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 60 (from 60) 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  DRB1*14:02-DQB1*03:01-DPB1*02:01:02  Mexico Chihuahua Tarahumara 5.700044
 3  DQB1*03:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 4.9170496
 4  A*02:01:01/02:01:09-B*40:02-C*03:04-DRB1*14:02-DQB1*03:01-DPB1*02:01:02  Mexico Chihuahua Tarahumara 3.400044
 5  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
 6  DRB1*12:02:01-DQB1*03:01:01-DPB1*02:01:02  China Lijiang Naxi 2.6000100
 7  DRB1*04:05:01-DQB1*03:01:01-DPB1*02:01:02  China Lijiang Naxi 1.8000100
 8  DRB1*11:01:01-DQB1*03:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 1.7130496
 9  DRB1*12:01:01-DQB1*03:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 1.7020496
 10  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
 11  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
 12  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.9804153
 13  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
 14  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
 15  DRB1*04:01:01-DQB1*03:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.4930496
 16  DRB1*12:02:01-DQB1*03:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.4370496
 17  A*01:01:01-B*35:01:01-C*03:04:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 18  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
 19  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
 20  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
 21  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
 22  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
 23  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
 24  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
 25  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
 26  DRB1*14:03:01-DQB1*03:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.3500496
 27  A*02:01:01-B*18:01:01-C*02:02:02-DRB1*03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 28  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*03:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 29  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
 30  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*13:05:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 31  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
 32  A*11:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*02:01:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 33  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
 34  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
 35  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
 36  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
 37  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
 38  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
 39  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
 40  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
 41  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
 42  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
 43  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
 44  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
 45  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
 46  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
 47  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
 48  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
 49  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
 50  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
 51  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
 52  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
 53  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
 54  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
 55  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
 56  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
 57  DRB1*14:01:01-DQB1*03:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1040496
 58  DRB1*11:37:01-DQB1*03:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1010496
 59  DRB1*14:02-DQB1*03:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1010496
 60  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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