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 5,074) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 51  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  DRB1*10:01-DQA1*01:01-DQB1*05:01  Italy Sardinia Sorgono 1.600093
 102  DRB1*10:01-DQA1*01:05-DQB1*05:01  South Korea pop 5 1.6000467
 103  DRB1*10:01-DQA1*04:01-DQB1*04:02  India Northeast Mech 1.600063
 104  DRB1*10:01:01-DQB1*05:01:01  India Mumbai Maratha 1.550091
 105  A*33:03-B*15:10-DRB1*10:01  Guinea Bissau 1.500065
 106  A*66:01-B*45:01-DRB1*10:01  Guinea Bissau 1.500065
 107  A*74:01-B*35:01:01-DRB1*10:01  Guinea Bissau 1.500065
 108  DRB1*10:01-DQA1*01:01/01:04/01:05-DQB1*05:01  Russia Siberia Khanty Mansi 1.500068
 109  DRB1*10-DQA1*01:01-DQB1*05:01  Russia Mari 1.5000202
 110  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
 111  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India West UCBB 1.43205,829
 112  DRB1*10:01-DQB1*05:01-DPB1*01:01  Gambia pop 3 1.4245939
 113  DRB1*10:01-DQA1*01:01-DQB1*05:01  Slovenia pop 2 1.4000140
 114  DRB1*10:01-DQB1*05:01  Philippines 1.400034
 115  A*11-B*35-DRB1*10-DQB1*05  Mexico Sonora, Ciudad Obregón 1.3986143
 116  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
 117  A*11-B*40-DRB1*10  India sub-Himalayan West Bengal Kami 1.3600158
 118  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Northeast UCBB 1.3514296
 119  A*02:02-B*51:08-DRB1*10:01  Israel Morocco Jews 1.350036,718
 120  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India East UCBB 1.34252,403
 121  A*03:01-B*07:02-DRB1*10:01  Azores Oriental Islands 1.300043
 122  B*37:01-DRB1*10:01-DQB1*05:01  South Korea pop 3 1.3000485
 123  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 1.2915271
 124  A*30-B*42-DRB1*10-DQB1*05  Ecuador Amazonia Mixed Ancestry 1.282139
 125  A*26:01-B*38:01-DRB1*10:01  Gaza 1.282042
 126  A*69:01-B*37:01-DRB1*10:01  Gaza 1.282042
 127  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Central UCBB 1.27444,204
 128  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
 129  DRB1*10:01-DQB1*05:01  Georgia Caucasus Tbilisi 1.2605119
 130  A*01-B*37-DRB1*10-DQB1*05  Mexico Hidalgo, Pachuca 1.219541
 131  A*03:01-B*35:01-DRB1*10:01  Sweden Southern Sami 1.2000130
 132  B*37:01-C*06:02-DRB1*10:01  South Korea pop 3 1.2000485
 133  DRB1*10:01-DQA1*01:01/01:04/01:05-DQB1*05:01  Russia Siberia Irkutsk Tofalar 1.200043
 134  DRB1*10:01-DQA1*01:04-DQB1*05:01  Cameroon Yaounde 1.200092
 135  DRB1*10:01-DQA1*01:05-DQB1*05:01  South Korea pop 1 1.2000324
 136  DRB1*10:01-DQA1*01:05-DQB1*05:01-DPB1*02:01  South Korea pop 2 1.2000207
 137  DRB1*10-DQA1*01:01-DQB1*05:01  Russia Kostroma Region 1.2000126
 138  A*24-B*45-DRB1*10-DQB1*05  Mexico Zacatecas, Zacatecas city 1.190584
 139  A*02-B*49-DRB1*10-DQB1*05  Mexico Queretaro Rural 1.162843
 140  A*29-B*44-DRB1*10-DQB1*05  Mexico San Luis Potosi Rural 1.149487
 141  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
 142  DRB1*10:01-DQB1*05:01  Italy pop 5 1.1400975
 143  A*02-B*41-DRB1*10-DQB1*05  Mexico Colima Rural 1.136443
 144  A*03:01-B*38:01-DRB1*10:01  Israel Bukhara Jews 1.13002,317
 145  A*11-B*53-DRB1*10-DQB1*05  Mexico Queretaro, Queretaro city 1.111145
 146  A*24-B*45-DRB1*10-DQB1*05  Mexico Queretaro, Queretaro city 1.111145
 147  A*25-B*45-DRB1*10-DQB1*05  Mexico Veracruz, Poza Rica 1.111145
 148  A*29-B*45-DRB1*10-DQB1*05  Mexico Queretaro, Queretaro city 1.111145
 149  A*34-B*14:02-DRB1*10-DQB1*05  Mexico Veracruz, Poza Rica 1.111145
 150  DRB1*10:01-DQA1*01:01-DQB1*05:01  Italy Sardinia Lanusei 1.100087
 151  DRB1*10-DQA1*01:01-DQB1*05:01  Ukraine Khmelnytskyi 1.1000138
 152  DRB1*10-DQA1*01:05-DQB1*05:01  Czech Republic pop 3 1.1000180
 153  DRB1*10-DQB1*05:01  Italy Sardinia pop2 1.10001,129
 154  DRB1*10:01-DQB1*05:01  Mexico Mexico City Mestizo pop 2 1.0700234
 155  A*31-B*58-DRB1*10-DQB1*05  Mexico Campeche Rural 1.063847
 156  A*01:01-B*41:01-DRB1*10:01  Israel Druze 1.06005,914
 157  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India North UCBB 1.04995,849
 158  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 159  A*01:01:01-B*37:01:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 160  A*68-B*35-C*04-DRB1*10  Myanmar Rakhine 1.042048
 161  B*37:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 162  B*37:01:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 163  A*01-B*57-DRB1*10-DQB1*05  Mexico Quintana Roo, Cancun 1.041748
 164  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Southeast Asian 1.034527,978
 165  A*01:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0310105
 166  DRB1*10:01:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 1.0220496
 167  DRB1*10:01:01-DQB1*05:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 1.0180496
 168  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  South Korea pop 3 1.0000485
 169  A*01:01-B*37:01-DRB1*10:01  South Korea pop 3 1.0000485
 170  A*01-B*37-DRB1*10  China Shaanxi Province Han 1.000010,000
 171  A*02:01:01-B*35:02-DRB1*10  Portugal South 1.000049
 172  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
 173  A*24:02:01-B*14:01-DRB1*10:01  Portugal South 1.000049
 174  A*68-B*35-DRB1*10  Philippines National Capital Region 1.000051
 175  DRB1*10:01-DQA1*01:04-DQB1*05:01  Greece pop3 1.0000246
 176  DRB1*10:01-DQB1*05:01  Tunisia pop 2 1.0000111
 177  A*02:02-B*58:01-DRB1*10:01  Israel YemenJews 0.998015,542
 178  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  Vietnam Kinh 0.9900101
 179  A*01-B*37-DRB1*10-DQB1*05  Mexico Mexico City South 0.961552
 180  A*03:01-B*47:01-C*06:02-DRB1*10:01  Russia Bering Island Aleuts 0.9615104
 181  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
 182  A*01-B*45-DRB1*10-DQB1*05  Mexico Zacatecas, Fresnillo 0.9524103
 183  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
 184  A*29-B*07-DRB1*10  India sub-Himalayan West Bengal Kami 0.9400158
 185  A*33-B*44-C*07-DRB1*10  Myanmar Shan 0.926054
 186  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Korean 0.923177,584
 187  A*02-B*15:09-DRB1*10-DQB1*05  Mexico Guanajuato Rural 0.9202162
 188  A*30-B*45-DRB1*10-DQB1*05  Mexico Guanajuato Rural 0.9202162
 189  A*03:02-B*38:01-DRB1*10:01  Israel Bukhara Jews 0.89802,317
 190  A*01:01-B*35:01-DRB1*10:01-DQB1*06:02  Iran Yazd 0.892956
 191  A*01:01-B*37:01-DRB1*10:01-DQB1*02:01  Iran Yazd 0.892956
 192  A*02:01-B*37:01-DRB1*10:01-DQB1*05:01  Iran Yazd 0.892956
 193  A*02-B*40:01-DRB1*10-DQB1*05  Mexico Veracruz, Cordoba 0.892956
 194  A*03:01-B*51:01-DRB1*10:01-DQB1*05:01  Iran Yazd 0.892956
 195  A*23-B*15:03-DRB1*10-DQB1*05  Mexico Veracruz, Cordoba 0.892956
 196  A*24:07-B*35:01-DRB1*10:01-DQB1*05:03  Iran Yazd 0.892956
 197  A*68-B*51-DRB1*10-DQA1*01:01-DQB1*05:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.8900112
 198  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.88901,772
 199  A*02:17-B*41:01-DRB1*10:01  Israel Iraq Jews 0.879013,270
 200  B*07-DRB1*10  Macedonia 0.8741286

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 5,074) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 51  


   

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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