Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 313) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DQA1*01:03-DQB1*06:03  Ecuador African 10.300058
 2  DRB1*13:01-DQA1*01:02-DQB1*06:03  Slovenia pop 2 10.0000140
 3  DQA1*01:03-DQB1*06:03  Israel Moroccan Jews 8.7000113
 4  DRB1*13:01-DQA1*01:03-DQB1*06:03/06:14  Russia Siberia Khanty Mansi 8.100068
 5  DRB1*13:01-DQA1*01:03-DQB1*06:03  Italy pop 2 7.600053
 6  DQA1*01:03-DQB1*06:03  Israel Libyan Jews 7.4000119
 7  DRB1*15:01-DQA1*01:02-DQB1*06:03  Australia New South Wales Aborigine 7.0000177
 8  DRB1*13-DQA1*01:03-DQB1*06:03  Czech Republic pop 3 6.9000180
 9  DRB1*13:01-DQA1*01:03-DQB1*06:03/06:14  Russia Tuva Todja 6.800022
 10  DRB1*13-DQA1*01:03-DQB1*06:03  Croatia Gorski Kotar Region 6.800063
 11  DRB1*13:01-DQA1*01:03-DQB1*06:03  Spain Las Alpujarras 6.470085
 12  DQA1*01:02-DQB1*06:03  Israel Ethiopian Jews 6.1000122
 13  DQA1*01:03-DQB1*06:03  Israel Yemenite Jews 6.100076
 14  DQA1*01:03-DQB1*06:03  Israel Ashkenazi Jews pop 2 5.8000132
 15  DRB1*13:01-DQA1*01:03-DQB1*06:03  USA European American 5.56001,899
 16  DRB1*13:01-DQA1*01:03-DQB1*06:03  Russia Northwest Slavic 5.5000200
 17  DQA1*01:03-DQB1*06:03  Russia Tuva pop 2 5.3000169
 18  DQA1*01:03-DQB1*06:03  China, Xinjiang Uyghur Autonomous Region Hui 5.000040
 19  DRB1*13:01-DQA1*01:03-DQB1*06:03  Equatorial Guinea Bioko Island Bubi 5.0000100
 20  DQA1*01:03-DQB1*06:03  China, Xinjiang Uyghur Autonomous Region Uyghur 4.930071
 21  DRB1*13:01-DQA1*01:03-DQB1*06:03  China Urumqi Kazak 4.800042
 22  DRB1*13:01-DQA1*01:03-DQB1*06:03/06:14  Russia Tuva pop3 4.500044
 23  DRB1*13:01-DQA1*01:03-DQB1*06:03  USA San Francisco Caucasian 4.3000220
 24  DRB1*13:01-DQA1*01:03-DQB1*06:03/06:14  Russia Siberia Negidal 4.300035
 25  DQA1*01:03-DQB1*06:03  Tunisia 4.1000100
 26  DQA1*01:03-DQB1*06:03  France Ceph 4.0000124
 27  DQA1*01:02-DQB1*06:03  Uganda Baganda 3.800047
 28  DRB1*13:01-DQA1*01:03-DQB1*06:03  Turkey pop 1 3.8000250
 29  DRB1*13:01-DQA1*01:03-DQB1*06:03  Greece pop3 3.7000246
 30  DRB1*15:03-DQA1*01:02-DQB1*06:03  Ethiopia Amhara 3.600098
 31  DRB1*15:03-DQA1*01:02-DQB1*06:03  Ethiopia Oromo 3.600083
 32  DRB1*13:01-DQA1*01:03-DQB1*06:03  India Uttar Pradesh 3.5000202
 33  DQA1*01:03-DQB1*06:03  India Bombay 3.400059
 34  DRB1*13:01-DQA1*01:03-DQB1*06:03  China Urumqi Uyghur 3.400057
 35  DQA1*01:03-DQB1*06:03  Israel Arab 3.3000109
 36  DRB1*13:01-DQA1*01:03-DQB1*06:03  Algeria pop 2 3.3000106
 37  DQA1*01:03-DQB1*06:03  Uganda Baganda 3.200047
 38  DQA1*01:03-DQB1*06:03  China, Xinjiang Uyghur Autonomous Region Kazakh 2.880052
 39  DQA1*01:03-DQB1*06:03  China, Xinjiang Uyghur Autonomous Region Han 2.860070
 40  DQA1*01:03-DQB1*06:03  Gambia 2.7000146
 41  DRB1*13:01-DQA1*01:03-DQB1*06:03  India Northeast Kayastha 2.6000190
 42  DRB1*13:01-DQA1*01:03-DQB1*06:03  China Urumqi Han 2.500059
 43  DQA1*01:03-DQB1*06:03  Israel Iranian Jews 2.4000101
 44  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Puyanawa 2.3333150
 45  DRB1*12:01-DQA1*01:01-DQB1*06:03  Russia Siberia Sulamai Ket 2.300022
 46  DRB1*13:01-DQA1*01:03-DQB1*06:03  Italy Sardinia Tempio 2.200091
 47  DRB1*13:01-DQA1*01:03-DQB1*06:03  India Northeast Rastogi 2.1000196
 48  DRB1*13:01-DQA1*01:03-DQB1*06:03/06:14  Russia Siberia Dudinka Nganasan 2.100024
 49  DRB1*13-DQA1*01:02-DQB1*06:03  Gabon Haut-Ogooue Dienga 2.1000167
 50  A*02:01-B*40:02-C*02:02-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Puyanawa 2.0000150
 51  DRB1*13:01-DQA1*01:03-DQB1*06:03  Cameroon Yaounde 2.000092
 52  DRB1*13:01-DQA1*01:03-DQB1*06:03  England pop 6 2.0000177
 53  DRB1*13:01-DQA1*01:03-DQB1*06:03  Tunisia 2.0000100
 54  DRB1*13:01-DQA1*01:03-DQB1*06:03/06:14  Russia Siberia Khabarovsk Evenki 2.000025
 55  DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  South Korea pop 11 2.0000149
 56  A*02-B*44-DRB1*13-DQA1*01:03-DQB1*06:03  Georgia Svaneti Region Svan 1.900080
 57  A*26-B*38-DRB1*13:01-DRB3*02:02-DQA1*01:03-DQB1*06:03  Spain Murcia 1.9000173
 58  A*26-B*38-DRB1*13-DQA1*01:03-DQB1*06:03  Georgia Svaneti Region Svan 1.900080
 59  DRB1*13:01-DQA1*01:03-DQB1*06:03  India Northeast Shia 1.8000190
 60  A*26:01-B*38:01-C*12:03-E*01:03:01-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 1.7544130
 61  DQA1*01:02-DQB1*06:03  Israel Iranian Jews 1.6000101
 62  DRB1*13:01-DQA1*01:02-DQB1*06:03  India Uttar Pradesh 1.6000202
 63  DRB1*13:01-DQA1*01:03-DQB1*06:03  Mexico Highlands Mestizos 1.6000160
 64  A*02:01-B*45:01-C*16:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 1.5000100
 65  DRB1*13:01-DQA1*01:03-DQB1*06:03  Ethiopia Amhara 1.500098
 66  DRB1*11:01:01-DQA1*01:01-DQB1*06:03  Russia Siberia Polygus Evenk 1.400035
 67  DRB1*13:01-DQA1*01:03-DQB1*06:03  Australia New South Wales Aborigine 1.4000177
 68  DRB1*14:03-DQA1*01:03-DQB1*06:03  Russia Siberia Polygus Evenk 1.400035
 69  A*25-B*18-DRB1*13-DQA1*01:03-DQB1*06:03  Russia, South Ural, Chelyabinsk region, Nagaybaks 1.3400112
 70  A*02-B*08-DRB1*13-DQA1*01:03-DQB1*06:03  Georgia Svaneti Region Svan 1.300080
 71  DRB1*13:01-DQA1*01:03-DQB1*06:03  India Northeast Mathur 1.3000155
 72  DRB1*13:01-DRB3*02:02-DQA1*01:03-DQB1*06:03-DPB1*04:01  USA San Francisco Caucasian 1.3000220
 73  DRB1*13:01-DRB3*02:02-DQA1*01:03-DQB1*06:03-DPB1*04:01  USA San Francisco Caucasian 1.3000220
 74  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03  Kosovo 1.2100124
 75  DQA1*01:03-DQB1*06:03  Japan Fukuoka 1.200086
 76  DRB1*13:01-DQA1*01:03-DQB1*06:03  India Northeast Sunni 1.2000188
 77  DRB1*13:01-DQA1*01:03-DQB1*06:03  Ethiopia Oromo 1.200083
 78  DRB1*13:01-DQA1*01:03-DQB1*06:03/06:14  Russia Siberia Irkutsk Tofalar 1.200043
 79  DRB1*13:01-DQA1*01:03-DQB1*06:03  Italy Sardinia Oristano 1.100091
 80  DRB1*13:01-DQA1*01:03-DQB1*06:03  Italy Sardinia Sorgono 1.100093
 81  DRB1*13:01-DQA1*01:03-DQB1*06:03  Italy Sardinia Sassari 1.100091
 82  DRB1*13:01-DQA1*01:03-DQB1*06:03  South Korea pop 1 1.1000324
 83  A*02:01-B*45:01-C*16:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*01:01  South Africa Worcester 1.0000159
 84  DRB1*13:01-DQA1*01:03-DQB1*06:03  Morocco Souss Region 1.000098
 85  A*24:02-B*44:03-C*07:06-DRB1*13:01-DQA1*01:03-DQB1*06:03  United Arab Emirates Abu Dhabi 0.960052
 86  DQA1*01:02-DQB1*06:03  China, Xinjiang Uyghur Autonomous Region Kazakh 0.960052
 87  A*03-B*07-DRB1*13-DQA1*01:03-DQB1*06:03  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.8900112
 88  A*02:01-B*44:02-C*05:01-E*01:03:01-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.8772130
 89  A*24:02-B*39:01-C*12:03-E*01:01:01-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.8772130
 90  A*02-B*51-DRB1*13-DQA1*01:03-DQB1*06:03  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.8600112
 91  A*01:01-B*08:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03  Kosovo 0.8060124
 92  A*02:01-B*15:01-C*03:03-DRB1*13:01-DQA1*01:03-DQB1*06:03  Kosovo 0.8060124
 93  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.6536153
 94  A*25:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.6536153
 95  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*02:01:01-DPB1*02:01  Russia Belgorod region 0.6536153
 96  A*32:01-B*58:02-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:02  South Africa Worcester 0.6000159
 97  A*34:02-B*44:03-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:02  South Africa Worcester 0.6000159
 98  DRB1*13:01-DQA1*01:02-DQB1*06:03  Spain Las Alpujarras 0.590085
 99  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  USA San Diego 0.5210496
 100  A*30:02-B*81:01-C*16:01-DRB1*13:01-DQA1*01:01-DQB1*06:03-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100

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 313) records   Pages: 1 2 3 4 of 4  


   

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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