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 2,028) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 21  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*02-B*15-C*07:04-DRB1*04:05-DQB1*04  Russia Transbaikal Territory Buryats 0.3340150
 102  A*02-B*15-C*07:04-DRB1*11:03-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 103  A*26-B*15-C*07:04-DRB1*04:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 104  A*02:01:01-B*37:01:01-C*07:04:01-DRB1*16:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*02:06-DPB1*02:01:02  Russia Belgorod region 0.3268153
 105  A*02:01-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*06:03-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 106  A*24:02:01-B*38:01:01-C*07:04:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*05:02-DPA1*02:01:01-DPB1*03:01  Russia Belgorod region 0.3268153
 107  A*68:01:02-B*15:18:01-C*07:04:01-DRB1*07:01:01-DQA1*03:01:01-DQB1*02:02-DPA1*02:07-DPB1*03:01:01  Russia Belgorod region 0.3268153
 108  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 109  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 110  A*68:01-B*44:02-C*07:04-DRB1*11:01  Germany DKMS - Austria minority 0.32601,698
 111  A*03:01:01-B*15:01:01-C*07:04:01-DRB1*04:02:01  Nicaragua Mestizo (G) 0.3226155
 112  A*01:01-B*07:02-C*07:04-DRB1*15:03-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.3195336
 113  A*01:01-B*08:01-C*07:04-DRB1*13:02-DQB1*03:02-DPB1*02:01  Tanzania Maasai 0.3195336
 114  A*01:03-B*18:01-C*07:04-DRB1*04:01-DQB1*03:02-DPB1*02:01  Tanzania Maasai 0.3195336
 115  A*24:02-B*15:18-C*07:04-DRB1*04:01  Japan pop 16 0.318018,604
 116  A*01:01:01-B*15:18:01-C*07:04:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 117  A*02:01:01-B*15:18:01-C*07:04:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 118  A*02:01:01-B*35:08:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 119  A*24:02-B*18:01-C*07:04-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.3116951
 120  A*68:01-B*44:02-C*07:04-DRB1*11:01  Germany DKMS - Netherlands minority 0.30801,374
 121  A*68:01-B*44:02-C*07:04-DRB1*11:01  Poland DKMS 0.306420,653
 122  B*15:18-C*07:04  USA Hispanic pop 2 0.30101,999
 123  A*02:01-B*07:02-C*07:04-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*16:01  South Africa Worcester 0.3000159
 124  A*03:01-B*08:01-C*07:04-DRB1*04:04-DQA1*01:02-DQB1*04:02-DPB1*03:01  South Africa Worcester 0.3000159
 125  A*11:01-B*18:01-C*07:04-DRB1*15:02-DQA1*01:01-DQB1*05:01-DPB1*13:01  South Africa Worcester 0.3000159
 126  A*24:02-B*18:01-C*07:04-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*04:01  South Africa Worcester 0.3000159
 127  A*29:01-B*18:01-C*07:04-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  South Africa Worcester 0.3000159
 128  A*29:01-B*58:02-C*07:04-DRB1*12:01-DQA1*01:01-DQB1*04:02-DPB1*02:01  South Africa Worcester 0.3000159
 129  A*43:01-B*18:01-C*07:04-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*04:02  South Africa Worcester 0.3000159
 130  A*02:01-B*44:02-C*07:04-DRB1*16:01  Germany DKMS - Romania minority 0.29901,234
 131  A*02:01-B*44:02-C*07:04-DRB1*16:01  Germany DKMS - Portugal minority 0.29801,176
 132  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Italy pop 5 0.2900975
 133  A*68:01-B*15:18-C*07:04-DRB1*13:01-DQB1*06:03  USA NMDP Caribean Indian 0.288214,339
 134  A*02:11:01-B*18:01:01-C*07:04:01-DRB1*15:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 135  A*33:03:01-B*15:18:01-C*07:04:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 136  A*68:01:02-B*15:18:01-C*07:04:01-DRB1*08:03:02-DQB1*03:01:01  India Karnataka Kannada Speaking 0.2870174
 137  A*68:01:02-B*15:18:01-C*07:04:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 138  A*68:01:02-B*15:18:01-C*07:04:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.2810356
 139  B*44:02-C*07:04  USA African American pop 4 0.27002,411
 140  A*01:01:01-B*15:18:01-C*07:04:01-DRB1*14:07:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 141  A*11:01:01-B*07:06:01-C*07:04:01-DRB1*15:02:02-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 142  A*24:17-B*15:18:01-C*07:04:01-DRB1*04:10:01-DQB1*04:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 143  A*33:03:01-B*15:18:01-C*07:04:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 144  A*24:10-B*18:02-C*07:04-DRB1*12:01-DQB1*03:01  Malaysia Peninsular Malay 0.2629951
 145  A*68:01-B*15:18-C*07:04-DRB1*14:04-DQB1*05:03  India North UCBB 0.26125,849
 146  A*03:01:01:01-B*15:09-C*07:04:01-DRB1*04:02:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 147  A*68:01:01:02-B*44:02:01:03-C*07:04:01-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 148  A*68:01:02:02-B*58:01:01-C*07:04:01-DRB1*11:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 0.2604192
 149  A*68:24-B*13:02:01-C*07:04:01-DRB1*10:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 150  A*02:01-B*40:01-C*07:04-DRB1*03:01-DQA1*01:03-DQB1*02:01-DPB1*04:02  USA San Diego 0.2600496
 151  A*02:01-B*44:02-C*07:04-DRB1*12:01-DQA1*05:01-DQB1*03:01-DPB1*04:02  USA San Diego 0.2600496
 152  A*23:01-B*18:01-C*07:04-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*17:01  USA San Diego 0.2600496
 153  A*32:01-B*13:02-C*07:04-DRB1*15:01-DQA1*01:01-DQB1*06:02-DPB1*04:01  USA San Diego 0.2600496
 154  A*02:03-B*13:01-C*07:04-DRB1*14:05-DQB1*06:01  Malaysia Peninsular Chinese 0.2577194
 155  A*11:01-B*46:01-C*07:04-DRB1*14:01-DQB1*05:03  Malaysia Peninsular Chinese 0.2577194
 156  A*02:01-B*18:01-C*07:04-DRB1*12:01-DQB1*03:01  Malaysia Peninsular Malay 0.2567951
 157  A*11:01-B*18:01-C*07:04-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.2492951
 158  A*24:02-B*18:02-C*07:04-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.2454951
 159  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.244623,595
 160  A*02:01-B*44:02-C*07:04-DRB1*11:01  Germany DKMS - Romania minority 0.24301,234
 161  A*68:01:02-B*44:02:01-C*07:04:01  England Blood Donors of Mixed Ethnicity 0.2429519
 162  A*02:01-B*18:01-C*07:04-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.2366951
 163  A*02:01:01-B*44:02:01-C*07:04:01  England Blood Donors of Mixed Ethnicity 0.2347519
 164  A*11:01-B*18:01-C*07:04-DRB1*12:01-DQB1*03:01  Malaysia Peninsular Malay 0.2315951
 165  A*68:01-B*15:18-C*07:04-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.22952,492
 166  A*68:01-B*15:18-C*07:04-DRB1*14:04-DQB1*05:03  India Central UCBB 0.22674,204
 167  A*02:01:01-B*44:02:01-C*07:04:01-DRB1*11:02:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 168  A*26:01:01-B*44:02:01-C*07:04:01-DRB1*13:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 169  A*30:01:01-B*15:18:01-C*07:04:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 170  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*11:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 171  A*03:01-B*44:02-C*07:04-DRB1*16:01  Poland DKMS 0.225220,653
 172  A*02:01-B*15:01-C*07:04-DRB1*11:04-DQA1*01:01-DQB1*05:01-DPB1*02:01  Nicaragua Managua 0.2165339
 173  A*03:01-B*44:02-C*07:04-DRB1*01:01-DQA1*01:01-DQB1*06:03-DPB1*04:01  Nicaragua Managua 0.2165339
 174  A*11:01-B*15:09-C*07:04-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*11:01  Nicaragua Managua 0.2165339
 175  A*24:02-B*15:09-C*07:04-DRB1*11:03-DQB1*03:01  Germany DKMS - Italy minority 0.21601,159
 176  A*02:02-B*18:02-C*07:04-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.2103951
 177  A*11:01-B*18:02-C*07:04-DRB1*12:01-DQB1*03:01  Malaysia Peninsular Malay 0.2103951
 178  A*24:02-B*18:01-C*07:04-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.2103951
 179  A*26:01-B*15:18-C*07:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.2101714
 180  B*15:18-C*07:04  Mexico Mexico City Mestizo pop 2 0.2100234
 181  B*44:02-C*07:04  Italy pop 5 0.2100975
 182  A*32:01-B*15:29-C*07:04-DRB1*16:02-DQB1*05:02  India North UCBB 0.20505,849
 183  A*03:01:01-B*44:27:01-C*07:04:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.203223,595
 184  A*02:01-B*44:02-C*07:04-DRB1*04:04-DQB1*03:02:01  England North West 0.2000298
 185  A*02:01-B*44:02-C*07:04-DRB1*04:07:01-DQB1*03:01  England North West 0.2000298
 186  A*24:02-B*44:02-C*07:04-DRB1*01:01:01-DQB1*05:01:01  England North West 0.2000298
 187  A*68:01-B*15:18-C*07:04-DRB1*13:01:01-DQB1*06:03:01  England North West 0.2000298
 188  A*68:01-B*44:02-C*07:04-DRB1*01:01:01-DQB1*06:02:01  England North West 0.2000298
 189  A*68:01-B*44:02-C*07:04-DRB1*11:01  Italy pop 5 0.2000975
 190  A*68:01-C*07:04  Italy pop 5 0.2000975
 191  A*68:01:02:02-B*44:02:01:03-C*07:04:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.19851,510
 192  A*03:01-B*44:02-C*07:04-DRB1*16:01  Germany DKMS - Bosnia and Herzegovina minority 0.19501,028
 193  A*03:01:01-B*13:02:01-C*07:04:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 194  A*68:01:01-B*15:18:01-C*07:04:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 195  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 196  A*02:01:01-B*44:27:01-C*07:04:01  England Blood Donors of Mixed Ethnicity 0.1927519
 197  A*02:01-B*44:02-C*07:04-DRB1*11:01  Poland DKMS 0.191320,653
 198  A*02:06-B*18:01-C*07:04-DRB1*11:01-DQB1*06:02-DPB1*105:01  Panama 0.1900462
 199  A*34:01-B*40:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*04:01  Panama 0.1900462
 200  A*01:01-B*15:18-C*07:04-DRB1*13:07-DQB1*03:01  Malaysia Peninsular Indian 0.1845271

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 2,028) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 21  


   

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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