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 43 (from 43) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*12:02:01-DQB1*03:01:01/03:09-DPB1*02:01:02  China Yunnan Province Bai 8.2000128
 2  A*11:03-B*52:01:01-C*07:02:01-DRB1*11:06-DQB1*03:01:01-DPB1*02:01:02  China Yunnan Province Nu 2.6000107
 3  DRB1*12:02:01-DQB1*03:01:01-DPB1*02:01:02  China Lijiang Naxi 2.6000100
 4  DRB1*04:05:01-DQB1*03:01:01-DPB1*02:01:02  China Lijiang Naxi 1.8000100
 5  A*03:01:01-B*53:01:01-C*04:01:01-DRB1*11:03:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 6  A*31:01:02-B*27:05:02-C*01:02:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 7  A*31:01:02-B*55:01:01-C*03:03:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 8  A*34:02:01-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 9  A*02:01:01-B*35:02:01-C*17:03:01-DRB1*04:01:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 10  A*02:01:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 11  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*11:01:01-DQA1*01:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 12  A*24:02:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 13  A*25:01:01-B*15:01:01-C*03:03:01-DRB1*11:03:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 14  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*04:07:01-DQA1*02:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 15  A*32:01:01-B*35:01:10-C*04:01:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 16  A*66:01:01-B*56:01:01-C*01:02:01-DRB1*11:04:01-DQA1*03:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 17  A*02:01:01-B*40:02:01-C*03:04:01-DRB1*14:03:01-DQA1*05:03-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 18  A*02:01:01-B*57:01:01-C*07:02:01-DRB1*07:01:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 19  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*04:07:01-DQA1*03:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 20  A*01:01:01-B*44:03:01-C*16:01:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 21  A*02:01:01-B*35:03:01-C*04:01:01-DRB1*11:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 22  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*08:03:02-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 23  A*03:01:01-B*18:05:01-C*12:03:01-DRB1*08:03:02-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 24  A*03:01:01-B*35:03:01-C*04:01:01-DRB1*11:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 25  A*30:02:01-B*18:01:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 26  A*31:01:02-B*51:01:01-C*04:01:01-DRB1*04:07:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 27  A*01:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 28  A*01:01:01-B*35:08:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 29  A*01:01:01-B*40:01:02-C*07:07-DRB1*12:05-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 30  A*01:01:01-B*44:04-C*16:01:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 31  A*03:01:01-B*07:02:01-C*12:03:01-DRB1*11:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 32  A*03:01:01-B*44:02:01-C*05:01:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 33  A*03:01:01-B*44:02:01-C*05:01:01-DRB1*12:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 34  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*13:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 35  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*12:10-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 36  A*24:02:01-B*15:01:01-C*12:03:01-DRB1*13:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 37  A*24:02:01-B*44:02:01-C*05:01:01-DRB1*04:03:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 38  A*24:02:01-B*49:01:01-C*04:01:01-DRB1*14:54:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 39  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 40  A*30:01:01-B*18:01:01-C*02:10:01-DRB1*13:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 41  A*68:02:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 42  A*24:02:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.169228,927
 43  A*30:01:01-B*49:01:01-C*07:01:01-DRB1*08:04-DQB1*03:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.089228,927

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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