Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 5,695) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 57  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*40:02-C*03:03  Taiwan Siraya 13.700051
 2  B*40:02-C*03:03  Taiwan Rukai 13.000050
 3  A*24:02-C*03:03  Taiwan Rukai 12.600050
 4  A*24:02-C*03:03  Taiwan Siraya 12.000051
 5  A*24:02-C*03:03  Taiwan Paiwan 9.800051
 6  B*40:02-C*03:03  Taiwan Paiwan 9.800051
 7  B*40:02-C*03:03  Taiwan Tsou 8.800051
 8  A*24:02-C*03:03  Taiwan Tao 8.000050
 9  B*40:02-C*03:03  Taiwan Tao 8.000050
 10  B*40:02-C*03:03  Taiwan Taroko 7.300055
 11  A*24:02-C*03:03  Taiwan Tsou 6.900051
 12  A*24:02-C*03:03  Taiwan Atayal 6.3000106
 13  B*35:01-C*03:03  Japan Central 6.3000371
 14  A*26:01-C*03:03  Taiwan Taroko 6.000055
 15  B*40:02-C*03:03  Taiwan Puyuma 6.000050
 16  B*55:02-C*03:03  Taiwan Atayal 5.7000106
 17  A*02:01-B*15-C*03:03  Spain Gipuzkoa Basque 5.0000100
 18  A*24:02-C*03:03  Taiwan Puyuma 5.000050
 19  A*31:01-B*35:01-C*03:03-DRB1*14:01  China Yunnan Hani 5.0000150
 20  A*24:02-C*03:03  Taiwan Pazeh 4.400055
 21  B*15:01-C*03:03  USA Alaska Yupik 4.4000252
 22  B*52:01-C*03:03  Mexico Oaxaca Zapotec 4.400090
 23  B*15:01-C*03:03  USA Caucasian pop 2 4.0000265
 24  B*35:23-C*03:03  Mexico Oaxaca Mixtec 4.0000103
 25  B*52:01-C*03:03  Mexico Oaxaca Mixe 3.900055
 26  B*40:02-C*03:03  Taiwan Ami 3.600098
 27  A*24:02-C*03:03  Taiwan Taroko 3.100055
 28  B*40:02-C*03:03  Philippines Ivatan 3.000050
 29  B*55:02-C*03:03  Taiwan Bunun 3.0000101
 30  A*02:01-C*03:03  Taiwan Tsou 2.900051
 31  A*68:01-B*15:01-C*03:03-DRB1*14:02-DQB1*03:02  Colombia North Wiwa El Encanto 2.884652
 32  A*02:01-C*03:03  Taiwan Hakka 2.700055
 33  A*02-B*15-C*03:03-DRB1*04:01-DQB1*03  Russia Transbaikal Territory Buryats 2.6670150
 34  A*24:02-C*03:03  Taiwan Ami 2.600098
 35  A*02:01-C*03:03  Taiwan Bunun 2.5000101
 36  A*02:06:01-B*40:02:01-C*03:03:01-DRB1*08:03:02-DQB1*06:01:01-DPB1*05:01  China Yunnan Province Lisu 2.5000111
 37  B*40:02-C*03:03  Taiwan Bunun 2.5000101
 38  A*24:02:01-B*15:01:01-C*03:03:01-DRB1*01:01  Costa Rica Amerindians (G) 2.4478125
 39  B*52:01-C*03:03  Mexico Mexico City Mestizo population 2.4476143
 40  A*26:01-C*03:03  Taiwan Bunun 2.4000101
 41  B*07:05-C*03:03  India Mumbai Maratha 2.400091
 42  B*15:01-C*03:03  Japan Central 2.4000371
 43  A*11:01:01-B*55:01:01-C*03:03:01-DRB1*04:03:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Black 2.381073
 44  A*31:01:02-B*15:04:01-C*03:03:01-DRB1*14:02:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Black 2.381073
 45  A*32:01:01-B*15:01:01-C*03:03:01-DRB1*10:01:01-DQB1*03:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 2.381073
 46  A*33:01:01-B*55:01:01-C*03:03:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Barra Mansa Rio State Black 2.381073
 47  A*24:02-B*35:01-C*03:03-DRB1*12:02-DQA1*01:02-DQB1*05:02  Brazil Puyanawa 2.3333150
 48  B*55:01-C*03:03  Ireland Northern 2.30001,000
 49  A*24:02-C*03:03  Taiwan Minnan pop 1 2.2000102
 50  A*26:01-C*03:03  Taiwan Atayal 2.2000106
 51  B*15:01-C*03:03  Ireland Northern 2.10001,000
 52  A*11:01-C*03:03  Philippines Ivatan 2.000050
 53  A*24:02-C*03:03  Philippines Ivatan 2.000050
 54  B*13:01-C*03:03  Philippines Ivatan 2.000050
 55  A*02:01-B*15:01-C*03:03  USA San Francisco Caucasian 1.9000220
 56  B*40:02-C*03:03  Taiwan Atayal 1.9000106
 57  A*24:02:01-B*15:01:01-C*03:03:01-DRB1*01:01  Costa Rica Guanacaste Mestizo (G) 1.8182110
 58  A*26:01-C*03:03  Taiwan Pazeh 1.800055
 59  B*15:01:01-C*03:03  Taiwan Pazeh 1.800055
 60  B*15:11-C*03:03  Taiwan Hakka 1.800055
 61  B*40:02-C*03:03  Taiwan Pazeh 1.800055
 62  B*55:02-C*03:03  Taiwan Pazeh 1.800055
 63  B*55:02-C*03:03  Taiwan Taroko 1.800055
 64  B*52:01-C*03:03-DRB1*14:06-DQB1*03:01  Mexico Mexico City Mestizo population 1.7483143
 65  A*11:01-C*03:03  Taiwan Siraya 1.700051
 66  A*02:01:01-B*15:01:01-C*03:03-DRB1*13:01  South Africa Caucasians 1.6700102
 67  A*02-B*35-C*03:03  South Korea pop 1 1.6000324
 68  B*35:01-C*03:03  USA Asian pop 2 1.58501,772
 69  A*02:01-B*15:01-C*03:03  USA Caucasian pop 2 1.5000265
 70  A*26-B*15-C*03:03  South Korea pop 1 1.5000324
 71  B*15:01-C*03:03  Taiwan Minnan pop 1 1.5000102
 72  B*40:02-C*03:03  Taiwan Minnan pop 1 1.5000102
 73  B*52:01-C*03:03  USA Hispanic 1.5000234
 74  B*55:01-C*03:03  USA Caucasian pop 2 1.5000265
 75  B*40:01:01-C*03:03:01  China Jingpo Minority 1.4710105
 76  A*29:02:01-B*07:02:01-C*03:03:01-DRB1*15:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 77  A*02:01-B*15:11-C*03:03  South Korea pop 3 1.4000485
 78  A*02-B*15-C*03:03  South Korea pop 1 1.4000324
 79  A*02:01-B*52:01-C*03:03-DRB1*14:06-DQB1*03:01  Mexico Mexico City Mestizo population 1.3986143
 80  A*02:01-B*15:04-C*03:03-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Puyanawa 1.3333150
 81  B*52:01-C*03:03  Mexico Mexico City Mestizo pop 2 1.2800234
 82  B*15:01-C*03:03  USA Hispanic pop 2 1.27401,999
 83  A*02:01-C*03:03  Taiwan Minnan pop 1 1.2000102
 84  B*15:01-C*03:03  USA Asian 1.2000358
 85  B*15:01-C*03:03  Uganda Kampala 1.2000161
 86  A*24:02-B*15:01-C*03:03-DRB1*11:03-DQB1*03:01  Italy pop 5 1.1600975
 87  A*25:01:01-B*15:01:01-C*03:03:01-DRB1*01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 1.1312221
 88  A*24:02:01-B*15:01:01-C*03:03:01  England Blood Donors of Mixed Ethnicity 1.1251519
 89  A*02:01-B*15-C*03:03  Spain Catalonia Girona 1.100088
 90  A*11:01-C*03:03  Taiwan Pazeh 1.100055
 91  B*15:01-C*03:03  USA North American Native 1.1000187
 92  B*15:01-C*03:03-DRB1*15:01  South Korea pop 3 1.1000485
 93  B*55:01-C*03:03  USA North American Native 1.1000187
 94  B*15:01-C*03:03  USA Asian pop 2 1.09801,772
 95  A*24:02-B*35:17-C*03:03-DRB1*04:11-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 96  A*68:01-B*52:01-C*03:03-DRB1*04:11-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 97  A*24:02-B*15:01-C*03:03  Italy pop 5 1.0500975
 98  B*40:01:01-C*03:03:01-DRB1*15:02:01  China Jingpo Minority 1.0420105
 99  A*11:01:01-B*55:01:01-C*03:03:01  England Blood Donors of Mixed Ethnicity 1.0341519
 100  A*02-B*40-C*03:03  South Korea pop 1 1.0000324

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 5,695) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 57  


   

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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