Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 1 to 78 (from 78) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*03:01:01  Russian Federation Vologda Region 0.8403119
 2  A*03:01-B*52:01:01-C*12:02:02-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.8403119
 3  DRB1*10:01-DQB1*05:01-DPB1*03:01  Gambia pop 3 0.6548939
 4  A*02:01-B*57:03-C*08:02-DRB1*13:02-DQA1*01:02-DQB1*05:01-DPB1*03:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 5  A*74:01-B*45:01-C*04:01-DRB1*13:01-DQA1*02:01-DQB1*05:01-DPB1*03:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 6  A*23:01-B*18:01-C*05:01-DRB1*10:01-DQB1*05:01-DPB1*03:01  Tanzania Maasai 0.4792336
 7  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 8  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 9  A*02:05:01-B*58:01:01-C*03:02:01-DRB1*13:01:01-DQB1*05:01:01-DPB1*03:01:01  South African Black 0.3520142
 10  A*02:14-B*49:01:01-C*02:02:02-DRB1*03:02:01-DQB1*05:01:01-DPB1*03:01:01  South African Black 0.3520142
 11  A*29:02:01-B*15:03:01-C*04:01:01-DRB1*11:01:02-DQB1*05:01:01-DPB1*03:01:01  South African Black 0.3520142
 12  A*30:02:01-B*57:03:01-C*18:02-DRB1*13:01:01-DQB1*05:01:01-DPB1*03:01:01  South African Black 0.3520142
 13  A*02:01:01-B*14:02:01-C*03:04:01-DRB1*13:02:01-DQA1*01:01:02-DQB1*05:01-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.3268153
 14  A*02:01:01-B*14:02:01-C*07:02:01-DRB1*15:01:01-DQA1*01:01:02-DQB1*05:01-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.3268153
 15  A*03:01:01-B*35:03:01-C*15:02:01-DRB1*01:01:01-DQA1*02:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.3268153
 16  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*02:07-DPB1*03:01  Russia Belgorod region 0.3268153
 17  A*24:02:01-B*07:06-C*15:05:02-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.3268153
 18  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
 19  A*02:01-B*27:05-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*03:01  USA San Diego 0.2600496
 20  A*02:06-B*27:06-C*04:01-DRB1*16:09-DQA1*01:01-DQB1*05:01-DPB1*03:01  USA San Diego 0.2600496
 21  A*03:01-B*27:05-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*03:01  USA San Diego 0.2600496
 22  A*24:02-B*51:01-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*03:01  USA San Diego 0.2600496
 23  A*29:01:01-B*07:05:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.231128,927
 24  A*02:01-B*13:02-C*06:02-DRB1*01:01-DQA1*02:01-DQB1*05:01-DPB1*03:01  Nicaragua Managua 0.2165339
 25  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*03:01  Sri Lanka Colombo 0.2101714
 26  A*02:01:01-B*50:01:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 27  A*03:01:01-B*44:03:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 28  A*11:01:01-B*39:02:02-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 29  A*34:02-B*15:10-C*03:04-DRB1*13:02-DQB1*05:01-DPB1*03:01  Panama 0.1900462
 30  A*01:03-B*47:01-C*06:02-DRB1*01:01-DQB1*05:01-DPB1*03:01  Tanzania Maasai 0.1597336
 31  A*02:01-B*57:03-C*07:01-DRB1*14:54-DQB1*05:01-DPB1*03:01  Tanzania Maasai 0.1597336
 32  A*26:30-B*41:01-C*06:02-DRB1*07:01-DQB1*05:01-DPB1*03:01  Tanzania Maasai 0.1597336
 33  A*30:01-B*35:01-C*07:05-DRB1*13:01-DQB1*05:01-DPB1*03:01  Tanzania Maasai 0.1597336
 34  A*30:02-B*45:01-C*16:04-DRB1*03:01-DQB1*05:01-DPB1*03:01  Tanzania Maasai 0.1597336
 35  A*68:01-B*07:02-C*07:02-DRB1*01:02-DQB1*05:01-DPB1*03:01  Tanzania Maasai 0.1597336
 36  A*68:01-B*40:12-C*06:02-DRB1*01:02-DQB1*05:01-DPB1*03:01  Tanzania Maasai 0.1597336
 37  A*68:02-B*13:02-C*06:02-DRB1*01:02-DQB1*05:01-DPB1*03:01  Tanzania Maasai 0.1597336
 38  A*68:02-B*13:02-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*03:01  Tanzania Maasai 0.1597336
 39  DQB1*05:01-DPB1*03:01:01  China Inner Mongolia Autonomous Region Northeast 0.1520496
 40  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*03:01  Russia Karelia 0.13131,075
 41  A*01:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01-DPB1*03:01  Russia Karelia 0.10791,075
 42  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*03:01  Russia Karelia 0.10261,075
 43  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.096028,927
 44  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.09033,456,066
 45  DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*03:01  Hong Kong Chinese HKBMDR. DQ and DP 0.08121,064
 46  A*02:06-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 47  A*11:01-B*15:05-C*03:03-DRB1*16:09-DQA1*01:02-DQB1*05:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 48  A*29:01-B*07:05-C*15:05-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 49  A*33:03-B*35:01-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 50  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*03:01  Japan pop 17 0.07003,078
 51  A*02:01-B*39:01-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*03:01  Russia Karelia 0.06331,075
 52  A*11:01-B*52:01-C*12:02-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.05793,456,066
 53  A*11:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*03:01  Russia Karelia 0.05741,075
 54  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*03:01  Russia Karelia 0.05701,075
 55  A*31:01-B*15:01-C*03:03-DRB1*10:01-DQB1*05:01-DPB1*03:01  Russia Karelia 0.05651,075
 56  A*03:01-B*44:05-C*02:02-DRB1*01:01-DQB1*05:01-DPB1*03:01  Russia Karelia 0.05651,075
 57  A*68:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*03:01  Russia Karelia 0.05641,075
 58  A*03:123-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*03:01  Russia Karelia 0.05631,075
 59  A*02:01-B*51:01-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.05163,456,066
 60  A*03:01-B*51:01-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.05033,456,066
 61  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.03853,456,066
 62  A*02:01-B*15:01-C*03:04-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.03813,456,066
 63  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.03703,456,066
 64  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.03403,456,066
 65  A*01:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.03383,456,066
 66  DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*03:01  Hong Kong Chinese HKBMDR. DQ and DP 0.03371,064
 67  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.03133,456,066
 68  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 69  A*26:03-B*35:01-C*03:03-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 70  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.02953,456,066
 71  A*11:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.02013,456,066
 72  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.01853,456,066
 73  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.01793,456,066
 74  DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*03:01  Hong Kong Chinese HKBMDR. DQ and DP 0.01401,064
 75  A*02:01-B*27:05-C*02:02-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.01393,456,066
 76  A*32:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.01143,456,066
 77  A*02:01-B*40:01-C*03:04-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.01103,456,066
 78  A*68:01-B*44:02-C*07:04-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.01083,456,066

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).




   

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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