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 51 (from 51) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  South Korea pop 11 1.7000149
 2  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04-DPB1*02:01  Japan Central 1.2000371
 3  DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  South Korea pop 2 1.0000207
 4  DRB1*13:02-DQB1*06:04-DPB1*02:01  Greece pop3 1.0000246
 5  A*02:01-B*40:01-C*03:04-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  USA San Diego 0.7810496
 6  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQA1*01:03:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.6536153
 7  A*31:04-B*35:01-C*15:05-DRB1*13:02-DQB1*06:04-DPB1*02:01  Tanzania Maasai 0.6390336
 8  A*30:02:01-B*13:02:01-C*08:04:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:19  Brazil Rio de Janeiro Parda 0.5882170
 9  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*02:01  Japan pop 17 0.46003,078
 10  A*68:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 11  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*02:01  Japan pop 17 0.39003,078
 12  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*02:01  Panama 0.3800462
 13  A*11:01:01-B*08:01:01-C*07:01:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 14  A*68:01:02-B*08:01:01-C*07:01:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 15  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 16  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 17  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 18  A*26:01:01-B*38:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 19  A*01:01-B*35:55-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  USA San Diego 0.2600496
 20  A*01:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 21  DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.1801833
 22  A*68:02-B*53:01-C*06:02-DRB1*13:02-DQB1*06:04-DPB1*02:01  Tanzania Maasai 0.1597336
 23  A*24:02:01-B*35:08-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.146028,927
 24  A*11:01-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  Sri Lanka Colombo 0.1401714
 25  A*24:02:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.100828,927
 26  A*02:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*02:01  Germany DKMS - German donors 0.09423,456,066
 27  A*31:01:02-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.093628,927
 28  A*01:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.092628,927
 29  A*02:05-B*50:01-C*06:02-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  Sri Lanka Colombo 0.0700714
 30  A*03:01-B*27:05-C*01:02-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  Sri Lanka Colombo 0.0700714
 31  A*11:01-B*49:01-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  Sri Lanka Colombo 0.0700714
 32  A*02:01-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*02:01  Japan pop 17 0.07003,078
 33  A*02:01-B*13:02-C*06:02-DRB1*13:02-DQB1*06:04-DPB1*02:01  Russia Karelia 0.05651,075
 34  A*24:02-B*35:03-C*04:01-DRB1*13:02-DQB1*06:04-DPB1*02:01  Russia Karelia 0.05631,075
 35  A*01:01-B*35:03-C*04:01-DRB1*13:02-DQB1*06:04-DPB1*02:01  Russia Karelia 0.05591,075
 36  A*24:02-B*55:01-C*03:03-DRB1*13:02-DQB1*06:04-DPB1*02:01  Germany DKMS - German donors 0.03843,456,066
 37  A*68:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*02:01  Germany DKMS - German donors 0.03053,456,066
 38  A*02:06-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 39  A*11:01-B*55:02-C*01:02-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 40  A*24:02-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 41  A*24:02-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 42  A*31:01-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 43  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*02:01  Germany DKMS - German donors 0.02313,456,066
 44  A*03:01-B*07:02-C*07:02-DRB1*13:02-DQB1*06:04-DPB1*02:01  Germany DKMS - German donors 0.02303,456,066
 45  A*03:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*02:01  Germany DKMS - German donors 0.01753,456,066
 46  A*23:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*02:01  Germany DKMS - German donors 0.01753,456,066
 47  A*01:01-B*35:03-C*04:01-DRB1*13:02-DQB1*06:04-DPB1*02:01  Germany DKMS - German donors 0.01453,456,066
 48  A*01:01-B*08:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*02:01  Germany DKMS - German donors 0.01153,456,066
 49  A*01:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*02:01  Germany DKMS - German donors 0.01133,456,066
 50  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*02:01  Germany DKMS - German donors 0.01113,456,066
 51  A*02:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*02:01  Germany DKMS - German donors 0.01083,456,066

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.

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