Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 1 to 100 (from 264) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01-B*15:01-DRB1*13-DQB1*06  Guatemala, Guatemala City Mixed Ancestry 1.1800127
 2  A*02:01-B*15:01-C*03:03-DRB1*13:01-DQA1*01:03-DQB1*06:03  Kosovo 0.8060124
 3  A*01-B*15:01-DRB1*13-DQB1*06  Mexico Nayarit Rural 0.781264
 4  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.6536153
 5  A*02:01:01-B*15:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*20:01:01  Brazil Rio de Janeiro Parda 0.5882170
 6  A*32:01-B*15:01-DRB1*13:05-DQB1*06:03  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 7  A*03-B*15:01-DRB1*13-DQB1*06  Mexico Sinaloa Rural 0.5464183
 8  A*24-B*15:01-DRB1*13-DQB1*06  Mexico Sinaloa Rural 0.5464183
 9  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.518823,595
 10  A*02-B*15:01-DRB1*13-DQB1*06  Mexico Nayarit, Tepic 0.515597
 11  A*02:01-B*15:01-C*03:03-DRB1*13:01:01-DQB1*06:03:01  England North West 0.5000298
 12  A*02-B*15:01-DRB1*13-DQB1*06  Mexico Baja Californa, Mexicali 0.5000100
 13  A*02-B*15:01-DRB1*13-DQB1*06  Mexico Sinaloa, Culiacán 0.4854103
 14  A*24:02-B*15:01-C*03:03-E*01:01:01-F*01:01:01-G*01:04-DRB1*13:02:01-DQA1*01:02-DQB1*06:09  Portugal Azores Terceira Island 0.4386130
 15  A*24:02-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.43461,075
 16  A*02:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.42171,510
 17  A*01:01:01-B*15:01:01-C*03:03:01-DRB1*13:02:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 18  A*24:02:01-B*15:01:01-C*03:03:01-DRB1*13:01:01-DQA1*05:05:01-DQB1*06:03-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 19  A*02-B*15:01-DRB1*13-DQB1*06  Mexico Zacatecas Rural 0.3717266
 20  A*24-B*15:01-DRB1*13-DQB1*06  Mexico Tabasco Rural 0.3521142
 21  A*01:03:01-B*15:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:02:01-DPB1*11:01:01  South African Black 0.3520142
 22  A*11:01:01-B*15:01:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01-DPB1*02:01:02  South African Black 0.3520142
 23  A*24-B*15:01-DRB1*13-DQB1*06  Mexico Michoacan, Morelia 0.3311150
 24  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*02:01:01-DPB1*14:01  Russia Belgorod region 0.3268153
 25  A*29-B*15:01-DRB1*13-DQB1*06  Mexico Durango, Durango city 0.3226153
 26  A*24:02-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.31301,159
 27  A*24:02-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03  USA NMDP Alaska Native or Aleut 0.31161,376
 28  A*11:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.31021,510
 29  A*02-B*15:01-DRB1*13-DQB1*06  Mexico Oaxaca Rural 0.3080485
 30  A*02:05-B*15:01-C*08:04-DRB1*13:01-DQA1*01:02-DQB1*06:03-DPB1*02:01  South Africa Worcester 0.3000159
 31  A*03:01-B*15:01-C*03:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:02  South Africa Worcester 0.3000159
 32  A*24:02-B*15:01-C*03:03-DRB1*13:01:01-DQB1*06:03:01  England North West 0.3000298
 33  A*02:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03  USA NMDP American Indian South or Central America 0.29775,926
 34  A*02:01:01:01-B*15:01:01:01-C*03:04:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2824192
 35  A*02:01:01:01-B*15:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 36  A*11:01-B*15:01-C*03:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*20:01  USA San Diego 0.2600496
 37  A*24:02-B*15:01-C*03:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  USA San Diego 0.2600496
 38  A*24:02-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.23904,335
 39  A*30:01:01-B*15:01:01:01-C*03:04:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2384192
 40  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 41  A*11:01:01-B*15:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 42  A*24:02:01-B*15:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 43  A*02:01:01-B*15:01:01-C*04:01:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 44  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 45  A*02:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.22581,075
 46  A*02:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.22541,075
 47  A*02:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.22483,456,066
 48  A*24:02:01-B*15:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.217823,595
 49  A*01:01-B*15:01-C*03:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:01  Nicaragua Managua 0.2165339
 50  A*02:01-B*15:01-C*03:04-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*01:01  Nicaragua Managua 0.2165339
 51  A*03-B*15:01-DRB1*13-DQB1*06  Mexico Zacatecas Rural 0.1859266
 52  A*24-B*15:01-DRB1*13-DQB1*06  Mexico Zacatecas Rural 0.1859266
 53  A*24:02:01:01-B*15:01:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.18541,510
 54  A*33:01-B*15:01-C*03:03-DRB1*13:02-DQB1*06:05  Malaysia Peninsular Indian 0.1845271
 55  A*25:01:01-B*15:01:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.15421,510
 56  A*26-B*15:01-DRB1*13-DQB1*06  Mexico Durango Rural 0.1529326
 57  A*26:01-B*15:01-DRB1*13:01-DQB1*06:01  Mexico Mexico City Tlalpan 0.1515330
 58  A*31:01-B*15:01-DRB1*13:01-DQB1*06:03  Mexico Mexico City Tlalpan 0.1515330
 59  A*32:01-B*15:01-DRB1*13:01-DQB1*06:03  Mexico Mexico City Tlalpan 0.1515330
 60  A*36-B*15:01-DRB1*13:01-DQB1*06:03  Mexico Mexico City Tlalpan 0.1515330
 61  A*02:01-B*15:01-C*04:01-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 62  A*02:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.13001,159
 63  A*02:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*19:01  Germany DKMS - German donors 0.12793,456,066
 64  A*29-B*15:01-DRB1*13-DQB1*06  Mexico Coahuila, Torreon 0.1250396
 65  A*02-B*15:01-DRB1*13-DQB1*06  Ecuador Andes Mixed Ancestry 0.1214824
 66  A*02:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.10663,456,066
 67  A*24:02-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.10453,456,066
 68  A*25:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 69  A*02:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*03:01  Russia Karelia 0.10031,075
 70  A*68:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.09751,075
 71  A*30:02:01-B*15:01:01-C*03:04:01-DRB1*13:02:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.0959221
 72  A*03:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.09401,999
 73  A*32:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.09401,999
 74  A*02-B*15:01-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.08531,173
 75  A*02-B*15:01-DRB1*13-DQB1*06  Mexico Jalisco Rural 0.0853585
 76  A*24-B*15:01-DRB1*13-DQB1*06  Mexico Jalisco Rural 0.0853585
 77  A*03:01:01-B*15:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.083323,595
 78  A*31:01:02:01-B*15:01:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.07901,510
 79  A*01:01:01-B*15:01:01-C*03:03:01-DRB1*13:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.0730221
 80  A*01:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.07161,510
 81  A*01:01-B*15:01-C*07:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 82  A*02:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.06841,463
 83  A*23:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.06841,463
 84  A*24:02-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.06804,856
 85  A*03-B*15:01-DRB1*13-DQB1*06  Mexico Mexico City North 0.0664751
 86  A*01:01:01:01-B*15:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 87  A*11:01:01-B*15:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.064623,595
 88  A*26-B*15:01-DRB1*13-DQB1*06  Ecuador Andes Mixed Ancestry 0.0607824
 89  A*69-B*15:01-DRB1*13-DQB1*06  Ecuador Andes Mixed Ancestry 0.0607824
 90  A*25-B*15:01-DRB1*13-DQB1*06  Mexico Tlaxcala Rural 0.0602830
 91  A*03:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.05833,456,066
 92  A*02:01-B*15:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.05741,075
 93  A*03:01-B*15:01-C*03:04-DRB1*13:01-DQB1*06:03-DPB1*04:02  Russia Karelia 0.05651,075
 94  A*25:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.05641,075
 95  A*31:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*04:02  Russia Karelia 0.05641,075
 96  A*24:02-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*19:01  Russia Karelia 0.05641,075
 97  A*30:01-B*15:01-C*03:04-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.05641,075
 98  A*24:02:01-B*15:01:01-C*03:03:01-DRB1*13:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.0560221
 99  A*02:01-B*15:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*23:01  Russia Karelia 0.05601,075
 100  A*68:01-B*15:01-C*03:04-DRB1*13:01-DQB1*06:03-DPB1*04:02  Russia Karelia 0.05571,075

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 264) records   Pages: 1 2 3 of 3  


   

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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