Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 39 (from 39) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:03:01-B*40-C*01:02:01-DRB1*15:02:01-DQB1*05:01:01-DPB1*13:01  China Yunnan Province Lisu 1.7000111
 2  A*24-B*15:25-C*04:03-DRB1*15:02:01-DQB1*05:01:01-DPB1*13:01  China Yunnan Province Nu 1.7000107
 3  A*11:01:01-B*07:02:01-C*04:01:01-DRB1*01:03:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Black 1.470668
 4  DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 1.30691,064
 5  DRB1*15:02-DQA1*01:01-DQB1*05:01-DPB1*13:01  China Canton Han 1.3000264
 6  DRB1*13:02-DQB1*05:01-DPB1*13:01  Gambia pop 3 0.7869939
 7  DRB1*10:01-DQB1*05:01-DPB1*13:01  Gambia pop 3 0.5520939
 8  A*02:01:01-B*07:02:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*13:01:01  Russian Federation Vologda Region 0.4202119
 9  DRB1*15:02-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*13:01  China Zhejiang Han pop 2 0.4182833
 10  A*30:01:01-B*53:01:01-C*12:03:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*13:01:01  South African Black 0.3520142
 11  A*25:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*02:01:04-DPB1*13:01  Russia Belgorod region 0.3268153
 12  A*02:02:01-B*15:16:01-C*14:02:01-DRB1*12:01:01-DQB1*05:01:01-DPA1*02:01:07-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 13  A*29:02:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 14  A*11:01-B*18:01-C*07:04-DRB1*15:02-DQA1*01:01-DQB1*05:01-DPB1*13:01  South Africa Worcester 0.3000159
 15  A*23:01-B*07:02-C*07:02-DRB1*15:03-DQA1*01:02-DQB1*05:01-DPB1*13:01  South Africa Worcester 0.3000159
 16  DQB1*05:01-DPB1*13:01:01  China Inner Mongolia Autonomous Region Northeast 0.2680496
 17  A*32:01-B*44:02-C*05:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*13:01  USA San Diego 0.2600496
 18  A*01:01-B*14:02-C*16:01-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*13:01  Nicaragua Managua 0.2165339
 19  A*02:05-B*51:01-C*16:01-DRB1*13:02-DQA1*01:02-DQB1*05:01-DPB1*13:01  Nicaragua Managua 0.2165339
 20  A*03:01-B*35:01-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*13:01  Nicaragua Managua 0.2165339
 21  A*31:01-B*49:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*05:01-DPB1*13:01  Nicaragua Managua 0.2165339
 22  DRB1*15:02:01-DQB1*05:01-DPB1*13:01:01  China Inner Mongolia Autonomous Region Northeast 0.2020496
 23  A*33:03:01-B*58:01:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 24  A*02:11-B*42:01-C*04:01-DRB1*09:01-DQB1*05:01-DPB1*13:01  Panama 0.1900462
 25  A*74:01-B*50:01-C*06:02-DRB1*11:01-DQB1*05:01-DPB1*13:01  Panama 0.1900462
 26  A*74:01-B*53:01-C*07:02-DRB1*15:03-DQB1*05:01-DPB1*13:01  Panama 0.1900462
 27  DRB1*15:02-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*13:01  China Zhejiang Han pop 2 0.1736833
 28  A*33:03:01-B*14:02-C*08:02:01-DRB1*01:02-DQB1*05:01:01-DPB1*13:01:01  Saudi Arabia pop 6 (G) 0.134028,927
 29  DRB1*09:01:02-DQB1*05:01-DPB1*13:01:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 30  DRB1*11:01-DQB1*05:01-DPB1*13:01  Gambia pop 3 0.0758939
 31  DRB1*01:02-DQB1*05:01-DPB1*13:01  Gambia pop 3 0.0726939
 32  DRB1*11:02-DQB1*05:01-DPB1*13:01  Gambia pop 3 0.0726939
 33  A*24:07-B*08:01-C*07:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 34  A*33:03-B*37:01-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 35  A*33:03-B*58:01-C*03:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 36  DRB1*15:02-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*13:01  China Zhejiang Han pop 2 0.0600833
 37  A*26:01-B*07:02-C*12:03-DRB1*10:01-DQB1*05:01-DPB1*13:01  Russia Karelia 0.05651,075
 38  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 39  A*02:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01-DPB1*13:01  Germany DKMS - German donors 0.01493,456,066

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.

support@allelefrequencies.net


Valid XHTML 1.0 Transitional