Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 101 to 200 (from 573) records   Pages: 1 2 3 4 5 6 of 6  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*74:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 102  A*02:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP North American Amerindian 0.588035,791
 103  A*24:02:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Karnataka Kannada Speaking 0.5750174
 104  A*02:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.55551,510
 105  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.55304,856
 106  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 107  A*32:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.5208192
 108  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.51684,204
 109  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.50901,159
 110  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.502623,595
 111  A*30:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 112  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Germany DKMS - German donors 0.48783,456,066
 113  A*68:01:02-B*08:01-DRB1*03:01-DQB1*02:01  Peru Titikaka Lake Uros 0.4800105
 114  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.45243,456,066
 115  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.44401,772
 116  A*03:01-B*08:01-C*05:01-E*01:01:01-F*01:01:02-G*01:03-DRB1*03:01-DQA1*05:01-DQB1*02:01  Portugal Azores Terceira Island 0.4386130
 117  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.43835,829
 118  A*24:07-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.432511,446
 119  B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo pop 2 0.4300234
 120  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 121  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*23:01:01  Russian Federation Vologda Region 0.4202119
 122  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*01:01:01  Russian Federation Vologda Region 0.4202119
 123  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*01:01  Russian Federation Vologda Region 0.4202119
 124  A*01:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 125  A*68:01:02-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*04:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 126  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 127  A*11:01:01-B*08:01:01-C*03:03:01-DRB1*03:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 128  A*33:03:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Russia Bashkortostan, Bashkirs 0.4167120
 129  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.41153,456,066
 130  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 0.4030124
 131  A*32:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 0.4030124
 132  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 133  A*01:01-B*08:01-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Panama 0.3800462
 134  A*11:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.37065,849
 135  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Italy pop 5 0.3700975
 136  A*11:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Indian 0.3690271
 137  A*02:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Middle Eastern or North Coast of Africa 0.361970,890
 138  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.35055,849
 139  A*68:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.3497143
 140  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Northeast UCBB 0.3378296
 141  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Puyanawa 0.3333150
 142  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.330928,927
 143  A*26:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*01:02:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01  Russia Belgorod region 0.3268153
 144  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.32274,204
 145  A*02:05-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*105:01  Tanzania Maasai 0.3195336
 146  A*02:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Mexican or Chicano 0.3134261,235
 147  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.31302,403
 148  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 149  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 150  A*24:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 151  A*68:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 152  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.30965,829
 153  A*36-B*08:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.3030330
 154  A*03:01-B*08:01-C*06:02-DRB1*03:01-DQA1*04:01-DQB1*02:01-DPB1*02:01  South Africa Worcester 0.3000159
 155  A*30:02-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  South Africa Worcester 0.3000159
 156  A*03:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.290523,595
 157  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.28861,075
 158  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Karnataka Kannada Speaking 0.2870174
 159  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.28301,999
 160  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.26685,926
 161  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.26204,856
 162  A*30:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.26202,411
 163  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Filipino 0.260750,614
 164  A*02:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 165  A*03:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 166  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  USA San Diego 0.2600496
 167  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  USA San Diego 0.2600496
 168  A*30:02-B*08:01-C*07:01-DRB1*03:01-DQA1*03:01-DQB1*02:01-DPB1*03:01  USA San Diego 0.2600496
 169  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Chinese 0.2577194
 170  A*03:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.25204,856
 171  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Japanese 0.245224,582
 172  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.238711,446
 173  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Russia Karelia 0.23601,075
 174  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.233228,927
 175  A*29:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 176  A*32:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 177  A*24:02:01-B*08:01:01-C*07:02:01-DRB1*03:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 178  A*02:06-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.22465,849
 179  A*02:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Hispanic South or Central American 0.2238146,714
 180  A*68:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.22201,772
 181  A*30:02-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  Nicaragua Managua 0.2165339
 182  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.21115,926
 183  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.20504,335
 184  A*11:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.20504,856
 185  A*03:01-B*08:01-C*07:01-DRB1*03:01:01-DQB1*02:01  England North West 0.2000298
 186  A*11:01-B*08:01-C*07:01-DRB1*03:01:01-DQB1*02:01  England North West 0.2000298
 187  A*11:01-B*08:01-C*07:02-DRB1*03:01:01-DQB1*02:01  England North West 0.2000298
 188  A*68:01-B*08:01-C*07:01-DRB1*03:01:01-DQB1*02:01  England North West 0.2000298
 189  A*11:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP Alaska Native or Aleut 0.19751,376
 190  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.19563,456,066
 191  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP Black South or Central American 0.19554,889
 192  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*16:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 193  A*03:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*16:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 194  A*68:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 195  A*02:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.192528,927
 196  A*01:01-B*08:01-C*01:02-DRB1*03:01-DQB1*02:01-DPB1*01:01  Panama 0.1900462
 197  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Panama 0.1900462
 198  A*24:02-B*08:01-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Panama 0.1900462
 199  A*33:01-B*08:01-C*08:02-DRB1*03:01-DQB1*02:01-DPB1*04:01  Panama 0.1900462
 200  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.18803,456,066

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 573) 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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