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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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 325) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*38-DRB1*13-DQB1*06  Mexico Jalisco, Tlajomulco 3.333330
 2  A*24-B*38-C*12-DRB1*13-DQB1*06  Spain Majorcans Jews 2.6000103
 3  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Puyanawa 2.3333150
 4  A*24:03-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Colombia North Chimila Amerindians 2.127747
 5  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Colombia North Wiwa El Encanto 1.923152
 6  A*26-B*38-DRB1*13-DQB1*06  Mexico Mexico City South 1.923152
 7  A*26-B*38-DRB1*13:01-DRB3*02:02-DQA1*01:03-DQB1*06:03  Spain Murcia 1.9000173
 8  A*26-B*38-DRB1*13-DQA1*01:03-DQB1*06:03  Georgia Svaneti Region Svan 1.900080
 9  A*26:01-B*38:01-DRB1*13:01-DQB1*06:02  Iran Yazd 1.785756
 10  A*26:01-B*38:01-C*12:03-E*01:03:01-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 1.7544130
 11  A*26-B*38-C*12-DRB1*13-DQB1*06  Spain Majorcans Jews 1.7000103
 12  A*26-B*38-C*12-DRB1*13-DQB1*06  Spain Minorca 1.600094
 13  A*02-B*38-DRB1*13-DQB1*06  Mexico Jalisco, Tlaquepaque 1.282139
 14  A*26-B*38-C*12-DRB1*13-DQB1*06  Albanian Kosovo 1.2500120
 15  A*03-B*38-DRB1*13-DQB1*06  Mexico Hidalgo, Pachuca 1.219541
 16  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03  Kosovo 1.2100124
 17  A*26-B*38-DRB1*13:02-DQB1*06:04  Spain North Cantabria 1.200083
 18  A*26-B*38-DRB1*13-DQB1*06:02  Cuba Mixed 1.200078
 19  A*11-B*38-C*12:03-DRB1*13-DQB1*06  Russia North Ossetian 1.1800127
 20  A*02-B*38-DRB1*13-DQB1*06  Mexico Queretaro, Queretaro city 1.111145
 21  A*11-B*38-DRB1*13-DQB1*06  Mexico Aguascalientes state 1.052695
 22  A*68-B*38-DRB1*13-DQB1*06  Mexico Quintana Roo, Cancun 1.041748
 23  A*02-B*38-DRB1*13-DQB1*06  Mexico Sinaloa, Culiacán 0.9709103
 24  A*26-B*38-DRB1*13-DQB1*06  Mexico Sinaloa, Culiacán 0.9709103
 25  A*02-B*38-DRB1*13-DQB1*06  Mexico Mexico City South 0.961552
 26  A*02-B*38-DRB1*13-DQB1*06  Mexico Chihuahua, Ciudad Juarez 0.9259106
 27  A*29-B*38-DRB1*13-DQB1*06  Mexico Veracruz, Cordoba 0.892956
 28  A*26:01-B*38:01-DRB1*13:01-DQB1*06:02  Iran Saqqez-Baneh Kurds 0.833360
 29  A*26-B*38-DRB1*13-DQB1*06  Mexico Tamaulipas Rural 0.7937125
 30  A*26-B*38-DRB1*13-DQB1*06  Mexico Sonora Rural 0.7614197
 31  A*03-B*38-DRB1*13:01-DQB1*06:07  Bolivia Quechua 0.720069
 32  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.7000215
 33  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.68404,335
 34  A*24-B*38-DRB1*13-DQB1*06  Mexico Baja California, La Paz 0.666775
 35  A*26-B*38-DRB1*13-DQB1*06  Mexico Baja California, La Paz 0.666775
 36  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*02:01:01-DPB1*02:01  Russia Belgorod region 0.6536153
 37  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.642323,595
 38  A*03-B*38-DRB1*13-DQB1*06  Mexico Mexico City East 0.625079
 39  A*03-B*38-DRB1*13-DQB1*06  Mexico Hidalgo Rural 0.617381
 40  A*26-B*38-DRB1*13-DQB1*06  Mexico Jalisco, Zapopan 0.5952168
 41  A*26-B*38-DRB1*13-DQB1*06  Mexico Zacatecas, Zacatecas city 0.595284
 42  A*29-B*38-DRB1*13-DQB1*06  Mexico Zacatecas, Zacatecas city 0.595284
 43  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Italy pop 5 0.5900975
 44  A*02-B*38-DRB1*13-DQB1*06  Mexico Nayarit, Tepic 0.515597
 45  A*33:01-B*38:01-DRB1*13:01-DQB1*06:02  Iran Tabriz Azeris 0.515597
 46  A*02-B*38-C*06-DRB1*13-DQB1*06  Sudan Khartoum 0.510098
 47  A*24-B*38-C*06-DRB1*13-DQB1*06  Sudan Khartoum 0.510098
 48  A*02-B*38-DRB1*13-DQB1*06  Mexico Sonora Rural 0.5076197
 49  A*02-B*38-DRB1*13-DQB1*06  Mexico Sonora, Hermosillo 0.505199
 50  A*03-B*38-DRB1*13-DQB1*06  Mexico Baja Californa, Mexicali 0.5000100
 51  A*26:01:01-B*38:02:01-C*07:02:01-DRB1*13:02:01-DQB1*06:09:01  Vietnam Kinh 0.4950101
 52  A*26:01-B*38:01-DRB1*13:01-DQB1*06:03  Peru Titikaka Lake Uros 0.4800105
 53  A*26:01-B*38:06-C*12:03-E*01:03:02-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 54  A*26:02-B*38:06-C*04:01-E*01:03:02-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 55  A*02-B*38-DRB1*13-DQB1*06  Mexico Michoacan Rural 0.4298348
 56  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.424423,595
 57  A*26-B*38-DRB1*13-DQB1*06  Mexico Chihuahua Rural 0.4184236
 58  A*02:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:02:01-DQB1*06:04  Russia Bashkortostan, Bashkirs 0.4167120
 59  A*02-B*38-DRB1*13-DQB1*06  Mexico Chiapas Rural 0.4132121
 60  A*02:01-B*38:01-C*12:03-DRB1*13:02-DQA1*01:02-DQB1*06:04  Kosovo 0.4030124
 61  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.39804,856
 62  A*01-B*38-DRB1*13-DQB1*06  Guatemala, Guatemala City Mixed Ancestry 0.3900127
 63  A*26-B*38-C*03:03-DRB1*13-DQB1*06  Russia North Ossetian 0.3900127
 64  A*26-B*38-DRB1*13-DQB1*06  Guatemala, Guatemala City Mixed Ancestry 0.3900127
 65  A*26-B*38-DRB1*13-DQB1*06  Mexico Zacatecas Rural 0.3717266
 66  A*24-B*38-C*12-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.37091,743
 67  A*02-B*38-C*12-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.36511,743
 68  A*02-B*38-DRB1*13-DQB1*06  Mexico Tabasco Rural 0.3521142
 69  A*03-B*38-DRB1*13-DQB1*06  Mexico Sonora, Ciudad Obregón 0.3497143
 70  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.34501,159
 71  A*03-B*38-C*12-DRB1*13-DQB1*06  Albania pop 2 0.3400432
 72  A*26-B*38-C*07-DRB1*13-DQB1*06  Albania pop 2 0.3400432
 73  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.33504,856
 74  A*02:01-B*38:01-C*12:02-DRB1*13:02-DQA1*01:03-DQB1*06:03  Brazil Puyanawa 0.3333150
 75  A*02:01-B*38:01-C*12:03-DRB1*13:02-DQA1*01:03-DQB1*06:03  Brazil Puyanawa 0.3333150
 76  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*03:01  Russia Karelia 0.32801,075
 77  A*01:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*02:02:02-DPB1*05:01  Russia Belgorod region 0.3268153
 78  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:02:01-DQB1*06:03-DPA1*01:03:01-DPB1*03:01:01  Russia Belgorod region 0.3268153
 79  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*03:01:01  Russia Belgorod region 0.3268153
 80  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*10:01  Russia Belgorod region 0.3268153
 81  A*23:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 82  A*24:02:01-B*38:01:01-C*07:02:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:02-DPA1*01:03:01-DPB1*02:01  Russia Belgorod region 0.3268153
 83  A*32:01:01-B*38:01:01-C*02:02:02-DRB1*13:01:01-DQA1*05:05:01-DQB1*06:03-DPA1*01:03:01-DPB1*05:01  Russia Belgorod region 0.3268153
 84  A*02-B*38-DRB1*13-DQB1*06  Mexico Mexico City Center 0.3247152
 85  A*02-B*38-DRB1*13-DQB1*06  Mexico Durango, Durango city 0.3226153
 86  A*26-B*38-DRB1*13-DQB1*06  Mexico Durango, Durango city 0.3226153
 87  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 88  A*26:01:01-B*38:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 89  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 90  A*26-B*38-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.3120641
 91  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.30031,463
 92  A*24-B*38-DRB1*13-DQB1*06  Mexico Jalisco, Zapopan 0.2976168
 93  A*26-B*38-C*12-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.28661,743
 94  A*24-B*38-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.2838641
 95  A*24:02-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.26291,463
 96  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 97  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  USA NMDP Caribean Indian 0.258914,339
 98  A*11-B*38-DRB1*13-DQB1*06  Mexico Sonora Rural 0.2538197
 99  A*03-B*38-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.2340641
 100  A*02:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.23051,510

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 325) records   Pages: 1 2 3 4 of 4  


   

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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