Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 85 (from 85) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  South Korea pop 2 1.7000207
 2  DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  South Korea pop 11 1.3000149
 3  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 1.2605714
 4  A*03:01:01-B*15:01:01-C*03:03:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.8403119
 5  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  South Africa Worcester 0.6000159
 6  A*23:01-B*45:01-C*04:01-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 7  A*34:02-B*35:01-C*08:04-DRB1*15:03-DQA1*01:01-DQB1*05:01-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 8  A*36:01-B*81:01-C*04:01-DRB1*12:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 9  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.4673570
 10  A*03:01:01-B*40:01:02-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 11  A*30:01:01-B*13:02:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 12  A*68:02:01-B*14:02:01-C*04:01:01-DRB1*01:02:01-DQA1*01:01:02-DQB1*05:01-DPA1*02:01:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 13  DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.3639833
 14  A*02:01:01-B*27:05:02-C*03:04:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 15  A*01:01-B*15:03-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  South Africa Worcester 0.3000159
 16  A*02:02-B*57:03-C*16:01-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*02:01  South Africa Worcester 0.3000159
 17  A*24:07-B*52:01-C*12:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  South Africa Worcester 0.3000159
 18  A*30:01-B*58:01-C*06:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*02:01  South Africa Worcester 0.3000159
 19  A*02:01-B*27:05-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 20  A*02:01-B*27:05-C*01:02-DRB1*01:03-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 21  A*03:01-B*35:03-C*04:01-DRB1*04:07-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 22  A*03:01-B*51:01-C*14:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 23  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 24  A*24:02-B*07:02-C*07:02-DRB1*07:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 25  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.23003,078
 26  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.2294218
 27  A*02:01-B*15:01-C*07:04-DRB1*11:04-DQA1*01:01-DQB1*05:01-DPB1*02:01  Nicaragua Managua 0.2165339
 28  A*02:01-B*40:02-C*03:05-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Nicaragua Managua 0.2165339
 29  A*01:01-B*35:01-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.2101714
 30  DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*02:01  China Zhejiang Han pop 2 0.1945833
 31  A*01:01-B*41:01-C*17:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.1402570
 32  A*02:11-B*40:06-C*15:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.1401714
 33  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.1401714
 34  A*33:03-B*58:01-C*03:02-DRB1*15:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.1401714
 35  A*31:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 36  A*30:01-B*50:01-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0935570
 37  A*68:01-B*07:02-C*07:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0935570
 38  A*01:01-B*40:06-C*15:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 39  A*02:06-B*40:06-C*15:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 40  A*02:11-B*58:01-C*03:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 41  A*02:16-B*38:02-C*07:02-DRB1*15:02-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 42  A*03:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 43  A*24:02-B*37:01-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 44  A*24:02-B*51:01-C*14:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 45  A*24:07-B*56:01-C*08:01-DRB1*07:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 46  A*26:01-B*58:01-C*03:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 47  A*30:04-B*14:02-C*08:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 48  A*31:01-B*39:01-C*12:03-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 49  A*33:03-B*37:01-C*06:02-DRB1*15:02-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 50  A*24:02-B*52:01-C*12:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 51  DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 0.06261,064
 52  DRB1*15:02-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*02:01  China Zhejiang Han pop 2 0.0600833
 53  A*01:01-B*35:01-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 54  A*01:01-B*55:01-C*01:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 55  A*02:01-B*15:18-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 56  A*02:01-B*18:01-C*07:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 57  A*02:01-B*35:01-C*15:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 58  A*02:01-B*45:01-C*16:01-DRB1*12:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 59  A*02:527-B*45:01-C*16:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 60  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 61  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 62  A*24:03-B*49:01-C*08:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 63  A*26:01-B*13:02-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 64  A*26:01-B*18:01-C*07:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 65  A*26:01-B*58:01-C*03:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 66  A*32:01-B*40:06-C*15:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 67  A*32:01-B*50:01-C*16:04-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 68  A*32:01-B*73:01-C*15:05-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 69  A*33:03-B*14:02-C*08:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 70  A*33:03-B*15:13-C*03:88-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 71  A*36:01-B*53:01-C*04:01-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 72  A*68:01-B*15:17-C*07:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 73  A*68:01-B*44:03-C*01:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 74  DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 0.03431,064
 75  A*02:01-B*15:11-C*03:03-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 76  A*02:06-B*54:01-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 77  A*02:07-B*46:01-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 78  A*02:07-B*55:02-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 79  A*24:02-B*52:01-C*12:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 80  A*24:02-B*54:01-C*01:02-DRB1*14:54-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 81  A*26:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 82  DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Pakistan Mixed Punjabi 0.0077389
 83  DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Pakistan Mixed Punjabi 0.0039389
 84  DRB1*01:02-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Pakistan Mixed Punjabi 0.0013389
 85  DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*02:01  Pakistan Mixed Punjabi 0.0013389

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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