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 936) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 10  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*31:01:02-B*51:02:01-C*08:01  Mexico Chihuahua Tarahumara 5.700044
 2  A*31:01:02-B*51:02:01-C*08:01-DRB1*08:02:01-DQB1*04:02-DPB1*04:02  Mexico Chihuahua Tarahumara 4.600044
 3  A*31:01:02-B*35:01-DRB1*04:07-DQB1*03:02  USA South Dakota Lakota Sioux 4.1000302
 4  A*31:01:02-B*40:02  Mexico Guadalajara Mestizo pop 2 2.9000103
 5  A*31:01:02-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 2.777872
 6  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
 7  A*31:01:02-B*15:01-DRB1*04:03-DQB1*03:02  USA South Dakota Lakota Sioux 2.2000302
 8  A*31:01:02-B*51:01-DRB1*08:11-DQB1*04:02  USA South Dakota Lakota Sioux 2.2000302
 9  A*31:01:02-B*51:01:01-DRB1*13:01:01  Portugal Center 2.000050
 10  A*31:01:02-B*39:01-DRB1*04:07-DQB1*03:02  USA South Dakota Lakota Sioux 1.6000302
 11  A*31:01:02-B*35:12  Mexico Guadalajara Mestizo pop 2 1.5000103
 12  A*31:01:02-B*18:01:01-C*05:01:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Black 1.470668
 13  A*31:01:02-B*27:05:02-C*01:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Black 1.470668
 14  A*31:01:02-B*27:05:02-C*01:02:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 15  A*31:01:02-B*35:01:01-C*07:01:01-DRB1*07:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Black 1.470668
 16  A*31:01:02-B*39:03:01-C*18:02:01-DRB1*13:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*14:01:01  Brazil Rio de Janeiro Black 1.470668
 17  A*31:01:02-B*35:01-DRB1*04:07-DQB1*03:02  Peru Titikaka Lake Uros 1.4300105
 18  A*31:01:02-B*35:01-DRB1*03:01  Azores Oriental Islands 1.300043
 19  A*31:01:02:01-B*51:01:01-C*15:02:01:01-DRB1*04:07:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 1.2500120
 20  A*31:01:02-B*40:01:02-C*03:04:01  England Blood Donors of Mixed Ethnicity 1.2127519
 21  A*31:01:02-B*51:02:01-DRB1*04:06:01  China Jingpo Minority 1.1540105
 22  A*31:01:02-B*51:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 1.1240356
 23  A*31:01:02-B*07:02:01-DRB1*15:01:01  Portugal North 1.100046
 24  A*31:01:02-B*35:03-DRB1*01:03  Portugal North 1.100046
 25  A*31:01:02-B*39:01:01-DRB1*15:01:01  Portugal North 1.100046
 26  A*31:01:02-B*40:02-DRB1*01:01  Portugal North 1.100046
 27  A*31:01:02-B*50:01-DRB1*03:01:01  Portugal North 1.100046
 28  A*31:01:02-B*51:01:01-DRB1*08:01:01  Portugal North 1.100046
 29  A*31:01:02-B*40:02:01-C*03:05-DRB1*04:07  Costa Rica Amerindians (G) 1.0753125
 30  A*31:01:02-B*40:06:01-C*15:02:01-DRB1*15:01:01  China Jingpo Minority 1.0420105
 31  A*31:01:02-C*15:02:01-DRB1*04:06:01  China Jingpo Minority 1.0310105
 32  A*31:01:02-B*35:03:01-C*04:01:01  South African Indian population 1.000050
 33  A*31:01:02-B*39:10:01-C*03:04:01  South African Mixed ancestry 1.000050
 34  A*31:01:02-B*40:01:01-DRB1*03:01:01  Portugal Center 1.000050
 35  A*31:01:02-B*40:01-C*03:04  Ireland South 1.0000250
 36  A*31:01:02-B*40:06:01-C*06:02:01  South African Indian population 1.000050
 37  A*31:01:02-B*51:01:01-DRB1*04:07:01  Portugal South 1.000049
 38  A*31:01:02-B*52:01:01-DRB1*15:02:01  Portugal Center 1.000050
 39  A*31:01:02-B*57:01:01-DRB1*04:03:01  Portugal South 1.000049
 40  A*31:01:02-B*57:01:01-DRB1*07:01:01  Portugal South 1.000049
 41  A*31:01:02-B*67:01:02-DRB1*15:01:01  Portugal South 1.000049
 42  A*31:01:02-B*40:06:01  China Jingpo Minority 0.9900105
 43  A*31:01:02-B*51:02:01-C*15:02:01  China Jingpo Minority 0.9900105
 44  A*31:01:02-B*51:02:01-C*15:02:01-DRB1*08:03:02-DQB1*06:01:01  Vietnam Kinh 0.9900101
 45  A*31:01:02-C*15:02:01  China Jingpo Minority 0.9710105
 46  A*31:01:02-B*35:17:01-C*04:01:01-DRB1*04:07  Nicaragua Mestizo (G) 0.9677155
 47  A*31:01:02-B*40:02:01-C*03:05-DRB1*04:07  Nicaragua Mestizo (G) 0.9677155
 48  A*31:01:02-B*15:01-DRB1*09:01-DQB1*03:03  Peru Titikaka Lake Uros 0.9300105
 49  A*31:01:02-B*40:02:01-C*03:05-DRB1*04:07  Costa Rica Guanacaste Mestizo (G) 0.9091110
 50  A*31:01:02-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.8065186
 51  A*31:01:02-B*15:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 52  A*31:01:02-B*35:01:01-C*04:01:01-DRB1*01:03:01-DQB1*05:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 53  A*31:01:02-B*35:01:01-C*04:01:01-DRB1*04:11:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 54  A*31:01:02-B*35:01:01-C*15:02:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 55  A*31:01:02-B*39:01:01-C*07:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 56  A*31:01:02-B*39:06:01-C*07:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 57  A*31:01:02-B*40:02:01-C*03:02:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 58  A*31:01:02-B*40:02:01-C*03:02:01-DRB1*14:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 59  A*31:01:02-B*48:01:01-C*08:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 60  A*31:01:02-B*58:01:01-C*03:02:01-DRB1*03:01:01-DQB1*02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 61  A*31:01:02-B*40:02:01-C*03:05-DRB1*04:07-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.6787221
 62  A*31:01:02-B*35:20:01-C*04:01:01-DRB1*14:02  Nicaragua Mestizo (G) 0.6452155
 63  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*13:01:01  Saudi Arabia pop 6 (G) 0.629428,927
 64  A*31:01:02-B*13:02:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Parda 0.5882170
 65  A*31:01:02-B*44:02:01-C*05:01:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Parda 0.5882170
 66  A*31:01:02-B*55:01:01-C*03:03:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 67  A*31:01:02-B*58:02:01-C*06:02:01-DRB1*11:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 68  A*31:01:02-B*40:02:01-C*03:05-DRB1*11:01  Costa Rica Amerindians (G) 0.5376125
 69  A*31:01:02-B*38:02:01-C*07:02:01-DRB1*15:02:01  China Jingpo Minority 0.5210105
 70  A*31:01:02-B*38:02:01-DRB1*12:02:01  China Jingpo Minority 0.5210105
 71  A*31:01:02:01-B*44:02:01:01-C*07:18-DRB1*04:04:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.5208192
 72  A*31:01:02:01-B*52:01:01:02-C*12:02:02-DRB1*15:02-DQB1*06:01  Russia Bashkortostan, Tatars 0.5208192
 73  A*31:01:02-C*07:02:01-DRB1*12:02:01  China Jingpo Minority 0.5150105
 74  A*31:01:02-B*38:02:01  China Jingpo Minority 0.4950105
 75  A*31:01:02-B*38:02:01-C*07:02:01  China Jingpo Minority 0.4950105
 76  A*31:01:02-B*48:01:01-C*08:01:01-DRB1*11:01:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 77  A*31:01:02-B*51:01:01-C*04:01:01-DRB1*04:07  Costa Rica African -Caribbean (G) 0.4902102
 78  A*31:01:02-B*35:05-DRB1*08:02-DQB1*03:02  Peru Titikaka Lake Uros 0.4900105
 79  A*31:01:02-C*07:02:01  China Jingpo Minority 0.4850105
 80  A*31:01:02-B*15:01-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 0.4800105
 81  A*31:01:02-B*35:05-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 0.4800105
 82  A*31:01:02-B*35:20-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 0.4800105
 83  A*31:01:02-B*35:21-DRB1*09:01-DQB1*03:03  Peru Titikaka Lake Uros 0.4800105
 84  A*31:01:02-B*52:01-DRB1*04:07-DQB1*03:02  Peru Titikaka Lake Uros 0.4800105
 85  A*31:01:02-B*78:02-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 0.4800105
 86  A*31:01:02-B*14:02:01-C*04:01:01-DRB1*04:05:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 87  A*31:01:02-B*35:17:01-C*01:02:01-DRB1*04:02:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 88  A*31:01:02-B*35:43:01-C*01:02:01-DRB1*04:07  Costa Rica Guanacaste Mestizo (G) 0.4545110
 89  A*31:01:02-B*40:02:01-C*03:05-DRB1*14:06:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 90  A*31:01:02-B*40:08-C*03:04:01-DRB1*04:03:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 91  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*01:01:01  Russian Federation Vologda Region 0.4202119
 92  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*04:04:01-DQA1*01:05:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 93  A*31:01:02-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 94  A*31:01:02-B*39:01:01-C*02:02:02-DRB1*04:01:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 95  A*31:01:02-B*54:01:01-C*01:02:01-DRB1*14:05:01-DQA1*01:04:01-DQB1*05:03:01-DPA1*02:01:02-DPB1*47:01:01  Russian Federation Vologda Region 0.4202119
 96  A*31:01:02:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 97  A*31:01:02:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03  Russia Bashkortostan, Bashkirs 0.4167120
 98  A*31:01:02:01-B*37:01:01-C*03:03:01-DRB1*10:01:01-DQB1*05:01  Russia Bashkortostan, Bashkirs 0.4167120
 99  A*31:01:02:01-B*41:02:01-C*05:01:01:02-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Bashkirs 0.4167120
 100  A*31:01:02:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120

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 936) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 10  


   

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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