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 : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 4,570) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 46  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*13:01-C*03:04:01  Taiwan Rukai 28.000050
 2  B*13:01-C*03:04:01  Taiwan Bunun 26.7000101
 3  A*24:02-B*13:01  Taiwan Rukai 25.500050
 4  A*24:02-B*13:01  Taiwan Paiwan 25.500051
 5  B*13:01-C*03:04:01  Taiwan Paiwan 25.500051
 6  B*13:01-DRB1*12:02:01  Taiwan Paiwan 24.500051
 7  A*24:02-B*13:01  Taiwan Bunun 24.3000101
 8  B*13:01-DRB1*12:02:01  Taiwan Rukai 22.000050
 9  A*24:02-B*13:01  Taiwan Thao 21.700030
 10  B*13:01-C*03:04:01  Taiwan Thao 20.000030
 11  B*13:01-DRB1*12:02:01  Taiwan Thao 20.000030
 12  B*13:01-DRB1*12:02:01  Taiwan Bunun 19.6000101
 13  A*24:02-B*13:01  Taiwan Tsou 17.600051
 14  B*13:01-C*03:04:01  Taiwan Tsou 17.600051
 15  A*24:02-B*13:01  Taiwan Puyuma 17.000050
 16  B*13:01-C*03:04:01  Taiwan Puyuma 17.000050
 17  B*13:01-DRB1*12:02:01  Taiwan Tsou 16.700051
 18  B*13:01-C*03:04:01  Taiwan Siraya 12.700051
 19  B*13-DRB1*07  Russia South Ural Bashkir 12.2000146
 20  B*13:01-C*03:04:01  Taiwan Pazeh 11.800055
 21  A*30-B*13-C*06:02  Pakistan Karachi Parsi 11.000091
 22  A*02-B*13-C*04-DRB1*12  Myanmar Kayin 9.091044
 23  A*30:01-B*13:02-DRB1*07:01  China Jiangsu Han 8.87003,238
 24  B*13-DRB1*07  Russia South Ural Tatar 8.8000135
 25  A*30:01-B*13:02-DRB1*07:01  China Jiangsu Province Han 8.5400334
 26  A*11:01-B*13:01-C*03:04  China Guizhou Province Miao pop 2 8.400085
 27  A*30-B*13-DRB1*07  Pakistan Karachi Parsi 8.300091
 28  A*30:01-B*13:02-DRB1*10:01  Malaysia Patani 8.000025
 29  A*11:01-B*13:01-C*03:04  China Southwest Dai 7.8000124
 30  A*24:02-B*13:01  Taiwan Pazeh 7.800055
 31  A*24:02-B*13:01  Taiwan Siraya 7.800051
 32  A*11:01-B*13:01-DRB1*12:02  China Yunnan Province Jinuo 7.3000109
 33  B*13:01-DRB1*11:01:01  Taiwan Pazeh 7.300055
 34  B*13-C*06:02  Pakistan Kalash 7.200069
 35  A*24:07-B*13:01-DRB1*15:02  Malaysia Kedah Kensiu 7.140021
 36  B*13:01-DRB1*14:01  Taiwan Puyuma 7.000050
 37  A*30-B*13-DRB1*07  China Jiangsu Province 6.900020,248
 38  B*13:01-DRB1*12:02:01  Taiwan Siraya 6.900051
 39  A*02-B*13-DRB1*07  Russia South Ural Bashkir 6.7000146
 40  A*30-B*13  Pakistan Kalash 6.500069
 41  A*30-B*13-C*06:02  Pakistan Kalash 6.500069
 42  B*13:01-C*03:04:01  Taiwan Minnan pop 1 6.4000102
 43  B*13:01-DRB1*15:02:01  Philippines Ivatan 6.000050
 44  A*26:01-B*13:01-DRB1*15:02  China Yunnan Province Jinuo 5.5000109
 45  B*13:01-C*03:04:01  Taiwan Hakka 5.500055
 46  A*30:01-B*13:02-DRB1*07:01  Israel Bukhara Jews 5.38002,317
 47  A*02:03-B*13:01-DRB1*15:02  Malaysia Champa 5.172429
 48  A*11:01-B*13:01  Taiwan Siraya 4.900051
 49  B*13:01-DRB1*11:01:01  Taiwan Puyuma 4.900050
 50  B*13:01-DRB1*08:03:02  Taiwan Bunun 4.8000101
 51  A*34:01-B*13:01-DRB1*04:05  New Zealand Polynesians with Full Ancestry 4.762021
 52  A*11:01-B*13:01-C*03:04-DRB1*16:02  China Southwest Dai 4.7000124
 53  A*31:08-B*13:02-C*06:02  India West Coast Parsi 4.700050
 54  A*11:01-B*13:01  Taiwan Minnan pop 1 4.6000102
 55  A*30:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - China minority 4.51801,282
 56  A*11:01-B*13:01  Philippines Ivatan 4.500050
 57  A*11:01-B*13:01  Taiwan Hakka 4.500055
 58  B*13:01-DRB1*15:01:01  Taiwan Hakka 4.500055
 59  A*02-B*13-C*04  Malaysia Perak Rawa 4.400023
 60  A*02-B*13-C*08  Malaysia Perak Rawa 4.400023
 61  B*13:01-C*03:04-DRB1*16:02  China Southwest Dai 4.4000124
 62  B*13-C*06:02  Pakistan Mixed Pathan 4.4000100
 63  A*11:01-B*13:01  Hong Kong Chinese 4.3000569
 64  A*11:01-B*13:01-DRB1*16:02  China Southwest Dai 4.3000124
 65  A*30-B*13-DRB1*11  Pakistan Kalash 4.300069
 66  A*02-B*13-C*04-DRB1*12-DQB1*03-DPB1*04  Myanmar Kayin 4.280044
 67  A*30-B*13-DRB1*07  China Shaanxi Province Han 4.100010,000
 68  A*30-B*13  Pakistan Mixed Pathan 4.0000100
 69  B*13:01-C*03:04:01  Taiwan Tao 4.000050
 70  B*13:01-C*04:03  Philippines Ivatan 4.000050
 71  B*13:01-DRB1*08:03:02  Taiwan Rukai 4.000050
 72  B*13:01-DRB1*12:02:01  Taiwan Puyuma 4.000050
 73  B*13:01-DRB1*12:02:01  Taiwan Tao 4.000050
 74  A*30:01-B*13:02-C*06:02-DRB1*07:01  Taiwan pop 2 3.9000364
 75  A*30-B*13-C*06:02  Pakistan Mixed Pathan 3.9000100
 76  B*13-DRB1*07  Russia South Ural Russian 3.8000207
 77  A*34:01-B*13:01-DRB1*04:05  New Zealand Polynesians with Admixed History 3.704027
 78  A*01-B*13-DRB1*07-DQB1*02  Mexico Hidalgo, Pachuca 3.658541
 79  A*30-B*13-DRB1*07-DQB1*02  Mexico Morelos, Cuernavaca 3.658582
 80  A*02:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 3.6238192
 81  A*02:07-B*13:01-C*01:02  China Guizhou Province Miao pop 2 3.600085
 82  A*02-B*13  Mongolia Tarialan Khoton 3.500085
 83  A*02-B*13  Mongolia Ulaanbaatar Khalkha 3.400041
 84  A*02:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 3.3333120
 85  A*02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 3.3333120
 86  A*30-B*13-DRB1*07-DQB1*02  Mexico Veracruz, Orizaba 3.333360
 87  A*11:01-B*13:01  Singapore Chinese 3.3000149
 88  A*34:01-B*13:01-DRB1*04:05  New Zealand Maori with Full Ancestry 3.300046
 89  A*11-B*13-C*07-DRB1*15  Myanmar Rakhine 3.125048
 90  A*25-B*13-DRB1*07-DQA1*02-DQB1*02:02  Russia, South Ural, Chelyabinsk region, Nagaybaks 3.1200112
 91  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 3.11091,734
 92  A*11:01-B*13:01  Taiwan Pazeh 3.100055
 93  A*30:01-B*13:01-C*06:03  India Khandesh Region Pawra 3.100050
 94  A*30:01-B*13:02-C*06:02  South Korea pop 3 3.1000485
 95  B*13:01-C*03:04-DRB1*15:01  China Southwest Dai 3.1000124
 96  A*30-B*13-C*06:02-DRB1*07:01-DQB1*02  Russia Transbaikal Territory Buryats 3.0000150
 97  B*13-C*06  Macedonia 2.9720286
 98  A*24:02-B*13:01  Taiwan Tao 2.900050
 99  B*13:01-C*03:04:01  Taiwan Saisiat 2.900051
 100  B*13:01-DRB1*09:01:02  Taiwan Siraya 2.900051

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 4,570) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 46  


   

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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