Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 101 to 200 (from 6,985) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 70  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*09:01:02-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00815,266
 102  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*09:01:02-DPB1*135:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00725,266
 103  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.28831,734
 104  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*10:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 105  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.05771,734
 106  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002623,595
 107  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*11:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01215,266
 108  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*11:01:01-DPB1*416:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00525,266
 109  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.039623,595
 110  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.006223,595
 111  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*11:04:01-DQB1*02:02:01  Poland BMR 0.002223,595
 112  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.026223,595
 113  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*11:04:01-DQB1*06:03:01  Poland BMR 0.002123,595
 114  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*12:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 115  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.002323,595
 116  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*12:02:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00925,266
 117  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.11541,734
 118  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 119  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.028623,595
 120  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.005323,595
 121  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.007823,595
 122  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*14:05:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00545,266
 123  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*14:54:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00775,266
 124  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01955,266
 125  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.05821,734
 126  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  India Karnataka Kannada Speaking 0.2870174
 127  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.010323,595
 128  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.020823,595
 129  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*16:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01195,266
 130  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 131  A*30:01:01-B*14:01:01-C*02:10:01-DRB1*11:01:02-DQB1*03:19:01-DPB1*01:01:01  South African Black 0.3520142
 132  A*30:01:01-B*14:02:01-C*05:01:01-DRB1*13:03:01-DQB1*02:01:01  Poland BMR 0.002123,595
 133  A*30:01:01-B*14:02:01-C*05:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 134  A*30:01:01-B*14:02:01-C*08:02:01-DRB1*10:01:01  Nicaragua Mestizo (G) 0.3226155
 135  A*30:01:01-B*14:02:01-C*08:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.006423,595
 136  A*30:01:01-B*15:01:01:01-C*03:04:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2384192
 137  A*30:01:01-B*15:01:01-C*03:03:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.02881,734
 138  A*30:01:01-B*15:01:01-C*03:03:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.002423,595
 139  A*30:01:01-B*15:01:01-C*03:04:01-DRB1*01:01:01-DQB1*02:02:01  Poland BMR 0.002323,595
 140  A*30:01:01-B*15:01:01-C*03:04:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.003223,595
 141  A*30:01:01-B*15:01:01-C*03:04:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.001623,595
 142  A*30:01:01-B*15:01:01-C*03:04:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.000201423,595
 143  A*30:01:01-B*15:01:01-C*04:198-DRB1*07:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 144  A*30:01:01-B*15:01:01-C*06:02:01-DRB1*11:03  Nicaragua Mestizo (G) 0.3226155
 145  A*30:01:01-B*15:01:01-C*07:02:01-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
 146  A*30:01:01-B*15:01:01-C*12:02:02-DRB1*04:06:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 147  A*30:01:01-B*15:02:01-C*06:02:01-DRB1*15:01:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00785,266
 148  A*30:01:01-B*15:02:01-C*07:04:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 149  A*30:01:01-B*15:02:01-C*08:01:01-DRB1*03:01:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00935,266
 150  A*30:01:01-B*15:02:01-C*08:01:01-DRB1*09:01:02-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00725,266
 151  A*30:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00855,266
 152  A*30:01:01-B*15:03:01-C*02:02:02-DRB1*13:03:01-DQB1*03:01:01-DPB1*835:01:01  South African Black 0.3520142
 153  A*30:01:01-B*15:03:01-C*02:10:01-DRB1*01:02:01-DQB1*03:19:01-DPB1*665:01  South African Black 0.3520142
 154  A*30:01:01-B*15:03:01-C*02:10-DRB1*03:01  Costa Rica African -Caribbean (G) 0.9804102
 155  A*30:01:01-B*15:03:01-C*02:10-DRB1*11:01:02  Nicaragua Mestizo (G) 0.6452155
 156  A*30:01:01-B*15:03:01-C*02:10-DRB1*13:02:01  Costa Rica African -Caribbean (G) 0.9804102
 157  A*30:01:01-B*15:03:01-C*03:05-DRB1*07:01  Costa Rica African -Caribbean (G) 0.4902102
 158  A*30:01:01-B*15:03:01-C*07:18-DRB1*11:02:01-DQB1*03:19:01-DPB1*13:01:01  South African Black 0.3520142
 159  A*30:01:01-B*15:03:01-C*17:01:01-DRB1*07:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*18:01:01  Brazil Rio de Janeiro Black 1.470668
 160  A*30:01:01-B*15:10:01-C*03:04:02-DRB1*01:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 161  A*30:01:01-B*15:10:01-C*03:04:02-DRB1*01:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 162  A*30:01:01-B*15:10:01-C*03:04:02-DRB1*13:02:01-DQB1*06:04  Russia Bashkortostan, Bashkirs 0.4167120
 163  A*30:01:01-B*15:10:01-C*03:04:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 164  A*30:01:01-B*15:10:01-C*03:04:02-DRB1*13:02:01-DQB1*06:09:01-DPB1*105:01:01  South African Black 0.3520142
 165  A*30:01:01-B*15:11:01-C*03:03:01-DRB1*08:03:02-DPB1*19:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00725,266
 166  A*30:01:01-B*15:11:01-C*03:03:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00815,266
 167  A*30:01:01-B*15:12:01-C*04:03:01-DRB1*15:02:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 168  A*30:01:01-B*15:173-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.006423,595
 169  A*30:01:01-B*15:18:01-C*07:04:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 170  A*30:01:01-B*18:01:01-C*02:02:02-DRB1*07:01:01-DQB1*03:19:01-DPB1*01:01:01  South African Black 0.3520142
 171  A*30:01:01-B*18:01:01-C*02:10:01-DRB1*13:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 172  A*30:01:01-B*18:01:01-C*03:03:01-DRB1*15:01:01-DQB1*05:02:01  Poland BMR 0.004223,595
 173  A*30:01:01-B*18:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002223,595
 174  A*30:01:01-B*18:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.001723,595
 175  A*30:01:01-B*18:01:01-C*07:01:01-DRB1*07:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 176  A*30:01:01-B*18:01:01-C*07:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 177  A*30:01:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 178  A*30:01:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 179  A*30:01:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03431,510
 180  A*30:01:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.036423,595
 181  A*30:01:01-B*18:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.005923,595
 182  A*30:01:01-B*18:01:01-C*07:04:01-DRB1*11:01:02-DQB1*06:02:01-DPB1*01:01:01  South African Black 0.3520142
 183  A*30:01:01-B*18:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002223,595
 184  A*30:01:01-B*18:01:01-C*12:03:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 185  A*30:01:01-B*18:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002223,595
 186  A*30:01:01-B*18:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 187  A*30:01:01-B*18:01:01-C*17:01:01-DRB1*03:01  Costa Rica African -Caribbean (G) 0.4902102
 188  A*30:01:01-B*27:02:01-C*02:02:02-DRB1*01:01:01-DQB1*02:02:01  Poland BMR 0.000149423,595
 189  A*30:01:01-B*27:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.000131923,595
 190  A*30:01:01-B*27:02:01-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 191  A*30:01:01-B*27:02:01-C*02:02:02-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.003223,595
 192  A*30:01:01-B*27:02:01-C*05:01:01-DRB1*07:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 193  A*30:01:01-B*27:02:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 194  A*30:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.017323,595
 195  A*30:01:01-B*27:05:02-C*01:02:01-DRB1*01:03-DQB1*05:01:01  Poland BMR 0.002123,595
 196  A*30:01:01-B*27:05:02-C*01:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.004823,595
 197  A*30:01:01-B*27:05:02-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.005623,595
 198  A*30:01:01-B*27:05:02-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.006923,595
 199  A*30:01:01-B*27:05:02-C*04:01:01  South African Mixed ancestry 1.000050
 200  A*30:01:01-B*27:05:02-C*04:01:01-DRB1*14:01:01-DQB1*05:03:01  Poland BMR 0.002123,595

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 6,985) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 70  


   

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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