Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 131) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DQB1*02:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 2.2100496
 2  DRB1*07:01-DQB1*02:01-DPB1*02:01  Greece pop3 1.6000246
 3  DRB1*03:01:01:01-DQB1*02:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 1.5910496
 4  A*01:01:01-B*81:01:01-C*18:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 5  DRB1*07:01-DQA1*02:01-DQB1*02:01-DPB1*02:01  China Canton Han 1.4000264
 6  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
 7  DRB1*03:01-DQB1*02:01-DPB1*02:01  Greece pop3 1.2000246
 8  DRB1*03:01-DQB1*02:01-DPB1*02:01  Ireland South 1.2000250
 9  DRB1*03:01-DRB3*01:01-DQA1*05:01-DQB1*02:01-DPB1*02:01  USA San Francisco Caucasian 1.0000220
 10  DRB1*03:01-DRB3*01:01-DQA1*05:01-DQB1*02:01-DPB1*02:01  USA San Francisco Caucasian 1.0000220
 11  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
 12  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.6332833
 13  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
 14  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
 15  A*30:02:01-B*08:01:01-C*07:18:01-DRB1*15:02:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 16  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Panama 0.5700462
 17  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.515428,927
 18  A*03:01-B*53:01-C*06:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 19  A*31:04-B*51:01-C*16:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 20  DRB1*07:01:01:01-DQB1*02:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.4760496
 21  DRB1*03:01-DQB1*02:01-DPB1*02:01  Gambia pop 3 0.4611939
 22  A*01:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 23  A*33:03:01-B*58:01:01-C*02:02:02-DRB1*11:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 24  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.41153,456,066
 25  DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 0.40781,064
 26  A*32:01:01-B*14:02:01-C*08:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.3891521
 27  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.38901,075
 28  A*03:01:01-B*58:02:01-C*06:02:01-DRB1*11:01:02-DQB1*02:01:01-DPB1*02:01:02  South African Black 0.3520142
 29  A*30:02:01-B*58:01:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:02  South African Black 0.3520142
 30  A*68:02:01-B*45:01:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:19  South African Black 0.3520142
 31  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.330928,927
 32  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 33  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*08:03:02-DQA1*06:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 34  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 Barra Mansa Rio State Caucasian 0.3125405
 35  A*02:01:01-B*14:02:01-C*03:03:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 36  A*02:01:01-B*44:03:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 37  A*02:01:02-B*35:02:01-C*04:01:01-DRB1*14:02:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 38  A*24:02:01-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 Barra Mansa Rio State Caucasian 0.3125405
 39  A*68:02:01-B*15:10:01-C*03:04:02-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 40  A*03:01-B*08:01-C*06:02-DRB1*03:01-DQA1*04:01-DQB1*02:01-DPB1*02:01  South Africa Worcester 0.3000159
 41  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.28861,075
 42  A*02:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.28531,075
 43  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.28233,456,066
 44  A*33:01-B*14:02-C*12:03-DRB1*11:04-DQA1*05:01-DQB1*02:01-DPB1*02:01  USA San Diego 0.2600496
 45  A*33:03:01-B*58:01:01-C*03:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.255128,927
 46  A*01:01-B*57:01-C*06:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01  Sri Lanka Colombo 0.2101714
 47  A*01:01:01-B*51:01:01-C*07:01:02-DRB1*15:03:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 48  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 49  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*04:05:01-DQB1*02:01:01-DPA1*02:01:08-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 50  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 51  A*24:02:01-B*41:02:01-C*17:03:01-DRB1*10:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 52  A*02:01:01-B*58:01:01-C*03:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.193528,927
 53  A*02:01-B*18:01-C*05:01-DRB1*07:01-DQB1*02:01-DPB1*02:01  Panama 0.1900462
 54  A*02:02-B*41:01-C*17:01-DRB1*04:05-DQB1*02:01-DPB1*02:01  Panama 0.1900462
 55  A*23:01-B*07:02-C*03:04-DRB1*07:01-DQB1*02:01-DPB1*02:01  Panama 0.1900462
 56  A*24:02-B*35:02-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Panama 0.1900462
 57  A*30:02-B*52:01-C*12:02-DRB1*03:01-DQB1*02:01-DPB1*02:01  Panama 0.1900462
 58  A*33:01-B*58:01-C*03:02-DRB1*04:04-DQB1*02:01-DPB1*02:01  Panama 0.1900462
 59  A*68:01-B*35:02-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Panama 0.1900462
 60  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.164128,927
 61  A*31:01:02-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.162728,927
 62  A*02:01-B*14:02-C*08:02-DRB1*03:01-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 63  A*02:01-B*57:03-C*16:04-DRB1*03:01-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 64  A*02:02-B*42:02-C*17:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 65  A*03:26-B*15:03-C*02:09-DRB1*03:01-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 66  A*23:01-B*47:03-C*06:02-DRB1*13:02-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 67  A*26:30-B*44:03-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 68  A*30:04-B*44:03-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 69  A*34:02-B*39:10-C*12:03-DRB1*03:01-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 70  A*68:02-B*57:03-C*07:01-DRB1*15:03-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 71  A*68:02-B*58:01-C*15:05-DRB1*13:02-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 72  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.159128,927
 73  A*23:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.153228,927
 74  DRB1*13:04-DQB1*02:01-DPB1*02:01  Gambia pop 3 0.1451939
 75  A*02:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.130428,927
 76  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.115728,927
 77  A*11:01-B*35:01-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.11291,075
 78  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
 79  A*01:01-B*08:01-C*07:01-DRB1*07:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.10491,075
 80  DRB1*03:06-DQB1*02:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1010496
 81  DRB1*04:05:01-DQB1*02:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1010496
 82  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.09521,075
 83  A*68:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.094528,927
 84  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
 85  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*02:02-DPB1*02:01  China Zhejiang Han pop 2 0.0744833
 86  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.07273,456,066
 87  DRB1*08:04-DQB1*02:01-DPB1*02:01  Gambia pop 3 0.0726939
 88  DRB1*13:03-DQB1*02:01-DPB1*02:01  Gambia pop 3 0.0726939
 89  A*01:01-B*58:01-C*03:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 90  A*02:01-B*18:01-C*12:03-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 91  A*02:01-B*37:01-C*06:02-DRB1*03:01-DQA1*01:01-DQB1*02:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 92  A*02:01-B*40:06-C*15:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 93  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 94  A*33:03-B*58:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 95  A*31:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.05651,075
 96  A*01:01-B*55:01-C*03:03-DRB1*07:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.05651,075
 97  A*11:01-B*41:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.05651,075
 98  A*03:01-B*35:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.05651,075
 99  A*31:01-B*07:02-C*07:02-DRB1*03:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.05651,075
 100  A*01:01-B*45:01-C*07:02-DRB1*07:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.05641,075

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 131) 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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