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 5,896) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 59  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*33:03-B*44:03-C*07:01/07:06  South Korea pop 3 3.1000485
 102  A*33-B*15-DRB1*15  Bangladesh Dhaka Bangalee 3.1000141
 103  A*33-B*58-DRB1*13:02  South Korea pop 1 3.1000324
 104  A*33:01-B*14:01  Tunisia 3.0000100
 105  A*33:01-B*14:02-DRB1*01:02  Armenia combined Regions 3.0000100
 106  A*33:01-C*08:02  Tunisia 3.0000100
 107  A*33:03-B*44:03-C*07:01/07:06-DRB1*07:01-DQB1*02:01/02:02  South Korea pop 3 3.0000485
 108  A*33:03-B*58:01-C*03:02-DRB1*03:01  China Yunnan Province Han 3.0000101
 109  A*33:03-B*58:01-C*03:02-DRB1*13:02  China Yunnan Province Han 3.0000101
 110  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  South Korea pop 3 3.0000485
 111  A*33:03-B*58:01-DRB1*13:02  South Korea pop 3 3.0000485
 112  A*33:03-B*58:01-DRB1*13:02  South Korea pop 10 3.00004,128
 113  A*33-B*14-C*08  Italy Sardinia pop3 3.0000100
 114  A*33-B*58-C*03  Pakistan Mixed Pathan 3.0000100
 115  A*33-B*58-DRB1*03  Malaysia pop 3 3.00001,445
 116  A*33:03-B*44:03  USA Asian pop 2 2.93801,772
 117  A*33:03-B*44:03-DRB1*07:01  South Korea pop 3 2.9000485
 118  A*33:03-B*58:01  Taiwan Siraya 2.900051
 119  A*33:03-B*58:01-C*03:02-DRB1*03:01  Iran Baloch 2.9000100
 120  A*33:03-C*03:02  Taiwan Siraya 2.900051
 121  A*33-B*58-C*03  Pakistan Brahui 2.9000104
 122  A*33-B*58-DRB1*03  Philippines National Capital Region 2.900051
 123  A*33-B*44-DRB1*07  Thailand pop 4 2.850016,807
 124  A*33-B*15-DRB1*14  India sub-Himalayan West Bengal Kami 2.8400158
 125  A*33:03-B*58:01-DRB1*03:01-DPB1*04:01  China Canton Han 2.8000264
 126  A*33-B*35-DRB1*07  Bangladesh Dhaka Bangalee 2.8000141
 127  A*33-B*44-C*07  South Korea pop 1 2.8000324
 128  A*33-B*44-DRB1*07:01  South Korea pop 1 2.8000324
 129  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP South Asian Indian 2.7980185,391
 130  A*33:03-B*58:01-DRB1*03:01  China Jiangsu Province Han 2.7900334
 131  A*33:01-B*14:02-DRB1*12:01  Israel YemenJews 2.770015,542
 132  A*33-B*14:02-DRB1*01-DQB1*05  Mexico Coahuila, Saltillo 2.739772
 133  A*33-B*44-C*07-DRB1*07  Myanmar Kayah 2.727055
 134  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP Korean 2.716577,584
 135  A*33:01-B*58:01-C*07:02  China Guizhou Province Bouyei 2.7000109
 136  A*33:03-B*78:01-C*16:01  Mali Bandiagara 2.7000138
 137  A*33-B*14:02-DRB1*01-DQB1*05  Mexico Jalisco, Zapopan 2.6786168
 138  A*33:01-B*14:02-DRB1*01:02  Israel Argentina Jews 2.67004,307
 139  A*33:01-B*14:02  Brazil Belo Horizonte Caucasian 2.600095
 140  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  Vietnam Hanoi Kinh pop 2 2.6000170
 141  A*33-B*14-C*08-DRB1*01  Iran pop 4 2.6000855
 142  A*33-B*14-C*08-DRB1*01-DQB1*05  Spain Ibiza 2.600088
 143  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Korean 2.596977,584
 144  A*33:03-B*58:01-DRB1*03:01  China Jiangsu Han 2.59003,238
 145  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India UCBB_Central Indian HLA 2.58154,204
 146  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 2.56105,266
 147  A*33-B*14:02-DRB1*01-DQB1*05  Mexico Sonora Rural 2.5381197
 148  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Southeast Asian 2.512727,978
 149  A*33-B*14:02-DRB1*01-DQB1*05  Mexico Baja Californa, Mexicali 2.5000100
 150  A*33-B*58-DRB1*03  China Jiangsu Province 2.500020,248
 151  A*33:03-B*44:03-DRB1*07:01  South Korea pop 10 2.46004,128
 152  A*33-B*45-DRB1*04-DQB1*03:01  Mexico Hidalgo, Pachuca 2.439041
 153  A*33:03-B*58:01-C*03:02-DRB1*13:02  China Southwest Dai 2.4000124
 154  A*33:03-B*58:01-DRB1*13:02  China Southwest Dai 2.4000124
 155  A*33-B*58  Pakistan Brahui 2.4000104
 156  A*33-B*58-DRB1*03  Pakistan Mixed Pathan 2.4000100
 157  A*33-B*58-DRB1*03  India sub-Himalayan West Bengal Kami 2.3900158
 158  A*33:01-G*01:01  Ecuador Amerindians 2.381063
 159  A*33:01:01-B*55:01:01-C*03:03:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Barra Mansa Rio State Black 2.381073
 160  A*33-B*40-DRB1*15  India sub-Himalayan West Bengal Kami 2.3800158
 161  A*33:01-B*14:02-DRB1*01:02  Israel Ashkenazi Jews pop 3 2.36004,625
 162  A*33:01-B*14:02-C*08:02  Italy pop 5 2.3500975
 163  A*33-B*58-C*03-DRB1*03  Myanmar Mon 2.344064
 164  A*33:01-B*14:02-DRB1*07:01-DQB1*03:03  Chile Mapuche 2.310066
 165  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 2.30612,492
 166  A*33-B*14-C*08-DRB1*04-DQB1*03  Spain Minorca 2.300094
 167  A*33-B*14-DRB1*01:02-DQB1*05:01  Madeira pop 2 2.3000173
 168  A*33-B*58-DRB1*03:01  South Korea pop 1 2.3000324
 169  A*33-B*58-DRB1*13:02  China Yunnan Province Han pop 2 2.3000129
 170  A*33-B*44-DRB1*01:03-DQB1*05  Mexico Guanajuato, Guanajuato city 2.272722
 171  A*33-B*07-DRB1*15-DQB1*06  Mexico Queretaro, Queretaro city 2.222245
 172  A*33:03-B*58:01-C*03:02-DRB1*03:01  Germany DKMS - China minority 2.22101,282
 173  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  USA Asian pop 2 2.21401,772
 174  A*33-B*14-DRB1*01  Madeira pop 3 2.2000538
 175  A*33-B*51-DRB1*03  Pakistan Baloch 2.200066
 176  A*33:01-B*14:02-DRB1*01:02  Israel Poland Jews 2.180013,871
 177  A*33-B*53-DRB1*09-DQB1*02  Mexico Tamaulipas, Ciudad Victoria 2.173923
 178  A*33:01-B*14:02-DRB1*01:02  Israel USA Jews 2.15006,058
 179  A*33:03-B*44:03-DRB1*13:02  China Jiangsu Han 2.14003,238
 180  A*33:01-B*14:02-DRB1*01:02  Israel USSR Jews 2.110045,681
 181  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  India Andhra Pradesh Telugu Speaking 2.1050186
 182  A*33:01-B*14:02  Cuba Caucasian 2.100070
 183  A*33:03-B*44:03-C*14:03  USA Asian 2.1000358
 184  A*33:03-B*58:01-C*03:02-DRB1*13:02  Taiwan pop 2 2.1000364
 185  A*33-B*58-C*03  Malaysia Perak and Johor Banjar Bugis Jawa 2.100094
 186  A*33-B*58-DRB1*13  Malaysia pop 3 2.10001,445
 187  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01  China Jingpo Minority 2.0830105
 188  A*33:03:01-B*44:03:02-DRB1*07:01:01  China Jingpo Minority 2.0830105
 189  A*33:03:01-C*07:01:01-DRB1*07:01:01  China Jingpo Minority 2.0620105
 190  A*33:03:01-B*40:01:02-C*12:03:01  South African Indian population 2.000050
 191  A*33:03-B*15:02-DRB1*12:02  Malaysia Patani 2.000025
 192  A*33:03-B*18:01-DRB1*10:01  Malaysia Patani 2.000025
 193  A*33:03-B*52:01-DRB1*07:01  Malaysia Patani 2.000025
 194  A*33:03-B*56:04-DRB1*04:01  Malaysia Patani 2.000025
 195  A*33:03-B*58:01-C*03:02-DRB1*15:04  China Yunnan Hani 2.0000150
 196  A*33:03-B*58:01-DRB1*03:01  South Korea pop 3 2.0000485
 197  A*33:19-B*15:17-DRB1*13:02  Malaysia Patani 2.000025
 198  A*33-B*14:02-DRB1*01-DQB1*05  Mexico Baja California Rural 2.000050
 199  A*33-B*44-DRB1*07  Pakistan Mixed Pathan 2.0000100
 200  A*33-B*58-DRB1*03:01  Malaysia Sarawak Iban 2.000051

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 5,896) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 59  


   

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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