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 6,524) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 66  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*01:01-DQA1*01:01-DQB1*05:01  Slovenia pop 2 21.4000140
 2  DRB1*01:01-DQB1*05:01  Germany pop 3 14.4000111
 3  DRB1*01:01-DQA1*01:01-DQB1*05:01  England pop 6 10.2000177
 4  DRB1*01:01-DQB1*05:01  Iran pop 2 10.0000120
 5  DRB1*01:01-DQB1*05:01  Sweden Southern Sami 9.2000130
 6  DRB1*01:01-DQA1*01:01-DQB1*05:01  USA European American 9.05001,899
 7  DRB1*01:01-DQA1*01:01/01:04/01:05-DQB1*05:01  Russia Tuva pop3 9.000044
 8  DRB1*01:01-DQB1*05:01  Sweden Northern Sami 9.0000154
 9  DRB1*01:01-DQB1*05:01  Georgia Caucasus Tbilisi 8.8235119
 10  DRB1*01:01-DQA1*01:01-DQB1*05:01  Italy Sardinia Sassari 8.800091
 11  DRB1*01:01-DQA1*01:01-DQB1*05:01  Russia Northwest Slavic 8.5000200
 12  DRB1*01:01-DQA1*01:01-DQB1*05:01  Italy Sardinia Tempio 8.200091
 13  DRB1*01:01-DQA1*01:01-DQB1*05:01  Mongolia Tarialan Khoton 8.100085
 14  DRB1*01:01-DQB1*05:01:01  China Yunnan Province Lahu 7.100070
 15  DRB1*01:01-DQA1*01:01-DQB1*05:01  Iran 7.000058
 16  DRB1*01:01-DQB1*05:01  Cretan Islanders 6.8548124
 17  DRB1*01:01-DQA1*01:01/01:04/01:05-DQB1*05:01  Russia Siberia Khanty Mansi 6.600068
 18  DRB1*01:01-DQA1*01:01-DPA1*01:03-DPB1*04:01  Spain Gipuzkoa Basque 6.6000100
 19  DRB1*01:01-DQB1*05:01  Japan Central 6.5000371
 20  DRB1*01:01-DQA1*01:01-DQB1*05:01  Spain Las Alpujarras 6.470085
 21  DRB1*01:01-DQA1*01:01:01-DQB1*05:01  South Korea pop 5 6.4000467
 22  DRB1*01:01-DQA1*01:01-DQB1*05:01  USA San Francisco Caucasian 6.4000220
 23  DRB1*01:01-DQA1*01:01-DQB1*05:01  Italy Sardinia Cagliari 6.300087
 24  DRB1*01:01-DQA1*01:01-DQB1*05:01  Italy Sardinia Oristano 6.000091
 25  DRB1*01:01-DQA1*01:01-DQB1*05:01  South Korea pop 1 6.0000324
 26  DRB1*01:01-DQB1*05:01  Tunisia pop 2 6.0000111
 27  DRB1*01:01-DQB1*05:01  Macedonia pop 2 5.600080
 28  A*03-B*35-DRB1*01:01-DQB1*05:01  Russia Chuvash 5.500082
 29  DRB1*01:01-DQB1*05  Iran pop 3 5.5000100
 30  DRB1*01:01-DQA1*01:01/01:02-DQB1*05:01  Iran Yazd Zoroastrian 5.400065
 31  DRB1*01:01-DQA1*01:01-DQB1*05:01  Greece pop3 5.3000246
 32  DRB1*01:01-DQA1*01:01-DQB1*05:01  Italy Sardinia Lanusei 5.200087
 33  DRB1*01:01-DQB1*05:01  Tunisia Jerba Berber 4.900055
 34  DRB1*01:01-DPA1*01-DPB1*04:02  Mongolia Tarialan Khoton 4.700085
 35  DRB1*01:01-DQB1*05:01-DPB1*04:02  Mongolia Tarialan Khoton 4.700085
 36  DRB1*01:01-DQA1*01:01-DQB1*05:01  Japan pop 2 4.6000916
 37  DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*05:01  South Korea pop 11 4.6000149
 38  DRB1*01:01-DQA1*01:01/01:04/01:05-DQB1*05:01  Russia Tuva Todja 4.500022
 39  DRB1*01:01-DQB1*05:01  Spain Tenerife Island 4.410083
 40  DRB1*01:01-DQA1*01:01-DQB1*05:01  Turkey pop 1 4.4000250
 41  DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 4.17401,999
 42  DRB1*01:01-DQB1*05:01  Italy pop 5 4.0600975
 43  A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 4.0457192
 44  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:02  Japan Central 4.0000371
 45  DRB1*01:01-DQA1*01:01/01:04/01:05-DQB1*05:01  Russia Siberia Khabarovsk Evenki 4.000025
 46  DRB1*01:01-DQB1*05:01-DMB*01:01  Ecuadorean Amerindians 4.000075
 47  A*02:01-B*40:01-C*03:04-DRB1*01:01  Russia Bering Island Aleuts 3.8462104
 48  A*02:01-B*15:01-DRB1*01:01  Sweden Northern Sami 3.8000154
 49  DRB1*01:01-DQA1*01:01-DQB1*05:01  Italy Sardinia Sorgono 3.800093
 50  A*24:02-B*07:02-C*07:02-DRB1*01:01  Japan pop 16 3.722018,604
 51  DRB1*01:01-DQA1*01:01/01:04-DQB1*05:01  Australia New South Wales Aborigine 3.6000177
 52  DRB1*01:01-DQA1*01:01-DQB1*05:01  China Urumqi Kazak 3.600042
 53  A*24:02-B*07:02-C*07:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Japanese 3.522324,582
 54  DRB1*01:01-DQA1*01:01/01:04/01:05-DQB1*05:01  Russia Siberia Irkutsk Tofalar 3.500043
 55  DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  South Korea pop 2 3.5000207
 56  DRB1*01:01-DQB1*05:01-DPB1*04:01  Greece pop3 3.5000246
 57  A*02:01-B*35:01-DRB1*01:01-DQB1*05:01  Iran Saqqez-Baneh Kurds 3.333360
 58  A*02:01-B*35:01-DRB1*01:01-DQB1*05:01  Iran Kurd pop 2 3.300060
 59  DRB1*01:01-DQB1*05:01-DPB1*04:01  Mongolia Tarialan Khoton 3.300085
 60  B*07:02-DRB1*01:01-DQB1*05:01  South Korea pop 3 3.2000485
 61  DRB1*01:01-DQA1*01:01-DPA1*01:03-DPB1*04:01  Spain Catalonia Girona 3.200088
 62  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 3.19003,078
 63  A*03:01-B*35:01-DRB1*01:01  Sweden Southern Sami 3.1000130
 64  B*07:02-C*07:02-DRB1*01:01  South Korea pop 3 3.1000485
 65  DRB1*01:01-DPA1*01-DPB1*04:01  Mongolia Tarialan Khoton 3.100085
 66  DRB1*01:01-DQA1*01:01-DQB1*05:01  India Northeast Rajbanshi 3.100098
 67  DRB1*01:01-DQB1*05:01-DPB1*04:02  South Korea pop 1 3.1000324
 68  A*24:02-B*07:02-DRB1*01:01  South Korea pop 3 3.0000485
 69  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 2.941268
 70  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  South Korea pop 3 2.9000485
 71  DRB1*01:01-DQA1*01:01/01:04/01:05-DQB1*05:01  Russia Siberia Negidal 2.900035
 72  DRB1*01:01-DQA1*01:01-DQB1*05:01  India Northeast Mathur 2.9000155
 73  DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  South Korea pop 1 2.9000324
 74  A*03:01-B*44:02-DRB1*01:01  Sweden Northern Sami 2.8000154
 75  DRB1*01:01-DQA1*01:01-DQB1*05:01  India Northeast Shia 2.8000190
 76  DRB1*01:01-DQB1*05:01-DPB1*04:01  Ireland South 2.8000250
 77  DRB1*01:01-DQB1*05:01  USA African American pop 4 2.73202,411
 78  A*24:02-B*07:02-DRB1*01:01  South Korea pop 10 2.73004,128
 79  DRB1*01:01:01-DQB1*05:01  China Inner Mongolia Autonomous Region Northeast 2.7210496
 80  A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 2.57951,510
 81  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 2.5210119
 82  A*03:01-B*35:01-DRB1*01:01  Armenia combined Regions 2.5000100
 83  DRB1*01:01-DQA1*01:01/01:04-DQB1*05:01  Mexico Guanajuato and Jalisco Mestizo 2.5000101
 84  DRB1*01:01-DQA1*01:01-DQB1*05:01  Tunisia 2.5000100
 85  DRB1*01:01-DQA1*01:01-DQB1*05:01  Equatorial Guinea Bioko Island Bubi 2.5000100
 86  DRB1*01:01-DQB1*05:01  Tunisia 2.5000100
 87  A*24:02:01-B*15:01:01-C*03:03:01-DRB1*01:01  Costa Rica Amerindians (G) 2.4478125
 88  A*03:01-B*35:01-C*04:01-DRB1*01:01  Russia Bering Island Aleuts 2.4038104
 89  DRB1*01:01-DQA1*01:01-DQB1*05:01  Mongolia Ulaanbaatar Khalkha 2.400041
 90  DRB1*01:01-DQB1*05:01-DPB1*04:02  Ireland South 2.4000250
 91  DRB1*01:01-DQB1*05:01  USA Asian pop 2 2.38301,772
 92  A*02:01-B*27:05-DRB1*01:01  New Zealand Polynesians with Full Ancestry 2.381021
 93  DRB1*01:01-DQA1*01:01-DQB1*05:01  Russia Siberia Sulamai Ket 2.300022
 94  DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*05:01  South Korea pop 1 2.3000324
 95  DRB1*01:01-DQA1*03-DQB1*03:01  Russia Siberia Sulamai Ket 2.300022
 96  DRB1*01:01-DQB1*05:01-DPB1*05:01  South Korea pop 1 2.3000324
 97  A*24:02-B*07:02-C*07:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Korean 2.257877,584
 98  A*02:01:01-B*35:01:01-DRB1*01:01  Portugal North 2.200046
 99  A*03:01:01-B*35:01:01-DRB1*01:01  Portugal North 2.200046
 100  DRB1*01:01-DQA1*01:01-DQB1*05:01  Congo Kinshasa Bantu 2.200090

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 6,524) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 66  


   

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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