Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 87 (from 87) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*40:02-C*15:02-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 2.7523218
 2  A*68:02:01-B*35:03:01-C*04:01:01-DRB1*12:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 2.381073
 3  A*02:01:01-B*51:01:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 1.1765170
 4  A*02:01:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.9804153
 5  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*04:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.7782521
 6  A*03:01:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.6536153
 7  A*02:01:01-B*27:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 8  A*02:05:01-B*08:01:01-C*15:02:01-DRB1*03:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 9  A*03:01:01-B*51:01:01-C*16:04:01-DRB1*07:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 10  A*26:01:01-B*35:03:01-C*12:03:01-DRB1*15:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 11  A*31:15-B*15:05:01-C*01:02:30-DRB1*07:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 12  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*04:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 13  A*68:01:02-B*35:08:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 14  A*74:01:01-B*55:01:01-C*01:02:01-DRB1*13:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 15  A*01:01:01-B*51:01:01-C*01:02:01-DRB1*11:04:01-DQA1*01:02:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 16  A*02:01:01-B*07:02:01-C*02:02:02-DRB1*04:01:01-DQA1*03:03:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 17  A*02:01:01-B*35:02:01-C*07:01:01-DRB1*15:01:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 18  A*02:01:01-B*35:03:01-C*03:04:01-DRB1*04:01:01-DQA1*01:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 19  A*02:17:02-B*27:05:02-C*15:02:01-DRB1*12:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 20  A*03:01:01-B*41:02:01-C*17:03:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 21  A*03:01:01-B*44:02:01-C*05:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 22  A*11:01-B*35:01:01-C*14:02:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 23  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:01:01-DQA1*03:01:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 24  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 25  A*24:02:01-B*35:03:01-C*04:01:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 26  A*30:01:01-B*13:02:01-C*04:01:01-DRB1*11:01:01-DQA1*01:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 27  A*02:01:01-B*35:03:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 28  A*03:01:01-B*39:01:01-C*12:03:01-DRB1*12:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 29  A*24:02:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 30  A*01:01:01-B*44:03:01-C*15:02:01-DRB1*11:04:01-DQA1*03:01:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 31  A*02:01:01-B*07:02:01-C*17:03:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 32  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*04:01:01-DQA1*03:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 33  A*02:06:01-B*40:02:01-C*03:04:01-DRB1*11:01:01-DQA1*03:02-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 34  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*08:01-DQA1*03:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 35  A*11:01:01-B*08:01:01-C*07:01:01-DRB1*04:07:01-DQA1*03:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 36  A*11:01:01-B*51:01:01-C*03:03:01-DRB1*15:01:01-DQA1*06:01:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 37  A*24:02:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQA1*01:02:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 38  A*24:02:01-B*18:01:01-C*12:03:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 39  A*24:02:01-B*41:02:01-C*17:03:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 40  A*24:02:01-B*51:01:01-C*02:02:02-DRB1*04:07:01-DQA1*01:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 41  A*25:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 42  A*29:02:01-B*44:02:01-C*01:02:01-DRB1*12:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 43  A*30:01:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 44  A*31:01:02-B*40:02:01-C*01:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 45  A*68:01:01-B*27:02:01-C*02:02:02-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 46  A*68:01:02-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQA1*03:02-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 47  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 48  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 49  A*02:01:01-B*15:04:01-C*03:03:01-DRB1*03:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 50  A*02:01:01-B*35:08:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 51  A*02:01:01-B*41:02:01-C*04:01:01-DRB1*13:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 52  A*02:01:01-B*52:01:02-C*15:02:01-DRB1*15:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 53  A*03:01:01-B*37:01:01-C*06:02:01-DRB1*14:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 54  A*11:01:01-B*15:09:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 55  A*11:01:01-B*58:01:01-C*07:18:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 56  DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 0.2451833
 57  A*24:02-B*35:12-C*04:01-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 58  A*24:02-B*40:02-C*15:02-DRB1*14:06-DQA1*05:01-DQB1*03:01-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 59  A*01:01:01-B*41:01:01-C*07:01:01-DRB1*13:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 60  A*02:01:01-B*15:13:01-C*06:02:01-DRB1*12:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 61  A*02:04-B*57:01:01-C*15:02:01-DRB1*14:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 62  A*02:05:01-B*18:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 63  A*03:01:01-B*15:01:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 64  A*03:01:01-B*39:10:01-C*07:02:01-DRB1*12:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 65  A*03:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 66  A*03:01:01-B*53:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 67  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*04:08:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 68  A*24:02:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 69  A*30:01:01-B*41:01:01-C*07:01:01-DRB1*13:14:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 70  A*30:01:01-B*41:01:01-C*16:02:01-DRB1*04:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 71  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*04:07:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 72  A*32:01:01-B*35:02:01-C*08:02:01-DRB1*07:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 73  DRB1*04:01-DQA1*03:03-DQB1*03:01-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 0.1800833
 74  DRB1*12:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 0.1788833
 75  DQA1*06:01-DQB1*03:01-DPA1*01:03-DPB1*04:01  Hong Kong Chinese HKBMDR. DQ and DP 0.17141,064
 76  DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:01  Hong Kong Chinese HKBMDR. DQ and DP 0.10351,064
 77  DRB1*11:01-DQA1*05:09-DQB1*03:01-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 0.0600833
 78  DQA1*03:03-DQB1*03:01-DPA1*01:03-DPB1*04:01  Hong Kong Chinese HKBMDR. DQ and DP 0.05501,064
 79  DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 0.0529833
 80  A*24:02-B*15:01-C*03:03-DRB1*12:01-DQA1*05:08-DQB1*03:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 81  A*24:02-B*40:02-C*03:04-DRB1*04:01-DQA1*03:03-DQB1*03:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 82  A*24:02-B*40:06-C*08:01-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 83  A*26:03-B*40:02-C*03:03-DRB1*04:01-DQA1*03:03-DQB1*03:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 84  A*31:01-B*51:01-C*14:02-DRB1*14:03-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 85  A*31:01-B*56:01-C*07:02-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 86  A*33:03-B*15:18-C*07:04-DRB1*04:01-DQA1*03:03-DQB1*03:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 87  A*33:03-B*46:01-C*01:02-DRB1*04:01-DQA1*03:03-DQB1*03:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078

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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