Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 56 (from 56) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01-C*08:01:01  Taiwan Tao 2.000050
 2  A*02:01:01-B*15:13:01-C*08:01:01  South African Mixed ancestry 1.000050
 3  A*02:01-C*08:01:01  Taiwan Rukai 1.000050
 4  A*02:01:01-B*15:01:01-C*08:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 5  A*02:01:01-B*35:01:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 6  A*02:01:01-B*48:01:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 7  A*02:01:01-B*48:01:01-C*08:01:01-DRB1*14:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 8  A*02:01:01-B*51:01:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 9  A*02:01:01-B*48:01:01-C*08:01:01-DRB1*04:07  Nicaragua Mestizo (G) 0.6452155
 10  A*02:01:01-C*08:01:01-DRB1*11:01:01  China Jingpo Minority 0.5150105
 11  A*02:01:01-B*48:01:01-C*08:01:01-DRB1*13:01:01-DQA1*03:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01:01  Russian Federation Vologda Region 0.4202119
 12  A*02:01:01-B*44:02:01-C*08:01:01-DRB1*12:01-DQB1*03:03:02  Russia Bashkortostan, Bashkirs 0.4167120
 13  A*02:01:01-B*39:24:01-C*08:01:01-DRB1*01:01  Nicaragua Mestizo (G) 0.3226155
 14  A*02:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 15  A*02:01:01:01-B*40:06:01-C*08:01:01-DRB1*13:01:01-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 16  A*02:01:01-B*58:01:01-C*08:01:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 17  A*02:01:01-B*40:06:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.18301,734
 18  A*02:01:01-B*15:02:01-C*08:01:01-DRB1*15:01:01-DQB1*05:02:01  India Kerala Malayalam speaking 0.1400356
 19  A*02:01:01-B*40:01:02-C*08:01:01-DRB1*12:01:01-DQB1*03:01:01  China Zhejiang Han 0.08651,734
 20  A*02:01:01-B*40:06:01-C*08:01:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.08651,734
 21  A*02:01:01:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.06621,510
 22  A*02:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DPB1*21:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.06415,266
 23  A*02:01:01-B*15:18:01-C*08:01:01-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.05771,734
 24  A*02:01:01-B*48:01:01-C*08:01:01-DRB1*12:01:01-DQB1*03:01:01  China Zhejiang Han 0.05771,734
 25  A*02:01:01-B*48:01:01-C*08:01:01-DRB1*15:01:01-DQB1*05:03:01  China Zhejiang Han 0.05761,734
 26  A*02:01:01:01-B*48:01:01-C*08:01:01-DRB1*04:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 27  A*02:01:01-B*15:01:01-C*08:01:01-DRB1*03:01:01-DQB1*02:01:01  China Zhejiang Han 0.02901,734
 28  A*02:01:01-B*15:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 29  A*02:01:01-B*15:01:01-C*08:01:01-DRB1*14:05:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 30  A*02:01:01-B*15:03:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 31  A*02:01:01-B*15:11:01-C*08:01:01-DRB1*04:03:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 32  A*02:01:01-B*15:18:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 33  A*02:01:01-B*15:18:01-C*08:01:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 34  A*02:01:01-B*35:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 35  A*02:01:01-B*40:06:01-C*08:01:01-DRB1*14:05:01-DQB1*05:03:01  China Zhejiang Han 0.02881,734
 36  A*02:01:01-B*46:01:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 37  A*02:01:01-B*55:02:01-C*08:01:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 38  A*02:01:01-B*15:01:01-C*08:01:01-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.02861,734
 39  A*02:01:01-B*15:01:01-C*08:01:01-DRB1*09:01:02-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02715,266
 40  A*02:01:01-B*15:18:01-C*08:01:01-DRB1*04:03:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02665,266
 41  A*02:01:01-B*15:02:01-C*08:01:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01885,266
 42  A*02:01:01-B*40:06:01-C*08:01:01-DRB1*04:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01155,266
 43  A*02:01:01-B*15:01:01-C*08:01:01-DRB1*04:05:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00985,266
 44  A*02:01:01-B*15:01:01-C*08:01:01-DRB1*04:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00965,266
 45  A*02:01:01-B*15:18:01-C*08:01:01-DRB1*04:04:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 46  A*02:01:01-B*55:02:01-C*08:01:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 47  A*02:01:01-B*51:01:01-C*08:01:01-DRB1*08:03:02-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00865,266
 48  A*02:01:01-B*15:02:01-C*08:01:01-DRB1*14:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00845,266
 49  A*02:01:01-B*48:01:01-C*08:01:01-DRB1*13:12:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00765,266
 50  A*02:01:01-B*58:01:01-C*08:01:01-DRB1*15:01:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00735,266
 51  A*02:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00705,266
 52  A*02:01:01-B*40:06:01-C*08:01:01-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00665,266
 53  A*02:01:01-B*15:01:01-C*08:01:01-DRB1*11:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00655,266
 54  A*02:01:01-B*54:01:01-C*08:01:01-DRB1*04:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00525,266
 55  A*02:01:01-B*40:06:01-C*08:01:01-DRB1*04:04:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00485,266
 56  A*02:01:01-B*48:01:01-C*08:01:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.002323,595

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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