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 50 (from 50) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*10-DQA1*01:05-DQB1*05:01  Croatia Gorski Kotar Region 3.400063
 2  DRB1*10:01-DQA1*01:05-DQB1*05:01  Tunisia 3.0000100
 3  DRB1*10:01-DQA1*01:05-DQB1*05:01  Congo Kinshasa Bantu 2.200090
 4  DRB1*12:01-DQA1*01:05-DQB1*05:01  Congo Kinshasa Bantu 1.700090
 5  DRB1*10:01-DQA1*01:05-DQB1*05:01  South Korea pop 5 1.6000467
 6  DRB1*10:01-DQA1*01:05-DQB1*05:01  South Korea pop 1 1.2000324
 7  DRB1*10:01-DQA1*01:05-DQB1*05:01-DPB1*02:01  South Korea pop 2 1.2000207
 8  DRB1*10-DQA1*01:05-DQB1*05:01  Czech Republic pop 3 1.1000180
 9  A*02:01-B*35:02-C*02:10-DRB1*10:01-DQA1*01:05-DQB1*03:19  United Arab Emirates Abu Dhabi 0.960052
 10  A*68:01-B*58:02-C*06:02-DRB1*12:01-DQA1*01:05-DQB1*05:01  United Arab Emirates Abu Dhabi 0.960052
 11  DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*04:01  Hong Kong Chinese HKBMDR. DQ and DP 0.69111,064
 12  DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.4684833
 13  A*02:01-B*35:27-C*07:01-E*01:03:01-F*01:01:01-G*01:06-DRB1*10:01-DQA1*01:05-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 14  A*29:01:01:01-B*07:05-C*15:05-E*01:01:01-F*01:01:02-G*01:01-DRB1*10:01-DQA1*01:05-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 15  DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 0.4234833
 16  A*02:01:01-B*15:01:01-C*06:02:01-DRB1*10:01:01-DQA1*01:05:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 17  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQA1*01:05:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 18  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*04:04:01-DQA1*01:05:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 19  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQA1*01:05:01-DQB1*05:01-DPA1*02:01:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 20  A*02:01:01-B*51:01:01-C*05:01:01-DRB1*10:01:01-DQA1*01:05:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 21  A*02:05:01-B*08:01:01-C*06:02:01-DRB1*07:01:01-DQA1*01:05:01-DQB1*05:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 22  DQA1*01:05-DQB1*05:01-DPA1*02:02-DPB1*05:01  Hong Kong Chinese HKBMDR. DQ and DP 0.23911,064
 23  A*33:03-B*42:02-C*17:01-DRB1*12:01-DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.2294218
 24  DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 0.1817833
 25  DQA1*01:05-DQB1*05:01-DPA1*02:02-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 0.13631,064
 26  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.13003,078
 27  DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*834:01  Hong Kong Chinese HKBMDR. DQ and DP 0.12851,064
 28  DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 0.12551,064
 29  DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*02:01-DPB1*45:01  China Zhejiang Han pop 2 0.1200833
 30  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 31  A*24:02-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 32  DQA1*01:05-DQB1*05:01-DPA1*02:02-DPB1*02:02  Hong Kong Chinese HKBMDR. DQ and DP 0.06951,064
 33  DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*05:01  China Zhejiang Han pop 2 0.0680833
 34  DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*04:02  Hong Kong Chinese HKBMDR. DQ and DP 0.06551,064
 35  DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*02:02-DPB1*04:01  China Zhejiang Han pop 2 0.0635833
 36  DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*02:02  China Zhejiang Han pop 2 0.0629833
 37  DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*02:01-DPB1*10:01  China Zhejiang Han pop 2 0.0600833
 38  DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*02:02-DPB1*04:02  China Zhejiang Han pop 2 0.0600833
 39  DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*04:02  China Zhejiang Han pop 2 0.0526833
 40  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 41  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 42  A*02:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 43  A*02:06-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 44  A*24:02-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 45  A*24:02-B*40:06-C*03:03-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 46  A*24:02-B*52:01-C*12:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 47  A*31:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 48  A*31:01-B*51:01-C*03:04-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 49  DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*05:01  Hong Kong Chinese HKBMDR. DQ and DP 0.02911,064
 50  DQA1*01:05-DQB1*05:01-DPA1*02:01-DPB1*834:01  Hong Kong Chinese HKBMDR. DQ and DP 0.01131,064

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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