Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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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 40 (from 40) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*39-C*07-DRB1*08-DQA1*04-DQB1*04  Mexico Tapachula, Chiapas Mestizo Population 2.083372
 2  A*68-B*39-C*07-DRB1*08-DQA1*04-DQB1*04  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 3  A*24-B*39-DRB1*08-DQA1*04:01-DQB1*04:02  Georgia Svaneti Region Svan 1.300080
 4  A*68:01-B*39:05-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*04:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 5  A*32-B*39-DRB1*08-DQA1*04-DQB1*04  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.8900112
 6  A*68:03-B*39:05-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02  Mexico Tixcacaltuyub Maya 0.746367
 7  A*25-B*39-C*07-DRB1*08-DQA1*04-DQB1*04  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 8  A*24:02-B*39:05-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.4587218
 9  A*68:03-B*39:05-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.4587218
 10  A*29:02-B*39:06-C*07:02-E*01:03:02-F*01:01:01-G*01:01-DRB1*08:01-DQA1*04:01-DQB1*04:02  Portugal Azores Terceira Island 0.4386130
 11  A*32:01:01-B*39:01:01-C*07:02:01-DRB1*08:01:01-DQA1*04:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 12  A*03:01:14-B*39:01:01-C*07:02:01-DRB1*08:01-DQA1*04:01:01-DQB1*04:02:01-DPA1*02:01:02-DPB1*01:01:01  Russia Belgorod region 0.3268153
 13  A*02-B*39-DRB1*08:01-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.3120641
 14  A*02:06-B*39:08-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 15  A*31:01-B*39:05-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 16  A*68:03-B*39:05-C*07:02-DRB1*08:01-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 17  A*68:05-B*39:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.2294218
 18  A*68:05-B*39:05-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 19  A*68:03-B*39:08-C*07:17-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPB1*03:01  Nicaragua Managua 0.2165339
 20  A*02-B*39-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.1560641
 21  A*31-B*39-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.1560641
 22  A*11-B*39-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 23  A*24-B*39-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 24  A*29-B*39-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 25  A*68-B*39-DRB1*08:04-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 26  A*68-B*39-DRB1*08:07-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 27  A*02:01-B*39:06-C*07:02-DRB1*08:01-DQA1*04:01-DQB1*04:02-DPB1*03:01  Sri Lanka Colombo 0.0700714
 28  A*02:06-B*39:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 29  A*02:06-B*39:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 30  A*01-B*39-C*12-DRB1*08-DQA1*04-DQB1*04  Spain, Castilla y Leon, Northwest, 0.03281,743
 31  A*02-B*39-C*12-DRB1*08-DQA1*04-DQB1*04  Spain, Castilla y Leon, Northwest, 0.03281,743
 32  A*24-B*39-C*01-DRB1*08-DQA1*04-DQB1*04  Spain, Castilla y Leon, Northwest, 0.03281,743
 33  A*24-B*39-C*07-DRB1*08-DQA1*04-DQB1*04  Spain, Castilla y Leon, Northwest, 0.03281,743
 34  A*34-B*39-C*07-DRB1*08-DQA1*04-DQB1*04  Spain, Castilla y Leon, Northwest, 0.03281,743
 35  A*02:06-B*39:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*03:01  Japan pop 17 0.03003,078
 36  A*02:06-B*39:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*06:01  Japan pop 17 0.03003,078
 37  A*02:28-B*39:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 38  A*24:02-B*39:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 39  A*26:01-B*39:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 40  A*31:01-B*39:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078

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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