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 69 (from 69) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*35-DRB1*13:03-DQB1*03:01  Colombia San Basilio de Palenque 2.381042
 2  A*11:01-B*35:01:01-C*14:02:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 3  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 4  A*24:02-B*35:01-C*04:01-DRB1*13:03-DQA1*05:05-DQB1*03:01  Kosovo 0.4030124
 5  A*02:01:01-B*35:01:01-C*15:13-DRB1*13:03:01-DQA1*03:01:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 0.3268153
 6  A*30:01-B*35:01-C*07:05-DRB1*13:03-DQB1*03:01-DPB1*11:01  Tanzania Maasai 0.3195336
 7  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.23181,510
 8  A*01:01-B*35:01-C*07:02-DRB1*13:03-DQA1*05:01-DQB1*03:01-DPB1*04:02  Nicaragua Managua 0.2165339
 9  A*02:01-B*35:01-C*04:01-DRB1*13:03-DQA1*05:01-DQB1*03:01-DPB1*04:02  Nicaragua Managua 0.2165339
 10  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
 11  A*30:02:01-B*35:08:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:04  Brazil Rio de Janeiro Caucasian 0.1946521
 12  A*02:02-B*35:08-C*04:01-DRB1*13:03-DQB1*03:01-DPB1*17:01  Panama 0.1900462
 13  A*02:01-B*35:01-DRB1*13:03-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 14  A*03:01-B*35:01-DRB1*13:03-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 15  A*03:01-B*35:01-C*04:01-DRB1*13:03-DQB1*03:01  USA African American pop 4 0.08702,411
 16  A*01:01-B*35:02-C*04:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.08004,856
 17  A*01-B*35-DRB1*13:03-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 18  A*32-B*35-DRB1*13:03-DQA1*01:03-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 19  A*24:02-B*35:01-C*04:01-DRB1*13:03-DQB1*03:01-DPB1*06:01  Russia Karelia 0.05601,075
 20  A*03:01-B*35:01-C*04:01-DRB1*13:03-DQB1*03:01-DPB1*03:01  Russia Karelia 0.05561,075
 21  A*24:02-B*35:08-C*04:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.05104,856
 22  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.046323,595
 23  A*02:01-B*35:01-C*16:01-DRB1*13:03-DQB1*03:01  USA African American pop 4 0.04402,411
 24  A*03:01-B*35:01-C*04:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 25  A*11:01-B*35:01-C*04:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 26  A*23:01-B*35:08-C*04:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 27  A*68:01-B*35:08-C*04:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 28  A*03:01-B*35:02-C*04:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.03604,856
 29  A*02:01-B*35:08-C*04:01-DRB1*13:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 30  A*24:02-B*35:08-C*04:01-DRB1*13:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 31  A*26:01-B*35:08-C*04:01-DRB1*13:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 32  A*24:02:01:01-B*35:01:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 33  A*02:01-B*35:08-C*04:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.03104,856
 34  A*24:02-B*35:01-C*04:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.03104,856
 35  A*32:01-B*35:01-C*04:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.03104,856
 36  A*24:02-B*35:02-C*04:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.02304,856
 37  A*24:02-B*35:08-C*04:01-DRB1*13:03-DQB1*03:01  USA Hispanic pop 2 0.02301,999
 38  A*11:01-B*35:01-C*04:01-DRB1*13:03-DQB1*03:01  USA Asian pop 2 0.02201,772
 39  A*24:02-B*35:01-C*04:01-DRB1*13:03-DQB1*03:01  USA Asian pop 2 0.02201,772
 40  A*33:03:01-B*35:08:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.021223,595
 41  A*32:01-B*35:03-C*04:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.02104,856
 42  A*33:03-B*35:08-C*04:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.02104,856
 43  A*02:01:01-B*35:03:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.016123,595
 44  A*02:11-B*35:03-C*12:03-DRB1*13:03-DQB1*03:01  India Tamil Nadu 0.01282,492
 45  A*32:01-B*35:08-C*04:01-DRB1*13:03-DQB1*03:01  India UCBB_Central Indian HLA 0.01194,204
 46  A*68:01-B*35:02-C*04:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.01104,856
 47  A*24:02-B*35:01-C*04:01-DRB1*13:03-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.01023,456,066
 48  A*33:03-B*35:02-C*04:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 49  A*33:03-B*35:02-C*07:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 50  A*33:03-B*35:03-C*04:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 51  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.009723,595
 52  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.007523,595
 53  A*32:01:01-B*35:03:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.006423,595
 54  A*68:01:01-B*35:03:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.005923,595
 55  A*01:01:01-B*35:02:01-C*06:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.004723,595
 56  A*02:01:01-B*35:02:01-C*06:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.003823,595
 57  A*02:01:01-B*35:03:01-C*12:03:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002423,595
 58  A*03:01:01-B*35:02:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 59  A*01:01:01-B*35:02:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 60  A*02:06:01-B*35:08:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 61  A*03:01:01-B*35:01:01-C*03:04:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 62  A*03:01:01-B*35:01:01-C*07:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 63  A*29:02:01-B*35:01:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 64  A*32:01:01-B*35:08:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 65  A*11:01:01-B*35:08:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 66  A*25:01:01-B*35:02:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 67  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002023,595
 68  A*02:06-B*35:03-C*12:02-DRB1*13:03-DQB1*03:01  India Tamil Nadu 0.00162,492
 69  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.000548923,595

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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