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 100 (from 204) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*03:01-DQB1*02:01-DPB1*04:01  Mongolia Tarialan Khoton 13.600085
 2  DRB1*03:01-DQB1*02:01-DPB1*04:01  Ireland South 9.8000250
 3  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Ireland South 8.3000250
 4  DRB1*03:01-DRB3*01:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  USA San Francisco Caucasian 5.7000220
 5  DRB1*03:01-DRB3*01:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  USA San Francisco Caucasian 5.7000220
 6  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  China Canton Han 4.5000264
 7  DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:01  Hong Kong Chinese HKBMDR. DQ and DP 3.94461,064
 8  DQB1*02:01-DPB1*04:01:01  China Inner Mongolia Autonomous Region Northeast 3.9350496
 9  DRB1*03:04-DQB1*02:01-DPB1*04:01  Mongolia Tarialan Khoton 3.700085
 10  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 3.6055833
 11  DRB1*03:01:01:01-DQB1*02:01-DPB1*04:01:01  China Inner Mongolia Autonomous Region Northeast 2.4320496
 12  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  USA San Diego 2.3440496
 13  DRB1*03:01-DQB1*02:01-DPB1*04:01  South Korea pop 1 2.0000324
 14  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 1.96533,456,066
 15  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 1.84081,075
 16  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Russia Karelia 1.81111,075
 17  DRB1*03:01:01-DQB1*02:01-DPB1*04:01  China Lijiang Naxi 1.8000100
 18  DRB1*07:01:01:01-DQB1*02:01-DPB1*04:01:01  China Inner Mongolia Autonomous Region Northeast 1.7280496
 19  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  South Korea pop 11 1.7000149
 20  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*04:01:01  Brazil Barra Mansa Rio State Caucasian 1.5625405
 21  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  South Korea pop 1 1.5000324
 22  DRB1*03:01-DQB1*02:01-DPB1*04:01  Greece pop3 1.5000246
 23  A*03:01:01-B*35:01:01-C*07:02:01-DRB1*01:03:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 24  DRB1*07:01-DQB1*02:01-DPB1*04:01  Greece pop3 1.4000246
 25  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 1.2605714
 26  DRB1*03:01-DQA1*05:01:01-DQB1*02:01-DPB1*04:01  South Korea pop 2 1.2000207
 27  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*04:01:01  Brazil Rio de Janeiro Caucasian 1.1674521
 28  A*03:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.8403119
 29  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.807228,927
 30  A*24:02:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.667228,927
 31  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.6536153
 32  A*01:01:01-B*49:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 33  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*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 34  A*02:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 35  A*24:02:01-B*51:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 36  A*68:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.614928,927
 37  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.593328,927
 38  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 39  A*24:314-B*18:01:01-C*12:03:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:04-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 40  A*30:01:01-B*51:01:01-C*07:01:01-DRB1*11:02:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 41  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
 42  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Nicaragua Managua 0.4329339
 43  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 44  A*26:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 45  A*68:01:02-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*04:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 46  A*24:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.41011,075
 47  A*02:01:01-B*18:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 48  A*01:01-B*08:01-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Panama 0.3800462
 49  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.359228,927
 50  A*02:02:01-B*39:10:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  South African Black 0.3520142
 51  A*30:02:01-B*57:02:01-C*15:05:02-DRB1*11:01:02-DQB1*02:01:01-DPB1*04:01:01  South African Black 0.3520142
 52  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.33861,075
 53  A*25:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.33661,075
 54  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*03:01-DQA1*01:03:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 55  A*03:01:01-B*15:01:01-C*03:03:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 56  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 57  A*24:02:01-B*51:01:01-C*04:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 58  A*24:02:01-B*58:01:01-C*04:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 59  A*25:01:01-B*27:12-C*12:03:01-DRB1*11:04-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 60  A*31:01:02-B*55:01:01-C*07:01:01-DRB1*01:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*02:06-DPB1*04:01:01  Russia Belgorod region 0.3268153
 61  A*23:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.325228,927
 62  A*24:02:01-B*50:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 63  A*30:02:01-B*57:03:01-C*18:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 64  A*03:01-B*47:01-C*12:02-DRB1*04:03-DQA1*05:01-DQB1*02:01-DPB1*04:01  South Africa Worcester 0.3000159
 65  A*66:01-B*81:01-C*18:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  South Africa Worcester 0.3000159
 66  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  USA San Diego 0.2600496
 67  A*03:02-B*50:01-C*15:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  USA San Diego 0.2600496
 68  A*30:02-B*52:01-C*12:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  USA San Diego 0.2600496
 69  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  USA San Diego 0.2600496
 70  A*33:03-B*58:01-C*03:02-DRB1*03:81-DQA1*05:01-DQB1*02:01-DPB1*04:01  USA San Diego 0.2600496
 71  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.23953,456,066
 72  A*02:01-B*14:02-C*02:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPB1*04:01  Nicaragua Managua 0.2165339
 73  A*29:02-B*15:10-C*03:04-DRB1*04:10-DQA1*05:01-DQB1*02:01-DPB1*04:01  Nicaragua Managua 0.2165339
 74  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.19793,456,066
 75  A*03:01:01-B*14:02:01-C*08:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 76  A*03:01:01-B*50:01:01-C*08:01:01-DRB1*12:02:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 77  A*25:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 78  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 79  A*02:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.192528,927
 80  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.19011,075
 81  A*01:02-B*39:01-C*02:05-DRB1*07:01-DQB1*02:01-DPB1*04:01  Panama 0.1900462
 82  A*03:01-B*44:02-C*15:02-DRB1*03:01-DQB1*02:01-DPB1*04:01  Panama 0.1900462
 83  A*11:01-B*58:01-C*03:02-DRB1*01:01-DQB1*02:01-DPB1*04:01  Panama 0.1900462
 84  A*24:02-B*08:01-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Panama 0.1900462
 85  A*33:01-B*08:01-C*08:02-DRB1*03:01-DQB1*02:01-DPB1*04:01  Panama 0.1900462
 86  A*36:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Panama 0.1900462
 87  A*68:02-B*58:01-C*07:01-DRB1*13:03-DQB1*02:01-DPB1*04:01  Panama 0.1900462
 88  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.18803,456,066
 89  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.183228,927
 90  A*33:03:01-B*58:01:01-C*03:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.173628,927
 91  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.16931,075
 92  A*24:02-B*07:02-C*07:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.16801,075
 93  A*01:09-B*41:01-C*17:30-DRB1*15:03-DQB1*02:01-DPB1*04:01  Tanzania Maasai 0.1597336
 94  A*02:01-B*14:02-C*03:04-DRB1*03:01-DQB1*02:01-DPB1*04:01  Tanzania Maasai 0.1597336
 95  A*02:01-B*49:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Tanzania Maasai 0.1597336
 96  A*24:02-B*18:01-C*07:91-DRB1*03:01-DQB1*02:01-DPB1*04:01  Tanzania Maasai 0.1597336
 97  A*24:02-B*27:03-C*07:22-DRB1*03:01-DQB1*02:01-DPB1*04:01  Tanzania Maasai 0.1597336
 98  A*26:30-B*35:01-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Tanzania Maasai 0.1597336
 99  A*26:30-B*45:01-C*06:02-DRB1*08:04-DQB1*02:01-DPB1*04:01  Tanzania Maasai 0.1597336
 100  A*29:02-B*53:01-C*06:76-DRB1*03:01-DQB1*02:01-DPB1*04:01  Tanzania Maasai 0.1597336

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 204) records   Pages: 1 2 3 of 3  


   

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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