Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 627) records   Pages: 1 2 3 4 5 6 7 of 7  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*40:01-C*03:04:01  Taiwan Taroko 22.700055
 2  B*40:01-C*03:04:01  Taiwan Atayal 19.3000106
 3  B*40:01-C*03:04:01  Taiwan Thao 18.300030
 4  B*40:01-C*03:04:01  Taiwan Paiwan 17.400051
 5  B*40:01-C*03:04:01  Taiwan Rukai 15.000050
 6  B*40:01-C*03:04:01  Taiwan Saisiat 14.700051
 7  B*40:01-C*03:04:01  Taiwan Tsou 12.700051
 8  B*40:01-C*03:04:01  Taiwan Ami 10.700098
 9  B*40:01-C*03:04:01  Taiwan Hakka 10.000055
 10  B*40:01-C*03:04:01  Taiwan Puyuma 9.000050
 11  B*40:01-C*03:04:01  Philippines Ivatan 8.000050
 12  B*40:01-C*03:04:01  Taiwan Bunun 6.9000101
 13  B*40:01-C*03:04:01  Taiwan Pazeh 6.400055
 14  B*40:01-C*03:04:01  Taiwan Siraya 4.900051
 15  B*40:01:01-C*03:04:01  China Jingpo Minority 3.9220105
 16  B*40:01-C*03:04:01  Taiwan Minnan pop 1 3.9000102
 17  A*02:01:01-B*40:01:02-C*03:04:01  England Blood Donors of Mixed Ethnicity 3.3010519
 18  A*11:01:01-B*40:01:01-C*03:04:01  China Jingpo Minority 2.9700105
 19  B*40:01:01-C*03:04:01-DRB1*12:02:01  China Jingpo Minority 2.6040105
 20  B*40:01-C*03:04:01  Taiwan Tao 2.000050
 21  A*11:01:01-B*40:01:01-C*03:04:01-DRB1*12:02:01  China Jingpo Minority 1.9160105
 22  A*31:01:02-B*40:01:02-C*03:04:01  England Blood Donors of Mixed Ethnicity 1.2127519
 23  A*03:01:01-B*40:01:02-C*03:04:01  South African Mixed ancestry 1.000050
 24  A*11:01:01-B*40:01:02-C*03:04:01  South African Indian population 1.000050
 25  A*24:02:01-B*40:01:02-C*03:04:01  South African Mixed ancestry 1.000050
 26  A*11:01:01-B*40:01:02-C*03:04:01  China Jingpo Minority 0.9900105
 27  B*40:01:02-C*03:04:01  China Jingpo Minority 0.9800105
 28  A*24:02:01-B*40:01:01-C*03:04:01-DRB1*04:04:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.9050221
 29  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.7000215
 30  A*01:01:01-B*40:01:02-C*03:04:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*03:01:01  Russia Belgorod region 0.6536153
 31  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQA1*01:03:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.6536153
 32  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 33  A*03:01:01-B*40:01:02-C*03:04:01-DRB1*04:05:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 34  A*03:01:01-B*40:01:02-C*03:04:01-DRB1*13:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 35  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.57681,734
 36  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.5376186
 37  A*02:07-B*40:01:01-C*03:04:01-DRB1*16:02:01  China Jingpo Minority 0.5210105
 38  A*11:01:01-B*40:01:01-C*03:04:01-DRB1*11:01:01  China Jingpo Minority 0.5210105
 39  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*04:03:01  China Jingpo Minority 0.5210105
 40  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*12:02:01  China Jingpo Minority 0.5210105
 41  A*24:02:01-B*40:01:01-C*03:04:01-DRB1*12:02:01  China Jingpo Minority 0.5210105
 42  A*33:03:01-B*40:01:01-C*03:04:01-DRB1*12:02:01  China Jingpo Minority 0.5210105
 43  B*40:01:01-C*03:04:01-DRB1*14:01:01  China Jingpo Minority 0.5210105
 44  B*40:01:01-C*03:04:01-DRB1*16:02:01  China Jingpo Minority 0.5210105
 45  B*40:01:02-C*03:04:01-DRB1*04:03:01  China Jingpo Minority 0.5210105
 46  A*02:06:01-B*40:01:02-C*03:04:01-DRB1*12:02:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 47  A*03:01:01-B*40:01:02-C*03:04:01-DRB1*14:05:01-DQB1*05:03:01  Vietnam Kinh 0.4950101
 48  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*04:05:01-DQB1*04:01:01  Vietnam Kinh 0.4950101
 49  A*24:02:01-B*40:01:01-C*03:04:01  China Jingpo Minority 0.4950105
 50  A*33:03:01-B*40:01:01-C*03:04:01  China Jingpo Minority 0.4950105
 51  A*33:03:01-B*40:01:02-C*03:04:01-DRB1*15:01:01-DQB1*05:02:01  Vietnam Kinh 0.4950101
 52  A*02:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.49411,510
 53  A*03:01:01-B*40:01:02-C*03:04:01  England Blood Donors of Mixed Ethnicity 0.4913519
 54  A*02:02-B*40:01:01-C*03:04:01-DRB1*13:02:01  Costa Rica African -Caribbean (G) 0.4902102
 55  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 56  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.4700215
 57  A*32:01:01-B*40:01:02-C*03:04:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.4700215
 58  A*03:01:01-B*40:01:01-C*03:04:01-DRB1*13:03:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 59  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.449623,595
 60  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.43621,734
 61  A*02:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.42721,510
 62  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*10:01  Russian Federation Vologda Region 0.4202119
 63  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 64  A*03:01:01-B*40:01:02-C*03:04:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 65  A*03:01:01-B*40:01:02-C*03:04:01-DRB1*08:01:01-DQA1*04:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*03:01:01  Russian Federation Vologda Region 0.4202119
 66  A*26:01:01-B*40:01:02-C*03:04:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 67  A*68:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 68  A*02:01:01:01-B*40:01:01-C*03:04:01-DRB1*14:54:01-DQB1*05:03  Russia Bashkortostan, Bashkirs 0.4167120
 69  A*02:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*13:02:01-DQB1*05:01  Russia Bashkortostan, Bashkirs 0.4167120
 70  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 71  A*02:07:01-B*40:01:02-C*03:04:01:01-DRB1*11:01:01-DQB1*06:02  Russia Bashkortostan, Bashkirs 0.4167120
 72  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 73  A*23:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 74  A*11:01:01-B*40:01:02-C*03:04:01  England Blood Donors of Mixed Ethnicity 0.3401519
 75  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.33741,734
 76  A*24:02:01-B*40:01:02-C*03:04:01  England Blood Donors of Mixed Ethnicity 0.3338519
 77  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.32801,734
 78  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*04:04:01-DQA1*02:01:01-DQB1*03:02-DPA1*01:03:01-DPB1*16:01:01  Russia Belgorod region 0.3268153
 79  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*08:01-DQA1*04:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 80  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*02:07-DPB1*03:01  Russia Belgorod region 0.3268153
 81  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*23:01:01  Russia Belgorod region 0.3268153
 82  A*25:01:01-B*40:01:02-C*03:04:01-DRB1*13:03:01-DQA1*04:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*03:01:01  Russia Belgorod region 0.3268153
 83  A*31:01:02-B*40:01:01-C*03:04:01-DRB1*04:03:01  Nicaragua Mestizo (G) 0.3226155
 84  A*31:01:02-B*40:01:01-C*03:04:01-DRB1*14:02  Nicaragua Mestizo (G) 0.3226155
 85  A*01:02-B*40:01:02-C*03:04:01-DRB1*16:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 86  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*04:01:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 87  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 88  A*03:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 89  A*31:01:02:01-B*40:01:02-C*03:04:01:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.29541,510
 90  A*01:01:01-B*40:01:01-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  India Karnataka Kannada Speaking 0.2870174
 91  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.27341,734
 92  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*14:04:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 93  A*31:01:02-B*40:01:02-C*03:04:01-DRB1*10:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 94  A*33:03:01-B*40:01:02-C*03:04:01-DRB1*13:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 95  A*02:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.26241,510
 96  A*01:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 97  A*02:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*07:01:01:01-DQB1*03:03:02:01  Russia Bashkortostan, Tatars 0.2604192
 98  A*02:01:01:01-B*40:01:02-C*03:04:01-DRB1*11:04:01-DQB1*03  Russia Bashkortostan, Tatars 0.2604192
 99  A*24:02:01:01-B*40:01:02-C*03:04:01:01-DRB1*04:04:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 100  A*24:02:01:01-B*40:01:02-C*03:04:01:01-DRB1*09:01-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192

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 627) records   Pages: 1 2 3 4 5 6 7 of 7  


   

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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