Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 415) records   Pages: 1 2 3 4 5 of 5  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DQA1*01:01-DQB1*05:03:01  Papua New Guinea Highland pop2 32.000028
 2  DRB1*14:01-DQA1*01:01-DQB1*05:03:01  Canada British Columbia Athabaskan 16.900062
 3  DQA1*01:01-DQB1*05:03:01  India Bombay 9.700059
 4  DRB1*14:01-DQA1*01:01-DQB1*05:03  Slovenia pop 2 7.9000140
 5  DRB1*13-DQA1*01:03-DQB1*05:03  Russia Arkhangelsk 5.500081
 6  DRB1*14:07-DQA1*01:01/01:04-DQB1*05:03  Australia New South Wales Aborigine 5.3000177
 7  DQA1*01:01-DQB1*05:03  China, Xinjiang Uyghur Autonomous Region Han 5.000070
 8  DRB1*14-DQA1*01:01-DQB1*05:03  Belarus Gomel Region 5.0000100
 9  DQA1*01:01-DQB1*05:03  China, Xinjiang Uyghur Autonomous Region Uyghur 4.930071
 10  DRB1*14:01-DQA1*01-DQB1*05:03  Italy Sardinia Oristano 4.900091
 11  DRB1*14:01-DQA1*01-DQB1*05:03  Italy Sardinia Tempio 4.900091
 12  DQA1*01:01-DQB1*05:03  Israel Moroccan Jews 4.8000113
 13  DRB1*14:01-DQA1*01:01/01:04/01:05-DQB1*05:03  Russia Siberia Ulchi 4.800073
 14  DRB1*14:01-DQA1*01:01-DQB1*05:03  Turkey pop 1 4.6000250
 15  DQA1*01:01-DQB1*05:03:01  France Ceph 4.4000124
 16  DRB1*14:01-DQA1*01:01-DQB1*05:03:01  Russia Siberia Chukotka Peninsula Eskimo 4.400080
 17  DQA1*01:01-DQB1*05:03:01  Israel Arab 4.2000109
 18  DRB1*14:01-DQA1*01:01/01:02-DQB1*05:03  Iran Kurd 4.0000100
 19  DRB1*14:01-DQA1*01-DQB1*05:03  Italy Sardinia Cagliari 4.000087
 20  DQA1*01:03-DQB1*05:03:01  Papua New Guinea Highland pop2 3.800028
 21  DRB1*14-DQA1*01:04-DQB1*05:03  Italy pop 2 3.800053
 22  DRB1*14:01-DQA1*01:01/01:02-DQB1*05:03  Iran Azeri 3.5000100
 23  DQA1*01:01-DQB1*05:03:01  Israel Yemenite Jews 3.400076
 24  DRB1*14:01-DQA1*01:01/01:02-DQB1*05:03  Iran Fars Parsi 3.400073
 25  DRB1*14:05-DQA1*01:01/01:04/01:05-DQB1*05:03  Russia Tuva pop3 3.400044
 26  DRB1*14:01-DQA1*01-DQB1*05:03  Italy Sardinia Sorgono 3.200093
 27  DRB1*14:01-DQA1*01:01/01:04-DQB1*05:03  Australia New South Wales Aborigine 3.1000177
 28  DRB1*14:01-DQA1*01:04-DQB1*05:03  India Northeast Lachung 3.100058
 29  DRB1*14:05-DQA1*01:04:01-DQB1*05:03:01  South Korea pop 5 3.1000467
 30  DRB1*14:14-DQA1*01:01/01:04-DQB1*05:03  Australia New South Wales Aborigine 3.1000177
 31  DQA1*01:01-DQB1*05:03:01  Russia Tuva pop 2 3.0000169
 32  DRB1*14:05-DQA1*01:04-DQB1*05:03:01-DPB1*05:01  South Korea pop 2 3.0000207
 33  DRB1*14-DQA1*01:01-DQB1*05:03  Russia Smolensk 2.9000156
 34  DRB1*14-DQA1*01:01-DQB1*05:03  Belarus Brest Region 2.9000105
 35  DRB1*14:01-DQA1*01-DQB1*05:03  Italy Sardinia Sassari 2.800091
 36  DRB1*14-DQA1*01:04-DQB1*05:03  Czech Republic pop 3 2.8000180
 37  DQA1*01:01-DQB1*05:03:01  Israel Libyan Jews 2.6000119
 38  DRB1*14:01-DQA1*01:01-DQB1*05:03  Japan pop 2 2.6000916
 39  DRB1*14:01-DQA1*01:01-DQB1*05:03:01  Russia Siberia Chukotka Peninsula Chukchi 2.600059
 40  DQA1*01:01-DQB1*05:03  China, Xinjiang Uyghur Autonomous Region Hui 2.500040
 41  DQA1*01:01-DQB1*05:03:01  Israel Iranian Jews 2.5000101
 42  DRB1*14:01-DQA1*01:01-DQB1*05:03  Equatorial Guinea Bioko Island Bubi 2.5000100
 43  DRB1*14:01-DQA1*01:01-DQB1*05:03  USA San Francisco Caucasian 2.5000220
 44  DRB1*14:01-DQA1*01:04-DQB1*05:03  India Northeast Mech 2.500063
 45  DRB1*14:01-DQA1*01:04-DQB1*05:03  India Northeast Mathur 2.5000155
 46  A*02:01-B*51:01-C*01:02-DRB1*14:01-DQA1*01:01-DQB1*05:03  Kosovo 2.4190124
 47  DRB1*14:01-DQA1*01:04-DQB1*05:03  India Northeast Rajbanshi 2.400098
 48  DRB1*14:08-DQA1*01:01/01:04-DQB1*05:03  Australia New South Wales Aborigine 2.4000177
 49  A*11:01-B*35:01-C*04:01-DRB1*14:01-DQA1*01:01-DQB1*05:03  Brazil Puyanawa 2.3333150
 50  DQA1*01:01-DQB1*05:03  Israel Ashkenazi Jews pop 2 2.3000132
 51  DQA1*01:01-DQB1*05:03:01  Japan Fukuoka 2.300086
 52  DRB1*14:01/14:04-DQA1*01:01-DQB1*05:03  England pop 6 2.3000177
 53  DRB1*14:01-DQA1*01:01/01:04/01:05-DQB1*05:03  Russia Tuva Todja 2.300022
 54  DRB1*14:01-DQA1*01-DQB1*05:03  Italy Sardinia Lanusei 2.300087
 55  DRB1*14:01-DQA1*01:04-DQB1*05:03  India Uttar Pradesh 2.2000202
 56  DRB1*14:01-DQA1*01:04-DQB1*05:03  India Northeast Kayastha 2.2000190
 57  DRB1*14:05-DQA1*01:01-DQB1*05:03  Japan pop 2 2.2000916
 58  DRB1*14:05-DQA1*01:04-DQB1*05:03  South Korea pop 1 2.2000324
 59  DRB1*14-DQA1*01:01-DQB1*05:03  Ukraine Khmelnytskyi 2.2000138
 60  DRB1*14:01-DQA1*01:01/01:04/01:05-DQB1*05:03  Russia Siberia Dudinka Nganasan 2.100024
 61  DRB1*14:01-DQA1*01:01/01:04/01:05-DQB1*05:03  Russia Siberia Khabarovsk Evenki 2.000025
 62  DRB1*14:01-DQA1*01:04-DQB1*05:03  Greece pop3 2.0000246
 63  DRB1*14:01-DQA1*01:04-DQB1*05:03  USA European American 2.00001,899
 64  A*02:01-B*51:01-C*02:02-DRB1*14:54-DQA1*01:04-DQB1*05:03  United Arab Emirates Abu Dhabi 1.920052
 65  DRB1*01-DQA1*01:01-DQB1*05:03  Russia Arkhangelsk 1.900081
 66  DRB1*14:01-DQA1*01-DQB1*05:03  Algeria pop 2 1.9000106
 67  DRB1*14:01-DQA1*01:01-DQB1*05:03  Spain Las Alpujarras 1.760085
 68  DRB1*14:01-DQA1*01:04-DQB1*05:03  India Northeast Vaish 1.7000198
 69  DRB1*14:05-DQA1*01:04-DQB1*05:03-DPB1*05:01  South Korea pop 1 1.7000324
 70  DRB1*14:01-DQA1*01:01-DQB1*05:03  Greece pop3 1.6000246
 71  DRB1*14:01-DQA1*01:04-DQB1*05:03:01  Russia Northwest Slavic 1.5000200
 72  DRB1*15:01-DQA1*01:03-DQB1*05:03  India Northeast Mathur 1.5000155
 73  DRB1*14:01-DQA1*01:01/01:04/01:05-DQB1*05:03  Russia Siberia Negidal 1.400035
 74  DRB1*14:01-DQA1*01:04:01-DQB1*05:03:01  South Korea pop 5 1.4000467
 75  DQA1*01:04-DQB1*05:03-DPA1*02:02-DPB1*05:01  Hong Kong Chinese HKBMDR. DQ and DP 1.34091,064
 76  DRB1*14:01-DQA1*01:01-DQB1*05:03  Mexico Highlands Mestizos 1.3000160
 77  DRB1*14:01-DQA1*01:01-DQB1*05:03  Morocco Souss Region 1.200098
 78  DRB1*14:01-DQA1*01:04-DQB1*05:03:01  Cameroon Yaounde 1.200092
 79  DRB1*14:02-DQA1*01:01-DQB1*05:03:01  Russia Siberia Chukotka Peninsula Eskimo 1.200080
 80  DRB1*14:05-DQA1*01:04-DQB1*05:03-DPB1*05:01  South Korea pop 11 1.2000149
 81  DRB1*14-DQA1*01:01-DQB1*05:03  Russia Vologda 1.2000121
 82  DQA1*01:01-DQB1*05:03:01  Uganda Baganda 1.100047
 83  DRB1*14:01-DRB3*02:02-DQA1*01:01-DQB1*05:03-DPB1*04:01  USA San Francisco Caucasian 1.1000220
 84  DRB1*14:01-DRB3*02:02-DQA1*01:01-DQB1*05:03-DPB1*04:01  USA San Francisco Caucasian 1.1000220
 85  DRB1*14:05-DQA1*01:01/01:04-DQB1*05:03  Australia New South Wales Aborigine 1.1000177
 86  DRB1*14:05-DQA1*01:04-DQB1*05:03-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 1.0952833
 87  DRB1*14:01-DQA1*01:01/01:04-DQB1*05:03  Ethiopia Amhara 1.000098
 88  DRB1*14:01-DQA1*01:04-DQB1*05:03  India Northeast Rastogi 1.0000196
 89  DRB1*14-DQA1*01:01-DQB1*05:03  Belarus Vitebsk Region 1.000070
 90  DRB1*14-DQA1*01:01-DQB1*05:03  Ukraine Lvov 1.0000102
 91  A*68:01-B*35:01-C*16:02-DRB1*14:04-DQA1*01:04-DQB1*05:03  United Arab Emirates Abu Dhabi 0.960052
 92  DQA1*01:01-DQB1*05:03  China, Xinjiang Uyghur Autonomous Region Kazakh 0.960052
 93  DQA1*01:02-DQB1*05:03  China, Xinjiang Uyghur Autonomous Region Kazakh 0.960052
 94  A*01:01-B*35:01-C*12:03-DRB1*14:54-DQA1*01:01-DQB1*05:03  Kosovo 0.8060124
 95  A*02:01-B*51:01-C*01:02-DRB1*14:01-DQA1*01:01-DQB1*05:03  Kosovo 0.8060124
 96  DQA1*01:02-DQB1*05:03  China, Xinjiang Uyghur Autonomous Region Uyghur 0.700071
 97  DRB1*14:04-DQA1*01:01-DQB1*05:03  Spain Las Alpujarras 0.590085
 98  A*74:01-B*41:01-C*17:01-DRB1*14:01-DQA1*01:01-DQB1*05:03-DPB1*19:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 99  DQA1*01:04-DQB1*05:03-DPA1*02:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.46271,064
 100  DQA1*01:04-DQB1*05:03-DPA1*02:02-DPB1*02:02  Hong Kong Chinese HKBMDR. DQ and DP 0.44691,064

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 415) records   Pages: 1 2 3 4 5 of 5  


   

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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