Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 101 to 200 (from 430) records   Pages: 1 2 3 4 5 of 5  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.0600833
 102  A*24:02-B*35:01-C*03:03-DRB1*04:10  Japan pop 16 0.057018,604
 103  A*24:02-B*40:06-C*08:01-DRB1*04:10  Japan pop 16 0.057018,604
 104  A*31:01-B*35:01-C*03:03-DRB1*04:10  Japan pop 16 0.057018,604
 105  A*24:02-B*39:08-C*07:02-DRB1*04:10-DQB1*04:02  Colombia Bogotá Cord Blood 0.05671,463
 106  A*29-B*35-DRB1*04:10  Chile Santiago 0.0543920
 107  A*24:02-B*51:01-C*14:02-DRB1*04:10  Japan pop 16 0.052018,604
 108  A*02:01-B*35:43-C*01:02-DRB1*04:10-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 109  A*02:01-B*39:08-C*07:17-DRB1*04:10-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 110  A*02:06-B*35:01-C*03:03-DRB1*04:10  Japan pop 16 0.047018,604
 111  A*02:06-B*35:12-C*04:01-DRB1*04:10-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 112  A*24:02-B*15:15-C*01:02-DRB1*04:10-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 113  A*24:02-B*15:18-C*07:04-DRB1*04:10  Japan pop 16 0.047018,604
 114  A*24:02-B*27:05-C*02:02-DRB1*04:10-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 115  A*24:02-B*35:20-C*04:01-DRB1*04:10-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 116  A*02:11-B*35:03-C*04:01-DRB1*04:10-DQA1*03:03-DQB1*06:01-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.0467570
 117  A*02:64-B*35:01-C*04:01-DRB1*04:10-DQA1*03:01-DQB1*04:02-DPA1*02:01-DPB1*13:01  United Arab Emirates Pop 1 0.0467570
 118  A*24:02-B*35:01-C*01:02-DRB1*04:10-DQA1*01:01-DQB1*05:03-DPA1*02:01-DPB1*09:01  United Arab Emirates Pop 1 0.0467570
 119  A*29:01-B*13:03-C*06:02-DRB1*04:10-DQA1*03:01-DQB1*03:03-DPA1*02:02-DPB1*01:01  United Arab Emirates Pop 1 0.0467570
 120  A*24:14-B*39:08-C*07:02-DRB1*04:10-DQB1*04:02  Colombia Bogotá Cord Blood 0.04581,463
 121  A*02:01-B*15:11-C*03:03-DRB1*04:10-DQB1*04:02  USA Asian pop 2 0.04401,772
 122  A*02:16-B*51:06-C*14:02-DRB1*04:10-DQB1*04:02  USA Asian pop 2 0.04401,772
 123  A*30:01-B*13:02-C*06:02-DRB1*04:10-DQB1*04:02  USA Asian pop 2 0.04401,772
 124  A*31:01-B*67:01-C*07:02-DRB1*04:10-DQB1*04:02  USA Asian pop 2 0.04401,772
 125  A*33:03-B*35:01-C*03:03-DRB1*04:10-DQB1*04:02  USA Asian pop 2 0.04401,772
 126  A*33:03-B*40:03-C*03:04-DRB1*04:10-DQB1*04:02  USA Asian pop 2 0.04401,772
 127  A*02:11-B*40:06-C*15:02-DRB1*04:10-DQB1*04:02  India South UCBB 0.043411,446
 128  A*31:01-B*40:02-C*03:04-DRB1*04:10-DQB1*04:02  Germany DKMS - Italy minority 0.04301,159
 129  A*11:01-B*35:01-C*03:03-DRB1*04:10  Japan pop 16 0.042018,604
 130  A*24:02-B*15:08-C*01:02-DRB1*04:10-DQB1*04:02  India East UCBB 0.04162,403
 131  A*03:01-B*57:01-C*06:02-DRB1*04:10  Germany DKMS - Romania minority 0.04101,234
 132  A*31:01-B*51:02-C*15:02-DRB1*04:10  Germany DKMS - Romania minority 0.04101,234
 133  A*24:02-B*07:05-C*07:02-DRB1*04:10-DQB1*04:02  India Tamil Nadu 0.04012,492
 134  A*24:02-B*40:06-C*15:02-DRB1*04:10-DQB1*04:02  India Tamil Nadu 0.04012,492
 135  A*01:01-B*35:01-C*03:03-DRB1*04:10  Germany DKMS - China minority 0.03901,282
 136  A*02:01-B*15:11-C*03:03-DRB1*04:10  Germany DKMS - China minority 0.03901,282
 137  A*02:03-B*55:02-C*12:03-DRB1*04:10  Germany DKMS - China minority 0.03901,282
 138  A*11:01-B*40:02-C*15:02-DRB1*04:10  Germany DKMS - China minority 0.03901,282
 139  A*32:01-B*48:01-C*07:02-DRB1*04:10  Germany DKMS - China minority 0.03901,282
 140  A*02:01-B*39:01-C*07:02-DRB1*04:10  Japan pop 16 0.037018,604
 141  A*02:01-B*40:02-C*03:04-DRB1*04:10  Japan pop 16 0.037018,604
 142  A*02:06-B*40:06-C*08:01-DRB1*04:10  Japan pop 16 0.037018,604
 143  A*31:01-B*51:01-C*14:02-DRB1*04:10  Japan pop 16 0.037018,604
 144  A*02:11-B*35:43-C*01:02-DRB1*04:10-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 145  A*02:22-B*39:11-C*07:02-DRB1*04:10-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 146  A*29:02-B*07:02-C*07:02-DRB1*04:10-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 147  A*02:01-B*39:11-C*07:02-DRB1*04:10-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 148  A*03:20-B*51:08:01-C*16:02:01-DRB1*04:10:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 149  A*24:02:01:01-B*40:01:02-C*03:04:01:01-DRB1*04:10:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 150  A*24:02:01:01-B*40:02:01-C*03:04:01-DRB1*04:10:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 151  A*02:01-B*35:01-C*08:01-DRB1*04:10  Japan pop 16 0.031018,604
 152  A*02:01-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 153  A*02:01-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 154  A*02:01-B*35:01-C*03:04-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 155  A*02:01-B*38:02-C*07:02-DRB1*04:10-DQA1*03:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 156  A*02:01-B*40:02-C*03:04-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*05:01  Japan pop 17 0.03003,078
 157  A*02:01-B*48:01-C*08:01-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 158  A*02:06-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 159  A*02:06-B*40:02-C*03:04-DRB1*04:10-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 160  A*02:06-B*40:02-C*07:02-DRB1*04:10-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 161  A*02:07-B*56:01-C*04:01-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 162  A*11:01-B*51:01-C*15:02-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 163  A*11:01-B*54:01-C*01:02-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 164  A*24:02-B*07:02-C*07:02-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 165  A*24:02-B*15:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 166  A*24:02-B*15:18-C*08:01-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 167  A*24:02-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 168  A*24:02-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 169  A*24:02-B*35:01-C*03:04-DRB1*04:10-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 170  A*24:02-B*40:01-C*03:04-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 171  A*24:02-B*40:02-C*03:04-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 172  A*24:02-B*40:02-C*03:04-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 173  A*24:02-B*40:02-C*03:04-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*14:01  Japan pop 17 0.03003,078
 174  A*24:02-B*40:06-C*08:01-DRB1*04:10-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 175  A*24:02-B*40:06-C*08:01-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 176  A*24:02-B*40:06-C*08:01-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 177  A*24:02-B*48:01-C*08:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 178  A*24:02-B*51:01-C*14:02-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*03:01  Japan pop 17 0.03003,078
 179  A*24:02-B*51:01-C*14:02-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 180  A*24:02-B*52:01-C*12:02-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*14:01  Japan pop 17 0.03003,078
 181  A*24:20-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 182  A*26:01-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 183  A*26:01-B*35:01-C*03:04-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 184  A*26:01-B*40:02-C*03:04-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 185  A*26:02-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 186  A*26:02-B*51:01-C*15:02-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 187  A*26:03-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 188  A*31:01-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 189  A*31:01-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 190  A*31:01-B*40:02-C*03:04-DRB1*04:10-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 191  A*31:01-B*40:02-C*03:04-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 192  A*31:01-B*40:02-C*03:04-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 193  A*31:01-B*51:01-C*14:02-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 194  A*24:02-B*51:06-C*14:02-DRB1*04:10-DQB1*04:02  India South UCBB 0.029311,446
 195  A*02:01:01-B*40:03:01-C*03:04:01-DRB1*04:10:01-DQB1*04:02:01  China Zhejiang Han 0.02881,734
 196  A*02:07:01-B*48:01:01-C*08:03:01-DRB1*04:10:01-DQB1*04:02:01  China Zhejiang Han 0.02881,734
 197  A*02:07:01-B*67:01:02-C*01:02:01-DRB1*04:10:01-DQB1*04:02:01  China Zhejiang Han 0.02881,734
 198  A*03:01:01-B*40:06:01-C*08:01:01-DRB1*04:10:01-DQB1*04:02:01  China Zhejiang Han 0.02881,734
 199  A*11:01:01-B*48:01:01-C*08:01:01-DRB1*04:10:01-DQB1*04:02:01  China Zhejiang Han 0.02881,734
 200  A*24:02:01-B*38:02:01-C*07:27:01-DRB1*04:10:01-DQB1*04:02:01  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 430) records   Pages: 1 2 3 4 5 of 5  


   

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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