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 100 (from 1,521) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 16  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*68:01-B*39:09-C*07:02-DRB1*04:11-DQA1*03:01:01-DQB1*03:02-DPA1*01-DPB1*04:02  Venezuela Sierra de Perija Yucpa 33.700073
 2  DRB1*09:01:02-DQA1*03:01/03:02/03:03-DQB1*03:03:02  Russia Siberia Dudinka Nganasan 25.000024
 3  A*02:04-B*39:05-C*07:02-DRB1*04:11-DQA1*03:01:01-DQB1*03:02-DPA1*01-DPB1*04:02  Venezuela Sierra de Perija Yucpa 19.800073
 4  DRB1*04-DQA1*03:01-DQB1*03:02  Russia Arkhangelsk 14.800081
 5  DRB1*04:05-DQA1*03:01-DQB1*04:01  Japan pop 2 14.7000916
 6  DQA1*03:01-DQB1*03:02  Tunisia 14.3000100
 7  DRB1*04-DQA1*03:01-DQB1*03:02  Mexico Guadalajara Mestizo 13.900054
 8  DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Highlands Mestizos 13.1000160
 9  DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Guanajuato and Jalisco Mestizo 12.9000101
 10  DRB1*04:03-DQA1*03:01/03:02/03:03-DQB1*03:02  Russia Siberia Dudinka Nganasan 12.500024
 11  A*31:01-B*40:02-C*03:04-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 12.1560218
 12  A*68:03-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 11.940367
 13  DRB1*09:01:02-DQA1*03:01-DQB1*03:03  China Urumqi Han 11.900059
 14  DRB1*04-DQA1*03:01-DQB1*03:02  Russia Vologda 11.6000121
 15  DRB1*09-DQA1*03:01-DQB1*03:03  Russia Mari 11.4000202
 16  DRB1*04:01-DQA1*03:01-DQB1*03:01  Mongolia Ulaanbaatar Khalkha 11.000041
 17  DRB1*09:01:02-DQA1*03:01-DQB1*03:03  Japan pop 2 10.8000916
 18  DRB1*09:01-DQA1*03:01-DQB1*03:03:02  Canada British Columbia Athabaskan 10.500062
 19  DRB1*04:03-DQA1*03:01-DQB1*03:02  Canada British Columbia Athabaskan 9.600062
 20  DRB1*04-DQA1*03:01-DQB1*03:02  Belarus Brest Region 9.5000105
 21  DRB1*04-DQA1*03:01-DQB1*03:02  Russia Kostroma Region 9.5000126
 22  A*24:02-B*39:05-C*07:02-DRB1*04:03-DQA1*03:01:01-DQB1*03:02-DPA1*01-DPB1*04:02  Venezuela Sierra de Perija Yucpa 9.300073
 23  DRB1*04-DQA1*03:01-DQB1*03:02  Ukraine Lvov 9.3000102
 24  DRB1*04-DQA1*03:01-DQB1*03:02  Croatia Gorski Kotar Region 8.600063
 25  DRB1*04:01-DQA1*03:01/03:02-DQB1*03:02  England pop 6 8.2000177
 26  DRB1*04-DQA1*03:01-DQB1*03:02  Ukraine Khmelnytskyi 8.0000138
 27  DRB1*04-DQA1*03:01-DQB1*03:02  Belarus Gomel Region 7.9000100
 28  DRB1*04:01-DQA1*03:01-DQB1*03:01  Mongolia Tarialan Khoton 7.800085
 29  DRB1*04:02-DQA1*03:01-DQB1*03:03  Iran Azeri 7.5000100
 30  DRB1*04-DQA1*03:01:01-DQB1*03:02  Iran 7.000058
 31  DRB1*04-DQA1*03:01-DQB1*03:02  Czech Republic pop 3 6.9000180
 32  DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*05:01  China Canton Han 6.8000264
 33  DRB1*04:02-DQA1*03:01-DQB1*03:02  Morocco Settat Chaouya 6.200098
 34  DRB1*04-DQA1*03:01-DQB1*03:02  Russia Smolensk 6.1000156
 35  DRB1*04:03-DQA1*03:01-DQB1*03:03  Iran Kurd 5.5000100
 36  DRB1*04-DQA1*03:01-DQB1*03:02  Belarus Vitebsk Region 5.500070
 37  DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Guanajuato and Jalisco Mestizo 5.4000101
 38  DRB1*04:06-DQA1*03:01-DQB1*03:02  South Korea pop 1 5.4000324
 39  DRB1*04:01-DQA1*03:01-DQB1*03:01  Spain Las Alpujarras 5.290085
 40  DRB1*04:03/04:04/04:06/04:07/04:08-DQA1*03:01/03:02-DQB1*03:02  England pop 6 5.1000177
 41  DRB1*04:05-DQA1*03:01-DQB1*04:01  China Urumqi Han 5.100059
 42  DRB1*09:01-DQA1*03:01-DQB1*03:01  India Northeast Lachung 5.100058
 43  DRB1*04:02-DQA1*03:01-DQB1*03:03  Iran Kurd 5.0000100
 44  DRB1*04:05-DQA1*03:01-DQB1*03:02  Italy Sardinia Carbonia 4.900091
 45  DRB1*09:01:02-DQA1*03:01-DQB1*03:03  China Urumqi Kazak 4.800042
 46  A*02:04-B*39:05-C*07:02-DRB1*04:11-DQA1*03:01:01-DQB1*03:02-DPA1*01-DPB1*14:01  Venezuela Sierra de Perija Yucpa 4.700073
 47  DRB1*04:05-DQA1*03:01-DQB1*04:01  Mongolia Tarialan Khoton 4.700085
 48  DRB1*04-DQA1*03:01-DQB1*03:02  Italy pop 2 4.700053
 49  DRB1*04:02-DQA1*03:01-DQB1*03:02  Italy Sardinia Lanusei 4.600087
 50  DRB1*04:03-DQA1*03:01-DQB1*03:03  Iran Yazd Zoroastrian 4.600065
 51  DRB1*04:05-DQA1*03:01-DQB1*03:02  Italy Sardinia Cagliari 4.600087
 52  A*02:06-B*35:01-C*07:02-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 4.5872218
 53  DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Nuevo Leon Mestizo 4.500040
 54  DRB1*04-DQA1*03:01-DQB1*03:02  Russia Mari 4.5000202
 55  DRB1*04:06-DQA1*03:01-DQB1*03:02-DPB1*02:01  South Korea pop 11 4.4000149
 56  DRB1*04:01-DQA1*03:01-DQB1*03:02  USA European American 4.22001,899
 57  DRB1*04:01-DQA1*03:01-DQB1*03:02  Slovenia pop 2 4.2000140
 58  DRB1*04:06-DQA1*03:01-DQB1*03:02  China Urumqi Han 4.200059
 59  A*24:02-B*35:12-C*04:01-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 4.1284218
 60  A*68:01-B*39:05-C*07:02-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 4.1284218
 61  A*68:01-B*40:08-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 4.1284218
 62  DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Highlands Mestizos 4.1000160
 63  DRB1*04:01-DQA1*03:01/03:02-DQB1*03:01  England pop 6 4.0000177
 64  DRB1*04:01-DQA1*03:01-DQB1*03:02  Russia Northwest Slavic 4.0000200
 65  DRB1*04:06-DQA1*03:01:01-DQB1*03:02  South Korea pop 5 4.0000467
 66  DRB1*04:10-DQA1*03:01-DQB1*04:02  Canada British Columbia Athabaskan 4.000062
 67  DRB1*11:01-DQA1*03:01-DQB1*05:01  India Northeast Rajbanshi 4.000098
 68  DRB1*04:01-DQA1*03:01-DQB1*03:02  USA San Francisco Caucasian 3.9000220
 69  DRB1*08-DQA1*03:01-DQB1*03:01  India Northeast Mech 3.900063
 70  DRB1*04:04-DQA1*03:01-DQB1*03:02  USA European American 3.87001,899
 71  DRB1*04:03-DQA1*03:01-DQB1*03:02  Italy Sardinia Sorgono 3.800093
 72  DRB1*04:03-DQA1*03:01-DQB1*03:04  Italy Sardinia Sorgono 3.800093
 73  DRB1*04:05-DQA1*03:01-DQB1*03:02  Italy Sardinia Oristano 3.800091
 74  DRB1*04:05-DQA1*03:01-DQB1*03:02  Morocco Souss Region 3.800098
 75  DRB1*04:07-DQA1*03:01-DQB1*03:01  Iran Yazd Zoroastrian 3.800065
 76  A*68:03-B*35:12-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 3.731367
 77  DRB1*04-DQA1*03:01-DQB1*03:03  Mexico Guadalajara Mestizo 3.700054
 78  DRB1*08:02-DQA1*03:01-DQB1*03:02  China Urumqi Kazak 3.600042
 79  DRB1*04:03-DQA1*03:01-DQB1*03:02  Tunisia 3.5000100
 80  DRB1*04-DQA1*03:01-DQB1*03:01  Russia Mari 3.5000202
 81  A*68:03-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 3.4404218
 82  DRB1*04:06-DQA1*03:01-DQB1*03:02-DPB1*02:01  South Korea pop 1 3.4000324
 83  DRB1*04:03-DQA1*03:01:01-DQB1*03:02  South Korea pop 5 3.3000467
 84  DRB1*04:03-DQA1*03:01-DQB1*03:02  Italy Sardinia Sassari 3.300091
 85  DRB1*04:03-DQA1*03:01-DQB1*03:04  Italy Sardinia Oristano 3.300091
 86  DRB1*04:05-DQA1*03:01-DQB1*03:02  Italy Sardinia Sassari 3.300091
 87  DRB1*04:05-DQA1*03:01-DQB1*03:02  Italy Sardinia Tempio 3.300091
 88  DRB1*04:01-DRB4*01:01-DQA1*03:01-DQB1*03:01-DPB1*04:01  USA San Francisco Caucasian 3.2000220
 89  DRB1*04:01-DRB4*01:01-DQA1*03:01-DQB1*03:01-DPB1*04:01  USA San Francisco Caucasian 3.2000220
 90  DRB1*04:06-DQA1*03:01-DQB1*03:02  Japan pop 2 3.2000916
 91  DQA1*03:01-DQB1*06:01  Papua New Guinea Highland pop2 3.100028
 92  DRB1*04:03-DQA1*03:01-DQB1*03:01  Iran Yazd Zoroastrian 3.100065
 93  DRB1*09-DQA1*03:01-DQB1*03:03  Russia Arkhangelsk 3.100081
 94  DRB1*04:01-DQA1*03:01-DQB1*03:01  USA San Francisco Caucasian 3.0000220
 95  DRB1*04:03-DQA1*03:01/03:02-DQB1*03:02  Ethiopia Oromo 3.000083
 96  DRB1*04:03-DQA1*03:01-DQB1*03:02  Russia Northwest Slavic 3.0000200
 97  DRB1*04:03-DQA1*03:01-DQB1*03:03  Iran Azeri 3.0000100
 98  DRB1*04:05-DQA1*03:01/03:02-DQB1*02  Ethiopia Oromo 3.000083
 99  DRB1*04:06-DQA1*03:01-DQB1*03:02-DPB1*02:01  South Korea pop 2 3.0000207
 100  DRB1*09:01-DQA1*03:01-DQB1*03:03  Mongolia Tarialan Khoton 3.000085

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 1,521) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 16  


   

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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