Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 1,984) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 20  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*51:01-C*15:02  USA North American Native 5.9000187
 2  B*51:01-C*15:02  Mexico Oaxaca Mixtec 3.0000103
 3  B*51:01-C*15:02  Tunisia 2.5000100
 4  B*51:01-C*15:02  Mexico Mexico City Mestizo population 2.4476143
 5  B*51:01-C*15:02  USA Hispanic 2.4000234
 6  B*51:01-C*15:02  USA Hispanic pop 2 2.23101,999
 7  B*51:01-C*15:02  Italy pop 5 2.1100975
 8  B*51:01-C*15:02  Mexico Mexico City Mestizo pop 2 1.9200234
 9  B*51:01-C*15:02  USA Caucasian pop 2 1.9000265
 10  A*02:01-B*51:01-C*15:02-DRB1*11:01-DQA1*05:05-DQB1*03:01  Kosovo 1.6130124
 11  B*51:01-C*15:02  Mexico Oaxaca Zapotec 1.500090
 12  A*02:01:01-B*51:01:01-C*15:02:01  England Blood Donors of Mixed Ethnicity 1.2818519
 13  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
 14  A*31:01-B*51:01-C*15:02  USA North American Native 1.1000187
 15  A*32:01-B*51:01:01-C*15:02:01-DRB1*01:01  Iran Baloch 1.1000100
 16  A*33:03-B*51:01:01-C*15:02:01-DRB1*03:01  Iran Baloch 1.1000100
 17  B*51:01-C*15:02  Ireland Northern 1.10001,000
 18  B*51:01-C*15:02  Japan Central 1.1000371
 19  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 1.0753186
 20  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*04:02-DQB1*03:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 1.055528,927
 21  A*02:01-B*51:01-C*15:02-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Puyanawa 1.0000150
 22  A*11:03-B*51:01:01-C*15:02:01  South African Indian population 1.000050
 23  B*51:01-C*15:02  USA Alaska Yupik 1.0000252
 24  A*11:01-B*51:01-C*15:02-DRB1*04:04  Russia Bering Island Aleuts 0.9615104
 25  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.9300215
 26  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*11:01  Costa Rica Guanacaste Mestizo (G) 0.9091110
 27  B*51:01-C*15:02  USA Asian pop 2 0.88701,772
 28  B*51:01-C*15:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.8600234
 29  A*24:02-B*51:01-C*15:02  Italy pop 5 0.8500975
 30  A*68:01:02:02-B*51:01:01-C*15:02:01:01-DRB1*15:01:01-DQB1*06:02  Russia Bashkortostan, Bashkirs 0.8333120
 31  A*02:01-B*51:01-C*15:02-DRB1*16:01-DQA1*01:02-DQB1*05:02  Kosovo 0.8060124
 32  A*26:01-B*51:01-C*15:02-DRB1*01:01-DQB1*03:01  Iran Gorgan 0.780064
 33  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 34  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 35  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 36  A*68:03:01-B*51:01:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 37  A*02:13-B*51:01-C*15:02-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.67411,463
 38  A*31:01-B*51:01-C*15:02-DRB1*04:04-DQA1*03:02-DQB1*03:01  Brazil Puyanawa 0.6667150
 39  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.6536153
 40  A*03:02-B*51:01-C*15:02  Italy pop 5 0.6300975
 41  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
 42  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
 43  A*02:01-B*51:01-C*15:02  Italy pop 5 0.5900975
 44  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*02:02:02-DPB1*05:01:01  Brazil Rio de Janeiro Parda 0.5882170
 45  A*33:03:01-B*51:01:01-C*15:02:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Parda 0.5882170
 46  A*34:02:01-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 47  A*11:01:01-B*51:01:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.5376186
 48  A*02:01-B*51:01-C*15:02-DRB1*04:02-DQB1*03:02  Germany DKMS - Turkey minority 0.52604,856
 49  A*68:01-B*51:01-C*15:02-DRB1*15:01  Russia Bering Island Aleuts 0.4808104
 50  A*11:01-B*51:01-C*15:02  Italy pop 5 0.4800975
 51  A*24:02-B*51:01-C*15:02-DRB1*11:01  Italy pop 5 0.4800975
 52  A*03:01:01-B*51:01:01-C*15:02:01-DRB1*01:02:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 53  A*02:01-B*51:01-C*15:02-DRB1*11:01  Germany DKMS - Greece minority 0.46901,894
 54  A*01:01:01-B*51:01:01-C*15:02:01-DRB1*10:01:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 55  A*02:11:01-B*51:01:01-C*15:02:01-DRB1*14:02  Costa Rica Guanacaste Mestizo (G) 0.4545110
 56  A*03:02-B*51:01-C*15:02-DRB1*11:01-DQB1*03:01  Italy pop 5 0.4400975
 57  A*24:02-B*51:01-C*15:02-DRB1*11:04-DQB1*03:01  Italy pop 5 0.4400975
 58  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
 59  A*02:01-B*51:01-C*15:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*01:02-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 60  A*02:01-B*51:01-C*15:02-E*01:01:01-F*01:03:01-G*01:01-DRB1*09:01:02-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 61  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
 62  A*23:01-B*51:01-C*15:02-E*01:01:01-F*01:03:01-G*01:03-DRB1*01:01-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 63  A*68:01-B*51:01-C*15:02-E*01:01:01-F*01:01:02-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 64  A*02:01-B*51:01-C*15:02-DRB1*13:01  Germany DKMS - Spain minority 0.43701,107
 65  A*02:22-B*51:01-C*15:02-DRB1*16:02-DQA1*05:01-DQB1*03:01-DPB1*04:01  Nicaragua Managua 0.4329339
 66  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.4210356
 67  A*02:01-B*51:01-C*15:02-DRB1*04:02  Germany DKMS - Greece minority 0.41801,894
 68  A*02:01:01:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Bashkirs 0.4167120
 69  A*02:06:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03  Russia Bashkortostan, Bashkirs 0.4167120
 70  A*02:17:02-B*51:01:01-C*15:02:01:01-DRB1*12:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 71  A*31:01:02:01-B*51:01:01-C*15:02:01:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Bashkirs 0.4167120
 72  A*31:01:02:01-B*51:01:01-C*15:02:01:01-DRB1*09:01-DQB1*03:03:02  Russia Bashkortostan, Bashkirs 0.4167120
 73  A*31:01:02:01-B*51:01:01-C*15:02:01-DRB1*04:07:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 74  A*68:01:02:02-B*51:01:01-C*15:02:01:01-DRB1*15:01:01:03-DQB1*06:02:01  Russia Bashkortostan, Bashkirs 0.4167120
 75  A*02:11:01-B*51:01:01-C*15:02:01-DRB1*14:02  Costa Rica Amerindians (G) 0.4032125
 76  A*02:01-B*51:01-C*15:02-DRB1*11:04-DQA1*05:05-DQB1*05:01  Kosovo 0.4030124
 77  A*11:01-B*51:01-C*15:02-DRB1*11:01-DQA1*05:05-DQB1*03:01  Kosovo 0.4030124
 78  A*02:04-B*51:01-C*15:02-DRB1*04:11-DQB1*04:02  USA NMDP Caribean Indian 0.395814,339
 79  A*32:01:01-B*51:01:01-C*15:02:01-DRB1*16:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*14:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 80  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.377128,927
 81  A*24:02-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Indian 0.3690271
 82  B*51:01-C*15:02  USA African American pop 4 0.35302,411
 83  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*15:01:01-DQB1*03:02:01-DPB1*03:01:01  South African Black 0.3520142
 84  A*02:01-B*51:01-C*15:02-DRB1*16:01  Germany DKMS - Greece minority 0.35201,894
 85  A*11:01-B*51:01-C*15:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 86  B*51:01-C*15:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 87  A*11:01-B*51:01-C*15:02-DRB1*14:01  Brazil Vale do Ribeira Quilombos 0.3472144
 88  A*03:02-B*51:01-C*15:02-DRB1*11:01-DQB1*03:01  India Northeast UCBB 0.3378296
 89  A*31:01-B*51:01-C*15:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Puyanawa 0.3333150
 90  A*02:04-B*51:01-C*15:02-DRB1*04:11-DQB1*04:02  USA Hispanic pop 2 0.32701,999
 91  A*11:01:01-B*51:01:01-C*15:02:01-DRB1*04:04:01-DQA1*03:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.3268153
 92  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*04:11:01  Nicaragua Mestizo (G) 0.3226155
 93  A*32:01:01-B*51:01:01-C*15:02:01-DRB1*07:01  Nicaragua Mestizo (G) 0.3226155
 94  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*04:07:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 95  A*03:01:01-B*51:01:01-C*15:02:01-DRB1*04:07:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 96  A*03:02:01-B*51:01:01-C*15:02:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 97  A*23:01:01-B*51:01:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 98  A*32:01:02-B*51:01:01-C*15:02:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 99  A*68:01:01-B*51:01:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 100  A*02:01-B*51:01-C*15:02-DRB1*11:01  Italy pop 5 0.3000975

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 1,984) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 20  


   

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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional