Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Displaying 1 to 100 (from 128) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01/02:02  South Korea pop 3 2.7000485
 2  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Korean 2.258577,584
 3  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Chinese 2.025499,672
 4  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 1.84081,075
 5  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 1.25101,159
 6  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Southeast Asian 0.989427,978
 7  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP South Asian Indian 0.9874185,391
 8  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Middle Eastern or North Coast of Africa 0.983870,890
 9  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.98204,856
 10  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.97801,772
 11  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.77301,159
 12  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.69104,856
 13  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.66192,492
 14  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP European Caucasian 0.63911,242,890
 15  A*02:01-B*13:02-C*06:02-DRB1*07:01:01-DQB1*02:01  England North West 0.5000298
 16  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.47851,463
 17  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.46801,999
 18  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.46493,456,066
 19  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:02  Russia Karelia 0.45831,075
 20  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Hispanic South or Central American 0.4457146,714
 21  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Mexican or Chicano 0.4443261,235
 22  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.43065,926
 23  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.4210356
 24  A*02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 25  A*24:02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 26  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP North American Amerindian 0.411435,791
 27  A*24:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.41011,075
 28  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Vietnamese 0.403543,540
 29  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.39735,926
 30  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA NMDP Alaska Native or Aleut 0.36171,376
 31  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*17:01  Russia Karelia 0.29401,075
 32  A*24:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.24904,856
 33  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Filipino 0.236150,614
 34  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Caribean Hispanic 0.2287115,374
 35  A*30:02:01-B*13:02:01-C*06:02:01-DRB1*07:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 36  A*24:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*17:01  Russia Karelia 0.21941,075
 37  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*17:01  Germany DKMS - German donors 0.21613,456,066
 38  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA NMDP Alaska Native or Aleut 0.20771,376
 39  A*01:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.19404,856
 40  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:02  Russia Karelia 0.19311,075
 41  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.19011,075
 42  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.17402,411
 43  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.15943,456,066
 44  A*24:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.15501,159
 45  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA NMDP Black South or Central American 0.15494,889
 46  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*17:01:01  Saudi Arabia pop 6 (G) 0.152128,927
 47  A*01:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.15201,159
 48  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Japanese 0.142324,582
 49  A*03:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.14001,999
 50  A*24:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*17:01  Germany DKMS - German donors 0.13733,456,066
 51  A*03:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.13604,856
 52  A*01:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.13541,075
 53  A*74:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.13102,411
 54  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*17:01  Germany DKMS - German donors 0.13083,456,066
 55  A*68:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.11804,856
 56  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP African American pop 2 0.1174416,581
 57  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*23:01  Russia Karelia 0.11611,075
 58  A*01:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.11602,492
 59  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Caribean Black 0.114233,328
 60  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.111928,927
 61  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.10903,456,066
 62  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*11:01  Russia Karelia 0.10881,075
 63  A*24:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.10862,492
 64  A*01:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.10251,463
 65  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:02  Germany DKMS - German donors 0.10243,456,066
 66  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.09521,075
 67  A*29:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.09401,999
 68  A*01:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*17:01  Russia Karelia 0.09011,075
 69  A*03:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.09002,492
 70  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.08901,772
 71  A*02:06-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.08901,772
 72  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP African 0.088328,557
 73  A*68:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.08702,411
 74  A*26:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.08601,159
 75  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.08583,456,066
 76  A*24:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.07983,456,066
 77  A*11:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.07904,856
 78  A*26:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.07704,856
 79  A*01:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.06943,456,066
 80  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*03:01  Russia Karelia 0.06381,075
 81  A*24:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:02  Russia Karelia 0.06011,075
 82  A*25:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*17:01  Russia Karelia 0.05911,075
 83  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:02  Germany DKMS - German donors 0.05483,456,066
 84  A*66:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.05304,856
 85  A*11:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.05201,159
 86  A*03:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.04773,456,066
 87  A*01:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 88  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 89  A*03:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 90  A*31:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 91  A*32:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 92  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.04613,456,066
 93  A*03:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.04404,856
 94  A*03:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.04401,772
 95  A*33:03-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.04401,772
 96  A*02:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.04361,510
 97  A*03:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*17:01  Germany DKMS - German donors 0.04243,456,066
 98  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.04173,456,066
 99  A*32:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.04012,492
 100  A*01:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*17:01  Germany DKMS - German donors 0.03943,456,066

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 128) records   Pages: 1 2 of 2  


   

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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