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 68 (from 68) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*03-DRB3*01-DQA1*05-DQB1*02-DPB1*04  USA San Francisco Caucasian 6.8000220
 2  DRB1*03:01-DRB3*01:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  USA San Francisco Caucasian 5.7000220
 3  DRB1*03:01-DRB3*01:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  USA San Francisco Caucasian 5.7000220
 4  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  China Canton Han 4.5000264
 5  DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:01  Hong Kong Chinese HKBMDR. DQ and DP 3.94461,064
 6  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 3.6055833
 7  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
 8  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  South Korea pop 11 1.7000149
 9  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  South Korea pop 1 1.5000324
 10  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
 11  DRB1*03:01-DQA1*05:01:01-DQB1*02:01-DPB1*04:01  South Korea pop 2 1.2000207
 12  A*30:02-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 1.0000100
 13  DRB1*03:01-DRB3*01:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  USA San Francisco Caucasian 1.0000220
 14  DRB1*03:01-DRB3*01:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  USA San Francisco Caucasian 1.0000220
 15  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
 16  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
 17  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*04:02  Russia Belgorod region 0.6536153
 18  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  USA San Diego 0.5210496
 19  A*30:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 20  A*30:02-B*15:10-C*03:04-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 21  A*32:01-B*18:01-C*17:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 22  A*01:01-B*81:01-C*18:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  Nicaragua Managua 0.4329339
 23  A*24:02-B*44:02-C*05:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  Nicaragua Managua 0.4329339
 24  A*33:01-B*14:02-C*04:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  Nicaragua Managua 0.4329339
 25  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
 26  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
 27  A*03:01:01-B*08:01:01-C*07:01:01-DRB1*14:04:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:02:01  Russian Federation Vologda Region 0.4202119
 28  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
 29  A*01:01:01-B*07:02:01-C*07:01:01-DRB1*07:01:01-DQA1*05:05:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 30  A*02:01:01-B*08:01:01-C*16:02:01-DRB1*13:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 0.3268153
 31  A*02:01:01-B*35:03:01-C*12:03:01-DRB1*07:01:01-DQA1*05:05:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:02:01  Russia Belgorod region 0.3268153
 32  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
 33  A*24:02:01-B*18:01:01-C*05:01:01-DRB1*07:01:01-DQA1*05:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 34  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
 35  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
 36  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
 37  A*33:03:01-B*35:02:01-C*03:02:02-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 38  A*01:23-B*47:01-C*07:02-DRB1*03:02-DQA1*05:01-DQB1*02:01-DPB1*04:02  South Africa Worcester 0.3000159
 39  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
 40  A*29:01-B*07:05-C*04:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  South Africa Worcester 0.3000159
 41  A*30:02-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  South Africa Worcester 0.3000159
 42  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
 43  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  USA San Diego 0.2600496
 44  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
 45  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
 46  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
 47  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
 48  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
 49  A*68:01-B*35:01-C*04:01-DRB1*08:02-DQA1*05:01-DQB1*02:01-DPB1*04:02  USA San Diego 0.2600496
 50  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
 51  A*30:02-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  Nicaragua Managua 0.2165339
 52  A*03:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 53  A*11:01-B*51:01-C*14:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 54  A*24:07-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 55  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:02  China Zhejiang Han pop 2 0.0975833
 56  A*02:05-B*58:01-C*06:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 57  A*02:05-B*58:01-C*06:02-DRB1*07:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 58  A*02:11-B*15:02-C*08:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  Sri Lanka Colombo 0.0700714
 59  A*26:01-B*39:01-C*15:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 60  A*33:03-B*58:01-C*03:02-DRB1*10:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 61  A*68:01-B*57:01-C*06:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 62  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*02:02-DPB1*04:01  China Zhejiang Han pop 2 0.0675833
 63  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*02:10-DPB1*04:02  China Zhejiang Han pop 2 0.0600833
 64  DRB1*12:01-DQA1*05:05-DQB1*02:01-DPA1*02:02-DPB1*04:01  China Zhejiang Han pop 2 0.0600833
 65  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*02:02-DPB1*04:02  China Zhejiang Han pop 2 0.0544833
 66  A*24:02-B*51:01-C*03:04-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 67  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 68  DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:02  Hong Kong Chinese HKBMDR. DQ and DP 0.02631,064

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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