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 466) records   Pages: 1 2 3 4 5 of 5  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*03:02-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Northeast UCBB 0.1689296
 102  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP European Caucasian 0.15901,242,890
 103  A*03:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.15752,492
 104  A*02-B*37-DRB1*10:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 105  A*01:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - Greece minority 0.15501,894
 106  A*32:01-B*37:01-DRB1*10:01-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 107  A*11:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.15134,204
 108  A*68:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.14502,492
 109  A*01:01-B*37:01-C*07:04-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 110  A*11:01-B*37:01-C*07:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 111  A*02:03:01-B*37:01:01-C*15:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 112  A*11:01:01-B*37:01:01-C*03:03:01-DRB1*10:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 113  A*32:01:01-B*37:01:01-C*05:01:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 114  A*33:03:01-B*37:01:01-C*07:02:01-DRB1*10:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 115  A*24:02-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.139711,446
 116  A*01:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - France minority 0.13901,406
 117  A*68:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.137211,446
 118  A*01:01-B*37:01-DRB1*10:01  Israel Ethiopia Jews 0.13505,928
 119  A*11:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - China minority 0.13201,282
 120  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.13003,078
 121  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
 122  A*02:06-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.12185,849
 123  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
 124  A*24:02-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.11174,204
 125  A*02:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - France minority 0.11001,406
 126  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
 127  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.10725,266
 128  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Filipino 0.106750,614
 129  A*24:02-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Malay 0.1052951
 130  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 131  A*03:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.10305,849
 132  A*01:01-B*37:01-DRB1*10:01  Israel Poland Jews 0.101013,871
 133  A*02-B*37-DRB1*10:01  USA NMDP Asian and Pacific Islander 0.1000359,423
 134  A*01-B*37-DRB1*10:01  Chile Santiago 0.0996920
 135  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
 136  A*01:01-B*37:01-DRB1*10:01  Israel Arab pop 2 0.098112,301
 137  A*01:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - Bosnia and Herzegovina minority 0.09701,028
 138  A*01:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - Croatia minority 0.09702,057
 139  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
 140  A*03:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.095011,446
 141  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
 142  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.09401,999
 143  A*24:02-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.09401,999
 144  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.09385,266
 145  A*01:01-B*37:01-DRB1*10:01  Israel USA Jews 0.09036,058
 146  A*02:11-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.09034,204
 147  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
 148  A*02:06-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.08901,772
 149  A*01:01-B*37:01-DRB1*10:01  Israel USSR Jews 0.087545,681
 150  A*02:11-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.08692,492
 151  A*25:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - Portugal minority 0.08501,176
 152  A*02:11-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.083411,446
 153  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
 154  A*31:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - Romania minority 0.08101,234
 155  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
 156  A*33:03-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.08095,829
 157  A*01:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - Romania minority 0.07901,234
 158  A*11-B*37-DRB1*10:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 159  A*68:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - China minority 0.07801,282
 160  A*01:01-B*37:01-DRB1*10:01  Israel Argentina Jews 0.07524,307
 161  A*11:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.07485,849
 162  A*68:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.07445,849
 163  A*03:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - Netherlands minority 0.07401,374
 164  A*33:03-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.071511,446
 165  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
 166  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
 167  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
 168  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
 169  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
 170  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
 171  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
 172  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
 173  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
 174  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
 175  A*26:01-B*37:01-C*06:02-DRB1*10:01  Japan pop 16 0.068018,604
 176  A*24:07-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.06682,403
 177  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
 178  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Caribean Hispanic 0.0659115,374
 179  A*01:01-B*37:01-DRB1*10:01  Israel Druze 0.06435,914
 180  A*02:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - China minority 0.06401,282
 181  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
 182  A*02:06-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.06152,403
 183  A*33:03-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.06062,492
 184  A*02:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - Austria minority 0.05901,698
 185  A*26:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.05802,492
 186  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
 187  A*68:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*03:01  Russia Karelia 0.05641,075
 188  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.05621,075
 189  A*11-B*37-DRB1*10:01  Chile Santiago 0.0543920
 190  A*03:01-B*37:01-C*01:44-DRB1*10:01-DQB1*05:01  India South UCBB 0.054211,446
 191  A*02:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.054011,446
 192  A*33:03-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.05304,204
 193  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
 194  A*02:01-B*37:01-C*06:02-DRB1*10:01-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 195  A*11:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 196  A*01:03-B*37:01-DRB1*10:01  Israel Ethiopia Jews 0.05065,928
 197  A*02:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - Croatia minority 0.04902,057
 198  A*03:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 199  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP African 0.048928,557
 200  A*03:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - United Kingdom minority 0.04801,043

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 466) 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.

support@allelefrequencies.net


Valid XHTML 1.0 Transitional