Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 77 (from 77) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*13:02:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Black 2.381073
 2  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*17:01:01  Brazil Barra Mansa Rio State Black 2.381073
 3  A*23:01:01-B*44:03:01-C*07:01:01-DRB1*07:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Black 1.470668
 4  A*24:02:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Black 1.470668
 5  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.77855,266
 6  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 7  A*02:01:01-B*39:06:02-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*17:01:01  Brazil Rio de Janeiro Parda 0.5882170
 8  A*02:01:01-B*51:01:01-C*04:01:01-DRB1*01:02:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*17:01:01  Brazil Rio de Janeiro Parda 0.5882170
 9  A*26:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*06:02:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Parda 0.5882170
 10  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*02:01:02-DPB1*17:01:01  Russian Federation Vologda Region 0.4202119
 11  A*24:02:01-B*13:02:01-C*06:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*17:01:01  Russian Federation Vologda Region 0.4202119
 12  A*32:01:01-B*39:01:24-C*12:02:02-DRB1*15:02-DQA1*01:03:01-DQB1*03:01-DPA1*01:03:01-DPB1*17:01:01  Russian Federation Vologda Region 0.4202119
 13  A*03:01:01-B*15:10:01-C*17:01:01-DRB1*04:01:01-DQB1*02:02:01-DPB1*17:01:01  South African Black 0.3520142
 14  A*01:01:01-B*57:01:01-C*07:01:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 15  A*01:01:01-B*07:05:01-C*07:01:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 16  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 17  A*02:01:01-B*58:01:01-C*07:18:01-DRB1*11:02:01-DQB1*03:19:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 18  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*14:04:01-DQB1*05:03:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 19  A*23:01:01-B*07:20-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 20  A*24:02:01-B*35:08:01-C*04:01:01-DRB1*16:02:01-DQB1*05:02:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 21  A*24:02:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 22  A*29:02:01-B*49:01:01-C*05:01:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 23  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*04:07:01-DQB1*06:03:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 24  A*74:01:01-B*18:01:01-C*02:02:02-DRB1*13:03:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 25  A*01:01:01-B*57:01:01-C*07:01:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 26  A*01:01:01-B*38:01:01-C*07:18:01-DRB1*13:03:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 27  A*02:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 28  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 29  A*02:01:01-B*44:02:01-C*01:02:01-DRB1*08:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 30  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*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 31  A*02:01:01-B*44:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 32  A*02:01:01-B*58:01:01-C*07:18:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 33  A*02:05:01-B*15:220:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 34  A*03:01:01-B*13:02:01-C*07:04:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 35  A*11:01:01-B*14:02:01-C*06:02:01-DRB1*12:10-DQB1*05:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 36  A*11:01:01-B*57:01:01-C*04:01:01-DRB1*15:01:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 37  A*23:01:01-B*15:16:01-C*03:04:02-DRB1*10:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 38  A*24:02:01-B*08:01:01-C*07:01:01-DRB1*15:01:01-DQB1*06:09:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 39  A*24:02:01-B*55:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 40  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*15:03:01-DQB1*06:09:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 41  A*26:01:01-B*51:01:01-C*16:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 42  A*26:01:01-B*51:07:01-C*06:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 43  A*31:01:02-B*40:01:02-C*16:01:01-DRB1*10:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 44  A*32:01:01-B*51:01:01-C*16:01:01-DRB1*07:01:01-DQB1*03:19:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 45  A*02:05:01-B*53:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*17:01:01  Saudi Arabia pop 6 (G) 0.194528,927
 46  A*32:01:01-B*53:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*17:01:01  Saudi Arabia pop 6 (G) 0.166228,927
 47  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*17:01:01  Saudi Arabia pop 6 (G) 0.152128,927
 48  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*17:01:01  Saudi Arabia pop 6 (G) 0.148628,927
 49  A*02:01:01-B*39:24-C*07:01:01-DRB1*04:01:01-DQB1*03:02:01-DPB1*17:01:01  Saudi Arabia pop 6 (G) 0.101028,927
 50  A*32:01:01-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*17:01:01  Saudi Arabia pop 6 (G) 0.093028,927
 51  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*17:01:01  Saudi Arabia pop 6 (G) 0.090828,927
 52  A*24:02:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.05215,266
 53  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04715,266
 54  A*11:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03895,266
 55  A*33:03:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03485,266
 56  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02905,266
 57  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02905,266
 58  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02715,266
 59  A*11:01:01-B*40:01:02-C*07:56:02-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 60  A*24:02:01-B*46:01:01-C*01:02:01-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01875,266
 61  A*02:03:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01705,266
 62  A*02:01:01-B*15:11:01-C*03:03:01-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01275,266
 63  A*02:01:01-B*40:01:02-C*07:02:01-DRB1*12:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 64  A*02:03:01-B*27:04:01-C*12:02:02-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 65  A*02:07:01-B*15:25:01-C*04:03:01-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 66  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*15:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 67  A*11:01:01-B*15:11:01-C*03:03:01-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 68  A*11:01:01-B*46:01:01-C*01:02:01-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00945,266
 69  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*11:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00935,266
 70  A*31:01:02-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00915,266
 71  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*11:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00825,266
 72  A*02:01:01-B*54:01:01-C*01:02:01-DRB1*04:05:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00725,266
 73  A*02:01:01-B*15:18:01-C*07:04:01-DRB1*04:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00685,266
 74  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
 75  A*29:01:01-B*52:01:01-C*12:02:02-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00665,266
 76  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00655,266
 77  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*14:54:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00535,266

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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