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 82 (from 82) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*30-B*38-DRB1*01-DQB1*05  Mexico Morelos Rural 1.666730
 2  A*30-B*38-DRB1*01-DQB1*05  Mexico Jalisco, Tonala 1.428635
 3  A*26-B*38-DRB1*01-DQB1*05  Mexico Campeche Rural 1.063847
 4  A*26-B*38-DRB1*01-DQB1*05  Mexico Nayarit, Tepic 1.030997
 5  A*03:01-B*38:01-DRB1*01:01-DQB1*05:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 6  A*26-B*38-DRB1*01-DQB1*05  Mexico Coahuila Rural 0.4587216
 7  A*11:01-B*38:01-C*04:01-E*01:01:01-F*01:01:02-G*01:01-DRB1*01:01-DQA1*04:01-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 8  A*30:02-B*38:01-C*08:02-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
 9  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Bashkirs 0.4167120
 10  A*02-B*38-DRB1*01-DQB1*05  Mexico Tabasco Rural 0.3521142
 11  A*26-B*38-DRB1*01-DQB1*05  Mexico Sonora, Ciudad Obregón 0.3497143
 12  A*30-B*38-DRB1*01-DQB1*05  Mexico Sonora, Ciudad Obregón 0.3497143
 13  A*26-B*38-DRB1*01-DQB1*05  Mexico Jalisco Rural 0.3413585
 14  A*03-B*38-DRB1*01-DQB1*05  Mexico Guanajuato Rural 0.3067162
 15  A*03-B*38-DRB1*01-DQB1*05  Mexico Jalisco, Zapopan 0.2976168
 16  A*26-B*38-DRB1*01-DQB1*05  Mexico Veracruz, Xalapa 0.2674187
 17  A*30-B*38-DRB1*01-DQB1*05  Mexico Sonora Rural 0.2538197
 18  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 19  A*26:08-B*38:01:01-C*07:02:01-DRB1*01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 20  A*26-B*38-DRB1*01-DQB1*05  Mexico Chihuahua Rural 0.2092236
 21  A*02-B*38-DRB1*01-DQB1*05  Mexico Oaxaca Rural 0.2053485
 22  A*11-B*38-DRB1*01-DQB1*05  Mexico Oaxaca Rural 0.2053485
 23  A*30-B*38-C*12-DRB1*01-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.19701,743
 24  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*35:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 25  A*26-B*38-DRB1*01-DQB1*05  Mexico Zacatecas Rural 0.1859266
 26  A*26:01-B*38:01-DRB1*01:01-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 27  A*30:01-B*38:01-DRB1*01:01-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 28  A*02:17-B*38:01-C*12:03-DRB1*01:01-DQB1*05:01  Italy pop 5 0.1400975
 29  A*26:01-B*38:01-C*12:03-DRB1*01:01-DQB1*05:01  Italy pop 5 0.1400975
 30  A*26:01-B*38:01-C*12:03-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.14001,999
 31  A*02-B*38-C*12-DRB1*01-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.12801,743
 32  A*03-B*38-DRB1*01-DQB1*05  Mexico Tlaxcala Rural 0.1205830
 33  A*26:01-B*38:01-C*12:03-DRB1*01:01-DQB1*05:01-DPB1*02:01  Russia Karelia 0.11321,075
 34  A*03:01-B*38:01-C*12:03-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.10251,463
 35  A*26-B*38-DRB1*01-DQB1*05  Mexico Veracruz Rural 0.0924539
 36  A*26-B*38-DRB1*01-DQB1*05  Mexico Jalisco, Guadalajara city 0.08381,189
 37  A*01-B*38-DRB1*01:02-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 38  A*24:03-B*38:01-C*12:03-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.06841,463
 39  A*03-B*38-DRB1*01-DQB1*05  Ecuador Andes Mixed Ancestry 0.0607824
 40  A*26-B*38-DRB1*01-DQB1*05  Ecuador Andes Mixed Ancestry 0.0607824
 41  A*03-B*38-DRB1*01-DQB1*05  Mexico Puebla Rural 0.0600833
 42  A*68-B*38-DRB1*01-DQB1*05  Mexico Puebla Rural 0.0600833
 43  A*30-B*38-DRB1*01-DQB1*05  Mexico Puebla, Puebla city 0.05011,994
 44  A*02:01-B*38:01-C*12:03-DRB1*01:03-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 45  A*30:01-B*38:01-C*12:03-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 46  A*26:01-B*38:01-C*12:03-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.04301,159
 47  A*03-B*38-DRB1*01-DQB1*05  Ecuador Mixed Ancestry 0.04261,173
 48  A*26-B*38-DRB1*01-DQB1*05  Ecuador Mixed Ancestry 0.04261,173
 49  A*33-B*38-DRB1*01-DQB1*05  Mexico Jalisco, Guadalajara city 0.04191,189
 50  A*24-B*38-C*12-DRB1*01-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03761,743
 51  A*01:01-B*38:01-C*12:03-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 52  A*03:01-B*38:01-C*12:03-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 53  A*26:01-B*38:01-C*12:03-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 54  A*29:10-B*38:01-C*12:03-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 55  A*30:02-B*38:01-C*12:03-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 56  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.033223,595
 57  A*02:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 58  A*03:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*01:01:01-DQB1*05:04  Russia Nizhny Novgorod, Russians 0.03311,510
 59  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 60  A*11:02:01-B*38:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 61  A*24:02:01-B*38:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 62  A*01:01-B*38:01-C*12:03-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.02804,856
 63  A*24:07-B*38:02-C*07:02-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 64  A*33:03-B*38:01-C*16:02-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 65  A*24:03-B*38:01-C*12:03-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.02004,856
 66  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.016923,595
 67  A*24:02:01-B*38:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.014123,595
 68  A*26:01-B*38:01-C*12:03-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01304,856
 69  A*26:01-B*38:01-C*12:03-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.01033,456,066
 70  A*11:01-B*38:02-C*07:02-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.01002,492
 71  A*01-B*38-C*12-DRB1*01-DQB1*05-DPB1*02  Norway ethnic Norwegians 0.01004,510
 72  A*11-B*38-C*12-DRB1*01-DQB1*05-DPB1*13  Norway ethnic Norwegians 0.01004,510
 73  A*25:01-B*38:01-C*12:03-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 74  A*29-B*38-C*12-DRB1*01-DQB1*05-DPB1*06  Norway ethnic Norwegians 0.01004,510
 75  A*01:01-B*38:02-C*07:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.008711,446
 76  A*02:03-B*38:02-C*07:02-DRB1*01:01-DQB1*05:01  India West UCBB 0.00865,829
 77  A*33:03-B*38:01-C*12:03-DRB1*01:01-DQB1*05:01  India North UCBB 0.00855,849
 78  A*25:01:01-B*38:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.008123,595
 79  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.003223,595
 80  A*11:01:01-B*38:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002323,595
 81  A*23:01:01-B*38:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 82  A*68:01:02-B*38:01:01-C*07:04:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595

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).




   

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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