Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Displaying 1 to 100 (from 582) records   Pages: 1 2 3 4 5 6 of 6  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DQA1*03-DQB1*04:01  Japan Fukuoka 16.300086
 2  DRB1*04:05-DQA1*03:01-DQB1*04:01  Japan pop 2 14.7000916
 3  DQA1*03-DQB1*04:01  Papua New Guinea Highland pop2 11.500028
 4  DRB1*04:05-DQB1*04:01  Japan Central 11.3000371
 5  DRB1*04:05-DQB1*04:01  Papua New Guinea Highland 10.900094
 6  DRB1*04:05-DQA1*03:03-DQB1*04:01  South Korea pop 5 8.8000467
 7  DRB1*04:05-DQB1*04:01  Japan Hokkaido Ainu 8.000050
 8  DRB1*04:05-DQA1*03:03-DQB1*04:01  South Korea pop 1 7.4000324
 9  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPB1*05:01  South Korea pop 2 6.2000207
 10  DRB1*04:05-DQB1*04:01  Taiwan pop 2 5.7000364
 11  DRB1*04:05-DQB1*04:01-DPB1*05:01  South Korea pop 1 5.6000324
 12  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPB1*05:01  South Korea pop 1 5.4000324
 13  DRB1*04:05-DQA1*03:01-DQB1*04:01  China Urumqi Han 5.100059
 14  DRB1*08-DQA1*04:01-DQB1*04:01/04:02  Russia Vologda 5.0000121
 15  DRB1*04:05-DQA1*03:01-DQB1*04:01  Mongolia Tarialan Khoton 4.700085
 16  DRB1*04:05-DQB1*04:01  USA Asian pop 2 4.54501,772
 17  DRB1*04:05-DQB1*04:01  Vietnam Hanoi Kinh 4.5000103
 18  DRB1*04:05:01-DQB1*04:01  China Shandong Province Han 4.100098
 19  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPB1*05:01  South Korea pop 11 4.0000149
 20  DRB1*08-DQA1*04:01-DQB1*04:01/04:02  Russia Kostroma Region 4.0000126
 21  DRB1*04:05-DQB1*04:01  Philippines 3.800034
 22  DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Hong Kong Chinese HKBMDR. DQ and DP 3.68091,064
 23  DRB1*04:05:01-DQB1*04:01  China Inner Mongolia Autonomous Region Northeast 3.6280496
 24  DRB1*04:05-DQA1*03-DQB1*04:01  China Urumqi Uyghur 3.400057
 25  DRB1*04:05-DQA1*03-DQB1*04:01  Russia Tuva pop3 3.400044
 26  DQA1*03-DQB1*04:01  Russia Tuva pop 2 3.2000169
 27  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 3.1507833
 28  DRB1*08-DQA1*04:01-DQB1*04:01/04:02  Russia Arkhangelsk 3.000081
 29  DRB1*08-DQA1*04:01-DQB1*04:01/04:02  Belarus Brest Region 2.9000105
 30  DRB1*08-DQA1*04:01-DQB1*04:01/04:02  Belarus Gomel Region 2.9000100
 31  DRB1*08-DQA1*04:01-DQB1*04:01/04:02  Ukraine Khmelnytskyi 2.9000138
 32  DRB1*04:05:01-DQB1*04:01-DPB1*21:01  China Lijiang Naxi 2.7000100
 33  DQB1*04:01-DPB1*05:01:01  China Inner Mongolia Autonomous Region Northeast 2.6100496
 34  DRB1*04:05-DQB1*04:01  Indonesia Moluccan Islands 2.600024
 35  DRB1*08-DQA1*04:01-DQB1*04:01/04:02  Russia Smolensk 2.6000156
 36  A*24:02-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Japanese 2.592824,582
 37  B*54:01-DRB1*04:05-DQB1*04:01  South Korea pop 3 2.5000485
 38  DRB1*04:05:01-DQB1*04:01-DPB1*05:01:01  China Inner Mongolia Autonomous Region Northeast 2.4430496
 39  DRB1*04:05-DQA1*03:01-DQB1*04:01  Mongolia Ulaanbaatar Khalkha 2.400041
 40  DRB1*04:05-DQB1*04:01-DPB1*02:01  Mongolia Tarialan Khoton 2.400085
 41  DRB1*04:05-DQB1*04:01-DPB1*05:01  Mongolia Tarialan Khoton 2.400085
 42  DRB1*04:05-DQA1*03:01-DQB1*04:01-DPB1*05:01  China Canton Han 2.2000264
 43  DRB1*04:05:01-DQB1*04:01-DPB1*05:01  China Yunnan Province Bai 2.0000128
 44  DRB1*08-DQA1*04:01-DQB1*04:01/04:02  Ukraine Lvov 2.0000102
 45  A*24:02-B*54:01-C*01:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 1.99003,078
 46  DRB1*04:05-DQB1*04:01  Vietnam HoaBinh Muong 1.800083
 47  DRB1*09:01:02-DQB1*04:01  China Yunnan Province Lahu 1.800070
 48  A*11:01:01-B*40-C*12:03:01-DRB1*04:05:01-DQB1*04:01-DPB1*05:01  China Yunnan Province Nu 1.7000107
 49  A*24:02-B*51:01-DRB1*08:01-DQB1*04:01  Iran Kurd pop 2 1.700060
 50  DRB1*08:02-DQB1*04:01  Samoa 1.700029
 51  A*24:02-B*51:01-DRB1*04:01-DQB1*04:01  Iran Saqqez-Baneh Kurds 1.666760
 52  B*59:01-DRB1*04:05-DQB1*04:01  South Korea pop 3 1.5000485
 53  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPB1*04:02  South Korea pop 2 1.5000207
 54  DRB1*04:05-DQB1*04:01  Papua New Guinea Lowland 1.400047
 55  DRB1*14:01:01-DQB1*04:01  China Yunnan Province Drung 1.400070
 56  A*24:02-B*59:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Japanese 1.363924,582
 57  A*24:02-B*54:01-C*01:02-DRB1*04:05-DQB1*04:01-DPB1*05:01  Japan Central 1.3000371
 58  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPB1*02:01  South Korea pop 1 1.3000324
 59  DRB1*04:05-DQB1*04:01  Indonesia Nusa Tenggara Islands 1.300049
 60  B*51:01-DRB1*04:05-DQB1*04:01  South Korea pop 3 1.2000485
 61  DRB1*04:05-DQB1*04:01-DPB1*02:01  South Korea pop 1 1.2000324
 62  A*24:02-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Korean 1.191177,584
 63  A*24:02-B*59:01-C*01:02-DRB1*04:05-DQB1*04:01  South Korea pop 3 1.1000485
 64  A*24:02-B*59:01-C*01:02-DRB1*04:05-DQB1*04:01-DPB1*04:02  Japan Central 1.1000371
 65  DRB1*04:05:01-DQB1*04:01  China Inner Mongolia Region Ewenki 1.100094
 66  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPB1*04:02  South Korea pop 11 1.1000149
 67  DRB1*04:08-DQA1*03:01-DQB1*04:01  Australia New South Wales Aborigine 1.1000177
 68  DRB1*08:03-DQA1*04:01-DQB1*04:01  Russia Tuva pop3 1.100044
 69  A*11:01-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Japanese 1.032524,582
 70  A*29:01-B*58:01-DRB1*08:01-DQB1*04:01  Iran Tabriz Azeris 1.030997
 71  DRB1*04:01-DQB1*04:01  Tunisia pop 2 1.0000111
 72  DRB1*08-DQA1*04:01-DQB1*04:01/04:02  Russia Mari 1.0000202
 73  A*03:01-B*41:01-DRB1*11:01-DQB1*04:01  Iran Yazd 0.892956
 74  A*03:01-B*51:01-DRB1*08:01-DQB1*04:01  Iran Yazd 0.892956
 75  A*24:02-B*51:01-DRB1*08:01-DQB1*04:01  Iran Yazd 0.892956
 76  A*03:01-B*50:01-DRB1*08:01-DQB1*04:01  Iran Saqqez-Baneh Kurds 0.833360
 77  A*31:01-B*54:01-DRB1*04:01-DQB1*04:01  Iran Saqqez-Baneh Kurds 0.833360
 78  A*24:02:01-B*54:01:01-C*01:02:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.79201,734
 79  A*01:02-B*07:02-C*07:03-DRB1*15:01-DQB1*04:01  Iran Gorgan 0.780064
 80  A*02:01-B*35:01-C*04:01-DRB1*04:01-DQB1*04:01  Iran Gorgan 0.780064
 81  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQB1*04:01  Iran Gorgan 0.780064
 82  A*02:34-B*40:39-C*06:02-DRB1*08:20-DQB1*04:01  Iran Gorgan 0.780064
 83  A*03:01-B*39:01-C*12:03-DRB1*12:09-DQB1*04:01  Iran Gorgan 0.780064
 84  A*30:01-B*07:03-C*03:02-DRB1*08:20-DQB1*04:01  Iran Gorgan 0.780064
 85  A*24:02-B*59:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Korean 0.751177,584
 86  DQA1*02:01-DQB1*04:01  China, Xinjiang Uyghur Autonomous Region Han 0.710070
 87  DQA1*03-DQB1*04:01  China, Xinjiang Uyghur Autonomous Region Uyghur 0.700071
 88  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.6986833
 89  A*11:01-B*54:01-C*01:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.65003,078
 90  A*11:01-B*54:01-C*01:02-DRB1*04:05-DQB1*04:01  USA Asian pop 2 0.63301,772
 91  A*34:01-B*51:01-C*04:01-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Filipino 0.629050,614
 92  DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*03:01  Hong Kong Chinese HKBMDR. DQ and DP 0.61291,064
 93  DQB1*04:01-DPB1*03:01:01  China Inner Mongolia Autonomous Region Northeast 0.6030496
 94  A*02:03:01-B*39:01:01-C*07:02:01-DRB1*04:05:01-DQB1*04:01:01  India Karnataka Kannada Speaking 0.5750174
 95  A*11-B*51-DRB1*04:05-DQB1*04:01  Bolivia La Paz Aymaras 0.575087
 96  A*11:01-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Vietnamese 0.546343,540
 97  DRB1*04:05:01-DQB1*04:01-DPB1*03:01:01  China Inner Mongolia Autonomous Region Northeast 0.5450496
 98  A*02:03:01-B*39:01:01-C*03:03:01-DRB1*04:05:01-DQB1*04:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 99  A*24:02-B*59:01-C*01:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.52003,078
 100  A*01:02-B*14:01-DRB1*13:01-DQB1*04:01  Iran Tabriz Azeris 0.515597

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 582) records   Pages: 1 2 3 4 5 6 of 6  


   

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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