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 2,028) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 21  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*18:01-C*07:04  Philippines Ivatan 7.000050
 2  A*02:01-C*07:04  Philippines Ivatan 4.100050
 3  B*18:01-C*07:04  Kenya Nandi 3.1000240
 4  B*40:06-C*07:04  India Mumbai Maratha 3.000091
 5  A*24:02-C*07:04  Philippines Ivatan 2.900050
 6  B*18:01-C*07:04  Kenya Luo 2.8000265
 7  A*30:02-B*81:01-C*07:04  Zambia Lusaka 2.300044
 8  B*81:01-C*07:04  Zambia Lusaka 2.300044
 9  A*30:02-B*18:01-C*07:04  Kenya Luo 1.7000265
 10  B*08:01-C*07:04  Kenya Nandi 1.7000240
 11  A*01:01-B*08:01-C*07:04  Kenya Luo 1.5000265
 12  A*02:01-B*18:01-C*07:04  Kenya Nandi 1.5000240
 13  A*24:10-B*18:02-C*07:04-DRB1*12:02-DQB1*03:01  Vietnam Hanoi Kinh pop 2 1.5000170
 14  B*07:05-C*07:04  India Mumbai Maratha 1.500091
 15  B*08:01-C*07:04  Kenya Luo 1.5000265
 16  B*44:02-C*07:04  USA Caucasian pop 2 1.5000265
 17  A*03:01:01-B*39:01:01-C*07:04:01-DRB1*12:10-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 18  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*04:02:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Black 1.470668
 19  A*01:01-B*08:01-C*07:04  Kenya Nandi 1.4000240
 20  A*68:02-B*18:01-C*07:04-DRB1*08:04-DQB1*04:02-DPB1*04:01  Tanzania Maasai 1.2780336
 21  A*02:05-B*18:01-C*07:04  Kenya Nandi 1.2000240
 22  B*18:01-C*07:04  Uganda Kampala 1.2000161
 23  A*02:05-B*18:01-C*07:04  Kenya Luo 1.1000265
 24  A*01:01:01-B*53:01:01-C*07:04:01  South African Mixed ancestry 1.000050
 25  A*02:01:01-B*27:05:02-C*07:04:01  South African Mixed ancestry 1.000050
 26  A*11:01:01-B*40:01:02-C*07:04:01  South African Mixed ancestry 1.000050
 27  A*23:01:01-B*40:02:01-C*07:04:01  South African Mixed ancestry 1.000050
 28  A*34:02-B*35:01-C*07:04  Kenya Nandi 1.0000240
 29  A*68:01:02-B*40:06:01-C*07:04:01  South African Indian population 1.000050
 30  B*35:01-C*07:04  Kenya Nandi 1.0000240
 31  B*44:02-C*07:04  Ireland Northern 1.00001,000
 32  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.9804153
 33  A*02:01-B*44:02-C*07:04-DRB1*16:01  Germany DKMS - Bosnia and Herzegovina minority 0.82601,028
 34  A*02:01:01:01-B*44:27:01-C*07:04:01-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.78601,510
 35  A*11:01-B*15:64-C*07:04-DRB1*15:01-DQB1*06:01  India Northeast UCBB 0.6757296
 36  A*02:01:01-B*44:27:01-C*07:04:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.651423,595
 37  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 38  A*24:02-B*18:02-C*07:04-DRB1*12:01-DQB1*03:01  Malaysia Peninsular Malay 0.6134951
 39  A*43:01-B*18:01-C*07:04-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  South Africa Worcester 0.6000159
 40  A*02:01-B*44:02-C*07:04-DRB1*16:01  Poland DKMS 0.591620,653
 41  A*03:01:01-B*15:18:01-C*07:04:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Parda 0.5882170
 42  A*02:01:01-B*15:18:01-C*07:04:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.5837521
 43  A*26:01:01-B*15:18:01-C*07:04:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.5620356
 44  A*02:03:01-B*44:03:01-C*07:04:01-DRB1*12:02:01  China Jingpo Minority 0.5210105
 45  B*44:03:01-C*07:04:01-DRB1*10:01:01  China Jingpo Minority 0.5210105
 46  A*33:03:01-C*07:04:01-DRB1*12:02:01  China Jingpo Minority 0.5150105
 47  A*01:01-B*18:01-C*07:04-DRB1*11:01-DQA1*01:02-DQB1*02:02-DPB1*55:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 48  A*30:02-B*49:01-C*07:04-DRB1*11:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 49  A*02:03:01-B*18:01:01-C*07:04:01  China Jingpo Minority 0.4950105
 50  A*11:01:01-B*08:01:01-C*07:04:01-DRB1*11:06:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 51  A*24:10:01-B*18:02-C*07:04:01-DRB1*16:02:01-DQB1*05:02:01  Vietnam Kinh 0.4950101
 52  B*18:01:01-C*07:04:01  China Jingpo Minority 0.4900105
 53  A*02:03:01-C*07:04:01  China Jingpo Minority 0.4850105
 54  A*25:01-B*18:01-C*07:04-DRB1*07:01  Russia Bering Island Aleuts 0.4808104
 55  A*26:01-B*44:02-C*07:04-DRB1*16:01  Russia Bering Island Aleuts 0.4808104
 56  A*01:01-B*08:01-C*07:04-DRB1*13:02-DQB1*06:09-DPB1*02:01  Tanzania Maasai 0.4792336
 57  A*01:01-B*08:01-C*07:04-DRB1*13:02-DQB1*06:09-DPB1*03:01  Tanzania Maasai 0.4792336
 58  A*26:01-B*18:01-C*07:04-DRB1*11:04-DQB1*03:01-DPB1*11:01  Tanzania Maasai 0.4792336
 59  B*18:01-C*07:04  USA African American pop 4 0.45702,411
 60  B*15:18-C*07:04  USA Asian pop 2 0.45501,772
 61  A*36:01-B*18:01:01-C*07:04:01-DRB1*11:01:02  Costa Rica Guanacaste Mestizo (G) 0.4545110
 62  A*02:01-B*44:02-C*07:04-E*01:03:02-F*01:01:01-G*01:01-DRB1*11:02-DQA1*05:05-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 63  A*11:01-B*44:02-C*07:04-E*01:01:01-F*01:01:02-G*01:06-DRB1*11:01-DQA1*06:01-DQB1*03:01  Portugal Azores Terceira Island 0.4386130
 64  A*24:02-B*15:18-C*07:04-E*01:03:02-F*01:01:01-G*01:04-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 65  A*68:01-B*44:02-C*07:04-E*01:01:01-F*01:01:02-G*01:01-DRB1*11:01-DQA1*05:05-DQB1*03:01  Portugal Azores Terceira Island 0.4386130
 66  A*02:01:01-B*15:18:01-C*07:04:01-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.4210356
 67  A*24:10-B*18:02-C*07:04-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.4206951
 68  A*01:01:01-B*44:27:01-C*07:04:01-DRB1*16:01:01-DQA1*01:02:02-DQB1*05:02:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 69  A*03:01:01-B*44:27:01-C*07:04:01-DRB1*16:01:01-DQA1*02:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 70  A*25:01:01-B*44:27:01-C*07:04:01-DRB1*14:54:01-DQA1*01:02:02-DQB1*05:02-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 71  A*68:01:02-B*18:01:01-C*07:04:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:09:01-DPA1*02:02:02-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 72  A*68:01-B*15:18-C*07:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*02:01  Sri Lanka Colombo 0.4202714
 73  A*01:01:01:01-B*57:01:01-C*07:04:01-DRB1*04:08:01-DQB1*06:04  Russia Bashkortostan, Bashkirs 0.4167120
 74  A*68:01:02:02-B*44:02:01:03-C*07:04:01-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 75  A*68:01:02:02-B*51:01:01:01-C*07:04:01-DRB1*14:04:01-DQB1*05:03:01  Russia Bashkortostan, Bashkirs 0.4167120
 76  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*14:02  Costa Rica Amerindians (G) 0.4131125
 77  A*36:01-B*18:01:01-C*07:04:01-DRB1*04:11:01  Costa Rica Amerindians (G) 0.4032125
 78  A*24:02-B*38:01-C*07:04-DRB1*14:01-DQA1*01:01-DQB1*05:03  Kosovo 0.4030124
 79  B*44:02-C*07:04  USA Hispanic pop 2 0.40101,999
 80  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.39941,075
 81  A*11:01-B*18:01-C*07:04-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.3994951
 82  A*02-B*18-C*07:04-DRB1*11-DQB1*03  Russia North Ossetian 0.3900127
 83  A*02:01:01-B*15:18:01-C*07:04:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 84  A*68:01-B*44:02-C*07:04-DRB1*11:01  Germany DKMS - Spain minority 0.36101,107
 85  A*03:01-B*44:02-C*07:04-DRB1*16:01  Germany DKMS - Croatia minority 0.35702,057
 86  A*29:01:01-B*45:01:01-C*07:04:01-DRB1*11:01:02-DQB1*04:02:01-DPB1*02:01:19  South African Black 0.3520142
 87  A*30:01:01-B*18:01:01-C*07:04:01-DRB1*11:01:02-DQB1*06:02:01-DPB1*01:01:01  South African Black 0.3520142
 88  A*30:02:01-B*18:01:01-C*07:04:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*01:01:01  South African Black 0.3520142
 89  A*30:02:01-B*18:01:01-C*07:04:01-DRB1*11:01:02-DQB1*06:02:01-DPB1*105:01:01  South African Black 0.3520142
 90  A*30:02:01-B*18:01:01-C*07:04:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*665:01  South African Black 0.3520142
 91  A*24:02-B*18:01-C*07:04-DRB1*11:04-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 92  B*15:09-C*07:04  Mexico Mexico City Mestizo population 0.3497143
 93  B*18:01-C*07:04  Mexico Mexico City Mestizo population 0.3497143
 94  B*18:01-C*07:04-DRB1*11:04-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 95  A*02:01-B*15:18-C*07:04-DRB1*15:03  Brazil Vale do Ribeira Quilombos 0.3472144
 96  A*02:01-B*44:02-C*07:04-DRB1*07:01  Brazil Vale do Ribeira Quilombos 0.3472144
 97  A*01:01:01-B*44:02:01-C*07:04:01  England Blood Donors of Mixed Ethnicity 0.3469519
 98  A*02:01-B*44:02-C*07:04-DRB1*16:01  Germany DKMS - Croatia minority 0.34302,057
 99  A*02:01-B*44:02-C*07:04-DRB1*16:01-DQB1*05:02-DPB1*04:01  Russia Karelia 0.33661,075
 100  A*24:07-B*18:01-C*07:04-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.3347951

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 2,028) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 21  


   

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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