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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Sample Size:      Sample Year:     Loci Tested: 
Displaying 101 to 200 (from 319) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Middle Eastern or North Coast of Africa 0.125470,890
 102  A*01-B*37-DRB1*10-DQB1*05  Mexico Coahuila, Torreon 0.1250396
 103  A*02:06-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.12185,849
 104  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Hispanic South or Central American 0.1163146,714
 105  A*24:02-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.11174,204
 106  A*01-B*37-C*06-DRB1*10-DQB1*05-DPB1*02  Norway ethnic Norwegians 0.11004,510
 107  A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.10951,734
 108  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Filipino 0.106750,614
 109  A*24:02-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Malay 0.1052951
 110  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 111  A*03:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.10305,849
 112  A*26-B*37-DRB1*10-DQB1*05  Mexico Oaxaca Rural 0.1027485
 113  A*01:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.09931,510
 114  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.096028,927
 115  A*03:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.095011,446
 116  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP North American Amerindian 0.094735,791
 117  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.09401,999
 118  A*24:02-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.09401,999
 119  A*02-B*37-DRB1*10-DQB1*05  Mexico Veracruz Rural 0.0924539
 120  A*02:11-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.09034,204
 121  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.089723,595
 122  A*02:06-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.08901,772
 123  A*02:11-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.08692,492
 124  A*01:01-B*37:01-C*06:02-DRB1*10:02-DQB1*05:01  India Tamil Nadu 0.08342,492
 125  A*02:11-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.083411,446
 126  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Mexican or Chicano 0.0831261,235
 127  A*11:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.08091,734
 128  A*33:03-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.08095,829
 129  A*11-B*37-DRB1*10:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 130  A*11:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.07485,849
 131  A*68:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.07445,849
 132  A*33:03-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.071511,446
 133  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 134  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  Sri Lanka Colombo 0.0700714
 135  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
 136  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
 137  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
 138  A*24:07-B*37:01-C*01:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*14:01  Sri Lanka Colombo 0.0700714
 139  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
 140  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
 141  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
 142  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
 143  A*24:07-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.06682,403
 144  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
 145  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Caribean Hispanic 0.0659115,374
 146  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
 147  A*02:06-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.06152,403
 148  A*33:03-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.06062,492
 149  A*02-B*37-C*06-DRB1*10-DQB1*05-DPB1*03  Norway ethnic Norwegians 0.06004,510
 150  A*03-B*37-C*06-DRB1*10-DQB1*05-DPB1*02  Norway ethnic Norwegians 0.06004,510
 151  A*26:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.05802,492
 152  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
 153  A*68:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*03:01  Russia Karelia 0.05641,075
 154  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.05621,075
 155  A*03:01-B*37:01-C*01:44-DRB1*10:01-DQB1*05:01  India South UCBB 0.054211,446
 156  A*02:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.054011,446
 157  A*33:03-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.05304,204
 158  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
 159  A*11:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 160  A*02-B*37-DRB1*10-DQB1*05  Mexico Puebla, Puebla city 0.05011,994
 161  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP African 0.048928,557
 162  A*24:02-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.04735,829
 163  A*24:02-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.04705,849
 164  A*26:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 165  A*32:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 166  A*24:02-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.04482,403
 167  A*02:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 168  A*02:06-B*37:01-C*14:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 169  A*03:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 170  A*01:01-B*37:04-C*06:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Italy minority 0.04301,159
 171  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Caribean Black 0.042433,328
 172  A*26:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.04235,849
 173  A*02-B*37-DRB1*10-DQB1*05  Mexico Jalisco, Guadalajara city 0.04191,189
 174  A*02:11-B*37:01-C*12:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.04012,492
 175  A*01-B*37-C*06-DRB1*10-DQB1*05-DPB1*04  Norway ethnic Norwegians 0.04004,510
 176  A*03:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.03942,403
 177  A*02:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.03912,403
 178  A*31:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.03904,856
 179  A*11:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.03662,403
 180  A*68:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.03545,829
 181  A*68:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.03432,403
 182  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 183  A*30:02-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 184  A*03:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 185  A*25:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 186  A*32:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 187  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
 188  A*02:11-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.03375,829
 189  A*68:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.03324,204
 190  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
 191  A*24:02:01:01-B*37:01:01-C*08:02:01:02-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 192  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
 193  A*01-B*37-C*06-DRB1*10-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 194  A*11-B*37-C*01-DRB1*10-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 195  A*11-B*37-C*06-DRB1*10-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 196  A*23-B*37-C*06-DRB1*10-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 197  A*29-B*37-C*06-DRB1*10-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 198  A*68-B*37-C*08-DRB1*10-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 199  A*26:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.031511,446
 200  A*32:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.030811,446

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 319) 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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