Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 214) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*04:01-DQA1*03-DQB1*03:01  Russia Siberia Chukotka Peninsula Chukchi 26.700059
 2  DRB1*04:01-DQA1*03-DQB1*03:01  Russia Siberia Chukotka Peninsula Eskimo 25.000080
 3  DRB1*04:01-DQA1*03-DQB1*03:01  Russia Siberia North East Kamchatka Koryak 15.800092
 4  DRB1*12:01-DQA1*03-DQB1*03:01  Russia Siberia Sulamai Ket 13.600022
 5  DRB1*14:03-DQA1*03-DQB1*03:01  Russia Siberia Polygus Evenk 12.900035
 6  DRB1*04:01-DQA1*03:01-DQB1*03:01  Mongolia Ulaanbaatar Khalkha 11.000041
 7  DRB1*04:01-DQA1*03-DQB1*03:01/03:09  Russia Siberia Negidal 9.600035
 8  DRB1*04:01-DQA1*03-DQB1*03:01/03:09  Russia Siberia Kushun Buryat 8.000025
 9  DRB1*04:01-DQA1*03:01-DQB1*03:01  Mongolia Tarialan Khoton 7.800085
 10  DQA1*03-DQB1*03:01  Russia Tuva pop 2 6.0000169
 11  DQA1*03-DQB1*03:01  France Ceph 6.0000124
 12  DRB1*04:01-DQA1*03-DQB1*03:01  Russia Siberia Polygus Evenk 5.700035
 13  DRB1*09:01:02-DQA1*03-DQB1*03:01  Russia Siberia Polygus Evenk 5.700035
 14  DRB1*04:03-DQA1*03-DQB1*03:01  Russia Siberia North East Kamchatka Koryak 5.400092
 15  DRB1*04:01-DQA1*03:01-DQB1*03:01  Spain Las Alpujarras 5.290085
 16  DRB1*04:01-DQA1*03:02-DQB1*03:01  USA European American 5.29001,899
 17  DRB1*09:01-DQA1*03:01-DQB1*03:01  India Northeast Lachung 5.100058
 18  DRB1*04:01-DQA1*03-DQB1*03:01  Russia Siberia Gvaysugi Udege 4.800025
 19  DRB1*04:01-DQA1*03-DQB1*03:01/03:09  Russia Siberia Irkutsk Tofalar 4.700043
 20  DRB1*04:01-DQA1*03-DQB1*03:01/03:09  Russia Tuva pop3 4.500044
 21  DRB1*12:01/12:06-DQA1*03-DQB1*03:01/03:09  Russia Siberia Khanty Mansi 4.400068
 22  DRB1*12:01-DQA1*03-DQB1*03:01  Russia Siberia Polygus Evenk 4.300035
 23  DQA1*03-DQB1*03:01  China, Xinjiang Uyghur Autonomous Region Han 4.290070
 24  DQA1*03-DQB1*03:01  Belgium pop 2 4.1000715
 25  DRB1*04:01-DQA1*03-DQB1*03:01/03:09  Russia Siberia Ulchi 4.100073
 26  DRB1*04:01-DQA1*03:01/03:02-DQB1*03:01  England pop 6 4.0000177
 27  DRB1*08-DQA1*03:01-DQB1*03:01  India Northeast Mech 3.900063
 28  DQA1*03-DQB1*03:01  China, Xinjiang Uyghur Autonomous Region Kazakh 3.850052
 29  DRB1*04:07-DQA1*03:01-DQB1*03:01  Iran Yazd Zoroastrian 3.800065
 30  DRB1*14:02-DQA1*03-DQB1*03:01  Russia Siberia North East Kamchatka Koryak 3.800092
 31  DRB1*04-DQA1*03:01-DQB1*03:01  Russia Mari 3.5000202
 32  DRB1*11:06-DQA1*03-DQB1*03:01/03:09  Russia Siberia Ulchi 3.400073
 33  DRB1*09:01:02-DQA1*03-DQB1*03:01  Russia Siberia North East Kamchatka Koryak 3.300092
 34  DRB1*04:01-DRB4*01:01-DQA1*03:01-DQB1*03:01-DPB1*04:01  USA San Francisco Caucasian 3.2000220
 35  DRB1*04:01-DRB4*01:01-DQA1*03:01-DQB1*03:01-DPB1*04:01  USA San Francisco Caucasian 3.2000220
 36  DRB1*04:03-DQA1*03:01-DQB1*03:01  Iran Yazd Zoroastrian 3.100065
 37  DRB1*04:01-DQA1*03:01-DQB1*03:01  USA San Francisco Caucasian 3.0000220
 38  DRB1*11:01:01-DQA1*03-DQB1*03:01  Russia Siberia Polygus Evenk 2.900035
 39  DQA1*03-DQB1*03:01  China, Xinjiang Uyghur Autonomous Region Uyghur 2.820071
 40  DRB1*04-DQA1*03:01-DQB1*03:01  Italy pop 2 2.800053
 41  DRB1*04-DQA1*03:01-DQB1*03:01  Russia Smolensk 2.6000156
 42  DRB1*04-DQA1*03:01-DQB1*03:01  Ukraine Khmelnytskyi 2.5000138
 43  DRB1*08-DQA1*03:01-DQB1*03:01  India Northeast Rajbanshi 2.500098
 44  DRB1*04:08-DQA1*03:01-DQB1*03:01  China Urumqi Kazak 2.400042
 45  DRB1*14:02-DQA1*03-DQB1*03:01  Russia Siberia Gvaysugi Udege 2.400025
 46  DRB1*01:01-DQA1*03-DQB1*03:01  Russia Siberia Sulamai Ket 2.300022
 47  DRB1*04:01-DQA1*03-DQB1*03:01  Russia Siberia Sulamai Ket 2.300022
 48  DRB1*04:01-DQA1*03-DQB1*03:01/03:09  Russia Tuva Todja 2.300022
 49  DRB1*04:03-DQA1*03-DQB1*03:01/03:09  Russia Tuva Todja 2.300022
 50  DRB1*04:05-DQA1*03-DQB1*03:01/03:09  Russia Siberia Irkutsk Tofalar 2.300043
 51  DRB1*11:01-DQA1*03-DQB1*03:01/03:09  Russia Tuva Todja 2.300022
 52  DRB1*12:01/12:06-DQA1*03-DQB1*03:01/03:09  Russia Tuva Todja 2.300022
 53  DRB1*04:01-DQA1*03:01/03:02/03:03-DQB1*03:01/03:09  Russia Siberia Dudinka Nganasan 2.100024
 54  DRB1*04-DQA1*03:01-DQB1*03:01  Belarus Gomel Region 2.1000100
 55  DRB1*04:01-DQA1*03:01-DQB1*03:01  Russia Northwest Slavic 2.0000200
 56  DRB1*04:05-DQA1*03-DQB1*03:01/03:09  Russia Siberia Khabarovsk Evenki 2.000025
 57  DRB1*04-DQA1*03:01-DQB1*03:01  Ukraine Lvov 2.0000102
 58  DRB1*04-DQA1*03:01-DQB1*03:01  Belarus Brest Region 1.9000105
 59  DRB1*04:03/04:04/04:06/04:07/04:08-DQA1*03:01/03:02-DQB1*03:01  England pop 6 1.7000177
 60  DRB1*04-DQA1*03:01-DQB1*03:01  Russia Vologda 1.7000121
 61  DRB1*14:01-DQA1*03-DQB1*03:01  Russia Siberia Chukotka Peninsula Chukchi 1.700059
 62  DRB1*04-DQA1*03:01-DQB1*03:01  Russia Kostroma Region 1.6000126
 63  DRB1*04-DQA1*03:01-DQB1*03:01  Belarus Vitebsk Region 1.500070
 64  DRB1*09:01-DQA1*03:01-DQB1*03:01  India Northeast Mech 1.500063
 65  DRB1*04:01-DQA1*03:01-DQB1*03:01  Slovenia pop 2 1.4000140
 66  DRB1*04:03-DQA1*03-DQB1*03:01  Russia Siberia Polygus Evenk 1.400035
 67  DRB1*04:07-DQA1*03:01-DQB1*03:01  Slovenia pop 2 1.4000140
 68  DRB1*04:10-DQA1*03-DQB1*03:01/03:09  Russia Siberia Negidal 1.400035
 69  DRB1*04-DQA1*03:03-DQB1*03:01  Czech Republic pop 3 1.4000180
 70  DRB1*12:01/12:06-DQA1*03-DQB1*03:01/03:09  Russia Siberia Negidal 1.400035
 71  DRB1*12:01/12:06-DQA1*03-DQB1*03:01/03:09  Russia Siberia Ulchi 1.400073
 72  DRB1*15:01-DQA1*03-DQB1*03:01  Russia Siberia Polygus Evenk 1.400035
 73  A*24:02-B*40:02-C*07:01-DRB1*04:04-DQA1*03:01-DQB1*03:01  Brazil Puyanawa 1.3333150
 74  A*02-B*13-DRB1*07-DQA1*03-DQB1*03:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 1.3100112
 75  DRB1*04:07-DQA1*03:01-DQB1*03:01  Mexico Highlands Mestizos 1.3000160
 76  A*68:01-B*40:04-C*03:02/03:04-DRB1*04:03-DQA1*03:01:01-DQB1*03:01-DPA1*02-DPB1*04:02  Venezuela Sierra de Perija Yucpa 1.200073
 77  DQA1*03-DQB1*03:01  Japan Fukuoka 1.200086
 78  DRB1*04-DQA1*03:01-DQB1*03:01  Russia Arkhangelsk 1.200081
 79  DRB1*12:01/12:06-DQA1*03-DQB1*03:01/03:09  Russia Siberia Irkutsk Tofalar 1.200043
 80  DRB1*04:01-DQA1*03:01-DQB1*03:01  Japan pop 2 1.1000916
 81  DRB1*04:04-DQA1*03:01-DQB1*03:01  Australia New South Wales Aborigine 1.1000177
 82  DRB1*04:08-DQA1*03-DQB1*03:01/03:09  Russia Tuva pop3 1.100044
 83  A*68:01-B*35:20-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 84  DRB1*04:11-DQA1*03-DQB1*03:01  Argentina Gran Chaco Mataco Wichi 1.000049
 85  A*32-B*07-DRB1*04-DQA1*03-DQB1*03:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.8900112
 86  DRB1*04:07-DQA1*03:02-DQB1*03:01  USA European American 0.89001,899
 87  A*02:01-B*51:01-C*14:02-DRB1*04:07-DQA1*03:02-DQB1*03:01  Kosovo 0.8060124
 88  A*31:01-B*51:01-C*15:02-DRB1*04:04-DQA1*03:02-DQB1*03:01  Brazil Puyanawa 0.6667150
 89  DRB1*04:02-DQA1*03:01-DQB1*03:01  Spain Las Alpujarras 0.590085
 90  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQA1*03:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.5210496
 91  A*11:01-B*35:01-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:01-DPB1*03:01  USA San Diego 0.5210496
 92  A*68:02-B*45:01-C*07:02-DRB1*09:01-DQA1*03:01-DQB1*03:01-DPB1*129:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 93  A*03-B*51-DRB1*04-DQA1*03-DQB1*03:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 94  A*11-B*07-DRB1*04-DQA1*03-DQB1*03:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 95  A*24-B*50-DRB1*04-DQA1*03-DQB1*03:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 96  A*32-B*44-DRB1*04-DQA1*03-DQB1*03:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 97  A*32-B*50-DRB1*04-DQA1*03-DQB1*03:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 98  A*23:01-B*44:02-C*02:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*11:02-DQA1*03:02-DQB1*03:01  Portugal Azores Terceira Island 0.4386130
 99  A*23:01-B*44:02-C*05:01-E*01:03:01-F*01:03:01-G*01:01-DRB1*07:01-DQA1*03:03-DQB1*03:01  Portugal Azores Terceira Island 0.4386130
 100  A*24:02-B*50:01-C*04:01-E*01:01:01-F*01:03:01-G*01:04-DRB1*11:04-DQA1*03:01-DQB1*03:01  Portugal Azores Terceira Island 0.4386130

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 214) records   Pages: 1 2 3 of 3  


   

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.

support@allelefrequencies.net


Valid XHTML 1.0 Transitional