Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 101 to 200 (from 11,686) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 117  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*24:02-B*35:01-C*04:01  China Guizhou Province Miao pop 2 2.400085
 102  B*35:12-C*04:01  USA Hispanic 2.4000234
 103  A*02:01:01-B*53:01:01-C*04:01:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*02:01:08-DPB1*105:01:01  Brazil Barra Mansa Rio State Black 2.381073
 104  A*02:04-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Black 2.381073
 105  A*02:05:01-B*44:03:01-C*04:01:01-DRB1*13:02:01-DQB1*03:02:01-DPA1*02:01:07-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 2.381073
 106  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*13:02:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Black 2.381073
 107  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*04:05:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Black 2.381073
 108  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*17:01:01  Brazil Barra Mansa Rio State Black 2.381073
 109  A*30:01:01-B*50:01:01-C*04:01:01-DRB1*11:01:02-DQB1*03:01:01-DPA1*03:01:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Black 2.381073
 110  A*68:02:01-B*35:03:01-C*04:01:01-DRB1*12:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 2.381073
 111  A*24:02-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Iran Gorgan 2.340064
 112  A*11:01-B*35:01-C*04:01-DRB1*14:01-DQA1*01:01-DQB1*05:03  Brazil Puyanawa 2.3333150
 113  A*02:36-B*13:02-C*04:01  India Mumbai Maratha 2.300091
 114  A*11:01-B*15:01-C*04:01  South Korea pop 3 2.3000485
 115  A*36:01-B*53:01-C*04:01  Zambia Lusaka 2.300044
 116  A*11:01-B*35:01-C*04:01  Ireland Northern 2.20001,000
 117  B*35:01-C*04:01  Uganda Kampala 2.2000161
 118  A*03:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Netherlands minority 2.18401,374
 119  B*35:01-C*04:01  USA Asian pop 2 2.13401,772
 120  A*24:02-B*35:01-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 2.127747
 121  A*24:02-B*35:01-C*04:01-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 2.127747
 122  A*24:02-B*35:01-C*04:01-DRB1*14:06-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 2.127747
 123  A*24:02-C*04:01  Taiwan Puyuma 2.100050
 124  B*27:03/27:05/27:10-C*04:01  USA Alaska Yupik 2.1000252
 125  B*35:01-C*04:01  Kenya Luo 2.1000265
 126  A*02:01-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 2.0979143
 127  A*24:02-B*35:02-C*04:01-DRB1*11:04  Brazil Vale do Ribeira Quilombos 2.0833144
 128  A*02:01-B*35:12-C*04:01-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 2.0642218
 129  A*24:07-B*35:05:01-C*04:01:01  South African Mixed ancestry 2.000050
 130  A*24:07-B*35:05-C*04:01  China Southwest Dai 2.0000124
 131  A*26:01-C*04:01  Taiwan Rukai 2.000050
 132  A*36:01-B*53:01-C*04:01  USA African American 2.0000252
 133  B*15:27-C*04:01  Taiwan Siraya 2.000051
 134  B*35:16-C*04:01  India West Coast Parsi 2.000050
 135  B*35:24-C*04:01  Mexico Oaxaca Mixtec 2.0000103
 136  B*40:01-C*04:01  Taiwan Rukai 2.000050
 137  B*44:03-C*04:01  USA African American 2.0000252
 138  A*02:02-B*53:01:01-C*04:01:01-DRB1*15:03  Costa Rica African -Caribbean (G) 1.9608102
 139  A*23:01:01-B*53:01:01-C*04:01:01-DRB1*11:01:02  Costa Rica African -Caribbean (G) 1.9608102
 140  A*68:01-B*35:03-C*04:01-DRB1*04:05-DQA1*03:03-DQB1*03:02  United Arab Emirates Abu Dhabi 1.920052
 141  A*34:02-B*53:01-C*04:01  Mali Bandiagara 1.9000138
 142  A*36:01-B*53:01-C*04:01  Kenya Luo 1.9000265
 143  B*15:03-C*04:01  Kenya Nandi 1.9000240
 144  B*53:01-C*04:01  USA Hispanic 1.9000234
 145  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Russia Karelia 1.88471,075
 146  B*35:03-C*04:01  Italy pop 5 1.8600975
 147  A*34:02:01-B*44:03:01-C*04:01:01-DRB1*13:01  Costa Rica Guanacaste Mestizo (G) 1.8182110
 148  A*24:07-B*35:05-C*04:01-DRB1*12:02-DQB1*03:01  Vietnam Hanoi Kinh pop 2 1.8000170
 149  B*35:01-C*04:01-DRB1*01:03-DQB1*05:01  Ireland South 1.8000250
 150  B*40:01-C*04:01  Taiwan Taroko 1.800055
 151  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 1.7647170
 152  B*35:12-C*04:01  USA Hispanic pop 2 1.75601,999
 153  B*35:02-C*04:01  Mexico Mexico City Mestizo population 1.7483143
 154  B*44:03-C*04:01  USA Hispanic pop 2 1.74801,999
 155  A*24:02-B*40:01-C*04:01-DRB1*04:03-DQB1*03:02  USA NMDP Hawaiian or other Pacific Islander 1.737511,499
 156  A*11:01-B*35:01-C*04:01-DRB1*01:01  Brazil Vale do Ribeira Quilombos 1.7361144
 157  A*66:03-B*35:01-C*04:01-DRB1*11:01  Brazil Vale do Ribeira Quilombos 1.7361144
 158  A*02:11:01-B*35:03:01-C*04:01:01-DRB1*15:02:02-DQB1*06:01:01  India Karnataka Kannada Speaking 1.7240174
 159  A*02:01:01-B*35:27-C*04:01:01-DRB1*03:01  Iran Baloch 1.7000100
 160  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01  Iran Baloch 1.7000100
 161  A*11:01-C*04:01  Taiwan Siraya 1.700051
 162  A*30:02-B*53:01-C*04:01:01-DRB1*03:01  Iran Baloch 1.7000100
 163  B*81:01-C*04:01  Kenya Luo 1.7000265
 164  A*02:01:01-B*35:01:01-C*04:01-DRB1*01:01  South Africa Caucasians 1.6700102
 165  A*11:01-B*15:01-C*04:01-DRB1*04:06-DRB4*01:01-DQB1*03:02  USA NMDP Korean 1.641877,584
 166  B*35:17-C*04:01  USA Hispanic pop 2 1.63101,999
 167  A*68:02:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01  Spain, Canary Islands, Gran canaria island 1.6300215
 168  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 1.6290221
 169  A*24:14-B*35:01-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Mexico Chiapas Lacandon Mayans 1.6055218
 170  A*03:01-B*35:01-C*04:01  USA San Francisco Caucasian 1.6000220
 171  A*23:01-B*44:03-C*04:01  Uganda Kampala 1.6000161
 172  A*24:02-B*35:01-C*04:01  USA North American Native 1.6000187
 173  B*07:02-C*04:01  India Mumbai Maratha 1.600091
 174  B*35:01-C*04:01  India Mumbai Maratha 1.600091
 175  B*35:01-C*04:01  USA Asian 1.6000358
 176  B*35:02-C*04:01  Uganda Kampala 1.6000161
 177  B*44:03-C*04:01  USA North American Native 1.6000187
 178  A*01:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Iran Gorgan 1.560064
 179  B*35:02-C*04:01  Italy pop 5 1.5500975
 180  A*03:01-B*35:01-C*04:01-DRB1*01:01  Germany pop 6 1.54008,862
 181  A*01:01-B*53:01-C*04:01  Kenya Nandi 1.5000240
 182  A*02:01-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 1.5000234
 183  A*03:01-B*35:01-C*04:01  USA Caucasian pop 2 1.5000265
 184  A*24:02-B*35:02-C*04:01  Italy pop 5 1.5000975
 185  B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 1.5000234
 186  B*35:21-C*04:01  Mexico Oaxaca Zapotec 1.500090
 187  B*35:43-C*04:01  Mexico Oaxaca Zapotec 1.500090
 188  B*40:01-C*04:01  Taiwan Minnan pop 1 1.5000102
 189  A*02:01-B*35:12-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 1.492567
 190  A*11:01-B*35:03-C*04:01-DRB1*15:01-DQA1*01:02-DQB1*06:02  Mexico Tixcacaltuyub Maya 1.492567
 191  A*24:02-B*35:12-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 1.492567
 192  A*24:07:01-B*35:05:01-C*04:01:01-DRB1*12:02:01-DQB1*03:01:01  Vietnam Kinh 1.4850101
 193  A*01:01:01-B*08:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Black 1.470668
 194  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*03:01  Costa Rica African -Caribbean (G) 1.4706102
 195  A*03:01:01-B*53:01:01-C*04:01:01-DRB1*11:03:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 196  A*11:01:01-B*07:02:01-C*04:01:01-DRB1*01:03:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Black 1.470668
 197  A*23:01:01-B*53:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 198  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Black 1.470668
 199  A*30:02:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Rio de Janeiro Black 1.470668
 200  A*32:01:01-B*57:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668

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 11,686) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 117  


   

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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