Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 95 (from 95) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01:01-B*56:01:01-C*01:02:01-DRB1*11:03:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Black 2.381073
 2  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Black 2.381073
 3  A*11:01:01-B*55:01:01-C*03:03:01-DRB1*04:03:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Black 2.381073
 4  A*03:01:01-B*15:10:01-C*17:03:01-DRB1*13:03:01-DQB1*03:19:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Rio de Janeiro Black 1.470668
 5  DRB1*16:01-DQB1*05:02-DPB1*10:01  Greece pop3 1.2000246
 6  DPA1*02:01-DPB1*10:01  Spain Navarre Basques 1.1000116
 7  DPA1*02:01:01-DPB1*10:01  Tokelau 1.000050
 8  A*24:02:01-B*35:08:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 9  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Rio de Janeiro Parda 0.5882170
 10  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*02:02:02-DPB1*10:01:01  Brazil Rio de Janeiro Parda 0.5882170
 11  A*23:17:01-B*44:03:01-C*05:01:01-DRB1*09:01:02-DQB1*02:02:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Rio de Janeiro Parda 0.5882170
 12  A*26:01:01-B*57:01:01-C*07:01:01-DRB1*07:01:01-DQB1*03:01:04-DPA1*01:03:01-DPB1*10:01:01  Brazil Rio de Janeiro Parda 0.5882170
 13  DRB1*03:01-DQB1*02:01-DPB1*10:01  Gambia pop 3 0.5806939
 14  DRB1*13:01-DQB1*06:03-DPB1*10:01  Gambia pop 3 0.5806939
 15  DRB1*04:05-DQB1*02:02-DPB1*10:01  Gambia pop 3 0.5080939
 16  A*03:01-B*44:02-C*05:01-DRB1*04:04-DQA1*03:01-DQB1*05:02-DPB1*10:01  Nicaragua Managua 0.4329339
 17  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*10:01  Russian Federation Vologda Region 0.4202119
 18  A*29:02:01-B*45:01:01-C*06:02:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*10:01  Russian Federation Vologda Region 0.4202119
 19  A*02:01:01-B*44:02:01-C*06:02:01-DRB1*11:03-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*10:01  Russia Belgorod region 0.3268153
 20  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*10:01  Russia Belgorod region 0.3268153
 21  A*11:01:01-B*27:02:01-C*07:02:01-DRB1*15:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*02:01:01-DPB1*10:01  Russia Belgorod region 0.3268153
 22  A*25:01:01-B*44:03:01-C*06:02:01-DRB1*07:01:01-DQA1*03:01:01-DQB1*03:03:02-DPA1*02:01:01-DPB1*10:01  Russia Belgorod region 0.3268153
 23  A*68:01:01-B*07:02:01-C*07:01:01-DRB1*08:01:01-DQA1*03:01:01-DQB1*04:02:01-DPA1*02:01:01-DPB1*10:01  Russia Belgorod region 0.3268153
 24  A*02:01:01-B*18:01:01-C*16:02:01-DRB1*08:01:01-DQB1*04:02:01-DPA1*02:01:02-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 25  A*02:01:01-B*35:03:01-C*12:03:08-DRB1*15:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 26  A*02:01:01-B*44:03:01-C*02:02:02-DRB1*01:01:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 27  A*02:01:15-B*50:02-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 28  A*03:01:01-B*51:01:01-C*15:02:01-DRB1*04:07:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 29  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*05:02:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 30  A*11:01:01-B*44:02:01-C*12:02:02-DRB1*11:04:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 31  A*24:02:01-B*39:06:02-C*07:02:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 32  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 33  A*23:01-B*44:03-C*14:02-DRB1*07:01-DQA1*05:01-DQB1*03:01-DPB1*10:01  USA San Diego 0.2600496
 34  A*25:01-B*07:02-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*10:01  USA San Diego 0.2600496
 35  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*10:01  Mexico Chiapas Lacandon Mayans 0.2294218
 36  A*26:01-B*49:01-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:01-DPB1*10:01  Mexico Chiapas Lacandon Mayans 0.2294218
 37  A*68:01:01-B*50:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*10:01:01  Saudi Arabia pop 6 (G) 0.228928,927
 38  DRB1*10:01-DQB1*05:01-DPB1*10:01  Gambia pop 3 0.2177939
 39  A*03:01-B*35:01-C*05:01-DRB1*16:01-DQA1*01:01-DQB1*05:02-DPB1*10:01  Nicaragua Managua 0.2165339
 40  A*11:01-B*07:02-C*07:02-DRB1*04:07-DQA1*02:01-DQB1*02:02-DPB1*10:01  Nicaragua Managua 0.2165339
 41  A*26:01-B*14:01-C*08:02-DRB1*07:01-DQA1*01:03-DQB1*06:03-DPB1*10:01  Nicaragua Managua 0.2165339
 42  A*02:06-B*15:01-C*01:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*10:01  Sri Lanka Colombo 0.2101714
 43  DQB1*02:02-DPB1*10:01  China Inner Mongolia Autonomous Region Northeast 0.2020496
 44  A*29:02:01-B*15:01:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*10:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 45  A*29:02:01-B*53:01:01-C*02:10:01-DRB1*13:02:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*10:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 46  A*32:01:01-B*58:02:01-C*03:03:01-DRB1*11:02:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 47  A*74:03-B*44:03:01-C*16:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 48  A*11:01-B*14:02-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*10:01  Panama 0.1900462
 49  A*11:01-B*51:01-C*07:01-DRB1*04:07-DQB1*03:02-DPB1*10:01  Panama 0.1900462
 50  A*30:01-B*07:02-C*07:10-DRB1*01:03-DQB1*03:02-DPB1*10:01  Panama 0.1900462
 51  A*30:01-B*35:03-C*04:01-DRB1*16:01-DQB1*03:01-DPB1*10:01  Panama 0.1900462
 52  A*32:01-B*35:03-C*07:01-DRB1*16:01-DQB1*05:02-DPB1*10:01  Panama 0.1900462
 53  DRB1*07:01:01:01-DQB1*02:02-DPB1*10:01  China Inner Mongolia Autonomous Region Northeast 0.1270496
 54  DRB1*07:01:01:01-DPB1*10:01  China Inner Mongolia Autonomous Region Northeast 0.1160496
 55  A*26:01-B*40:02-C*01:02-DRB1*08:01-DQB1*04:02-DPB1*10:01  Russia Karelia 0.11291,075
 56  DRB1*04:05-DQB1*02:01-DPB1*10:01  Gambia pop 3 0.0726939
 57  A*02:06-B*58:01-C*03:02-DRB1*10:01-DQA1*05:01-DQB1*05:01-DPB1*10:01  Sri Lanka Colombo 0.0700714
 58  A*02:11-B*18:01-C*07:04-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPB1*10:01  Sri Lanka Colombo 0.0700714
 59  A*03:01-B*51:01-C*04:03-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*10:01  Sri Lanka Colombo 0.0700714
 60  A*11:01-B*38:02-C*07:02-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*10:01  Sri Lanka Colombo 0.0700714
 61  A*23:01-B*07:02-C*15:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*10:01  Sri Lanka Colombo 0.0700714
 62  A*24:02-B*39:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*10:01  Sri Lanka Colombo 0.0700714
 63  A*24:07-B*58:01-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*10:01  Sri Lanka Colombo 0.0700714
 64  A*24:17-B*15:18-C*07:04-DRB1*01:01-DQA1*03:01-DQB1*05:01-DPB1*10:01  Sri Lanka Colombo 0.0700714
 65  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*10:01  Sri Lanka Colombo 0.0700714
 66  A*33:03-B*44:02-C*05:01-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*10:01  Sri Lanka Colombo 0.0700714
 67  A*68:01-B*27:07-C*04:03-DRB1*12:02-DQA1*03:01-DQB1*03:03-DPB1*10:01  Sri Lanka Colombo 0.0700714
 68  DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*02:01-DPB1*10:01  China Zhejiang Han pop 2 0.0600833
 69  DRB1*14:04-DQA1*01:04-DQB1*05:02-DPA1*02:01-DPB1*10:01  China Zhejiang Han pop 2 0.0600833
 70  A*01:01-B*37:01-C*06:02-DRB1*16:01-DQB1*05:02-DPB1*10:01  Russia Karelia 0.05651,075
 71  A*31:01-B*57:01-C*15:05-DRB1*07:01-DQB1*03:03-DPB1*10:01  Russia Karelia 0.05651,075
 72  A*68:01-B*37:01-C*06:02-DRB1*04:04-DQB1*03:02-DPB1*10:01  Russia Karelia 0.05651,075
 73  A*02:01-B*18:03-C*07:01-DRB1*11:04-DQB1*03:01-DPB1*10:01  Russia Karelia 0.05651,075
 74  A*25:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:01-DPB1*10:01  Russia Karelia 0.05651,075
 75  A*68:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01-DPB1*10:01  Russia Karelia 0.05651,075
 76  A*24:02-B*44:05-C*02:02-DRB1*01:01-DQB1*05:01-DPB1*10:01  Russia Karelia 0.05641,075
 77  DQA1*02:01-DQB1*03:03-DPA1*02:01-DPB1*10:01  Hong Kong Chinese HKBMDR. DQ and DP 0.04651,064
 78  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*10:01  Germany DKMS - German donors 0.04023,456,066
 79  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*10:01  Germany DKMS - German donors 0.02353,456,066
 80  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*10:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 81  A*02:01-B*40:01-C*03:04-DRB1*01:01-DQB1*05:01-DPB1*10:01  Germany DKMS - German donors 0.01873,456,066
 82  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*10:01  Germany DKMS - German donors 0.01853,456,066
 83  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*10:01  Germany DKMS - German donors 0.01763,456,066
 84  A*03:01-B*51:01-C*12:03-DRB1*01:01-DQB1*05:01-DPB1*10:01  Germany DKMS - German donors 0.01373,456,066
 85  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*10:01  Germany DKMS - German donors 0.01373,456,066
 86  A*68:01-B*44:05-C*02:02-DRB1*14:01-DQB1*05:03-DPB1*10:01  Germany DKMS - German donors 0.01253,456,066
 87  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*10:01  Germany DKMS - German donors 0.01243,456,066
 88  A*25:01-B*18:01-C*12:03-DRB1*14:01-DQB1*05:03-DPB1*10:01  Germany DKMS - German donors 0.01213,456,066
 89  A*26:01-B*49:01-C*07:01-DRB1*01:01-DQB1*05:01-DPB1*10:01  Germany DKMS - German donors 0.01073,456,066
 90  A*02:01-B*44:05-C*02:02-DRB1*16:01-DQB1*05:02-DPB1*10:01  Germany DKMS - German donors 0.01013,456,066
 91  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*05:01-DPB1*10:01  Germany DKMS - German donors 0.01003,456,066
 92  A*31:01:02-B*35:01:01-C*04:01:01-DRB1*07:01:01-DPB1*10:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00935,266
 93  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DPB1*10:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00915,266
 94  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DPB1*10:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00665,266
 95  A*30:04:01-B*40:01:02-C*17:03:01-DRB1*13:03:01-DPB1*10:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00515,266

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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