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 123) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*13:01-DQB1*06:03-DPB1*02:01  Greece pop3 2.3000246
 2  DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  South Korea pop 11 2.0000149
 3  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 4  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.6536153
 5  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*02:01:01-DPB1*02:01  Russia Belgorod region 0.6536153
 6  DRB1*13:01-DQB1*06:03-DPB1*02:01  Gambia pop 3 0.6440939
 7  A*03:01:01-B*53:01:01-C*04:01:01-DRB1*15:06:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 8  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  USA San Diego 0.5210496
 9  A*02:01:09-B*44:05:01-C*02:02:02-DRB1*04:04:01-DQA1*01:03:01-DQB1*06:03:01-DPA1*01:03:05-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 10  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQA1*01:01:01-DQB1*06:03-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 11  A*23:01:01-B*13:02:01-C*12:03:01-DRB1*13:01:01-DQA1*01:01:01-DQB1*06:03-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 12  A*25:01:01-B*38:01:01-C*03:03:01-DRB1*04:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 13  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.4202714
 14  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.3891521
 15  A*11:01:01-B*15:01:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01-DPB1*02:01:02  South African Black 0.3520142
 16  A*34:02:01-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*02:01:02  South African Black 0.3520142
 17  A*02:01:01-B*57:01:01-C*06:02:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 18  A*03:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*02:01:01-DPB1*02:01  Russia Belgorod region 0.3268153
 19  A*03:01:01-B*51:01:01-C*07:01:01-DRB1*03:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*02:01  Russia Belgorod region 0.3268153
 20  A*23:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 21  A*68:01:02-B*27:05:02-C*01:02:01-DRB1*13:01:01-DQA1*03:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 22  A*29:02:01-B*53:01:01-C*04:01:01-DRB1*11:01:02-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 23  A*02:05-B*15:01-C*08:04-DRB1*13:01-DQA1*01:02-DQB1*06:03-DPB1*02:01  South Africa Worcester 0.3000159
 24  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.27231,075
 25  A*02:01-B*39:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  USA San Diego 0.2600496
 26  A*11:01-B*35:03-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  USA San Diego 0.2600496
 27  A*24:02-B*15:01-C*03:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  USA San Diego 0.2600496
 28  A*68:01-B*15:18-C*03:04-DRB1*13:01-DQA1*05:01-DQB1*06:03-DPB1*02:01  USA San Diego 0.2600496
 29  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:01-DQB1*06:03-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.2294218
 30  A*02:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.22541,075
 31  A*11:01-B*44:03-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Nicaragua Managua 0.2165339
 32  A*02:01:01-B*18:01:01-C*03:03:01-DRB1*11:04:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 33  A*02:01:01-B*35:08:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 34  A*02:05:01-B*35:02:01-C*06:02:01-DRB1*11:04:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 35  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 36  A*68:01:01-B*51:75-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:02:02-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 37  A*02:01-B*14:01-C*08:02-DRB1*07:01-DQB1*06:03-DPB1*02:01  Panama 0.1900462
 38  A*02:02-B*57:01-C*06:02-DRB1*04:05-DQB1*06:03-DPB1*02:01  Panama 0.1900462
 39  A*11:01-B*35:03-C*07:02-DRB1*04:03-DQB1*06:03-DPB1*02:01  Panama 0.1900462
 40  A*02:01-B*27:05-C*01:02-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.16931,075
 41  A*01:01-B*08:01-C*07:04-DRB1*13:02-DQB1*06:03-DPB1*02:01  Tanzania Maasai 0.1597336
 42  A*03:01-B*14:02-C*08:02-DRB1*13:01-DQB1*06:03-DPB1*02:01  Tanzania Maasai 0.1597336
 43  A*68:02-B*08:01-C*07:02-DRB1*13:02-DQB1*06:03-DPB1*02:01  Tanzania Maasai 0.1597336
 44  A*02:01-B*35:03-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.1401714
 45  A*03:01-B*35:03-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.1401714
 46  A*11:01-B*37:01-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.1401714
 47  A*24:02-B*40:06-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.1401714
 48  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.118428,927
 49  A*24:02-B*39:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.10801,075
 50  A*02:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.10663,456,066
 51  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.10341,075
 52  A*68:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.09751,075
 53  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.09353,456,066
 54  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.08623,456,066
 55  A*02:01-B*40:01-C*03:04-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.08321,075
 56  A*68:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.07121,075
 57  A*01:01-B*15:01-C*07:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 58  A*01:01-B*35:03-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 59  A*01:01-B*55:01-C*07:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 60  A*02:11-B*35:01-C*04:01-DRB1*13:49-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 61  A*03:01-B*40:01-C*03:04-DRB1*15:01-DQA1*01:02-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 62  A*03:01-B*52:01-C*12:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 63  A*11:01-B*57:01-C*03:04-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 64  A*24:02-B*51:01-C*14:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 65  A*31:01-B*51:01-C*14:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 66  A*33:03-B*51:01-C*07:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 67  A*33:03-B*51:01-C*15:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 68  A*03:01-B*44:02-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 69  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.06543,456,066
 70  A*02:01-B*07:02-C*07:02-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.06341,075
 71  A*03:01-B*07:02-C*07:02-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.06243,456,066
 72  DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.0600833
 73  A*68:01-B*40:01-C*03:04-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.05651,075
 74  A*31:01-B*40:01-C*03:04-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.05651,075
 75  A*03:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.05641,075
 76  A*30:01-B*15:01-C*03:04-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.05641,075
 77  A*68:01-B*27:05-C*01:02-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.05601,075
 78  A*02:01-B*41:02-C*17:01-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.05581,075
 79  A*01:01-B*41:02-C*17:01-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.05561,075
 80  A*01:01-B*08:01-C*07:01-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.05523,456,066
 81  A*24:02-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.05113,456,066
 82  A*02:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.04263,456,066
 83  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.03853,456,066
 84  A*68:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.03443,456,066
 85  A*02:01-B*07:02-C*07:02-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.03323,456,066
 86  A*02:06-B*44:02-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 87  A*11:01-B*44:02-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 88  A*24:02-B*54:01-C*01:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 89  A*24:02-B*54:01-C*01:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 90  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 91  A*24:02-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.02783,456,066
 92  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.02613,456,066
 93  A*68:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.02463,456,066
 94  A*03:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.02093,456,066
 95  A*24:02-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.02093,456,066
 96  DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 0.02091,064
 97  A*32:01-B*40:02-C*02:02-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.02083,456,066
 98  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.02023,456,066
 99  A*01:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.02013,456,066
 100  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.01933,456,066

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 123) 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.
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