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 : 
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Displaying 1 to 100 (from 704) records   Pages: 1 2 3 4 5 6 7 8 of 8  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02:01-B*51:01:01-DRB1*07:01:01  Portugal South 3.100049
 2  A*02:01-B*51:01-DRB1*07:01  Azores Oriental Islands 2.600043
 3  A*02:01-B*51:01-DRB1*07:01  Sao Tome Island Forro 2.300066
 4  A*24:02:01-B*51:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 5  A*11:01-B*51:01-DRB1*07:01  Gaza 1.282042
 6  A*02:01:01-B*51:01:01-DRB1*07:01:01  Portugal North 1.100046
 7  A*23:01-B*51:01:01-DRB1*07:01:01  Portugal North 1.100046
 8  B*51:01-DRB1*07:01  Italy pop 5 0.9400975
 9  A*01:01-B*51:01-C*14:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Portugal Azores Terceira Island 0.8772130
 10  A*02:01:01-B*51:01:01-C*01:02:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.8333120
 11  A*03:01:01-B*51:01:01-C*14:02:01-DRB1*07:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.6787221
 12  A*24:02:01-B*51:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 13  A*26:01:01-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 14  A*32:01:01-B*51:01:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 15  A*02:02-B*51:01-DRB1*07:01-DQB1*02:02  Mexico Veracruz Xalapa 0.595284
 16  A*02:02:01-B*51:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Parda 0.5882170
 17  A*03:01:01-B*51:01:01-C*16:04:01-DRB1*07:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 18  A*26:01-B*51:01-DRB1*07:01  Israel Kavkazi Jews 0.58102,840
 19  A*23:01-B*51:01-DRB1*07:01-DQB1*02:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 20  A*01:02-B*51:01-DRB1*07:01-DQB1*03:03  Iran Tabriz Azeris 0.515597
 21  A*11:01-B*51:01-DRB1*07:01-DQB1*02:01  Iran Tabriz Azeris 0.515597
 22  A*66:01-B*51:01-DRB1*07:01-DQB1*02:01  Iran Tabriz Azeris 0.515597
 23  A*01:01-B*51:01-C*16:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 24  A*02:01-B*51:01-C*02:02-DRB1*07:01  Italy pop 5 0.5000975
 25  A*02:01-B*51:01-C*06:02-DRB1*07:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 26  A*02:01-B*51:01-C*16:01-DRB1*07:01-DQA1*02:01-DQB1*03:02-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 27  A*03:01:01-B*51:01:01-C*14:02:01-DRB1*07:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 28  A*29:02:01-B*51:01:01-C*16:01:01-DRB1*07:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 29  A*01:01-B*51:01-C*15:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*05:03  Portugal Azores Terceira Island 0.4386130
 30  A*03:01-B*51:01-C*15:02-E*01:03:02-F*01:01:02-G*01:01-DRB1*07:01-DQA1*05:01-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 31  A*02:01:01-B*51:01:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 32  A*02:01:01-B*51:01:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 33  A*25:01:01-B*51:01:01-C*12:03:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 34  A*29:01-B*51:01-DRB1*07:01  Israel Bukhara Jews 0.41002,317
 35  A*02:01-B*51:01-C*07:02-DRB1*07:01-DQB1*03:03  Malaysia Peninsular Indian 0.3690271
 36  A*03:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 37  B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 38  B*51:01-C*16:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 39  A*24:02-B*51:01-C*02:02-DRB1*07:01  Brazil Vale do Ribeira Quilombos 0.3472144
 40  A*34:02-B*51:01-C*14:02-DRB1*07:01  Brazil Vale do Ribeira Quilombos 0.3472144
 41  A*31:01-B*51:01-C*15:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Puyanawa 0.3333150
 42  A*02:01-B*51:01-DRB1*07:01  Croatia pop 4 0.33004,000
 43  A*24:02:01-B*51:01:01-C*04:01:01-DRB1*07:01:01-DQA1*01:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 44  A*32:01:01-B*51:01:01-C*15:02:01-DRB1*07:01  Nicaragua Mestizo (G) 0.3226155
 45  A*33:03:01-B*51:01:01-C*08:01:01-DRB1*07:01  Nicaragua Mestizo (G) 0.3226155
 46  A*31:08-B*51:01-DRB1*07:01  Israel Georgia Jews 0.31804,471
 47  A*02:05:01-B*51:01:01-C*05:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 48  A*24:02:01-B*51:01:01-C*04:01:01-DRB1*07:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 49  A*02:01-B*51:01-C*16:01-DRB1*07:01  Germany DKMS - Portugal minority 0.31201,176
 50  A*02:01-B*51:01-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*01:01  South Africa Worcester 0.3000159
 51  A*02:01-B*51:01-C*02:02-DRB1*07:01-DQB1*02:02  Italy pop 5 0.2900975
 52  A*02:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  Italy pop 5 0.2900975
 53  A*03:02-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02  Italy pop 5 0.2900975
 54  A*32:01-B*51:01-C*01:02-DRB1*07:01-DQB1*02:02  Italy pop 5 0.2900975
 55  A*68:01-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  Italy pop 5 0.2900975
 56  A*68:01:02-B*51:01:01-C*03:03:01-DRB1*07:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 57  A*11:01:01-B*51:01:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.2810356
 58  A*03:02:01-B*51:01:01-C*15:04:01-DRB1*07:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 59  A*68:01:01-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 60  A*32:01-B*51:01-DRB1*07:01  Israel Bukhara Jews 0.25902,317
 61  A*03:01-B*51:01-C*16:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.23401,999
 62  A*24:02:01-B*51:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 63  A*66:01:01-B*51:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 64  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*07:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 65  A*02:01-B*51:01-C*01:02-DRB1*07:01-DQA1*01:01-DQB1*02:02-DPB1*04:02  Nicaragua Managua 0.2165339
 66  A*24:02-B*51:01-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Nicaragua Managua 0.2165339
 67  A*24:02-B*51:01-DRB1*07:01  Israel Tunisia Jews 0.21109,070
 68  A*02:01-B*51:01-C*01:02-DRB1*07:01  Italy pop 5 0.2000975
 69  A*03:02-B*51:01-C*15:02-DRB1*07:01  Italy pop 5 0.2000975
 70  A*11:01-B*51:01-C*15:02-DRB1*07:01:01-DQB1*02:01  England North West 0.2000298
 71  A*30:01-B*51:01-C*16:01:01-DRB1*07:01:01-DQB1*02:01  England North West 0.2000298
 72  A*68:01-B*51:01-C*06:02-DRB1*07:01:01-DQB1*02:01  England North West 0.2000298
 73  A*68:01-B*51:01-C*14:02-DRB1*07:01  Italy pop 5 0.2000975
 74  A*02:02:01-B*51:01:01-C*02:02:02-DRB1*07:01:01-DQB1*04:02:01-DPA1*02:01:08-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 75  A*25:01:01-B*51:01:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 76  A*30:01:01-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 77  A*32:01:01-B*51:01:01-C*16:01:01-DRB1*07:01:01-DQB1*03:19:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 78  A*01:01-B*51:01-C*06:02-DRB1*07:01-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 79  A*11:01-B*51:01-C*07:02-DRB1*07:01-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 80  A*02:01-B*51:01-C*14:02-DRB1*07:01  Germany DKMS - Spain minority 0.18401,107
 81  A*02:01-B*51:01-C*07:01-DRB1*07:01-DQB1*03:03  Germany DKMS - Italy minority 0.17301,159
 82  A*02:01-B*51:01-C*14:02-DRB1*07:01  Germany DKMS - Portugal minority 0.17001,176
 83  A*02:01-B*51:01-C*15:02-DRB1*07:01  Germany DKMS - Portugal minority 0.17001,176
 84  A*02:02-B*51:01-DRB1*07:01  Israel Tunisia Jews 0.17009,070
 85  A*03:01-B*51:01-C*14:02-DRB1*07:01-DQB1*03:01  India Northeast UCBB 0.1689296
 86  A*26:01-B*51:01-C*16:02-DRB1*07:01-DQB1*03:03  India Northeast UCBB 0.1689296
 87  A*23:01-B*51:01-C*16:46-DRB1*07:01-DQB1*02:02-DPB1*131:01  Tanzania Maasai 0.1597336
 88  A*02:01-B*51:01-C*02:02-DRB1*07:01  Germany DKMS - Austria minority 0.15901,698
 89  A*02:01-B*51:01-DRB1*07:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 90  A*31:01-B*51:01-DRB1*07:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 91  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*17:01:01  Saudi Arabia pop 6 (G) 0.148628,927
 92  A*02:01-B*51:01-DRB1*07:01  Israel Argentina Jews 0.14504,307
 93  A*11:01-B*51:01-DRB1*07:01  Israel Iraq Jews 0.143013,270
 94  A*02:01-B*51:01-C*04:01-DRB1*07:01-DQB1*03:03  Italy pop 5 0.1400975
 95  A*02:01-B*51:01-C*07:02-DRB1*07:01-DQB1*03:03  Italy pop 5 0.1400975
 96  A*02:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.14001,999
 97  A*11:01-B*51:01-C*15:02-DRB1*07:01-DQB1*03:03  Italy pop 5 0.1400975
 98  A*24:02:01-B*51:01:01-C*16:02:01-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 99  A*31:01-B*51:01-C*15:02-DRB1*07:01-DQB1*03:03  Italy pop 5 0.1400975
 100  A*31:01-B*51:01-C*15:03-DRB1*07:01-DQB1*06:03  Italy pop 5 0.1400975

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 704) records   Pages: 1 2 3 4 5 6 7 8 of 8  


   

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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