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 : 
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Displaying 1 to 56 (from 56) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*68:01-B*40:02-C*03:05-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 2.127747
 2  A*02:01-B*40:02-C*03:04-DRB1*04:04-DQA1*03:01-DQB1*03:02  Brazil Puyanawa 2.0000150
 3  A*02:01-B*40:02-C*03:05-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 4  A*31:01-B*40:02-C*03:04-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 5  B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 1.0490143
 6  A*24:02-B*40:02-C*03:05-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 7  A*68:03-B*40:02-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 8  A*02:01-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.6993143
 9  B*40:02-C*03:05-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.6400234
 10  A*24:02-B*40:02-DRB1*04:04-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 11  A*31:01-B*40:02-DRB1*04:04-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 12  A*31:01-B*40:02-C*03:05-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.4274234
 13  A*24:02-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.37401,999
 14  A*24:02-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 15  A*02:01-B*40:02-DRB1*04:04-DQB1*03:02  Mexico Mexico City Tlalpan 0.3030330
 16  A*01:01:01:01-B*40:02:01-C*06:02:01:01-DRB1*04:04:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 17  A*31:01-B*40:02-C*03:04-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 18  A*31:01-B*40:02-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Mexico Chiapas Lacandon Mayans 0.2294218
 19  A*31:01-B*40:02-C*03:06-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPB1*05:01  Nicaragua Managua 0.2165339
 20  A*02:22-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.20101,463
 21  A*24:02-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.17671,463
 22  A*68:01-B*40:02-DRB1*04:04-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 23  A*02:06-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.14001,999
 24  A*31:01-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.10251,463
 25  A*24:02-B*40:02-C*03:05-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.09511,463
 26  A*68:01-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.09301,999
 27  A*02:22:01-B*40:02:01-C*03:05-DRB1*04:04:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.0792221
 28  A*02:01-B*40:02-C*01:10-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.06841,463
 29  A*68:01-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.06204,856
 30  A*26:01-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02-DPB1*04:02  Russia Karelia 0.05651,075
 31  A*02:13-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.05621,463
 32  A*01:01-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 33  A*24:02-B*40:02-C*03:06-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 34  A*31:01-B*40:02-C*03:06-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 35  A*02:17-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 36  A*03:01-B*40:02-C*04:01-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 37  A*24:14-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 38  A*33:03-B*40:02-C*08:02-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 39  A*68:01-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 40  A*68:01-B*40:02-C*16:02-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 41  A*02:01:01-B*40:02:01-C*03:03:01-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 42  A*24:02:01-B*40:02:01-C*03:04:01-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 43  A*31:01-B*40:02-C*01:10-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.02331,463
 44  A*24:02-B*40:02-C*15:02-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.02052,492
 45  A*24:02:01-B*40:02:01-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.018123,595
 46  A*02:01-B*40:02-C*04:01-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.01681,463
 47  A*11:01:01-B*40:02:01-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.016623,595
 48  A*01:01-B*40:02-C*02:02-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 49  A*01:02-B*40:02-C*03:05-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 50  A*23:01-B*40:02-C*02:02-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 51  A*68:02-B*40:02-C*03:05-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 52  A*01:01:01-B*40:02:01-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.003023,595
 53  A*26:01:01-B*40:02:01-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002323,595
 54  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002323,595
 55  A*24:02:01-B*40:02:01-C*03:04:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002123,595
 56  A*26:01:01-B*40:02:01-C*03:04:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002123,595

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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