Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Displaying 1 to 82 (from 82) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*68:02-B*15:10  South Africa Natal Zulu 4.0000100
 2  A*68:02:01-B*15:10:01-C*15:02:01-DRB1*08:04:01-DQB1*03:19:01-DPA1*01:03:01-DPB1*416:01:01  Brazil Barra Mansa Rio State Black 2.381073
 3  A*68:02-B*15:10-C*03:04-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  South Africa Worcester 1.9000159
 4  A*68:02-B*15:10  Kenya Nandi 1.5000240
 5  A*68:02-B*15:10-C*03:04  Kenya Nandi 1.5000240
 6  A*68:02-B*15:10  Kenya Luo 1.3000265
 7  A*68:02-B*15:10-C*03:04  Kenya Luo 1.3000265
 8  A*68:02-B*15:10  USA African American pop 4 1.20202,411
 9  A*68:02-B*15:10-C*03:04  Uganda Kampala 1.2000161
 10  A*68:02-B*15:10-C*03:04-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 1.0000100
 11  A*68:02-B*15:10-C*08:04-DRB1*13:01-DQB1*06:03-DPB1*105:01  Tanzania Maasai 0.7987336
 12  A*68:02-B*15:10-C*03:04-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.72202,411
 13  A*68:02:01-B*15:10:01-C*03:04:02-DRB1*11:01:02-DQB1*03:19:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 14  A*68:02-B*15:10-C*03:04-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*01:01  South Africa Worcester 0.6000159
 15  A*68:02-B*15:10-C*08:04-DRB1*11:01-DQA1*01:02-DQB1*06:02-DPB1*03:01  South Africa Worcester 0.6000159
 16  A*68:02:01-B*15:10:01-C*07:01:01-DRB1*15:03:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 17  A*68:02-B*15:10-C*02:02-DRB1*11:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 18  A*68:02:01-B*15:10:01-C*16:01:01-DRB1*16:02:01  Costa Rica African -Caribbean (G) 0.4902102
 19  A*68:02-B*15:10-C*03:04-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  Nicaragua Managua 0.4329339
 20  A*68:02:01-B*15:10:01-C*03:04:02-DRB1*11:01:02  Costa Rica Amerindians (G) 0.4032125
 21  A*68:02:01-B*15:10:01-C*02:10:01-DRB1*12:01:01-DQB1*02:01:01-DPB1*01:01:01  South African Black 0.3520142
 22  A*68:02:01-B*15:10:01-C*03:04:02-DRB1*13:01:01-DQB1*05:01:01-DPB1*106:01  South African Black 0.3520142
 23  A*68:02:01-B*15:10:01-C*03:04:02-DRB1*15:03:01-DQB1*06:02:01-DPB1*02:01:02  South African Black 0.3520142
 24  A*68:02:01-B*15:10:01-C*08:01:01-DRB1*11:01:02-DQB1*06:02:01-DPB1*104:01:01  South African Black 0.3520142
 25  A*68:02:01-B*15:10:01-C*08:04:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*01:01:01  South African Black 0.3520142
 26  A*68:02-B*15:10-C*03:04-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.3497143
 27  A*68:02-B*15:10-C*03:04-DRB1*03:01-DQB1*02:01  USA NMDP Black South or Central American 0.32854,889
 28  A*68:02-B*15:10-C*03:04-DRB1*03:01-DQB1*02:01-DPB1*01:01  Tanzania Maasai 0.3195336
 29  A*68:02-B*15:10-C*03:04-DRB1*11:01-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.3195336
 30  A*68:02:01-B*15:10:01-C*03:04:02-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 31  A*68:02:01-B*15:10:01-C*03:04:02-DRB1*07:01:01-DQB1*05:03:01-DPA1*02:01:08-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 32  A*68:02-B*15:10-C*03:04-DRB1*13:02-DQA1*02:01-DQB1*06:09-DPB1*04:01  South Africa Worcester 0.3000159
 33  A*68:02-B*15:10  USA Hispanic pop 2 0.25201,999
 34  A*68:02-B*15:10-C*03:04-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*04:02  Nicaragua Managua 0.2165339
 35  A*68:02-B*15:10-DRB1*01:02  Israel Ethiopia Jews 0.20005,928
 36  A*68:02-B*15:10-C*03:04-DRB1*11:01-DQB1*06:02-DPB1*02:01  Panama 0.1900462
 37  A*68:02-B*15:10-C*03:04-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.17001,999
 38  A*68:02-B*15:10-C*03:04-DRB1*03:01-DQB1*02:01  USA NMDP Caribean Indian 0.160514,339
 39  A*68:02-B*15:10-C*03:03-DRB1*11:01-DQB1*03:19-DPB1*04:01  Tanzania Maasai 0.1597336
 40  A*68:02-B*15:10-C*03:04-DRB1*04:05-DQB1*05:01-DPB1*105:01  Tanzania Maasai 0.1597336
 41  A*68:02-B*15:10-C*03:04-DRB1*10:01-DQB1*06:02-DPB1*01:01  Tanzania Maasai 0.1597336
 42  A*68:02-B*15:10-C*08:04-DRB1*13:01-DQB1*06:03-DPB1*133:01  Tanzania Maasai 0.1597336
 43  A*68:02-B*15:10-C*03:04-DRB1*08:04-DQB1*03:01  USA African American pop 4 0.13102,411
 44  A*68:02-B*15:10-C*03:04-DRB1*03:02-DQB1*04:02  USA African American pop 4 0.10602,411
 45  A*68:02-B*15:10-C*03:04-DRB1*03:01-DQA1*01:02-DQB1*02:01-DPA1*02:01-DPB1*01:01  United Arab Emirates Pop 1 0.0935570
 46  A*68:02-B*15:10-C*03:04-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*01:01  United Arab Emirates Pop 1 0.0935570
 47  A*68:02:01-B*15:10-C*03:04:02-DRB1*03:01:01-DQB1*02:01:01-DPB1*01:01:01  Saudi Arabia pop 6 (G) 0.093228,927
 48  A*68:02-B*15:10-C*03:04-DRB1*01:02-DQB1*05:01  USA African American pop 4 0.08702,411
 49  A*68:02-B*15:10-C*03:04-DRB1*08:04  Germany DKMS - United Kingdom minority 0.04801,043
 50  A*68:02-B*15:10-C*03:02-DRB1*13:01-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 51  A*68:02-B*15:10-C*03:04-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 52  A*68:02-B*15:10-C*03:04-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 53  A*68:02-B*15:10-C*03:04-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.0467570
 54  A*68:02-B*15:10-C*03:02-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.04402,411
 55  A*68:02-B*15:10-C*03:02-DRB1*08:04-DQB1*03:01  USA African American pop 4 0.04402,411
 56  A*68:02-B*15:10-C*03:02-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.04402,411
 57  A*68:02-B*15:10-C*03:04-DRB1*04:05-DQB1*03:02  USA African American pop 4 0.04402,411
 58  A*68:02-B*15:10-C*03:04-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.04402,411
 59  A*68:02-B*15:10-C*03:04-DRB1*15:01-DQB1*06:02  USA African American pop 4 0.04402,411
 60  A*68:02-B*15:10-C*08:04-DRB1*13:01-DQB1*06:09  USA African American pop 4 0.04402,411
 61  A*68:02-B*15:10-C*03:04-DRB1*09:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 62  A*68:02-B*15:10-C*03:04-DRB1*12:01-DQB1*05:01  USA African American pop 4 0.03902,411
 63  A*68:02-B*15:10-C*03:02-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 64  A*68:02-B*15:10-C*03:04-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 65  A*68:02-B*15:10-C*03:04-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 66  A*68:02-B*15:10-DRB1*03:01  Israel Arab pop 2 0.028412,301
 67  A*68:02-B*15:10-C*03:04-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.01701,999
 68  A*68:02-B*15:10-DRB1*08:04  Israel Ethiopia Jews 0.01705,928
 69  A*68:02-B*15:10-DRB1*04:03  Israel Ethiopia Jews 0.01695,928
 70  A*68:02-B*15:10-C*03:04-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 71  A*68:02-B*15:10-C*03:04-DRB1*14:01-DQB1*05:01  USA Hispanic pop 2 0.01201,999
 72  A*68:02-B*15:10-DRB1*11:01  Hong Kong Chinese cord blood registry 0.01133,892
 73  A*68:02-B*15:10-C*03:04-DRB1*11:01-DQB1*06:02  USA African American pop 4 0.01102,411
 74  A*68:02-B*15:10-C*03:04-DRB1*13:02-DQB1*05:01  USA African American pop 4 0.01102,411
 75  A*68:02-B*15:10-DRB1*08:02  Hong Kong Chinese cord blood registry 0.00853,892
 76  A*68:02-B*15:10-DRB1*03:01  Israel Ethiopia Jews 0.00855,928
 77  A*68:02-B*15:10-DRB1*03:01  Israel USA Jews 0.00836,058
 78  A*68:02-B*15:10-C*03:04-DRB1*11:01  Hong Kong Chinese BMDR 0.00577,595
 79  A*68:02:01-B*15:10:01-C*03:04:02-DRB1*08:04:01-DQB1*03:01:04  Poland BMR 0.004223,595
 80  A*68:02-B*15:10-DRB1*11:02  Israel Arab pop 2 0.004112,301
 81  A*68:02-B*15:10-DRB1*11:01  Israel YemenJews 0.003215,542
 82  A*68:02:01-B*15:10:01-C*03:04:02-DRB1*13:03:01-DQB1*02:02:01  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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