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 : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 2,097) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 21  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*15:02-DQB1*06:01  Papua New Guinea Lowland 18.300047
 2  DRB1*15:02-DQB1*06:01  Indonesia Nusa Tenggara Islands 17.100049
 3  DRB1*15:02-DQB1*06:01  Papua New Guinea Lowland Wosera 12.500079
 4  DRB1*15:02-DQB1*06:01  Papua New Guinea East New Britain Tolai 12.000048
 5  DRB1*15:02-DQB1*06:01  Papua New Guinea Highland 11.500094
 6  DRB1*15:02-DQB1*06:01  Japan Central 10.0000371
 7  DRB1*15:02-DQA1*01:03-DQB1*06:01  Japan pop 2 8.2000916
 8  DRB1*15:02-DQA1*01:03-DQB1*06:01  Iran Kurd 8.0000100
 9  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Japanese 7.823424,582
 10  DRB1*15:02-DQB1*06:01  Indonesia Moluccan Islands 7.700024
 11  DRB1*15:02-DQB1*06:01  Israel Iranian Jews 7.7000101
 12  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 7.32003,078
 13  DRB1*15:02-DQA1*01:03-DQB1*06:01  Mongolia Tarialan Khoton 6.500085
 14  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*09:01  Japan Central 6.2000371
 15  DRB1*15:02-DQB1*06:01  Israel Arab 5.7000109
 16  DRB1*15:02-DQB1*06:01  Samoa 5.200029
 17  DRB1*15:02-DQB1*06:01  Spain Malaga Romani 5.200080
 18  DRB1*15:02-DQB1*06:01-DPB1*04:02  Mongolia Tarialan Khoton 5.200085
 19  DRB1*15:02-DQA1*01:03-DQB1*06:01  Iran Azeri 5.0000100
 20  DRB1*15:02-DQA1*01:02-DQB1*06:01  Australia New South Wales Aborigine 4.9000177
 21  DRB1*15:02-DQA1*01:03-DQB1*06:01  Mongolia Ulaanbaatar Khalkha 4.900041
 22  DRB1*15:02:01-DQB1*06:01:01/06:01:03  China Shandong Province Han 4.600098
 23  DRB1*15:02-DQB1*06:01  Malaysia 4.500074
 24  DRB1*15:02-DQA1*01:03-DQB1*06:01  India Uttar Pradesh 3.8000202
 25  DRB1*15:02-DQA1*01:03-DQB1*06:01  Turkey pop 1 3.8000250
 26  DRB1*15:02-DQA1*01:03-DQB1*06:01  Iran Yazd Zoroastrian 3.800065
 27  DRB1*15:02-DQB1*06:01  USA Asian pop 2 3.66001,772
 28  DRB1*15:02-DQA1*01:03-DQB1*06:01  Italy Sardinia Tempio 3.300091
 29  DRB1*15:02-DQA1*01:03-DQB1*06:01  Tunisia 3.0000100
 30  DRB1*15:02-DQB1*06:01  Tunisia 3.0000100
 31  DRB1*15:02-DQA1*01:03-DQB1*06:01  South Korea pop 1 2.9000324
 32  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01  United Arab Emirates Abu Dhabi 2.880052
 33  DRB1*15:02-DQA1*01:03-DQB1*06:01  Algeria pop 2 2.8000106
 34  DRB1*15:02-DQA1*01:03-DQB1*06:01  India Northeast Kayastha 2.8000190
 35  DRB1*15:02-DQA1*01:03-DQB1*06:01  India Northeast Vaish 2.8000198
 36  DRB1*15:02-DQA1*01:03-DQB1*06:01  Iran Fars Parsi 2.700073
 37  A*24:02-B*52:01-DRB1*15:02-DQB1*06:01  Tunisia Gabes 2.630095
 38  DRB1*15:02:01-DQB1*06:01  China Inner Mongolia Autonomous Region Northeast 2.6210496
 39  DRB1*15:02-DQA1*01:03-DQB1*06:01  South Korea pop 5 2.6000467
 40  B*52:01-DRB1*15:02-DQB1*06:01  South Korea pop 3 2.4000485
 41  DRB1*15:02-DQA1*01:03-DQB1*06:01  China Urumqi Kazak 2.400042
 42  DRB1*15:02-DQA1*01:03-DQB1*06:01  Greece pop3 2.2000246
 43  DRB1*15:02-DQB1*06:01  Tunisia Gabes Arab 2.100096
 44  DRB1*15:02-DQB1*06:01  Cretan Islanders 2.0161124
 45  DRB1*15:02-DQA1*01:03-DQB1*06:01  India Northeast Rastogi 2.0000196
 46  DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*09:01  South Korea pop 1 2.0000324
 47  DRB1*15:02-DQB1*06:01  Israel Yemenite Jews 2.000076
 48  DRB1*15:02-DQB1*06:01-DPB1*04:01  Greece pop3 2.0000246
 49  DRB1*15:02-DQB1*06:01-DPB1*09:01  South Korea pop 1 2.0000324
 50  A*03:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01  United Arab Emirates Abu Dhabi 1.920052
 51  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  South Korea pop 3 1.9000485
 52  DRB1*15:02-DQB1*06:01  Philippines 1.900034
 53  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Korean 1.869677,584
 54  DRB1*15:02-DQA1*01:03-DQB1*06:01  USA San Francisco Caucasian 1.8000220
 55  A*02:11:01-B*35:03:01-C*04:01:01-DRB1*15:02:02-DQB1*06:01:01  India Karnataka Kannada Speaking 1.7240174
 56  A*01-B*52-DRB1*15:02-DQB1*06:01  Macedonia pop 3 1.7000172
 57  DRB1*15:02-DQA1*01:02-DQB1*06:01  India Uttar Pradesh 1.7000202
 58  DRB1*15:02-DQA1*01:02-DQB1*06:01  India Northeast Lachung 1.700058
 59  DRB1*15:02-DQA1*01:03-DQB1*06:01  Italy Sardinia Lanusei 1.700087
 60  DRB1*15:02-DQB1*06:01  Israel Libyan Jews 1.7000119
 61  DRB1*15:02:01-DQB1*06:01-DPB1*04:01:01  China Inner Mongolia Autonomous Region Northeast 1.6530496
 62  A*02:11:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 1.6129186
 63  DRB1*15:02-DQA1*01:03-DQB1*06:01  Italy Sardinia Oristano 1.600091
 64  A*11-B*52-DRB1*15:02-DQA1*01:03-DQB1*06:01  Morocco 1.500096
 65  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*05:01  Japan Central 1.5000371
 66  A*34:01-B*15:21-C*04:03-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Malay 1.4418951
 67  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:02:01-DQB1*06:01:01  India Karnataka Kannada Speaking 1.4370174
 68  DRB1*15:02-DQA1*01:02-DQB1*06:01  India Northeast Rastogi 1.4000196
 69  DRB1*15:02-DQA1*01:03-DQB1*06:01  India Northeast Sunni 1.4000188
 70  DRB1*15:02-DQA1*01:03-DQB1*06:01  Russia Siberia Khanty Mansi 1.400068
 71  A*24:02:01-B*08:01:01-C*07:01:01-DRB1*15:02:01-DQB1*06:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 1.388972
 72  DRB1*15:02-DQB1*06:01  USA Hispanic pop 2 1.34501,999
 73  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 1.3250186
 74  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*09:01  USA San Diego 1.3020496
 75  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 1.256511,446
 76  A*01-B*52:01:01-DRB1*15:02-DQB1*06:01  Tunisia Ghannouch 1.200082
 77  DRB1*15:02-DQA1*01:03-DQB1*06:01  Russia Siberia Irkutsk Tofalar 1.200043
 78  DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*09:01  South Korea pop 2 1.2000207
 79  DRB1*15:02-DQA1*01:03-DQB1*06:01  Russia Tuva pop3 1.100044
 80  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 1.09952,403
 81  DRB1*15:02-DQB1*06:01  Mexico Mexico City Mestizo pop 2 1.0700234
 82  A*01:01-B*52:01-C*12:02-DRB1*15:02:01-DQB1*06:01  England North West 1.0000298
 83  DRB1*15:02:01-DQA1*01:03-DQB1*06:01  Russia Northwest Slavic 1.0000200
 84  DRB1*15:02-DQB1*06:01  Japan Hokkaido Ainu 1.000050
 85  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.98925,829
 86  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.97701,772
 87  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.89084,204
 88  A*02:11-B*35:03-C*04:01-DRB1*15:02-DQB1*06:01  India South UCBB 0.881911,446
 89  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.87615,849
 90  DRB1*15:02-DQB1*06:01  Georgia Caucasus Tbilisi 0.8403119
 91  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP South Asian Indian 0.8342185,391
 92  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.81732,403
 93  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.78003,078
 94  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.7380271
 95  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.72554,204
 96  A*01:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.70975,829
 97  A*24:02:01-B*08:12:01-C*07:01:01-DRB1*15:02:01-DQB1*06:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 98  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Northeast UCBB 0.6757296
 99  DRB1*15:02-DQA1*01:03-DQB1*06:01  USA European American 0.66001,899
 100  A*01:01:01-B*52:01:01-C*12:02:02-DRB1*15:02-DQA1*01:03:01-DQB1*06:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.6536153

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 2,097) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 21  


   

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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