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 : 
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Displaying 101 to 200 (from 227) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*03:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 102  A*03:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 103  A*24:02-B*37:01-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 104  A*33:03-B*37:01-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 105  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 106  A*24:02-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 107  A*11:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.06911,734
 108  A*24:07-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.06682,403
 109  A*03:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.06621,510
 110  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Caribean Hispanic 0.0659115,374
 111  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*02:01  Germany DKMS - German donors 0.06383,456,066
 112  A*02:06-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.06152,403
 113  A*33:03-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.06062,492
 114  A*02-B*37-C*06-DRB1*10-DQB1*05-DPB1*03  Norway ethnic Norwegians 0.06004,510
 115  A*03-B*37-C*06-DRB1*10-DQB1*05-DPB1*02  Norway ethnic Norwegians 0.06004,510
 116  A*26:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.05802,492
 117  A*02:06:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.05771,734
 118  A*68:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*03:01  Russia Karelia 0.05641,075
 119  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.05621,075
 120  A*02:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.054011,446
 121  A*33:03-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.05304,204
 122  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.05293,456,066
 123  A*11:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 124  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP African 0.048928,557
 125  A*24:02-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.04735,829
 126  A*24:02-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.04705,849
 127  A*26:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 128  A*32:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 129  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 130  A*26:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*09:01  United Arab Emirates Pop 1 0.0467570
 131  A*68:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*09:01  United Arab Emirates Pop 1 0.0467570
 132  A*24:02-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.04482,403
 133  A*02:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 134  A*03:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 135  A*01:01-B*37:04-C*06:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Italy minority 0.04301,159
 136  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Caribean Black 0.042433,328
 137  A*26:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.04235,849
 138  A*01-B*37-C*06-DRB1*10-DQB1*05-DPB1*04  Norway ethnic Norwegians 0.04004,510
 139  A*03:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.03942,403
 140  A*02:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.03912,403
 141  A*31:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.03904,856
 142  A*11:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.03662,403
 143  A*68:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.03545,829
 144  A*68:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.03432,403
 145  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 146  A*30:02-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 147  A*03:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 148  A*25:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 149  A*32:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 150  A*02:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*02:01  Germany DKMS - German donors 0.03383,456,066
 151  A*02:11-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.03375,829
 152  A*68:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.03324,204
 153  A*11:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 154  A*68:02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 155  A*01-B*37-C*06-DRB1*10-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 156  A*11-B*37-C*06-DRB1*10-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 157  A*23-B*37-C*06-DRB1*10-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 158  A*29-B*37-C*06-DRB1*10-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 159  A*26:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.031511,446
 160  A*32:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.030811,446
 161  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP African American pop 2 0.0303416,581
 162  A*32:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.03025,829
 163  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 164  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 165  A*02:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 166  A*02:06-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 167  A*24:02-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 168  A*31:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 169  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 170  A*11:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.02625,829
 171  A*31:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.024511,446
 172  A*01:01-B*37:04-C*06:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.02384,204
 173  A*30:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.021211,446
 174  A*02:11-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.02112,403
 175  A*02:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.02104,856
 176  A*03:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.02104,856
 177  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:03  India Tamil Nadu 0.02092,492
 178  A*02:05-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 179  A*02:08-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 180  A*11:01-B*37:78-C*06:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 181  A*24:07-B*37:01-C*06:60-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 182  A*02:01-B*37:01-C*06:02-DRB1*10:03-DQB1*05:01  India Tamil Nadu 0.02012,492
 183  A*03:12-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 184  A*29:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 185  A*31-B*37-C*06-DRB1*10-DQB1*05-DPB1*02  Norway ethnic Norwegians 0.02004,510
 186  A*33:03-B*37:01-C*06:02-DRB1*10:02-DQB1*05:01  India Tamil Nadu 0.01962,492
 187  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.019323,595
 188  A*02:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.01885,849
 189  A*02:01-B*37:04-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.017511,446
 190  A*03:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*02:01  Germany DKMS - German donors 0.01513,456,066
 191  A*32:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01504,856
 192  A*26:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.014323,595
 193  A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.012723,595
 194  A*02:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.01273,456,066
 195  A*23:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01214,204
 196  A*02:20-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01204,204
 197  A*02:01-B*37:04-C*06:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01194,204
 198  A*03:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.01195,829
 199  A*01-B*37-C*06-DRB1*10-DQB1*05-DPB1*20  Norway ethnic Norwegians 0.01004,510
 200  A*03-B*37-C*06-DRB1*10-DQB1*05-DPB1*04  Norway ethnic Norwegians 0.01004,510

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 227) records   Pages: 1 2 3 of 3  


   

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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