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 : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 101 to 200 (from 8,701) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 88  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  B*58:01-DRB1*03:01:01  Taiwan Thao 5.000030
 102  DRB1*03:01-DRB3*01:01-DQB1*02:01  Macedonia pop 2 5.000080
 103  DRB1*03:01-DQB1*02:01  Italy pop 5 4.9800975
 104  A*01:01-B*08:01-C*07:01-DRB1*03:01  USA Italy Ancestry 4.9380273
 105  A*01-B*08-DRB1*03:01-DQB1*02  Macedonia pop 3 4.9000172
 106  B*58:01-DRB1*03:01:01  Taiwan Minnan pop 1 4.9000102
 107  DRB1*03:01-DQA1*05:01-DQB1*02:01  India Northeast Kayastha 4.9000190
 108  DRB1*03:01-DQB1*02:02  Cretan Islanders 4.8317124
 109  DRB1*03:01-DQA1*05:01-DQB1*02:01  India Uttar Pradesh 4.8000202
 110  A*01:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Croatia minority 4.76202,057
 111  A*24-B*35-DRB1*03:01-DQB1*02  Mexico Queretaro Rural 4.651243
 112  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Italy pop 5 4.6500975
 113  DRB1*03:01:01-DQB1*02:01:01  India Mumbai Maratha 4.650091
 114  A*33:03-B*58:01-C*03:02-DRB1*03:01  Hong Kong Chinese BMDR 4.64297,595
 115  A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Chinese 4.600599,672
 116  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP North American Amerindian 4.576235,791
 117  A*02-B*08-DRB1*03:01-DQB1*02  Mexico Guanajuato, Guanajuato city 4.545522
 118  A*24-B*35-DRB1*03:01-DQB1*02  Mexico Colima Rural 4.545543
 119  DRB1*03:01-DQA1*05:01-DQB1*02:01  India Northeast Mathur 4.5000155
 120  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  China Canton Han 4.5000264
 121  DRB1*03:01-DQB1*02:01  Malaysia 4.500074
 122  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  Vietnam Kinh 4.4550101
 123  A*30-B*18-DRB1*03:01-DQB1*02  Mexico Mexico City West 4.411833
 124  A*33:03-B*58:01-C*03:02-DRB1*03:01  China Southwest Dai 4.4000124
 125  A*33:03-B*58:01-DRB1*03:01  China Southwest Dai 4.4000124
 126  B*58:01-C*03:02-DRB1*03:01  China Southwest Dai 4.4000124
 127  DRB1*03:01-DQA1*05-DQB1*02:01  Israel Non Ashkenazi Jews 4.400080
 128  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP American Indian South or Central America 4.34585,926
 129  A*24-B*08-DRB1*03:01-DQB1*02:01  Tunisia Ghannouch 4.300082
 130  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 4.26801,510
 131  A*01:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - France minority 4.26301,406
 132  A*33:03-B*58:01-DRB1*03:01  Hong Kong Chinese cord blood registry 4.20043,892
 133  A*01:01-B*08:01-DRB1*03:01  Sweden Northern Sami 4.2000154
 134  A*01:01-B*08:01-DRB1*03:01  Croatia pop 4 4.15004,000
 135  A*33:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Chinese 4.1237194
 136  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP Alaska Native or Aleut 4.10001,376
 137  A*02:01:01-B*18:01:01-DRB1*03:01:01  Portugal South 4.100049
 138  A*30:02-B*18:01:01-DRB1*03:01:01  Portugal South 4.100049
 139  DRB1*03:01-DQA1*05:01-DQB1*02:01  Mexico Highlands Mestizos 4.1000160
 140  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  China Zhejiang Han 4.01521,734
 141  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Poland 4.0000200
 142  A*01-B*08-DRB1*03:01-DQB1*02  Spain Arratia Valley Basque 4.000083
 143  A*03:01:01-B*58:02-DRB1*03:01:01  Cape Verde Northwestern Islands 4.000062
 144  DRB1*03:01-DQA1*05:01/05:03/05:05-DQB1*02:01/02:02  Russia Siberia Kushun Buryat 4.000025
 145  DRB1*03:01-DQA1*05:01-DQB1*02:02  Tunisia 4.0000100
 146  DRB1*03:01-DQB1*02:01  Vietnam Hanoi Kinh 4.0000103
 147  A*30:02-B*53:01-DRB1*03:01  Israel Iran Jews 3.92008,153
 148  A*01:01-B*08:01-DRB1*03:01  Sweden Southern Sami 3.9000130
 149  A*33:03-B*58:01-C*03:02-DRB1*03:01  Taiwan pop 2 3.9000364
 150  B*08-DRB1*03:01  Greece North 3.9000500
 151  B*58:01-DRB1*03:01:01  Taiwan Siraya 3.900051
 152  DRB1*03:01-DRB3*01:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  USA San Francisco Caucasian 3.9000220
 153  DRB1*03:01-DRB3*01:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  USA San Francisco Caucasian 3.9000220
 154  A*68:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  United Arab Emirates Abu Dhabi 3.850052
 155  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 3.8462143
 156  A*01:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Portugal minority 3.84301,176
 157  A*01:01-B*08:01-C*07:01-DRB1*03:01  Italy pop 5 3.8300975
 158  DRB1*03:01-DQA1*05:01-DQB1*02:01  India Northeast Rastogi 3.8000196
 159  DRB1*03:01-DQA1*05:01-DQB1*02:01  Mexico Nuevo Leon Mestizo 3.800040
 160  A*24:02-B*15:13-DRB1*03:01  Malaysia Mandailing 3.703727
 161  A*33:03-B*58:01-DRB1*03:01  China Guangxi Region Maonan 3.7000108
 162  A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Vietnamese 3.668143,540
 163  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 3.6055833
 164  B*58:01-DRB1*03:01:01  Taiwan Pazeh 3.600055
 165  DRB1*03:01:01-DQB1*02:01/02:02  China Shandong Province Han 3.600098
 166  A*01-B*51-DRB1*03:01-DQB1*02:01  Colombia San Basilio de Palenque 3.571042
 167  A*30-B*18-DRB1*03:01-DRB3*02:02-DQA1*05:01-DQB1*02:01  Spain Murcia 3.5000173
 168  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Vietnam Hanoi Kinh pop 2 3.5000170
 169  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 3.4900215
 170  A*33:03-B*58:01-DRB1*03:01  Malaysia Champa 3.448329
 171  DRB1*03:01-DQA1*05:02-DQB1*02:01  Mongolia Tarialan Khoton 3.400085
 172  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 3.3854192
 173  A*01:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Spain minority 3.34701,107
 174  A*01-B*08-DRB1*03:01-DQB1*02  Mexico San Luis Potosi, San Luis Potosi city 3.333330
 175  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Puyanawa 3.3333150
 176  A*11-B*08-DRB1*03:01-DQB1*02  Mexico San Luis Potosi, San Luis Potosi city 3.333330
 177  A*24-B*18-DRB1*03:01-DQB1*02  Mexico Jalisco, Tlajomulco 3.333330
 178  A*30-B*18-DRB1*03:01-DQB1*02  Mexico Morelos Rural 3.333330
 179  A*02-B*44-DRB1*03:01-DQB1*02  Spain Arratia Valley Basque 3.300083
 180  DRB1*03:01-DQA1*05:01-DQB1*02:01  India Northeast Vaish 3.3000198
 181  DRB1*03:01-DQA1*05:01-DQB1*02:01  India Northeast Shia 3.3000190
 182  DRB1*03:01-DQA1*05:01-DQB1*02:01  India Northeast Sunni 3.3000188
 183  A*01-B*08-DRB1*03:01-DQB1*02  Cuba Mixed 3.200078
 184  DRB1*03:01-DQA1*05:01-DQB1*02:01  Canada British Columbia Athabaskan 3.200062
 185  DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo pop 2 3.2000234
 186  A*30-B*18-DRB1*03:01-DQB1*02  Mexico Nayarit Rural 3.125064
 187  A*02:01-B*15:03-DRB1*03:01  Sao Tome Island Angolar 3.100032
 188  A*02:01-B*27:05-DRB1*03:01  Sweden Northern Sami 3.1000154
 189  A*29:01-B*08:01-DRB1*03:01-DQB1*02:01  Chile Mapuche 3.080066
 190  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Tlaxcala, Tlaxcala city 3.0387181
 191  A*01:01:01-B*08:01-DRB1*03:01:01  Portugal Center 3.000050
 192  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Tunisia 3.0000100
 193  A*33:03-B*58:01-C*03:02-DRB1*03:01  China Yunnan Province Han 3.0000101
 194  DRB1*03:01-DQA1*05:01:01-DQB1*02:01  South Korea pop 5 3.0000467
 195  DRB1*03:01-DQA1*05:01-DPA1*01:03-DPB1*04:01  Spain Gipuzkoa Basque 3.0000100
 196  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 2.96901,159
 197  A*01-B*41-DRB1*03:01-DQB1*02  Mexico Campeche, Campeche city 2.941234
 198  A*02-B*18-DRB1*03:01-DQB1*02  Mexico Chihuahua Chihuahua City 2.9412119
 199  A*29-B*44-DRB1*03:01-DQB1*02  Mexico Campeche, Campeche city 2.941234
 200  B*08:01-DRB1*03:01  Italy pop 5 2.9300975

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 8,701) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 88  


   

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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