Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 101 to 200 (from 828) records   Pages: 1 2 3 4 5 6 7 8 9 of 9  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.8403951
 102  A*11:01-B*44:10-DRB1*07:01-DQB1*02:01  Iran Saqqez-Baneh Kurds 0.833360
 103  A*11:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India East UCBB 0.82892,403
 104  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.82201,510
 105  A*01:01:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.8213186
 106  A*02:01-B*44:03-C*14:03-DRB1*07:01-DQB1*02:02-DPB1*14:01  Tanzania Maasai 0.7987336
 107  A*02:01:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.7812192
 108  A*01:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  USA San Diego 0.7810496
 109  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.7782521
 110  A*68:01-B*44:03-DRB1*07:01-DQB1*02:01  Chile Mapuche 0.770066
 111  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Filipino 0.743850,614
 112  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.72601,999
 113  A*01-B*44-DRB1*07:01-DQB1*02:01  Bolivia Quechua 0.720069
 114  A*24:02-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India North UCBB 0.71115,849
 115  A*33:03:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.7020356
 116  A*02:01:01-B*44:02:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 117  A*29:01:01-B*44:08-C*16:01:01-DRB1*07:01:01-DQB1*02:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 118  A*30:04-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA NMDP Caribean Indian 0.676614,339
 119  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Middle Eastern or North Coast of Africa 0.676670,890
 120  A*11:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Northeast UCBB 0.6757296
 121  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.667623,595
 122  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.63101,159
 123  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  Sri Lanka Colombo 0.6303714
 124  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6270405
 125  A*23-B*44-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 0.6240641
 126  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*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6230405
 127  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA NMDP Hawaiian or other Pacific Islander 0.610011,499
 128  A*11:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Central UCBB 0.60944,204
 129  A*33:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  Malaysia Peninsular Malay 0.6072951
 130  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.60302,411
 131  A*01:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.60292,492
 132  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 133  A*33:01:01-B*44:03:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 134  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP European Caucasian 0.58701,242,890
 135  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA NMDP Black South or Central American 0.58054,889
 136  A*01:01:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.5750174
 137  A*02:11:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.5750174
 138  A*11:01:01-B*44:03:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.5750174
 139  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02-DPB1*01:01  Panama 0.5700462
 140  A*02:01-B*44:02-DRB1*07:01-DQB1*02:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 141  A*68:01-B*44:02-DRB1*07:01-DQB1*02:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 142  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Sri Lanka Colombo 0.5602714
 143  A*01:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Indian 0.5535271
 144  A*11:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India West UCBB 0.54275,829
 145  A*33:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Chinese 0.5155194
 146  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Chinese 0.513999,672
 147  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA NMDP Hawaiian or other Pacific Islander 0.495311,499
 148  A*11:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India North UCBB 0.49105,849
 149  A*24:02:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.4910356
 150  A*24:02-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Central UCBB 0.48744,204
 151  A*02:11-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India West UCBB 0.48375,829
 152  A*30:04-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*01:01  Tanzania Maasai 0.4792336
 153  A*23:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA NMDP Caribean Indian 0.474714,339
 154  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.46881,463
 155  A*01:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India West UCBB 0.46755,829
 156  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*11:01  Germany DKMS - German donors 0.46723,456,066
 157  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Hispanic South or Central American 0.4646146,714
 158  A*68:02-B*44:03-C*16:01-E*01:03:02-F*01:01:01-G*01:01-DRB1*07:01-DQA1*01:03-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 159  A*24:02:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.4345186
 160  A*03:01-B*44:03-C*12:03-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  Nicaragua Managua 0.4329339
 161  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP North American Amerindian 0.430735,791
 162  A*02:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo pop 2 0.4274234
 163  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo pop 2 0.4274234
 164  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Middle Eastern or North Coast of Africa 0.426070,890
 165  A*01:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India East UCBB 0.42042,403
 166  A*03:01:01-B*44:02:01-C*05:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 167  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*13:01:01  Russian Federation Vologda Region 0.4202119
 168  A*23:01:01-B*44:03:01-C*07:02:01-DRB1*07:01:01-DQA1*01:02:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 169  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 170  A*02:01-B*44:02-C*05:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.41004,335
 171  A*24:02-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India West UCBB 0.40315,829
 172  A*03:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Kosovo 0.4030124
 173  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.39835,926
 174  A*02-B*44-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 0.3946641
 175  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 Caucasian 0.3891521
 176  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.38901,075
 177  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Caribean Black 0.388333,328
 178  A*24:02-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India East UCBB 0.38652,403
 179  A*02:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02-DPB1*11:01  Panama 0.3800462
 180  A*33:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Indian 0.3690271
 181  A*01:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India South UCBB 0.361911,446
 182  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA NMDP Alaska Native or Aleut 0.35911,376
 183  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP African American pop 2 0.3570416,581
 184  A*24:02:01-B*44:05:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01-DPB1*02:01:02  South African Black 0.3520142
 185  A*11:01-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  Sri Lanka Colombo 0.3501714
 186  A*01:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 187  A*02:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 188  A*29:02-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 189  A*68:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 190  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Mexican or Chicano 0.3487261,235
 191  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.3423521
 192  A*24:02-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India South UCBB 0.341211,446
 193  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA NMDP Caribean Indian 0.336014,339
 194  A*01-B*44-C*04:01-DRB1*07:01-DQB1*02  Russia Transbaikal Territory Buryats 0.3340150
 195  A*02-B*44-C*04:01-DRB1*07:01-DQB1*02  Russia Transbaikal Territory Buryats 0.3340150
 196  A*32-B*44-C*04:01-DRB1*07:01-DQB1*02  Russia Transbaikal Territory Buryats 0.3340150
 197  A*68-B*44-C*04:01-DRB1*07:01-DQB1*02  Russia Transbaikal Territory Buryats 0.3340150
 198  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:02:01  Russia Belgorod region 0.3268153
 199  A*23:01:01-B*44:03:01-C*12:03:01-DRB1*07:01:01-DQA1*01:04:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 200  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Caribean Hispanic 0.3205115,374

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 828) records   Pages: 1 2 3 4 5 6 7 8 9 of 9  


   

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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