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 100 (from 117) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*26:01-B*45:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Mexico Tixcacaltuyub Maya 1.492567
 2  A*02:01:01-B*45:01-DRB1*07:01:01  Portugal North 1.100046
 3  A*29:02:01-B*45:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:02:01  Brazil Rio de Janeiro Parda 0.5882170
 4  A*01:01-B*45:01-C*06:02-DRB1*07:01-DQA1*01:02-DQB1*06:09-DPB1*03:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 5  A*30:02-B*45:01-C*06:11-DRB1*07:01-DQA1*02:01-DQB1*06:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 6  A*30:02-B*45:01-C*16:01-DRB1*07:01-DQA1*04:01-DQB1*02:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 7  A*01:01-B*45:01-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*55:01  Tanzania Maasai 0.4792336
 8  A*26:01-B*45:01-DRB1*07:01  New Zealand Maori with Admixed History 0.4762105
 9  A*23:02-B*45:01-C*15:02-E*01:03:02-F*01:03:01-G*01:01-DRB1*07:01-DQA1*01:03-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 10  A*29:02-B*45:01-C*06:02-E*01:01:01-F*01:03:01-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*03:03:02  Portugal Azores Terceira Island 0.4386130
 11  B*45:01-C*06:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo pop 2 0.4300234
 12  A*26:01-B*45:01-C*06:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo pop 2 0.4274234
 13  A*24:02-B*45:01-C*06:02-DRB1*07:01  Brazil Vale do Ribeira Quilombos 0.3472144
 14  A*30:02-B*45:01-C*16:01-DRB1*07:01  Brazil Vale do Ribeira Quilombos 0.3472144
 15  A*30:02:01-B*45:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:01:01-DPA1*03:01:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 16  A*32:01:01-B*45:01:01-C*07:01:02-DRB1*07:01:01-DQB1*02:02:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 17  A*29:02-B*45:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 18  A*23:01-B*45:01-C*06:02-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Chinese 0.2577194
 19  A*01:01:01-B*45:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Spain, Canary Islands, Gran canaria island 0.2300215
 20  A*03:01:01-B*45:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 21  A*23:01-B*45:01-C*06:02-DRB1*07:01:01-DQB1*02:01  England North West 0.2000298
 22  A*24:02:01-B*45:01:01-C*03:04:01-DRB1*07:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 23  A*24:02:01-B*45:01:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 24  A*30:02:01-B*45:01:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 25  A*68:02:01-B*45:01:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:04-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 26  A*26:01-B*45:01-C*06:02-DRB1*07:01  Germany DKMS - Spain minority 0.18101,107
 27  A*29:02-B*45:01-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*03:01  Tanzania Maasai 0.1597336
 28  A*68:01-B*45:01-DRB1*07:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 29  A*02:01-B*45:01-C*16:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.14001,999
 30  A*02:11:01-B*45:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 31  A*02:01-B*45:01-C*16:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.13102,411
 32  A*23:01-B*45:01-C*06:02-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.13102,411
 33  A*30:02-B*45:01-C*16:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.13102,411
 34  A*02:01-B*45:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*05:01  Russia Karelia 0.11201,075
 35  A*23:01-B*45:01-C*06:02-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.1052951
 36  A*23:01:01-B*45:01:01-C*06:02:01-DRB1*07:01:01-DPB1*09:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.09495,266
 37  A*23:01-B*45:01-DRB1*07:01  Hong Kong Chinese cord blood registry 0.08953,892
 38  A*23:01-B*45:01-C*06:02-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.08901,772
 39  A*01:01-B*45:01-C*16:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.08601,159
 40  A*29:02-B*45:01-C*06:02-DRB1*07:01  Germany DKMS - Portugal minority 0.08101,176
 41  A*68:02-B*45:01-C*06:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.06841,463
 42  A*23:01:01-B*45:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.05771,734
 43  A*01:01-B*45:01-C*07:02-DRB1*07:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.05641,075
 44  A*03:01-B*45:01-C*06:02-DRB1*07:01  Germany DKMS - Netherlands minority 0.05301,374
 45  A*02:02-B*45:01-C*06:02-DRB1*07:01-DQB1*02:01  Malaysia Peninsular Malay 0.0526951
 46  A*23:01-B*45:01-C*04:01-DRB1*07:01-DQB1*02:01  Malaysia Peninsular Malay 0.0526951
 47  A*02:01-B*45:01-C*06:02-DRB1*07:01  Germany DKMS - United Kingdom minority 0.04801,043
 48  A*29:02-B*45:01-C*06:02-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 49  A*24:02-B*45:01-C*16:01-DRB1*07:01  Germany DKMS - Spain minority 0.04501,107
 50  A*29:02-B*45:01-C*16:01-DRB1*07:01  Germany DKMS - Spain minority 0.04501,107
 51  A*68:01-B*45:01-C*06:02-DRB1*07:01  Germany DKMS - Spain minority 0.04501,107
 52  A*03:01-B*45:01-C*16:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.04402,411
 53  A*29:02-B*45:01-C*16:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.04402,411
 54  A*30:02-B*45:01-C*06:02-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.04402,411
 55  A*02:01-B*45:01-C*06:02-DRB1*07:01  Germany DKMS - Portugal minority 0.04301,176
 56  A*01:01-B*45:01-C*06:02-DRB1*07:01  Germany DKMS - Romania minority 0.04101,234
 57  A*02:01-B*45:01-C*06:02-DRB1*07:01  Germany DKMS - France minority 0.03901,406
 58  A*23:01-B*45:01-C*06:02-DRB1*07:01  Hong Kong Chinese BMDR 0.03827,595
 59  A*26:01-B*45:01-C*06:02-DRB1*07:01  Germany DKMS - Netherlands minority 0.03601,374
 60  A*31:01-B*45:01-C*06:02-DRB1*07:01  Germany DKMS - France minority 0.03601,406
 61  A*02:01-B*45:01-C*16:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 62  A*03:01-B*45:01-C*06:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 63  A*23:01-B*45:01-C*06:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 64  A*24:02-B*45:01-C*16:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 65  A*26:01-B*45:01-C*06:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 66  A*11:01-B*45:01-C*06:02-DRB1*07:01  Hong Kong Chinese BMDR 0.03297,595
 67  A*24:02-B*45:01-DRB1*07:01  Israel Morocco Jews 0.032936,718
 68  A*68:02-B*45:01-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.03104,856
 69  A*02:01-B*45:01-C*06:02-DRB1*07:01  Germany DKMS - Austria minority 0.03001,698
 70  A*11:01-B*45:01-DRB1*07:01  Hong Kong Chinese cord blood registry 0.02573,892
 71  A*29:02-B*45:01-C*06:02-DRB1*07:01  Germany DKMS - Croatia minority 0.02402,057
 72  A*30:02-B*45:01-DRB1*07:01  Israel Morocco Jews 0.022036,718
 73  A*03:01-B*45:01-C*16:01-DRB1*07:01-DQB1*02:02  India East UCBB 0.02082,403
 74  A*29:02-B*45:01-C*06:02-DRB1*07:01  Poland DKMS 0.019920,653
 75  A*24:02-B*45:01-DRB1*07:01  Israel Tunisia Jews 0.01669,070
 76  A*24:02-B*45:01-DRB1*07:01  Israel Libya Jews 0.01343,739
 77  A*02:01-B*45:01-DRB1*07:01  Israel Argentina Jews 0.01184,307
 78  A*29:02:01-B*45:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.011723,595
 79  A*30:02-B*45:01-DRB1*07:01  Israel Argentina Jews 0.01164,307
 80  A*01:01-B*45:01-DRB1*07:01  Israel Tunisia Jews 0.01119,070
 81  A*03:02-B*45:01-DRB1*07:01  Israel Argentina Jews 0.01094,307
 82  A*02:01-B*45:01-DRB1*07:01  Israel Ashkenazi Jews pop 3 0.01084,625
 83  A*01:01-B*45:01-DRB1*07:01  Israel Arab pop 2 0.008112,301
 84  A*68:02-B*45:01-DRB1*07:01  Israel Arab pop 2 0.007412,301
 85  A*30:01-B*45:01-DRB1*07:01  Israel Arab pop 2 0.006712,301
 86  A*33:01-B*45:01-DRB1*07:01  Israel USA Jews 0.00666,058
 87  A*26:01:01-B*45:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.006323,595
 88  A*02:02-B*45:01-DRB1*07:01  Israel Tunisia Jews 0.00619,070
 89  A*29:01-B*45:01-DRB1*07:01  Israel Iran Jews 0.00618,153
 90  A*26:01-B*45:01-C*06:02-DRB1*07:01  Poland DKMS 0.005720,653
 91  A*30:01-B*45:01-DRB1*07:01  Israel Tunisia Jews 0.00489,070
 92  A*69:01-B*45:01-DRB1*07:01  Israel Arab pop 2 0.004712,301
 93  A*03:02-B*45:01-DRB1*07:01  Israel Arab pop 2 0.004312,301
 94  A*02:02-B*45:01-DRB1*07:01  Israel Morocco Jews 0.004336,718
 95  A*29:01-B*45:01-DRB1*07:01  Israel Morocco Jews 0.004236,718
 96  A*03:04-B*45:01-DRB1*07:01  Israel USA Jews 0.00416,058
 97  A*24:04-B*45:01-DRB1*07:01  Israel Morocco Jews 0.004136,718
 98  A*01:01-B*45:01-C*06:02-DRB1*07:01  Poland DKMS 0.003920,653
 99  A*32:01-B*45:01-DRB1*07:01  Israel Poland Jews 0.003613,871
 100  A*02:01-B*45:01-DRB1*07:01  Israel USSR Jews 0.003345,681

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).


Displaying 1 to 100 (from 117) records   Pages: 1 2 of 2  


   

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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