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 2,790) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 28  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*31:01:02-B*27:05:02-C*01:02:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 102  A*36:01-B*53:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:02:02-DPB1*02:01:19  Brazil Rio de Janeiro Black 1.470668
 103  A*74:01:01-B*15:03:01-C*06:02:01-DRB1*16:02:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 104  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 1.4006714
 105  DRB1*07:01-DQA1*02:01-DQB1*02:01-DPB1*02:01  China Canton Han 1.4000264
 106  DRB1*11:04-DRB3*02:02-DQA1*05:01-DQB1*03:01-DPB1*02:01  USA San Francisco Caucasian 1.4000220
 107  DRB1*11:04-DRB3*02:02-DQA1*05:01-DQB1*03:01-DPB1*02:01  USA San Francisco Caucasian 1.4000220
 108  DRB1*12:01-DQA1*05:05-DQB1*03:01-DPB1*02:01  South Korea pop 1 1.4000324
 109  A*02:06-B*40:02-C*03:04-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 1.3761218
 110  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 1.3618521
 111  DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 1.3275833
 112  DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  South Korea pop 11 1.3000149
 113  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPB1*02:01  South Korea pop 1 1.3000324
 114  DRB1*07:01-DQB1*02:02-DPB1*02:01  Ireland South 1.3000250
 115  DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 1.28341,064
 116  A*24:02-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*02:01  Russia Karelia 1.27031,075
 117  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 1.2605714
 118  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 1.2582833
 119  A*11:01-B*15:01-C*04:01-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 1.20003,078
 120  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04-DPB1*02:01  Japan Central 1.2000371
 121  DPA1*03:01-DPB1*02:01  Cameroon Saa 1.2000172
 122  DRB1*01:03-DQB1*05:01-DPB1*02:01  Ireland South 1.2000250
 123  DRB1*03:01-DQB1*02:01-DPB1*02:01  Ireland South 1.2000250
 124  DRB1*03:01-DQB1*02:01-DPB1*02:01  Greece pop3 1.2000246
 125  DRB1*04:05-DQB1*04:01-DPB1*02:01  South Korea pop 1 1.2000324
 126  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  South Korea pop 2 1.2000207
 127  DRB1*08:03-DQB1*06:01-DPB1*02:01  South Korea pop 1 1.2000324
 128  DRB1*10:01-DQA1*01:05-DQB1*05:01-DPB1*02:01  South Korea pop 2 1.2000207
 129  DRB1*11:01-DQA1*05:05-DQB1*03:01-DPB1*02:01  South Korea pop 11 1.2000149
 130  DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  South Korea pop 2 1.2000207
 131  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 1.1765170
 132  A*03:01:01-B*37:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 1.1765170
 133  DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 1.16731,064
 134  DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 1.1633833
 135  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*02:01  Russia Karelia 1.15021,075
 136  DQA1*01:02-DQB1*06:01-DPA1*01:03-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 1.13271,064
 137  DQA1*06:01-DQB1*03:01-DPA1*01:03-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 1.12731,064
 138  DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 1.12011,064
 139  A*24:02-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03-DPB1*02:01  Japan Central 1.1000371
 140  DRB1*01:01-DQB1*05:01-DPB1*02:01  Ireland South 1.1000250
 141  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  South Korea pop 1 1.1000324
 142  DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*02:01  South Korea pop 1 1.1000324
 143  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  South Korea pop 11 1.1000149
 144  A*30:02:01-B*07:02:01-C*07:02:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*02:01:02  South African Black 1.0560142
 145  DRB1*10:01:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 1.0220496
 146  DRB1*10:01:01-DQB1*05:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 1.0180496
 147  DRB1*11:02-DQB1*03:19-DPB1*02:01  Gambia pop 3 1.0167939
 148  A*36:01-B*53:01-C*04:01-DRB1*11:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 1.0000100
 149  DRB1*03:01-DRB3*01:01-DQA1*05:01-DQB1*02:01-DPB1*02:01  USA San Francisco Caucasian 1.0000220
 150  DRB1*03:01-DRB3*01:01-DQA1*05:01-DQB1*02:01-DPB1*02:01  USA San Francisco Caucasian 1.0000220
 151  DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*02:01  South Korea pop 2 1.0000207
 152  DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  South Korea pop 2 1.0000207
 153  DRB1*13:02-DQB1*06:04-DPB1*02:01  Greece pop3 1.0000246
 154  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*02:01:02  Russia Belgorod region 0.9804153
 155  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02-DPB1*02:01  Panama 0.9500462
 156  DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.9372833
 157  DRB1*01:01:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.8990496
 158  DRB1*01:01:01-DQB1*05:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.8700496
 159  A*03:01:01-B*15:01:01-C*03:03:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.8403119
 160  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.8403119
 161  DRB1*13:02-DQA1*01:02-DQB1*06:09-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.8394833
 162  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*02:01  China Zhejiang Han pop 2 0.8381833
 163  DRB1*13:02-DQB1*05:01-DPB1*02:01  Gambia pop 3 0.8268939
 164  DRB1*04:01:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.8040496
 165  DRB1*13:02-DQB1*06:09-DPB1*02:01  Gambia pop 3 0.7906939
 166  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.7810496
 167  A*02:01-B*40:01-C*03:04-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  USA San Diego 0.7810496
 168  DQA1*02:01-DQB1*02:02-DPA1*01:03-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 0.76751,064
 169  DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.7495833
 170  DRB1*07:01:01:01-DQB1*03:03-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.7290496
 171  DRB1*04:06:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.7060496
 172  DRB1*04:06:01-DQB1*03:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.7060496
 173  A*30:01:02-B*81:01-C*04:01:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*02:01:02  South African Black 0.7040142
 174  A*74:01:01-B*35:01:01-C*04:01:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*02:01:02  South African Black 0.7040142
 175  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.6986833
 176  DRB1*14:01:01-DQB1*05:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.6610496
 177  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*11:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.6536153
 178  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.6536153
 179  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQA1*01:03:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.6536153
 180  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*02:01:01-DPB1*02:01  Russia Belgorod region 0.6536153
 181  A*02:06-B*44:02-C*05:01-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*02:01  Nicaragua Managua 0.6494339
 182  DRB1*13:01-DQB1*06:03-DPB1*02:01  Gambia pop 3 0.6440939
 183  A*02:05-B*57:03-C*07:01-DRB1*15:03-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.6390336
 184  A*30:10-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02-DPB1*02:01  Tanzania Maasai 0.6390336
 185  A*31:04-B*35:01-C*15:05-DRB1*13:02-DQB1*06:04-DPB1*02:01  Tanzania Maasai 0.6390336
 186  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.6332833
 187  A*01:01:01-B*15:03:01-C*02:10:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.6250405
 188  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:19  Brazil Barra Mansa Rio State Caucasian 0.6250405
 189  A*03:01-B*35:01-C*04:01-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*02:01  South Africa Worcester 0.6000159
 190  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  South Africa Worcester 0.6000159
 191  A*24:02-B*44:03-C*07:01-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*02:01  South Africa Worcester 0.6000159
 192  A*74:01-B*35:01-C*04:01-DRB1*04:05-DQA1*03:01-DQB1*03:02-DPB1*02:01  South Africa Worcester 0.6000159
 193  DRB1*15:01-DQA1*01:02-DQB1*06:01-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.5993833
 194  DRB1*04:03:01-DQB1*03:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.5930496
 195  A*24:02:01-B*58:01:01-C*07:18:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5883170
 196  A*01:01:01-B*41:02:01-C*17:03:01-DRB1*01:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 197  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*16:02:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 198  A*02:01:01-B*51:01:01-C*02:02:02-DRB1*03:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:19  Brazil Rio de Janeiro Parda 0.5882170
 199  A*02:01:01-B*57:01:01-C*06:02:01-DRB1*09:01:02-DQB1*03:03:02-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 200  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*08:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170

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 2,790) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 28  


   

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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