Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 533) records   Pages: 1 2 3 4 5 6 of 6  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*04:03:01-DPB1*05:01  Taiwan Paiwan pop 2 8.200050
 2  DRB1*04:03:01-DQB1*03:02/03:07-DPB1*04:02  Mexico Chihuahua Tarahumara 3.400044
 3  A*11:01:01-B*55:01:01-C*03:03:01-DRB1*04:03:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Black 2.381073
 4  DRB1*04:03:01-DPB1*05:01  Taiwan Saisiat pop 2 2.200050
 5  DRB1*04:03:01-DPB1*05:01  Taiwan Puyuma pop 2 2.100050
 6  A*68:01:02-B*40:02:01-C*03:05-DRB1*04:03:01  Nicaragua Mestizo (G) 1.5852155
 7  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 1.4370174
 8  A*02:01:01-B*39:01:01-C*07:01:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 1.388972
 9  DRB1*04:03:01-DPB1*05:01  Taiwan Orchid Island Yami 1.300050
 10  A*32:01:01-B*42:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 1.1765170
 11  DRB1*04:03:01-DQB1*03:02:01  India Mumbai Maratha 1.160091
 12  A*24:02:01-B*52:01:01-C*12:02-DRB1*04:03:01  South Africa Caucasians 1.1100102
 13  DRB1*04:03:01-DQB1*03:02  China Inner Mongolia Autonomous Region Northeast 1.1090496
 14  DRB1*04:03:01-DPB1*05:01  Taiwan Ami pop 2 1.100050
 15  DRB1*04:03:01-DPB1*05:01  Taiwan Atayal pop 2 1.100050
 16  DRB1*04:03:01-DPB1*05:01  Taiwan Han 1.100050
 17  A*26:01:01-B*51:01:01-C*16:02:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 1.0753186
 18  A*01:01:01-B*13:02-DRB1*04:03:01  Portugal Center 1.000050
 19  A*02:01:01-B*50:02-DRB1*04:03:01  Portugal South 1.000049
 20  A*31:01:02-B*57:01:01-DRB1*04:03:01  Portugal South 1.000049
 21  DRB1*04:03:01-DPB1*05:01  Taiwan Bunun pop 2 1.000050
 22  A*68:01:02-B*40:02:01-C*03:05-DRB1*04:03:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.9050221
 23  A*02:06:01-B*40:02:01-C*03:05-DRB1*04:03:01  Costa Rica Amerindians (G) 0.8065125
 24  A*01:01:01-B*39:01:01-C*07:01:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 25  A*02:01:01-B*35:02:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 26  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 27  A*23:01:01-B*58:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 28  A*68:01:01-B*40:02:01-C*03:02:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 29  A*68:03:01-B*51:01:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 30  A*02:01:01-B*51:01:01-C*15:09-DRB1*04:03:01  Nicaragua Mestizo (G) 0.6452155
 31  DRB1*04:03:01-DQB1*03:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.5930496
 32  A*30:02:01-B*35:01:01-C*17:01:01-DRB1*04:03:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 33  A*74:01:01-B*81:01:01-C*02:10:01-DRB1*04:03:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Parda 0.5882170
 34  A*01:01:01-B*35:03:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.5750174
 35  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.5750174
 36  A*26:01:01-B*35:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.5750174
 37  DRB1*04:03:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.5700496
 38  A*26:01:01-B*15:18:01-C*07:04:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.5620356
 39  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.5376186
 40  A*11:01:01-B*51:01:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.5376186
 41  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.5376186
 42  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.5376186
 43  A*24:07:01-B*52:01:01-C*12:02:02-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.5376186
 44  A*68:01:02-B*40:06:01-C*15:07-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.5376186
 45  A*11:01:01-B*18:01:01-C*15:02:01-DRB1*04:03:01  China Jingpo Minority 0.5210105
 46  A*11:01:01-B*18:01:01-DRB1*04:03:01  China Jingpo Minority 0.5210105
 47  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*04:03:01  China Jingpo Minority 0.5210105
 48  A*11:01:01-B*40:01:02-DRB1*04:03:01  China Jingpo Minority 0.5210105
 49  B*18:01:01-C*15:02:01-DRB1*04:03:01  China Jingpo Minority 0.5210105
 50  B*18:01:01-DRB1*04:03:01  China Jingpo Minority 0.5210105
 51  B*40:01:02-C*03:04:01-DRB1*04:03:01  China Jingpo Minority 0.5210105
 52  B*40:01:02-DRB1*04:03:01  China Jingpo Minority 0.5210105
 53  A*11:01:01-C*03:04:01-DRB1*04:03:01  China Jingpo Minority 0.5150105
 54  A*11:01:01-C*15:02:01-DRB1*04:03:01  China Jingpo Minority 0.5150105
 55  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  Vietnam Kinh 0.4950101
 56  A*24:02:01-B*35:01:01-C*03:03:01-DRB1*04:03:01-DQB1*03:02:01  Vietnam Kinh 0.4950101
 57  A*24:02:01-B*40:01:02-C*04:03:01-DRB1*04:03:01-DQB1*03:02:01  Vietnam Kinh 0.4950101
 58  A*23:01:01-B*35:43:01-C*01:02:01-DRB1*04:03:01  Costa Rica African -Caribbean (G) 0.4902102
 59  A*24:02:01-B*51:01:01-C*15:09-DRB1*04:03:01  Costa Rica African -Caribbean (G) 0.4902102
 60  A*02:01:01-B*40:02:01-C*03:05-DRB1*04:03:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 61  A*31:01:02-B*40:08-C*03:04:01-DRB1*04:03:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 62  A*68:03:01-B*35:43:01-C*01:02:01-DRB1*04:03:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 63  A*24:02:01-B*40:02:01-C*03:05-DRB1*04:03:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.4525221
 64  A*24:02:01-B*52:01:01-C*12:02:02-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.4210356
 65  A*01:01:01-B*55:01:01-C*03:03:01-DRB1*04:03:01  Costa Rica Amerindians (G) 0.4032125
 66  A*68:01:01-B*07:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.392128,927
 67  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*04:03:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 68  A*68:03:01-B*35:43:01-C*01:02:01-DRB1*04:03:01  Nicaragua Mestizo (G) 0.3502155
 69  A*01:01:01-B*57:01:01-C*04:01:01-DRB1*04:03:01-DQA1*02:01:01-DQB1*03:02-DPA1*02:01:01-DPB1*13:01:01  Russia Belgorod region 0.3268153
 70  A*29:01:01-B*07:05:01-C*08:02:01-DRB1*04:03:01-DQA1*03:01:01-DQB1*03:05:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 71  A*01:01:01-B*52:01:01-C*12:02:02-DRB1*04:03:01  Nicaragua Mestizo (G) 0.3226155
 72  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:03:01  Nicaragua Mestizo (G) 0.3226155
 73  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*04:03:01  Nicaragua Mestizo (G) 0.3226155
 74  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*04:03:01  Nicaragua Mestizo (G) 0.3226155
 75  A*24:02:01-B*40:02:01-C*03:05-DRB1*04:03:01  Nicaragua Mestizo (G) 0.3226155
 76  A*26:01:01-B*51:01:01-C*15:09-DRB1*04:03:01  Nicaragua Mestizo (G) 0.3226155
 77  A*31:01:02-B*40:01:01-C*03:04:01-DRB1*04:03:01  Nicaragua Mestizo (G) 0.3226155
 78  A*68:01:02-B*48:01:01-C*08:01:01-DRB1*04:03:01  Nicaragua Mestizo (G) 0.3226155
 79  A*26:01:01-B*51:01:01-C*15:04:01-DRB1*04:03:01-DQB1*03:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.313028,927
 80  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*04:03:01-DQB1*03:01:04-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 81  A*24:02:01-B*44:05:01-C*16:02:01-DRB1*04:03:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 82  A*32:01:01-B*07:02:01-C*06:02:01-DRB1*04:03:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 83  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.3110356
 84  A*01:01:01-B*15:17:01-C*12:02:01-DRB1*04:03:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 85  A*02:11:01-B*08:01:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 86  A*02:16-B*52:01:01-C*12:02:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 87  A*03:01:01-B*44:03:02-C*07:06-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 88  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 89  A*24:02:01-B*44:03:02-C*03:04:01-DRB1*04:03:01-DQB1*03:01:01  India Karnataka Kannada Speaking 0.2870174
 90  A*24:02:05-B*18:01:01-C*03:03:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 91  A*24:07:01-B*51:01:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 92  A*29:01:01-B*35:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 93  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 94  A*31:01:02-B*18:01:01-C*07:01:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 95  A*33:03:01-B*07:05:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 96  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
 97  A*33:03:01-B*38:01:01-C*07:02:01-DRB1*04:03:01-DQB1*03:03:02  India Karnataka Kannada Speaking 0.2870174
 98  A*33:03:01-B*50:01:01-C*06:02:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 99  A*33:03:01-B*58:01:01-C*03:02:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 100  A*68:01:02-B*15:18:01-C*16:02:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174

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 1 to 100 (from 533) records   Pages: 1 2 3 4 5 6 of 6  


   

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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