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 511) records   Pages: 1 2 3 4 5 6 of 6  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*14:02-DQA1*05:01-DQB1*03:01  Canada British Columbia Athabaskan 34.700062
 2  DQA1*05:01-DQB1*03:01  Gambia 34.2000146
 3  DRB1*14:02-DQA1*05:01-DQB1*03:01  Brazil Central Plateau Xavante 25.700074
 4  DRB1*16:02-DQA1*05:01-DQB1*03:01  Brazil Central Plateau Xavante 25.700074
 5  DRB1*11-DQA1*05:01-DQB1*03:01  Italy pop 2 23.600053
 6  DRB1*14:02-DQA1*05:01-DQB1*03:01  Argentina Gran Chaco Mataco Wichi 22.400049
 7  DQA1*05:01-DQB1*03:01  Israel Moroccan Jews 22.1000113
 8  DQA1*05:01-DQB1*03:01  Israel Ashkenazi Jews pop 2 22.0000132
 9  DRB1*14:06-DQA1*05:01-DQB1*03:01  Argentina Gran Chaco Western Toba Pilaga 21.000019
 10  DRB1*14:06-DQA1*05:01-DQB1*03:01  Argentina Gran Chaco Eastern Toba 20.7000135
 11  DQA1*05:01-DQB1*03:01  Russia Tuva pop 2 20.2000169
 12  DRB1*11:03/11:04-DQA1*05:01-DQB1*03:01  Iran Kurd 20.0000100
 13  DRB1*11:04-DQA1*05:01-DQB1*03:01  Greece pop3 19.7000246
 14  DRB1*11:01-DQA1*05:01/05:03/05:05-DQB1*03:01/03:09  Russia Siberia Dudinka Nganasan 18.800024
 15  DRB1*11-DQA1*05:01-DQB1*03:01  Ukraine Lvov 18.5000102
 16  DRB1*11-DQA1*05:01-DQB1*03:01  Ukraine Khmelnytskyi 18.1000138
 17  DRB1*12:01/12:06-DQA1*05:01/05:03/05:05-DQB1*03:01/03:09  Russia Siberia Lower Yenisey Ket 17.700017
 18  DRB1*12:01/12:06-DQA1*05:01/05:03/05:05-DQB1*03:01/03:09  Russia Siberia Irkutsk Tofalar 17.400043
 19  DRB1*11-DQA1*05:01-DQB1*03:01  Russia Smolensk 17.3000156
 20  DRB1*11:03/11:04-DQA1*05:01-DQB1*03:01  Iran Azeri 17.0000100
 21  DQA1*05:01-DQB1*03:01  Ecuador African 16.400058
 22  DQA1*05:01-DQB1*03:01  Ecuador Cayapa 16.3000183
 23  DRB1*14:03-DQA1*05:01-DQB1*03:01  Russia Siberia Sulamai Ket 15.900022
 24  DRB1*11-DQA1*05:01-DQB1*03:01  Belarus Gomel Region 15.7000100
 25  DRB1*14:06-DQA1*05:01-DQB1*03:01  Argentina Gran Chaco Mataco Wichi 15.300049
 26  DRB1*11-DQA1*05:01-DQB1*03:01  Belarus Vitebsk Region 15.000070
 27  DRB1*12:01/12:06-DQA1*05:01/05:03/05:05-DQB1*03:01/03:09  Russia Tuva Todja 13.700022
 28  DRB1*11:01:01-DQA1*05:01-DQB1*03:01  Slovenia pop 2 13.6000140
 29  DRB1*11-DQA1*05:01-DQB1*03:01  Belarus Brest Region 13.3000105
 30  DRB1*12:01/12:06-DQA1*05:01/05:03/05:05-DQB1*03:01/03:09  Russia Siberia Ulchi 13.000073
 31  DRB1*12:01/12:06-DQA1*05:01/05:03/05:05-DQB1*03:01/03:09  Russia Siberia Dudinka Nganasan 12.500024
 32  DQA1*05:01-DQB1*03:01  France Ceph 12.4000124
 33  DRB1*11:04:01-DQA1*05:01-DQB1*03:01  Slovenia pop 2 11.4000140
 34  DRB1*14:02-DQA1*05:01-DQB1*03:01  Russia Siberia Chukotka Peninsula Eskimo 11.300080
 35  DRB1*11-DQA1*05:01-DQB1*03:01  Croatia Gorski Kotar Region 11.100063
 36  DQA1*05:01-DQB1*03:01  China, Xinjiang Uyghur Autonomous Region Kazakh 10.580052
 37  DQA1*05:01-DQB1*03:01  China, Xinjiang Uyghur Autonomous Region Uyghur 10.560071
 38  DRB1*14:02-DQA1*05:01-DQB1*03:01  Argentina Gran Chaco Eastern Toba 10.4000135
 39  DRB1*12:01/12:06-DQA1*05:01/05:03/05:05-DQB1*03:01/03:09  Russia Tuva pop3 10.200044
 40  DQA1*05:01-DQB1*03:01  China, Xinjiang Uyghur Autonomous Region Han 10.000070
 41  DRB1*11:01-DQA1*05:01-DQB1*03:01  Turkey pop 1 9.8000250
 42  A*24-B*35:10-DRB1*16:02-DQA1*05:01-DQB1*03:01  Colombia Jaidukama 9.600039
 43  A*24-B*40-DRB1*14:02-DQA1*05:01-DQB1*03:01  Colombia Jaidukama 9.600039
 44  DRB1*14:02-DQA1*05:01-DQB1*03:01  Russia Siberia Gvaysugi Udege 9.500025
 45  DRB1*11:01-DQA1*05:01/05:03/05:05-DQB1*03:01/03:09  Russia Siberia Irkutsk Tofalar 9.300043
 46  DRB1*11:01-DQA1*05:01/05:03/05:05-DQB1*03:01/03:09  Russia Tuva Todja 9.100022
 47  DRB1*11-DQA1*05:01-DQB1*03:01  Russia Vologda 9.1000121
 48  DRB1*11:04-DQA1*05:01-DQB1*03:01  Iran Fars Parsi 8.900073
 49  DRB1*12:01-DQA1*05:01-DQB1*03:01  Canada British Columbia Athabaskan 8.900062
 50  DRB1*11:01-DQA1*05:01/05:03/05:05-DQB1*03:01/03:09  Russia Siberia Lower Yenisey Ket 8.800017
 51  DRB1*12:01/12:06-DQA1*05:01/05:03/05:05-DQB1*03:01/03:09  Russia Siberia Khanty Mansi 8.800068
 52  DRB1*11:01-DQA1*05:01-DQB1*03:01  Italy Sardinia Sorgono 8.600093
 53  DRB1*11:04-DQA1*05:01-DQB1*03:01  Italy Sardinia Cagliari 8.600087
 54  DRB1*14:02-DQA1*05:01-DQB1*03:01  Russia Siberia Chukotka Peninsula Chukchi 8.600059
 55  DQA1*05:01-DQB1*03:01  India Bombay 8.500059
 56  DRB1*11:01-DQA1*05:01-DQB1*03:01  Italy Sardinia Sassari 8.300091
 57  DRB1*14:02-DQA1*05:01-DQB1*03:01  Russia Siberia North East Kamchatka Koryak 8.200092
 58  DRB1*11-DQA1*05:01-DQB1*03:01  Russia Mari 8.0000202
 59  DRB1*12:01/12:06-DQA1*05:01/05:03/05:05-DQB1*03:01/03:09  Russia Siberia Khabarovsk Evenki 8.000025
 60  DRB1*14:02-DQA1*05:01-DQB1*03:01  Argentina Gran Chaco Western Toba Pilaga 7.900019
 61  A*24-B*35-DRB1*14:02-DQA1*05:01-DQB1*03:01  Colombia Jaidukama 7.700039
 62  DRB1*08:04-DQA1*05:01-DQB1*03:01  Ethiopia Amhara 7.700098
 63  DRB1*11:01-DQA1*05:01-DQB1*03:01  Greece pop3 7.7000246
 64  DRB1*11:02-DQA1*05:01-DQB1*03:01  Gabon Haut-Ogooue Dienga 7.6000167
 65  DQA1*05:01-DQB1*03:01  Uganda Baganda 7.500047
 66  DRB1*11-DQA1*05:01-DQB1*03:01  Morocco Souss Region 7.400098
 67  DRB1*11:04-DQA1*05:01-DQB1*03:01  Italy Sardinia Oristano 7.100091
 68  DRB1*12:01/12:06-DQA1*05:01/05:03/05:05-DQB1*03:01/03:09  Russia Siberia Negidal 7.100035
 69  A*24:02-B*35:12-C*04:01-DRB1*16:02-DQA1*05:01-DQB1*03:01-DPA1*01-DPB1*04:02  Venezuela Sierra de Perija Yucpa 7.000073
 70  DQA1*05:01-DQB1*03:01  Papua New Guinea Highland pop2 7.000028
 71  DRB1*11:01-DQA1*05:01-DQB1*03:01  Italy Sardinia Lanusei 6.900087
 72  DRB1*16:02-DQA1*05:01-DQB1*03:01  Mexico Guanajuato and Jalisco Mestizo 6.9000101
 73  DRB1*14:03-DQA1*05:01/05:03/05:05-DQB1*03:01/03:09  Russia Siberia Ulchi 6.800073
 74  DRB1*11:01-DQA1*05:01-DQB1*03:01  Italy Sardinia Oristano 6.600091
 75  DRB1*11:01-DQA1*05:01-DQB1*03:01  India Uttar Pradesh 6.6000202
 76  DRB1*11:01-DQA1*05:01-DQB1*03:01  Italy Sardinia Carbonia 6.600091
 77  DRB1*11:01-DQA1*05:01-DQB1*03:01  Iran Kurd 6.5000100
 78  DRB1*11:04-DQA1*05:01-DQB1*03:01  Turkey pop 1 6.4000250
 79  DRB1*14:06-DQA1*05:01-DQB1*03:01  Mexico Highlands Mestizos 6.3000160
 80  DQA1*05:01-DQB1*03:01  China, Xinjiang Uyghur Autonomous Region Hui 6.250040
 81  DRB1*04:05-DQA1*05:01-DQB1*03:01  Italy Sardinia Oristano 6.000091
 82  DRB1*11:01-DQA1*05:01-DQB1*03:01  Iran Azeri 6.0000100
 83  DRB1*11:06-DQA1*05:01/05:03/05:05-DQB1*03:01/03:09  Russia Siberia Khabarovsk Evenki 6.000025
 84  DRB1*11-DQA1*05:01-DQB1*03:01  Russia Kostroma Region 6.0000126
 85  DRB1*14:03-DQA1*05:01/05:03/05:05-DQB1*03:01/03:09  Russia Siberia Lower Yenisey Ket 5.900017
 86  DRB1*14:06-DQA1*05:01-DQB1*03:01  Mexico Guanajuato and Jalisco Mestizo 5.9000101
 87  A*02-B*40-DRB1*14:02-DQA1*05:01-DQB1*03:01  Colombia Jaidukama 5.800039
 88  A*24-B*39:05-DRB1*14:02-DQA1*05:01-DQB1*03:01  Colombia Jaidukama 5.800039
 89  A*24-B*40-DRB1*16:02-DQA1*05:01-DQB1*03:01  Colombia Jaidukama 5.800039
 90  DQA1*05:01-DQB1*03:01  Japan Fukuoka 5.800086
 91  A*24-B*35-DRB1*11-DQA1*05:01-DQB1*03:01  Georgia Svaneti Region Svan 5.700080
 92  DRB1*11:01-DQA1*05:01/05:03/05:05-DQB1*03:01/03:09  Russia Tuva pop3 5.700044
 93  DRB1*11:06-DQA1*05:01/05:03/05:05-DQB1*03:01/03:09  Russia Siberia Negidal 5.700035
 94  DRB1*14:02-DQA1*05:01/05:03/05:05-DQB1*03:01/03:09  Russia Siberia Negidal 5.700035
 95  DRB1*14-DQA1*05:01-DQB1*03:01  Mexico Guadalajara Mestizo 5.600054
 96  DRB1*16:02-DQA1*05:01-DQB1*03:01  Mexico Highlands Mestizos 5.6000160
 97  DRB1*11:01-DQA1*05:01-DQB1*03:01  USA European American 5.58001,899
 98  DRB1*11:01-DQA1*05:01-DQB1*03:01  Russia Northwest Slavic 5.5000200
 99  DRB1*11:01-DQA1*05:01-DQB1*03:01  Iran Fars Parsi 5.500073
 100  DRB1*11:06-DQA1*05:01/05:03/05:05-DQB1*03:01/03:09  Russia Siberia Ulchi 5.500073

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 511) records   Pages: 1 2 3 4 5 6 of 6  


   

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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