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 93 (from 93) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*07:01-DQA1*02:01-DQB1*02:01/02:02  Russia Siberia Kushun Buryat 22.000025
 2  DRB1*07:01-DQA1*02:01-DQB1*02:01  Morocco Souss Region 20.100098
 3  DQA1*02:01-DQB1*02:01  Israel Moroccan Jews 18.8000113
 4  DQA1*02:01-DQB1*02:01  China, Xinjiang Uyghur Autonomous Region Uyghur 18.310071
 5  DRB1*07:01-DQA1*02:01-DQB1*02:01  Slovenia pop 2 17.9000140
 6  DRB1*07:01-DQA1*02:01-DQB1*02:01/02:02  Russia Siberia Khanty Mansi 16.900068
 7  DRB1*13:03-DQA1*02:01-DQB1*02:01/02:02  Equatorial Guinea Bioko Island Bubi 16.3000100
 8  DRB1*07:01-DQA1*02:01-DQB1*02:01  Iran Yazd Zoroastrian 15.400065
 9  DRB1*07-DQA1*02:01-DQB1*02:01  Iran 14.900058
 10  DRB1*07:01-DQA1*02:01-DQB1*02:01  India Northeast Mathur 14.8000155
 11  DRB1*07-DQA1*02:01-DQB1*02:01  Israel Non Ashkenazi Jews 13.900080
 12  DRB1*07:01-DQA1*02:01-DQB1*02:01  Spain Las Alpujarras 13.520085
 13  DRB1*07-DQA1*02:01-DQB1*02:01  Russia Smolensk 13.5000156
 14  DRB1*07-DQA1*02:01-DQB1*02:01  Italy pop 2 13.200053
 15  DRB1*07:01-DQA1*02:01-DQB1*02:01  India Uttar Pradesh 12.8000202
 16  DRB1*07:01-DQA1*02:01-DQB1*02:01  India Northeast Vaish 12.6000198
 17  DRB1*07:01-DQA1*02:01-DQB1*02:01  India Northeast Kayastha 12.0000190
 18  DRB1*07-DQA1*02:01-DQB1*02:01  Ukraine Khmelnytskyi 12.0000138
 19  DRB1*07:01-DQA1*02:01-DQB1*02:01/02:02  Russia Siberia Lower Yenisey Ket 11.800017
 20  DRB1*07-DQA1*02:01-DQB1*02:01  Ukraine Lvov 11.8000102
 21  DQA1*02:01-DQB1*02:01  Israel Ashkenazi Jews pop 2 11.6000132
 22  DRB1*07-DQA1*02:01-DQB1*02:01  Russia Kostroma Region 11.5000126
 23  DRB1*07:01-DQA1*02:01-DQB1*02:01/02:02  Equatorial Guinea Bioko Island Bubi 11.3000100
 24  DRB1*07-DQA1*02:01-DQB1*02:01  Russia Vologda 10.7000121
 25  DQA1*02:01-DQB1*02:01  China, Xinjiang Uyghur Autonomous Region Kazakh 10.580052
 26  DRB1*07:01-DQA1*02:01-DQB1*02:01  England pop 6 10.5000177
 27  DRB1*07:01-DQA1*02:01-DQB1*02:01/02:02  Russia Siberia Dudinka Nganasan 10.400024
 28  DRB1*07:01-DQA1*02:01-DQB1*02:01  China Urumqi Han 10.200059
 29  DRB1*07-DQA1*02:01-DQB1*02:01  Algeria pop 2 9.9000106
 30  DRB1*07:01-DQA1*02:01-DQB1*02:01  India Northeast Rastogi 9.4000196
 31  DRB1*07-DQA1*02:01-DQB1*02:01  Israel Ashkenazi Jews 9.400080
 32  DQA1*02:01-DQB1*02:01  China, Xinjiang Uyghur Autonomous Region Hui 8.750040
 33  DRB1*07:01-DQA1*02:01-DQB1*02:01  India Northeast Rajbanshi 8.600098
 34  DRB1*07:01-DQA1*02:01-DQB1*02:01  China Urumqi Kazak 8.300042
 35  DRB1*07:01-DQA1*02:01-DQB1*02:01  Russia Northwest Slavic 8.0000200
 36  DRB1*07:01-DQA1*02:01-DQB1*02:01  Iran Kurd 8.0000100
 37  DRB1*07-DQA1*02:01-DQB1*02:01  Belarus Vitebsk Region 8.000070
 38  DRB1*07:01-DQA1*02:01-DQB1*02:01  Australia New South Wales Aborigine 7.7000177
 39  DRB1*07-DQA1*02:01-DQB1*02:01  Belarus Brest Region 7.6000105
 40  DRB1*07-DQA1*02:01-DQB1*02:01  Russia Arkhangelsk 7.400081
 41  DRB1*07-DQA1*02:01-DQB1*02:01  Mexico Guadalajara Mestizo 7.400054
 42  DRB1*07:01-DQA1*02:01-DQB1*02:01  Turkey pop 1 7.2000250
 43  DRB1*07-DQA1*02:01-DQB1*02:01  Russia Mari 7.2000202
 44  DRB1*07:01-DQA1*02:01-DQB1*02:01  India Northeast Lachung 7.000058
 45  DRB1*07:01-DQA1*02:01-DQB1*02:01  Italy Sardinia Cagliari 6.900087
 46  DRB1*07:01-DQA1*02:01-DQB1*02:01  Iran Fars Parsi 6.800073
 47  DRB1*07:01-DQA1*02:01-DQB1*02:01  Italy Sardinia Tempio 6.600091
 48  DRB1*07:01-DQA1*02:01-DQB1*02:01  Italy Sardinia Sorgono 6.500093
 49  DQA1*02:01-DQB1*02:01  China, Xinjiang Uyghur Autonomous Region Han 6.430070
 50  DRB1*07:01-DQA1*02:01-DQB1*02:01  India Northeast Shia 6.2000190
 51  DRB1*07:01-DQA1*02:01-DQB1*02:01  India Northeast Sunni 6.2000188
 52  DRB1*07:01-DQA1*02:01-DQB1*02:01  Mongolia Tarialan Khoton 5.900085
 53  DRB1*07:01-DQA1*02:01-DQB1*02:01  Mexico Highlands Mestizos 5.9000160
 54  DRB1*07-DQA1*02:01-DQB1*02:01  Belarus Gomel Region 5.7000100
 55  DRB1*07:01-DQA1*02:01-DQB1*02:01  Italy Sardinia Sassari 5.500091
 56  DRB1*07:01-DQA1*02:01-DQB1*02:01  Italy Sardinia Oristano 5.500091
 57  DRB1*07:01-DQA1*02:01-DQB1*02:01  Iran Azeri 5.5000100
 58  DRB1*07:01-DQA1*02:01-DQB1*02:01  Gabon Haut-Ogooue Dienga 4.9000167
 59  DRB1*07:01-DQA1*02:01-DQB1*02:01  Greece pop3 4.9000246
 60  DRB1*07:01-DQA1*02:01-DQB1*02:01/02:02  Russia Siberia Irkutsk Tofalar 4.700043
 61  DRB1*07:01-DQA1*02:01-DQB1*02:01  Italy Sardinia Lanusei 4.600087
 62  DRB1*07:01-DQA1*02:01-DQB1*02:01  Mexico Nuevo Leon Mestizo 4.500040
 63  DRB1*07:01-DQA1*02:01-DQB1*02:01  Italy Sardinia Carbonia 4.400091
 64  DRB1*07:01-DQA1*02:01-DQB1*02:01  India Northeast Mech 4.200063
 65  DRB1*07:01-DQA1*02:01-DQB1*02:01/02:02  Russia Siberia Ulchi 4.100073
 66  DRB1*07:01-DQA1*02:01-DQB1*02:01  Mexico Guanajuato and Jalisco Mestizo 4.0000101
 67  DRB1*07:01-DQA1*02:01-DQB1*02:01/02:02  Russia Siberia Khabarovsk Evenki 4.000025
 68  DRB1*07:01-DQA1*02:01-DQB1*02:01/02:02  Russia Tuva pop3 3.400044
 69  DRB1*07:01-DQA1*02:01-DQB1*02:01/02:02  Russia Tuva Todja 2.300022
 70  DRB1*07:01-DQA1*02:01-DQB1*02:01-DPB1*17:01  China Canton Han 1.9000264
 71  DRB1*07-DQA1*02:01-DQB1*02:01  Canada British Columbia Athabaskan 1.600062
 72  DRB1*07:01-DQA1*02:01-DQB1*02:01-DPB1*02:01  China Canton Han 1.4000264
 73  A*02-B*13-DRB1*07-DQA1*02:01-DQB1*02:01  Georgia Svaneti Region Svan 1.300080
 74  A*02-B*44-DRB1*07-DQA1*02:01-DQB1*02:01  Georgia Svaneti Region Svan 1.300080
 75  DRB1*13:02-DQA1*02:01-DQB1*02:01/02:02  Equatorial Guinea Bioko Island Bubi 1.3000100
 76  DRB1*07:01-DQA1*02:01-DQB1*02:01-DPB1*03:01  China Canton Han 1.1000264
 77  A*01:01-B*53:01-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:01  United Arab Emirates Abu Dhabi 0.960052
 78  DRB1*03:01-DQA1*02:01-DQB1*02:01  Spain Las Alpujarras 0.590085
 79  A*68:01-B*07:02-C*07:02-E*01:01:01-F*01:03:01-G*01:01-DRB1*03:04-DQA1*02:01-DQB1*02:01  Portugal Azores Terceira Island 0.4386130
 80  A*01:01:01-B*57:01:01-C*07:01:01-DRB1*03:01:01-DQA1*02:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 81  A*03:01-B*57:03-C*18:01-DRB1*07:01-DQA1*02:01-DQB1*02:01  Brazil Puyanawa 0.3333150
 82  A*24:02:01-B*58:01:01-C*04:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 83  A*25:01:01-B*57:01:01-C*06:02:01-DRB1*03:01:01-DQA1*02:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 0.3268153
 84  A*30:02-B*15:03-C*08:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPB1*17:01  South Africa Worcester 0.3000159
 85  A*02:01-B*14:02-C*02:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPB1*04:01  Nicaragua Managua 0.2165339
 86  A*03-B*35-DRB1*07:11-DQA1*02:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 87  A*26-B*13-DRB1*07:01-DQA1*02:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 88  A*30-B*13-DRB1*07:01-DQA1*02:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 89  A*33-B*15-DRB1*07:01-DQA1*02:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 90  A*01:01-B*51:01-C*16:02-DRB1*03:01-DQA1*02:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 91  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*02:01-DPB1*17:01  Japan pop 17 0.03003,078
 92  A*03:02-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*02:01-DPB1*17:01  Japan pop 17 0.03003,078
 93  A*11:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*02:01-DPB1*17:01  Japan pop 17 0.03003,078

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).




   

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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