRB1*07:01  Germany DKMS - Austria minority 0.12901,698
 119  A*66-B*47-DRB1*11-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.12561,189
 120  A*24-B*47-DRB1*04  Albania pop 2 0.1200432
 121  A*26-B*47-DRB1*10  Albania pop 2 0.1200432
 122  A*68-B*47-DRB1*01  Albania pop 2 0.1200432
 123  A*68-B*47-DRB1*14  Albania pop 2 0.1200432
 124  A*68:01-B*47:01-DRB1*11:04  Israel Iran Jews 0.11608,153
 125  B*47:01-C*06:02  Italy pop 5 0.1100975
 126  A*02:01-B*47:01-C*16:02-DRB1*10:01  Italy pop 5 0.1000975
 127  A*03:01-B*47:01-C*06:02-DRB1*13:01  Italy pop 5 0.1000975
 128  A*03:01-B*47:01-C*06:02-DRB1*15:01  Italy pop 5 0.1000975
 129  A*03:01:01-B*47:01:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.09931,510
 130  A*02:01:01-B*47:01:01-C*06:02:01  England Blood Donors of Mixed Ethnicity 0.0963519
 131  A*02:01-B*47:01-C*06:02-DRB1*04:05  Germany DKMS - United Kingdom minority 0.09601,043
 132  A*03:01-B*47:01-C*06:02-DRB1*07:01  Germany DKMS - United Kingdom minority 0.09601,043
 133  A*03:01-B*47:01-C*06:02-DRB1*07:01  Poland DKMS 0.095420,653
 134  A*02-B*47-DRB1*04-DQB1*03:02  Mexico Veracruz Rural 0.0924539
 135  A*02:01-B*47:01-C*16:02  Italy pop 5 0.0900975
 136  A*03:01-B*47:01-C*02:02  Italy pop 5 0.0900975
 137  A*03:01-B*47:01-C*06:02  Italy pop 5 0.0900975
 138  A*03:01-B*47:01-C*06:02-DRB1*01:01  Germany DKMS - Austria minority 0.08801,698
 139  A*66-B*47-DRB1*11-DQB1*03:01  Mexico Jalisco Rural 0.0853585
 140  A*03:01-B*47:01-C*06:02-DRB1*07:01  Germany DKMS - Portugal minority 0.08501,176
 141  A*31:01-B*47:01-C*07:01-DRB1*13:03  Germany DKMS - Portugal minority 0.08501,176
 142  A*03:01:01-B*47:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.083823,595
 143  A*23-B*47-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 0.08381,189
 144  B*47:01-C*07:01  USA African American pop 4 0.08302,411
 145  B*47:01-DRB1*11:01  Italy pop 5 0.0800975
 146  A*01-B*47-DRB1*11:04-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 147  A*11-B*47-DRB1*04:11-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 148  A*29-B*47-DRB1*01:03-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 149  A*24-B*47-C*06-DRB1*15  Macedonia MBMDR - Macedonian 0.07791,283
 150  A*68-B*47-C*06-DRB1*13  Macedonia MBMDR - Macedonian 0.07791,283
 151  B*47:01-C*07:01  USA Hispanic pop 2 0.07501,999
 152  A*03:02-B*47:01-DRB1*10:01  Israel Iraq Jews 0.071413,270
 153  A*01:01-B*47:01-DRB1*03:01  Israel Ethiopia Jews 0.07035,928
 154  A*11-B*47-DRB1*07  Iran pop 4 0.0700855
 155  A*23-B*47-DRB1*09  Iran pop 4 0.0700855
 156  A*03-B*47-DRB1*13  Brazil Para State 0.06935,000
 157  A*03-B*47-DRB1*11-DQB1*03:01  Mexico Mexico City North 0.0664751
 158  A*03-B*47-C*07-DRB1*13-DQA1*05-DQB1*03  Spain, Castilla y Leon, Northwest, 0.06571,743
 159  A*68:01-B*47:01-DRB1*03:01  Israel YemenJews 0.065615,542
 160  A*03:01-B*47:01-C*06:02-DRB1*13:01  Germany DKMS - Austria minority 0.06101,698
 161  A*68-B*47-DRB1*04-DQB1*03:02  Mexico Tlaxcala Rural 0.0602830
 162  A*03:01-B*47:01-C*06:02-DRB1*13:01-DQB1*06:03  India UCBB_Central Indian HLA 0.05954,204
 163  A*03-B*47-DRB1*10  Brazil Para Cord Blood Unit 0.0595841
 164  A*03-B*47-DRB1*13  Brazil Para Cord Blood Unit 0.0595841
 165  A*68:02-B*47:01-DRB1*03:01  Israel YemenJews 0.057115,542
 166  A*30:01-B*47:01-C*06:02-DRB1*04:05-DQB1*03:02-DPB1*13:01  Russia Karelia 0.05641,075
 167  A*03:01-B*47:01-C*06:02-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.05101,999
 168  A*24:02-B*47:01-C*06:02-DRB1*04:01  Germany DKMS - Austria minority 0.05001,698
 169  A*66:01-B*47:01  USA Hispanic pop 2 0.05001,999
 170  B*47:01-DRB1*01:01  Italy pop 5 0.0500975
 171  B*47:01-DRB1*13:02  Italy pop 5 0.0500975
 172  A*30:02-B*47:01-DRB1*11:04  Israel Druze 0.04915,914
 173  A*03:01-B*47:01-C*06:02-DRB1*13:02  Germany DKMS - Croatia minority 0.04902,057
 174  A*03:01-B*47:01-C*06:02-DRB1*13:03  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 175  A*26:01-B*47:01-C*06:02-DRB1*11:04  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 176  A*01:01-B*47:01-C*06:02-DRB1*12:01  Germany DKMS - United Kingdom minority 0.04801,043
 177  A*23-B*47-C*06-DRB1*13  Macedonia MBMDR - Macedonian 0.04781,283
 178  A*03:01-B*47:01-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*15:01  Germany DKMS - German donors 0.04773,456,066
 179  A*03-B*47-DRB1*11:97  Chile Santiago 0.0476920
 180  A*03:01-B*47:01-C*06:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 181  A*31:01-B*47:01-C*07:01-DRB1*12:01-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 182  A*66:01-B*47:01-C*06:02-DRB1*04:05-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 183  A*02:01-B*47:01-C*06:02-DRB1*13:01  Germany DKMS - Spain minority 0.04501,107
 184  A*02:01-B*47:03-C*07:01-DRB1*07:01  Germany DKMS - Spain minority 0.04501,107
 185  A*24:02-B*47:01-C*06:02-DRB1*07:01  Germany DKMS - Spain minority 0.04501,107
 186  A*29:02-B*47:01-C*16:01-DRB1*04:05  Germany DKMS - Spain minority 0.04501,107
 187  A*30:01-B*47:01-C*06:02-DRB1*14:01  Germany DKMS - Spain minority 0.04501,107
 188  A*68:01-B*47:01-DRB1*10:01  Israel YemenJews 0.044615,542
 189  A*02:01-B*47:03-C*07:01-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.04402,411
 190  A*23:01-B*47:01-C*07:01-DRB1*11:02-DQB1*03:01  USA African American pop 4 0.04402,411
 191  A*24:02-B*47:01  USA Hispanic pop 2 0.04401,999
 192  A*30:01-B*47:01-C*06:02-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.04401,772
 193  A*36:01-B*47:03-C*07:01-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.04402,411
 194  A*66:01-B*47:01-C*06:02-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.04402,411
 195  A*01:01-B*47:01-C*06:02-DRB1*09:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 196  A*01:01-B*47:01-C*06:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 197  A*03:01-B*47:01-C*06:02-DRB1*04:03  Germany DKMS - Portugal minority 0.04301,176
 198  A*03:01-B*47:01-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 199  A*03:01-B*47:01-C*06:02-DRB1*11:01  Germany DKMS - Portugal minority 0.04301,176
 200  A*11:01-B*47:01-C*06:02-DRB1*07:01  Germany DKMS - Portugal minority 0.04301,176

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 635) records   Pages: 1 2 3 4 5 6 7 of 7  


   

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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