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 4,109) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 42  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  DRB1*10:01-DQA1*01:05-DQB1*05:01  South Korea pop 5 1.6000467
 102  DRB1*10:01-DQA1*04:01-DQB1*04:02  India Northeast Mech 1.600063
 103  DRB1*10:01:01-DQB1*05:01:01  India Mumbai Maratha 1.550091
 104  A*33:03-B*15:10-DRB1*10:01  Guinea Bissau 1.500065
 105  A*66:01-B*45:01-DRB1*10:01  Guinea Bissau 1.500065
 106  A*74:01-B*35:01:01-DRB1*10:01  Guinea Bissau 1.500065
 107  DRB1*10:01-DQA1*01:01/01:04/01:05-DQB1*05:01  Russia Siberia Khanty Mansi 1.500068
 108  DRB1*10-DQA1*01:01-DQB1*05:01  Russia Mari 1.5000202
 109  A*30:02:01-B*37:01:01-C*07:01:01-DRB1*10:01:01-DQB1*06:04:01-DPA1*02:01:08-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 110  DRB1*10:01-DQB1*05:01-DPB1*01:01  Gambia pop 3 1.4245939
 111  DRB1*10:01-DQA1*01:01-DQB1*05:01  Slovenia pop 2 1.4000140
 112  DRB1*10:01-DQB1*05:01  Philippines 1.400034
 113  A*11-B*35-DRB1*10-DQB1*05  Mexico Sonora, Ciudad Obregón 1.3986143
 114  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP South Asian Indian 1.3953185,391
 115  A*11-B*40-DRB1*10  India sub-Himalayan West Bengal Kami 1.3600158
 116  A*02:02-B*51:08-DRB1*10:01  Israel Morocco Jews 1.350036,718
 117  A*03:01-B*07:02-DRB1*10:01  Azores Oriental Islands 1.300043
 118  B*37:01-DRB1*10:01-DQB1*05:01  South Korea pop 3 1.3000485
 119  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 1.2915271
 120  A*30-B*42-DRB1*10-DQB1*05  Ecuador Amazonia Mixed Ancestry 1.282139
 121  A*26:01-B*38:01-DRB1*10:01  Gaza 1.282042
 122  A*69:01-B*37:01-DRB1*10:01  Gaza 1.282042
 123  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 1.2605714
 124  DRB1*10:01-DQB1*05:01  Georgia Caucasus Tbilisi 1.2605119
 125  A*01-B*37-DRB1*10-DQB1*05  Mexico Hidalgo, Pachuca 1.219541
 126  A*03:01-B*35:01-DRB1*10:01  Sweden Southern Sami 1.2000130
 127  B*37:01-C*06:02-DRB1*10:01  South Korea pop 3 1.2000485
 128  DRB1*10:01-DQA1*01:01/01:04/01:05-DQB1*05:01  Russia Siberia Irkutsk Tofalar 1.200043
 129  DRB1*10:01-DQA1*01:04-DQB1*05:01  Cameroon Yaounde 1.200092
 130  DRB1*10:01-DQA1*01:05-DQB1*05:01  South Korea pop 1 1.2000324
 131  DRB1*10:01-DQA1*01:05-DQB1*05:01-DPB1*02:01  South Korea pop 2 1.2000207
 132  DRB1*10-DQA1*01:01-DQB1*05:01  Russia Kostroma Region 1.2000126
 133  A*24-B*45-DRB1*10-DQB1*05  Mexico Zacatecas, Zacatecas city 1.190584
 134  A*02-B*49-DRB1*10-DQB1*05  Mexico Queretaro Rural 1.162843
 135  A*29-B*44-DRB1*10-DQB1*05  Mexico San Luis Potosi Rural 1.149487
 136  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 1.1490174
 137  DRB1*10:01-DQB1*05:01  Italy pop 5 1.1400975
 138  A*02-B*41-DRB1*10-DQB1*05  Mexico Colima Rural 1.136443
 139  A*03:01-B*38:01-DRB1*10:01  Israel Bukhara Jews 1.13002,317
 140  A*11-B*53-DRB1*10-DQB1*05  Mexico Queretaro, Queretaro city 1.111145
 141  A*24-B*45-DRB1*10-DQB1*05  Mexico Queretaro, Queretaro city 1.111145
 142  A*25-B*45-DRB1*10-DQB1*05  Mexico Veracruz, Poza Rica 1.111145
 143  A*29-B*45-DRB1*10-DQB1*05  Mexico Queretaro, Queretaro city 1.111145
 144  A*34-B*14:02-DRB1*10-DQB1*05  Mexico Veracruz, Poza Rica 1.111145
 145  DRB1*10:01-DQA1*01:01-DQB1*05:01  Italy Sardinia Lanusei 1.100087
 146  DRB1*10-DQA1*01:01-DQB1*05:01  Ukraine Khmelnytskyi 1.1000138
 147  DRB1*10-DQA1*01:05-DQB1*05:01  Czech Republic pop 3 1.1000180
 148  DRB1*10-DQB1*05:01  Italy Sardinia pop2 1.10001,129
 149  DRB1*10:01-DQB1*05:01  Mexico Mexico City Mestizo pop 2 1.0700234
 150  A*31-B*58-DRB1*10-DQB1*05  Mexico Campeche Rural 1.063847
 151  A*01:01-B*41:01-DRB1*10:01  Israel Druze 1.06005,914
 152  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 153  A*01:01:01-B*37:01:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 154  A*68-B*35-C*04-DRB1*10  Myanmar Rakhine 1.042048
 155  B*37:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 156  B*37:01:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 157  A*01-B*57-DRB1*10-DQB1*05  Mexico Quintana Roo, Cancun 1.041748
 158  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Southeast Asian 1.034527,978
 159  A*01:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0310105
 160  DRB1*10:01:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 1.0220496
 161  DRB1*10:01:01-DQB1*05:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 1.0180496
 162  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  South Korea pop 3 1.0000485
 163  A*01:01-B*37:01-DRB1*10:01  South Korea pop 3 1.0000485
 164  A*01-B*37-DRB1*10  China Shaanxi Province Han 1.000010,000
 165  A*02:01:01-B*35:02-DRB1*10  Portugal South 1.000049
 166  A*23:01-B*42:01-C*17:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*17:01  Kenya, Nyanza Province, Luo tribe 1.0000100
 167  A*24:02:01-B*14:01-DRB1*10:01  Portugal South 1.000049
 168  A*68-B*35-DRB1*10  Philippines National Capital Region 1.000051
 169  DRB1*10:01-DQA1*01:04-DQB1*05:01  Greece pop3 1.0000246
 170  DRB1*10:01-DQB1*05:01  Tunisia pop 2 1.0000111
 171  A*02:02-B*58:01-DRB1*10:01  Israel YemenJews 0.998015,542
 172  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  Vietnam Kinh 0.9900101
 173  A*01-B*37-DRB1*10-DQB1*05  Mexico Mexico City South 0.961552
 174  A*03:01-B*47:01-C*06:02-DRB1*10:01  Russia Bering Island Aleuts 0.9615104
 175  A*02:01-B*35:02-C*02:10-DRB1*10:01-DQA1*01:05-DQB1*03:19  United Arab Emirates Abu Dhabi 0.960052
 176  A*01-B*45-DRB1*10-DQB1*05  Mexico Zacatecas, Fresnillo 0.9524103
 177  A*11:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.9490356
 178  A*29-B*07-DRB1*10  India sub-Himalayan West Bengal Kami 0.9400158
 179  A*33-B*44-C*07-DRB1*10  Myanmar Shan 0.926054
 180  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Korean 0.923177,584
 181  A*02-B*15:09-DRB1*10-DQB1*05  Mexico Guanajuato Rural 0.9202162
 182  A*30-B*45-DRB1*10-DQB1*05  Mexico Guanajuato Rural 0.9202162
 183  A*03:02-B*38:01-DRB1*10:01  Israel Bukhara Jews 0.89802,317
 184  A*01:01-B*35:01-DRB1*10:01-DQB1*06:02  Iran Yazd 0.892956
 185  A*01:01-B*37:01-DRB1*10:01-DQB1*02:01  Iran Yazd 0.892956
 186  A*02:01-B*37:01-DRB1*10:01-DQB1*05:01  Iran Yazd 0.892956
 187  A*02-B*40:01-DRB1*10-DQB1*05  Mexico Veracruz, Cordoba 0.892956
 188  A*03:01-B*51:01-DRB1*10:01-DQB1*05:01  Iran Yazd 0.892956
 189  A*23-B*15:03-DRB1*10-DQB1*05  Mexico Veracruz, Cordoba 0.892956
 190  A*24:07-B*35:01-DRB1*10:01-DQB1*05:03  Iran Yazd 0.892956
 191  A*68-B*51-DRB1*10-DQA1*01:01-DQB1*05:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.8900112
 192  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.88901,772
 193  A*02:17-B*41:01-DRB1*10:01  Israel Iraq Jews 0.879013,270
 194  B*07-DRB1*10  Macedonia 0.8741286
 195  A*24-B*45-DRB1*10-DQB1*05  Mexico Veracruz, Veracruz city 0.8721171
 196  A*29:01:01-B*07:05:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.8620174
 197  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.8620174
 198  A*30-B*35-DRB1*10-DQB1*05  Mexico Chihuahua Chihuahua City 0.8403119
 199  A*30-B*45-DRB1*10-DQB1*05  Mexico Chihuahua Chihuahua City 0.8403119
 200  A*02:01-B*51:01-DRB1*10:01-DQB1*06:03  Iran Saqqez-Baneh Kurds 0.833360

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 4,109) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 42  


   

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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