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 356) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.04301,159
 102  A*26:01-B*44:03-C*14:03-DRB1*13:02  Japan pop 16 0.042018,604
 103  A*33:03-B*44:03-C*14:03-DRB1*11:01  Japan pop 16 0.042018,604
 104  A*11:01-B*44:03-C*14:03-DRB1*14:01  Germany DKMS - China minority 0.03901,282
 105  A*24:02-B*44:03-C*14:03-DRB1*13:02  Germany DKMS - China minority 0.03901,282
 106  A*26-B*44-C*14-DRB1*04  Macedonia MBMDR - Macedonian 0.03901,283
 107  A*33:03-B*44:03-C*14:03-DRB1*04:05  Germany DKMS - China minority 0.03901,282
 108  A*24:02-B*44:03-C*14:03-DRB1*08:03  Japan pop 16 0.037018,604
 109  A*33:03-B*44:03-C*14:03-DRB1*04:03  Japan pop 16 0.037018,604
 110  A*26:09-B*44:03-C*14:03-DRB1*04:05  Germany DKMS - Netherlands minority 0.03601,374
 111  A*11:01-B*44:02-C*14:02-DRB1*15:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 112  A*02:01-B*44:03-C*14:03-DRB1*04:05-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 113  A*26:01-B*44:03-C*14:03-DRB1*04:05-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 114  A*02-B*44-C*14-DRB1*04-DQA1*03-DQB1*03  Spain, Castilla y Leon, Northwest, 0.03281,743
 115  A*26-B*44-C*14-DRB1*04-DQA1*03-DQB1*02  Spain, Castilla y Leon, Northwest, 0.03281,743
 116  A*30-B*44-C*14-DRB1*12-DQA1*05-DQB1*03  Spain, Castilla y Leon, Northwest, 0.03281,743
 117  A*02:01-B*44:03-C*14:03-DRB1*09:01-DQA1*03:03-DQB1*03:01-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 118  A*02:06-B*44:03-C*14:03-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 119  A*02:06-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 120  A*02:06-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 121  A*02:07-B*44:03-C*14:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*14:01  Japan pop 17 0.03003,078
 122  A*02:07-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 123  A*02:07-B*44:03-C*14:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 124  A*24:02-B*44:03-C*14:03-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 125  A*24:02-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 126  A*24:02-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 127  A*24:02-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 128  A*24:02-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 129  A*26:02-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 130  A*31:01-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 131  A*33:03-B*44:03-C*14:03-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 132  A*33:03-B*44:03-C*14:03-DRB1*04:05-DQA1*03:01-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 133  A*33:03-B*44:03-C*14:03-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 134  A*33:03-B*44:03-C*14:03-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 135  A*33:03-B*44:03-C*14:03-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 136  A*33:03-B*44:03-C*14:03-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 137  A*33:03-B*44:03-C*14:03-DRB1*08:02-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 138  A*33:03-B*44:03-C*14:03-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 139  A*33:03-B*44:03-C*14:03-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 140  A*33:03-B*44:03-C*14:03-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 141  A*33:03-B*44:03-C*14:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 142  A*33:03-B*44:03-C*14:03-DRB1*09:01-DQA1*03:03-DQB1*03:01-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 143  A*33:03-B*44:03-C*14:03-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 144  A*33:03-B*44:03-C*14:03-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 145  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*05:01  Japan pop 17 0.03003,078
 146  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 147  A*33:03-B*44:03-C*14:03-DRB1*14:03-DQA1*05:03-DQB1*03:01-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 148  A*33:03-B*44:03-C*14:03-DRB1*14:05-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 149  A*33:03-B*44:03-C*14:03-DRB1*14:54-DQA1*01:04-DQB1*05:03-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 150  A*33:03-B*44:03-C*14:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 151  A*33:03-B*44:03-C*14:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 152  A*33:03-B*44:03-C*14:03-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*02:02-DPB1*02:02  Japan pop 17 0.03003,078
 153  A*26:01-B*44:03-C*14:03-DRB1*11:01  Germany DKMS - Austria minority 0.02901,698
 154  A*02:07:01-B*44:03:01-C*14:03:01-DRB1*13:02:01-DQB1*06:04:01  China Zhejiang Han 0.02881,734
 155  A*11:01:01-B*44:03:01-C*14:03:01-DRB1*13:02:01-DQB1*06:04:01  China Zhejiang Han 0.02881,734
 156  A*33:03:01-B*44:03:01-C*14:03:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.02881,734
 157  A*33:03:01-B*44:03:01-C*14:03:01-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02881,734
 158  B*44:03-C*14:02  USA Asian pop 2 0.02801,772
 159  A*02:01-B*44:02-C*14:02-DRB1*11:04  Germany DKMS - Greece minority 0.02601,894
 160  A*02:01-B*44:03-C*14:03-DRB1*15:01  Germany DKMS - Greece minority 0.02601,894
 161  A*11:01-B*44:03-C*14:03-DRB1*04:05  Germany DKMS - Greece minority 0.02601,894
 162  A*26:02-B*44:03-C*14:03-DRB1*13:02  Japan pop 16 0.026018,604
 163  A*33:03-B*44:03-C*14:03-DRB1*01:01  Japan pop 16 0.026018,604
 164  A*11:01-B*44:03-C*14:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.02565,849
 165  A*11:01-B*44:03-C*14:03-DRB1*10:01-DQB1*05:01  India Central UCBB 0.02384,204
 166  A*33:03-B*44:03-C*14:03-DRB1*13:03-DQB1*03:29  India Central UCBB 0.02384,204
 167  A*02:01-B*44:02-C*14:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02104,856
 168  A*02:01-B*44:03-C*14:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02104,856
 169  A*26:01-B*44:03-C*14:03-DRB1*04:05-DQB1*03:02  Germany DKMS - Turkey minority 0.02104,856
 170  A*26:01-B*44:03-C*14:03-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.02104,856
 171  A*33:03-B*44:03-C*14:03-DRB1*04:06  Japan pop 16 0.021018,604
 172  A*33:03-B*44:03-C*14:03-DRB1*12:01  Japan pop 16 0.021018,604
 173  A*68:01-B*44:03-C*14:03-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02104,856
 174  A*01:01-B*44:03-C*14:03-DRB1*13:03-DQB1*05:01  India East UCBB 0.02082,403
 175  A*26:01-B*44:03-C*14:03-DRB1*11:06-DQB1*05:02  India East UCBB 0.02082,403
 176  A*33:03-B*44:03-C*14:02-DRB1*13:02  Hong Kong Chinese BMDR 0.01967,595
 177  A*11:01-B*44:03-C*14:03-DRB1*13:03-DQB1*03:29  India North UCBB 0.01785,849
 178  A*33:03-B*44:03-C*14:03-DRB1*13:03-DQB1*03:29  India South UCBB 0.017411,446
 179  A*33:03:01-B*44:03:01-C*14:03:01-DRB1*13:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01735,266
 180  A*24:02-B*44:03-C*14:03-DRB1*13:03-DQB1*03:29  India North UCBB 0.01715,849
 181  A*33:03-B*44:03-C*14:03-DRB1*13:03-DQB1*03:29  India North UCBB 0.01645,849
 182  A*26:01-B*44:03-C*14:03-DRB1*08:03  Japan pop 16 0.016018,604
 183  A*26:03-B*44:03-C*14:03-DRB1*13:02  Japan pop 16 0.016018,604
 184  A*33:03-B*44:03-C*14:03-DRB1*14:03  Japan pop 16 0.016018,604
 185  A*33:03:01-B*44:03:01-C*14:03:01-DRB1*08:03:02-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01555,266
 186  A*33:03:01-B*44:03:01-C*14:03:01-DRB1*13:02:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01395,266
 187  A*33:03-B*44:03-C*14:03-DRB1*14:05  Hong Kong Chinese BMDR 0.01327,595
 188  A*33:03-B*44:03-C*14:03-DRB1*03:01  Hong Kong Chinese BMDR 0.01307,595
 189  A*02:01:01-B*44:03:01-C*14:03:01-DRB1*13:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01285,266
 190  A*33:03:01-B*44:03:01-C*14:03:01-DRB1*09:01:02-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01265,266
 191  A*68:01-B*44:03-C*14:03-DRB1*13:03-DQB1*03:29  India West UCBB 0.01205,829
 192  A*02:05-B*44:03-C*14:02-DRB1*12:01-DQB1*03:01  India Central UCBB 0.01194,204
 193  A*31:01-B*44:03-C*14:03-DRB1*07:01-DQB1*03:29  India Central UCBB 0.01194,204
 194  A*33:03-B*44:03-C*14:03-DRB1*15:02-DQB1*06:01  India Central UCBB 0.01194,204
 195  A*02:01-B*44:03-C*14:03-DRB1*04:05-DQB1*03:02  Germany DKMS - Turkey minority 0.01104,856
 196  A*02:01-B*44:03-C*14:03-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.01102,411
 197  A*02:01-B*44:03-C*14:03-DRB1*13:01-DQB1*03:03  USA African American pop 4 0.01102,411
 198  A*02:06-B*44:03-C*14:03-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.01101,772
 199  A*02:06-B*44:03-C*14:03-DRB1*14:01-DQB1*05:03  USA Asian pop 2 0.01101,772
 200  A*03:01-B*44:03-C*14:03-DRB1*07:01-DQB1*03:03  USA African American pop 4 0.01102,411

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 356) records   Pages: 1 2 3 4 of 4  


   

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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