Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 1 to 100 (from 492) records   Pages: 1 2 3 4 5 of 5  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*04:05-DQA1*03:01-DQB1*04:01  Japan pop 2 14.7000916
 2  DRB1*04:05-DQB1*04:01  Japan Central 11.3000371
 3  DRB1*04:05-DQB1*04:01  Papua New Guinea Highland 10.900094
 4  DRB1*04:05-DQA1*03:03-DQB1*04:01  South Korea pop 5 8.8000467
 5  DRB1*04:05-DQB1*04:01  Japan Hokkaido Ainu 8.000050
 6  DRB1*04:05-DQA1*03:03-DQB1*04:01  South Korea pop 1 7.4000324
 7  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPB1*05:01  South Korea pop 2 6.2000207
 8  DRB1*04:05-DQB1*04:01  Taiwan pop 2 5.7000364
 9  DRB1*04:05-DQB1*04:01-DPB1*05:01  South Korea pop 1 5.6000324
 10  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPB1*05:01  South Korea pop 1 5.4000324
 11  DRB1*04:05-DQA1*03:01-DQB1*04:01  China Urumqi Han 5.100059
 12  DRB1*04:05-DQA1*03:01-DQB1*04:01  Mongolia Tarialan Khoton 4.700085
 13  DRB1*04:05-DQB1*04:01  USA Asian pop 2 4.54501,772
 14  DRB1*04:05-DQB1*04:01  Vietnam Hanoi Kinh 4.5000103
 15  DRB1*04:05:01-DQB1*04:01  China Shandong Province Han 4.100098
 16  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPB1*05:01  South Korea pop 11 4.0000149
 17  DRB1*04:05-DQB1*04:01  Philippines 3.800034
 18  DRB1*04:05:01-DQB1*04:01  China Inner Mongolia Autonomous Region Northeast 3.6280496
 19  DRB1*04:05-DQA1*03-DQB1*04:01  China Urumqi Uyghur 3.400057
 20  DRB1*04:05-DQA1*03-DQB1*04:01  Russia Tuva pop3 3.400044
 21  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 3.1507833
 22  DRB1*04:05:01-DQB1*04:01-DPB1*21:01  China Lijiang Naxi 2.7000100
 23  DRB1*04:05-DQB1*04:01  Indonesia Moluccan Islands 2.600024
 24  A*24:02-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Japanese 2.592824,582
 25  B*54:01-DRB1*04:05-DQB1*04:01  South Korea pop 3 2.5000485
 26  DRB1*04:05:01-DQB1*04:01-DPB1*05:01:01  China Inner Mongolia Autonomous Region Northeast 2.4430496
 27  DRB1*04:05-DQA1*03:01-DQB1*04:01  Mongolia Ulaanbaatar Khalkha 2.400041
 28  DRB1*04:05-DQB1*04:01-DPB1*02:01  Mongolia Tarialan Khoton 2.400085
 29  DRB1*04:05-DQB1*04:01-DPB1*05:01  Mongolia Tarialan Khoton 2.400085
 30  DRB1*04:05-DQA1*03:01-DQB1*04:01-DPB1*05:01  China Canton Han 2.2000264
 31  DRB1*04:05:01-DQB1*04:01-DPB1*05:01  China Yunnan Province Bai 2.0000128
 32  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
 33  DRB1*04:05-DQB1*04:01  Vietnam HoaBinh Muong 1.800083
 34  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
 35  B*59:01-DRB1*04:05-DQB1*04:01  South Korea pop 3 1.5000485
 36  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPB1*04:02  South Korea pop 2 1.5000207
 37  DRB1*04:05-DQB1*04:01  Papua New Guinea Lowland 1.400047
 38  A*24:02-B*59:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Japanese 1.363924,582
 39  A*24:02-B*54:01-C*01:02-DRB1*04:05-DQB1*04:01-DPB1*05:01  Japan Central 1.3000371
 40  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPB1*02:01  South Korea pop 1 1.3000324
 41  DRB1*04:05-DQB1*04:01  Indonesia Nusa Tenggara Islands 1.300049
 42  B*51:01-DRB1*04:05-DQB1*04:01  South Korea pop 3 1.2000485
 43  DRB1*04:05-DQB1*04:01-DPB1*02:01  South Korea pop 1 1.2000324
 44  A*24:02-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Korean 1.191177,584
 45  A*24:02-B*59:01-C*01:02-DRB1*04:05-DQB1*04:01  South Korea pop 3 1.1000485
 46  A*24:02-B*59:01-C*01:02-DRB1*04:05-DQB1*04:01-DPB1*04:02  Japan Central 1.1000371
 47  DRB1*04:05:01-DQB1*04:01  China Inner Mongolia Region Ewenki 1.100094
 48  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPB1*04:02  South Korea pop 11 1.1000149
 49  A*11:01-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Japanese 1.032524,582
 50  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
 51  A*24:02-B*59:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Korean 0.751177,584
 52  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.6986833
 53  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
 54  A*11:01-B*54:01-C*01:02-DRB1*04:05-DQB1*04:01  USA Asian pop 2 0.63301,772
 55  A*34:01-B*51:01-C*04:01-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Filipino 0.629050,614
 56  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
 57  A*11-B*51-DRB1*04:05-DQB1*04:01  Bolivia La Paz Aymaras 0.575087
 58  A*11:01-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Vietnamese 0.546343,540
 59  DRB1*04:05:01-DQB1*04:01-DPB1*03:01:01  China Inner Mongolia Autonomous Region Northeast 0.5450496
 60  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
 61  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
 62  A*26:01-B*55:02-C*01:02-DRB1*04:05-DQB1*04:01  Malaysia Peninsular Chinese 0.5155194
 63  A*02:03:01-B*46:01:01-C*04:03:01-DRB1*04:05:01-DQB1*04:01:01  Vietnam Kinh 0.4950101
 64  A*02:03:01-B*54:01:01-C*04:03:01-DRB1*04:05:01-DQB1*04:01:01  Vietnam Kinh 0.4950101
 65  A*03:02:01-B*13:02:01-C*06:02:01-DRB1*04:05:01-DQB1*04:01:01  Vietnam Kinh 0.4950101
 66  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*04:05:01-DQB1*04:01:01  Vietnam Kinh 0.4950101
 67  A*11:01:01-B*40:02:01-C*07:02:01-DRB1*04:05:01-DQB1*04:01:01  Vietnam Kinh 0.4950101
 68  A*11:01:01-B*55:18-C*07:02:01-DRB1*04:05:01-DQB1*04:01:01  Vietnam Kinh 0.4950101
 69  A*11:01:01-B*56:01:01-C*01:02:01-DRB1*04:05:01-DQB1*04:01:01  Vietnam Kinh 0.4950101
 70  A*24:02:01-B*15:02:01-C*03:04:01-DRB1*04:05:01-DQB1*04:01:01  Vietnam Kinh 0.4950101
 71  A*33:01:01-B*13:01:01-C*03:04:01-DRB1*04:05:01-DQB1*04:01:01  Vietnam Kinh 0.4950101
 72  A*33:03:01-B*39:01:01-C*07:02:01-DRB1*04:05:01-DQB1*04:01:01  Vietnam Kinh 0.4950101
 73  A*24:02-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Chinese 0.475199,672
 74  A*24:02-B*59:01-C*01:02-DRB1*04:05-DQB1*04:01  USA Asian pop 2 0.44401,772
 75  A*11:01-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Korean 0.438577,584
 76  DRB1*04:05-DQB1*04:01  Georgia Caucasus Tbilisi 0.4202119
 77  A*24:02:01-B*15:07:01-C*16:02:01-DRB1*04:05:01-DQB1*04:01:01  Russia Bashkortostan, Bashkirs 0.4167120
 78  A*11:01:01-B*54:01:01-C*01:02:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.40431,734
 79  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.38661,734
 80  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*02:02  China Zhejiang Han pop 2 0.3818833
 81  A*11:01-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Chinese 0.369099,672
 82  A*24:02-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Vietnamese 0.365143,540
 83  A*24:02-B*54:01-C*01:02-DRB1*04:05-DQB1*04:01  USA Asian pop 2 0.36301,772
 84  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.31411,734
 85  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*02:01  China Zhejiang Han pop 2 0.3098833
 86  A*24:02-B*54:01-C*01:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.29003,078
 87  A*11:01:01-B*40:06:01-C*08:01:01-DRB1*04:05:01-DQB1*04:01:01  India Karnataka Kannada Speaking 0.2870174
 88  A*02:11:01-B*40:06:01-C*06:02:01-DRB1*04:05:01-DQB1*04:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 89  A*68:01:02-B*39:01:01-C*03:03:01-DRB1*04:05:01-DQB1*04:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 90  A*24:02:01:01-B*52:01:01:02-C*12:02:02-DRB1*04:05:01-DQB1*04:01:01  Russia Bashkortostan, Tatars 0.2604192
 91  A*02:01-B*40:01-C*01:02-DRB1*04:05-DQA1*03:01-DQB1*04:01-DPB1*05:01  USA San Diego 0.2600496
 92  A*02:06-B*54:01-C*01:02-DRB1*04:05-DQA1*03:01-DQB1*04:01-DPB1*05:01  USA San Diego 0.2600496
 93  A*24:02-B*54:01-C*01:02-DRB1*04:05-DQA1*01:03-DQB1*04:01-DPB1*05:01  USA San Diego 0.2600496
 94  A*24:02-B*59:01-C*01:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.26003,078
 95  A*31:01-B*54:01-C*14:02-DRB1*04:05-DQA1*03:01-DQB1*04:01-DPB1*02:01  USA San Diego 0.2600496
 96  A*02:01-B*13:01-C*03:04-DRB1*04:05-DQB1*04:01  Malaysia Peninsular Chinese 0.2577194
 97  A*02:01-B*46:01-C*01:02-DRB1*04:05-DQB1*04:01  Malaysia Peninsular Chinese 0.2577194
 98  A*02:07-B*40:01-C*03:04-DRB1*04:05-DQB1*04:01  Malaysia Peninsular Chinese 0.2577194
 99  A*02:07-B*46:01-C*01:02-DRB1*04:05-DQB1*04:01  Malaysia Peninsular Chinese 0.2577194
 100  A*11:01-B*15:01-C*04:03-DRB1*04:05-DQB1*04:01  Malaysia Peninsular Chinese 0.2577194

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 492) 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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