Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 7,533) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 76  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.061323,595
 102  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:03:01  Poland BMR 0.000809823,595
 103  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.005923,595
 104  A*31:01:02-B*07:02:01-C*17:01:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 105  A*31:01:02-B*07:02:01-DRB1*15:01:01  Portugal North 1.100046
 106  A*31:01:02-B*07:02:03-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004223,595
 107  A*31:01:02-B*07:05:01-C*15:05:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.004223,595
 108  A*31:01:02-B*08:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.004223,595
 109  A*31:01:02-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.043523,595
 110  A*31:01:02-B*08:01:01-C*07:01:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.010023,595
 111  A*31:01:02-B*08:01:01-C*07:01:01-DRB1*15:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 112  A*31:01:02-B*08:01:01-C*07:01:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002623,595
 113  A*31:01:02-B*13:01:01-C*03:03:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 114  A*31:01:02-B*13:01:01-C*03:04:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 115  A*31:01:02-B*13:01:01-C*03:04:01-DRB1*14:07:01-DQB1*05:03:01  China Zhejiang Han 0.05771,734
 116  A*31:01:02-B*13:01:01-C*03:04:01-DRB1*15:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.02745,266
 117  A*31:01:02-B*13:01:01-C*04:03:01-DRB1*13:02:01-DQB1*06:05:01  India Karnataka Kannada Speaking 0.2870174
 118  A*31:01:02-B*13:01:01-C*04:03:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 119  A*31:01:02-B*13:01:01-C*04:03:01-DRB1*15:02:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 120  A*31:01:02-B*13:02:01-C*01:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.007923,595
 121  A*31:01:02-B*13:02:01-C*02:02:02-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002123,595
 122  A*31:01:02-B*13:02:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002023,595
 123  A*31:01:02-B*13:02:01-C*06:02:01-DRB1*03:01:01-DQB1*02:02:01  Poland BMR 0.000788323,595
 124  A*31:01:02-B*13:02:01-C*06:02:01-DRB1*04:04:01-DQB1*02:02:01  Poland BMR 0.002123,595
 125  A*31:01:02-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00915,266
 126  A*31:01:02-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.11531,734
 127  A*31:01:02-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 128  A*31:01:02-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.023923,595
 129  A*31:01:02-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 130  A*31:01:02-B*13:02:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002623,595
 131  A*31:01:02-B*13:02:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 132  A*31:01:02-B*13:02:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002623,595
 133  A*31:01:02-B*13:02:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Parda 0.5882170
 134  A*31:01:02-B*13:02:01-C*06:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.004023,595
 135  A*31:01:02-B*14:02:01-C*04:01:01-DRB1*04:05:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 136  A*31:01:02-B*14:02:01-C*04:01:01-DRB1*11:02:01-DQB1*03:19:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 137  A*31:01:02-B*14:02:01-C*08:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 138  A*31:01:02-B*14:02:01-C*08:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*16:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 139  A*31:01:02-B*14:02:01-C*08:02:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.001723,595
 140  A*31:01:02-B*15:01:01-C*01:02:01  England Blood Donors of Mixed Ethnicity 0.0963519
 141  A*31:01:02-B*15:01:01-C*01:02:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.002123,595
 142  A*31:01:02-B*15:01:01-C*01:02:01-DRB1*04:07  Costa Rica Amerindians (G) 0.4032125
 143  A*31:01:02-B*15:01:01-C*01:02:01-DRB1*04:07-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.2262221
 144  A*31:01:02-B*15:01:01-C*01:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.004223,595
 145  A*31:01:02-B*15:01:01-C*01:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.001823,595
 146  A*31:01:02-B*15:01:01-C*01:02:01-DRB1*08:02:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 147  A*31:01:02-B*15:01:01-C*01:02:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002123,595
 148  A*31:01:02-B*15:01:01-C*01:02:01-DRB1*16:02:01-DQB1*05:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 149  A*31:01:02-B*15:01:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.004323,595
 150  A*31:01:02-B*15:01:01-C*03:03:01  England Blood Donors of Mixed Ethnicity 0.1888519
 151  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*01:01:01-DQB1*02:02:01  Poland BMR 0.000249023,595
 152  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*01:01:01-DQB1*03:02:01  Poland BMR 0.002223,595
 153  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*01:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 154  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.035423,595
 155  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*01:01:01-DQB1*06:02:01  Poland BMR 0.003823,595
 156  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*01:01:01-DQB1*06:03:01  Poland BMR 0.002623,595
 157  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.004323,595
 158  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:01:01  China Zhejiang Han 0.05771,734
 159  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.022823,595
 160  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 161  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*04:04:01-DQA1*01:05:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 162  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.001923,595
 163  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.006823,595
 164  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*08:03:02-DQB1*03:01:01  Poland BMR 0.002123,595
 165  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.002123,595
 166  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*11:01:01-DQB1*06:04:01  Poland BMR 0.002123,595
 167  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*11:03:01-DQB1*02:01:01  Poland BMR 0.002123,595
 168  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.004023,595
 169  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*12:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00665,266
 170  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 171  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.026623,595
 172  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 173  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002623,595
 174  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002523,595
 175  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*15:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.03215,266
 176  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01495,266
 177  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*03:03:02  China Zhejiang Han 0.05771,734
 178  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 179  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*05:03:01  Poland BMR 0.006423,595
 180  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.05771,734
 181  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004923,595
 182  A*31:01:02-B*15:01:01-C*03:04:01  England Blood Donors of Mixed Ethnicity 0.0963519
 183  A*31:01:02-B*15:01:01-C*03:04:01-DRB1*01:01:01-DQB1*03:01:01  Poland BMR 0.001623,595
 184  A*31:01:02-B*15:01:01-C*03:04:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002223,595
 185  A*31:01:02-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.002023,595
 186  A*31:01:02-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.010023,595
 187  A*31:01:02-B*15:01:01-C*03:04:01-DRB1*04:04:01-DQB1*02:01:01  Poland BMR 0.002123,595
 188  A*31:01:02-B*15:01:01-C*03:04:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 189  A*31:01:02-B*15:01:01-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.005923,595
 190  A*31:01:02-B*15:01:01-C*03:04:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002223,595
 191  A*31:01:02-B*15:01:01-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.004223,595
 192  A*31:01:02-B*15:01:01-C*03:122-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 193  A*31:01:02-B*15:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:01:01  Poland BMR 0.001823,595
 194  A*31:01:02-B*15:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 195  A*31:01:02-B*15:01:01-C*04:01:01-DRB1*04:07:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 196  A*31:01:02-B*15:01:01-C*04:01:01-DRB1*12:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00855,266
 197  A*31:01:02-B*15:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002123,595
 198  A*31:01:02-B*15:01:01-C*04:01:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.001823,595
 199  A*31:01:02-B*15:01:01-C*07:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.05761,734
 200  A*31:01:02-B*15:01:01-C*08:01:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734

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 7,533) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 76  


   

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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional