Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 101 to 200 (from 550) records   Pages: 1 2 3 4 5 6 of 6  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02  Brazil Puyanawa 0.6667150
 102  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.6536153
 103  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP African American pop 2 0.6359416,581
 104  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 105  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Middle Eastern or North Coast of Africa 0.623470,890
 106  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*03:01  South Africa Worcester 0.6000159
 107  A*02:01-B*07:02-DRB1*15:01-DQB1*06:02  Mexico Veracruz Xalapa 0.595284
 108  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*02:02:02-DPB1*10:01:01  Brazil Rio de Janeiro Parda 0.5882170
 109  A*24:02-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP North American Amerindian 0.586035,791
 110  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Mexican or Chicano 0.5844261,235
 111  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Italy pop 5 0.5800975
 112  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Hispanic South or Central American 0.5800146,714
 113  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.57904,856
 114  A*02:01-B*07:02-DRB1*15:01-DQB1*06:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 115  A*26:01-B*07:02-DRB1*15:01-DQB1*06:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 116  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP American Indian South or Central America 0.56775,926
 117  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.54704,335
 118  A*03:01:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02  Russia Bashkortostan, Bashkirs 0.5387120
 119  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  USA San Diego 0.5210496
 120  A*01:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 0.5208192
 121  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.52031,463
 122  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP Alaska Native or Aleut 0.51671,376
 123  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.50633,456,066
 124  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*02:01  Russia Karelia 0.49201,075
 125  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP Alaska Native or Aleut 0.48421,376
 126  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.47904,335
 127  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Caribean Hispanic 0.4737115,374
 128  A*29:02:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.4700215
 129  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.46251,075
 130  A*03:01-B*07:02-C*07:02-E*01:01:01-F*01:03:01-G*01:01-DRB1*15:01-DQA1*01:01-DQB1*06:02  Portugal Azores Terceira Island 0.4386130
 131  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*03:01  Nicaragua Managua 0.4329339
 132  A*30:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  Nicaragua Managua 0.4329339
 133  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:02  Russia Karelia 0.43261,075
 134  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*02:01:02-DPB1*01:01:01  Russian Federation Vologda Region 0.4202119
 135  A*01:134-B*07:02:01-C*04:01:01-DRB1*15:01:01-DQA1*02:01:01-DQB1*06:02:01-DPA1*02:01:01-DPB1*14:01  Russian Federation Vologda Region 0.4202119
 136  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQA1*05:05:01-DQB1*06:02-DPA1*01:03:01-DPB1*23:01:01  Russian Federation Vologda Region 0.4202119
 137  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 138  A*25:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*23:01:01  Russian Federation Vologda Region 0.4202119
 139  A*26:01:01-B*07:02:01-C*03:03:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 140  A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01:03-DQB1*06:02:01  Russia Bashkortostan, Bashkirs 0.4167120
 141  A*02:06:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02  Russia Bashkortostan, Bashkirs 0.4167120
 142  A*30:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01:03-DQB1*06:02:01  Russia Bashkortostan, Bashkirs 0.4167120
 143  A*03:01-B*07:02-C*02:02-DRB1*15:01-DQA1*01:02-DQB1*06:02  Kosovo 0.4030124
 144  A*24:02-B*07:02-C*03:04-DRB1*15:01-DQA1*01:02-DQB1*06:02  Kosovo 0.4030124
 145  A*24-B*07-DRB1*15:01-DQA1*01:02-DQB1*06:02  Brazil Paraná Caucasian 0.3900641
 146  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 147  A*24:02-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Hispanic South or Central American 0.3856146,714
 148  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Caribean Black 0.382833,328
 149  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP Black South or Central American 0.38154,889
 150  A*26:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Panama 0.3800462
 151  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP Caribean Indian 0.369114,339
 152  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.36001,463
 153  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP African American pop 2 0.3540416,581
 154  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP African 0.353828,557
 155  A*01:01:01-B*07:06:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*04:01:01  South African Black 0.3520142
 156  A*02:05:01-B*07:02:01-C*02:10:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*105:01:01  South African Black 0.3520142
 157  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  Sri Lanka Colombo 0.3501714
 158  A*30:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo population 0.3497143
 159  A*31:01-B*07:02-C*07:01-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo population 0.3497143
 160  B*07:02-C*07:01-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo population 0.3497143
 161  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP Hawaiian or other Pacific Islander 0.343111,499
 162  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.33901,159
 163  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Northeast UCBB 0.3378296
 164  A*11:01-B*07:02-C*07:01-DRB1*15:01-DQA1*01:02-DQB1*06:02  Brazil Puyanawa 0.3333150
 165  A*03:01:01-B*07:370-C*07:02:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 166  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQA1*05:05:01-DQB1*06:02-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 0.3268153
 167  A*68:01:01-B*07:02:01-C*04:01:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 168  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.32193,456,066
 169  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.32104,856
 170  A*11-B*07-DRB1*15:01-DQA1*01:02-DQB1*06:02  Brazil Paraná Caucasian 0.3187641
 171  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.31604,856
 172  A*24:02-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Middle Eastern or North Coast of Africa 0.315170,890
 173  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 174  A*03:01:01-B*07:02:01-C*07:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 175  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.31022,492
 176  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.30921,075
 177  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA African American pop 4 0.30502,411
 178  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Italy pop 5 0.3000975
 179  A*02:01-B*07:02-C*07:04-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*16:01  South Africa Worcester 0.3000159
 180  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.294423,595
 181  A*33:03:01-B*07:05:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  India Karnataka Kannada Speaking 0.2870174
 182  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.2810356
 183  A*24:02-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Caribean Hispanic 0.2759115,374
 184  A*24:02-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Mexican or Chicano 0.2724261,235
 185  A*26:01:01-B*07:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 186  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA African American pop 4 0.26202,411
 187  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*09:01  USA San Diego 0.2600496
 188  A*29:02-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  USA San Diego 0.2600496
 189  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.2520356
 190  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.248923,595
 191  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*03:01  Germany DKMS - German donors 0.24663,456,066
 192  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Caribean Black 0.241733,328
 193  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.24001,999
 194  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.23404,204
 195  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 196  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 197  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 198  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*10:01  Mexico Chiapas Lacandon Mayans 0.2294218
 199  A*26:01:01-B*07:02:01-C*04:01:01-DRB1*15:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 0.2262221
 200  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*02:01  Germany DKMS - German donors 0.22593,456,066

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 550) records   Pages: 1 2 3 4 5 6 of 6  


   

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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