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 216) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*40:02-DRB1*11-DQB1*03:01  Mexico Hidalgo, Pachuca 2.439041
 2  A*24-B*40:02-DRB1*11-DQB1*03:01  Mexico Nuevo Leon, Monterrey city 1.9912226
 3  A*24-B*40:02-DRB1*11-DQB1*03:01  Mexico Veracruz, Orizaba 1.666760
 4  A*31-B*40:02-DRB1*11-DQB1*03:01  Mexico Colima Rural 1.136443
 5  A*24:02-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  Poland 1.0000200
 6  A*24-B*40:02-DRB1*11-DQB1*03:01  Mexico Baja California Rural 1.000050
 7  A*02-B*40:02-DRB1*11-DQB1*03:01  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 8  A*02-B*40:02-DRB1*11-DQB1*03:01  Mexico Coahuila Rural 0.9174216
 9  A*68-B*40:02-DRB1*11-DQB1*03:01  Mexico Yucatan Rural 0.7463132
 10  A*24:02:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.7000215
 11  A*02:01-B*40:02-C*02:02-DRB1*11:01-DQA1*05:10-DQB1*03:01  Brazil Puyanawa 0.6667150
 12  A*31-B*40:02-DRB1*11-DQB1*03:01  Mexico Mexico City East 0.625079
 13  A*33-B*40:02-DRB1*11-DQB1*03:01  Mexico Morelos, Cuernavaca 0.609882
 14  A*03:01-B*40:02-DRB1*11:01-DQB1*03:01  Mexico Veracruz Xalapa 0.595284
 15  A*68-B*40:02-DRB1*11-DQB1*03:01  Mexico Zacatecas, Zacatecas city 0.595284
 16  A*02:01-B*40:02-DRB1*11:04-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 17  A*31:01-B*40:02-DRB1*11:01-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 18  A*02-B*40:02-DRB1*11-DQB1*03:01  Mexico Sinaloa, Culiacán 0.4854103
 19  A*02-B*40:02-DRB1*11-DQB1*03:01  Mexico Tamaulipas Rural 0.3968125
 20  A*02:01-B*40:02-C*02:02-DRB1*11:01-DQA1*05:05-DQB1*03:01  Brazil Puyanawa 0.3333150
 21  A*24-B*40:02-DRB1*11-DQB1*03:01  Mexico Michoacan, Morelia 0.3311150
 22  A*02:06:01-B*40:02:01-C*03:04:01-DRB1*11:01:01-DQA1*03:02-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 23  A*26:01:01-B*40:02:01-C*12:03:01-DRB1*11:01:01-DQA1*01:03:01-DQB1*03:01-DPA1*02:02:02-DPB1*06:01  Russia Belgorod region 0.3268153
 24  A*68:01:02-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQA1*03:02-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 25  A*02-B*40:02-DRB1*11-DQB1*03:01  Mexico Mexico City Center 0.3247152
 26  A*02-B*40:02-DRB1*11-DQB1*03:01  Mexico Durango, Durango city 0.3226153
 27  A*68-B*40:02-DRB1*11-DQB1*03:01  Mexico Durango, Durango city 0.3226153
 28  A*24-B*40:02-DRB1*11-DQB1*03:01  Mexico Michoacan Rural 0.2865348
 29  A*02-B*40:02-DRB1*11-DQB1*03:01  Mexico Sinaloa Rural 0.2732183
 30  A*24:02-B*40:02-C*02:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*03:01  USA San Diego 0.2600496
 31  A*68:01-B*40:02-C*03:04-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.2600496
 32  A*24:02:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.25841,510
 33  A*11:01-B*40:02-C*15:02-DRB1*11:06-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 34  A*24-B*40:02-DRB1*11-DQB1*03:01  Mexico Sonora Rural 0.2538197
 35  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.23181,510
 36  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 37  A*02-B*40:02-DRB1*11-DQB1*03:01  Mexico Nuevo Leon, Monterrey city 0.2212226
 38  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.211323,595
 39  A*24:02:01-B*40:02:01-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.20181,734
 40  A*24:03-B*40:02-C*02:02:02-DRB1*11:01-DQB1*03:01  England North West 0.2000298
 41  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 42  A*03:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 43  A*24:02:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.192423,595
 44  A*34:01-B*40:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*04:01  Panama 0.1900462
 45  A*24-B*40:02-DRB1*11-DQB1*03:01  Mexico Zacatecas Rural 0.1859266
 46  A*02:11-B*40:02-C*14:02-DRB1*11:08-DQB1*03:01  Malaysia Peninsular Indian 0.1845271
 47  A*24:02:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.16561,510
 48  A*24-B*40:02-DRB1*11-DQB1*03:01  Mexico Durango Rural 0.1529326
 49  A*32-B*40:02-DRB1*11-DQB1*03:01  Mexico Durango Rural 0.1529326
 50  A*68:01-B*40:02-DRB1*11:04-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 51  A*80:01-B*40:02-C*04:01-DRB1*11:01-DQB1*03:01  USA NMDP Caribean Indian 0.149114,339
 52  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.146823,595
 53  A*02:01:01-B*40:02:01-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.13491,734
 54  A*01-B*40:02-DRB1*11-DQB1*03:01  Mexico Coahuila, Torreon 0.1250396
 55  A*02-B*40:02-DRB1*11-DQB1*03:01  Mexico Coahuila, Torreon 0.1250396
 56  A*11:01:01-B*40:02:01-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.12461,734
 57  A*02-B*40:02-DRB1*11-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.1214824
 58  A*11-B*40:02-DRB1*11-DQB1*03:01  Mexico Puebla Rural 0.1199833
 59  A*32:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:02  Russia Karelia 0.11661,075
 60  A*24:02-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*02:01  Russia Karelia 0.11441,075
 61  A*01-B*40:02-DRB1*11-DQB1*03:01  Mexico Nuevo Leon Rural 0.1136439
 62  A*02-B*40:02-DRB1*11-DQB1*03:01  Mexico Nuevo Leon Rural 0.1136439
 63  A*32:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.10931,075
 64  A*24:02-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:02  Russia Karelia 0.10681,075
 65  A*32:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 66  A*68-B*40:02-DRB1*11-DQB1*03:01  Mexico Oaxaca Rural 0.1027485
 67  A*02:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.10004,856
 68  A*11:01:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.09861,510
 69  A*31:01-B*40:02-C*03:04-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.08901,772
 70  A*68:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:02  Russia Karelia 0.08671,075
 71  A*24:03-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.08601,159
 72  A*32:01-B*40:02-C*02:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.08601,159
 73  A*02-B*40:02-DRB1*11-DQB1*03:01  Ecuador Mixed Ancestry 0.08531,173
 74  A*02-B*40:02-DRB1*11-DQB1*03:01  Mexico Jalisco Rural 0.0853585
 75  A*68-B*40:02-DRB1*11-DQB1*03:01  Mexico Jalisco Rural 0.0853585
 76  A*24-B*40:02-DRB1*11-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.08381,189
 77  A*24-B*40:02-DRB1*11-DQB1*03:01  Mexico Puebla, Puebla city 0.07521,994
 78  A*24:02:01:01-B*40:02:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.07111,510
 79  A*02:01-B*40:02-C*03:04-DRB1*11:06-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.07003,078
 80  A*24:02-B*40:02-C*03:04-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 81  A*31:01-B*40:02-C*03:04-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 82  A*03:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.068423,595
 83  A*02:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 84  A*03:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 85  A*24:02-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 86  A*32:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.06773,456,066
 87  A*02:01:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06751,510
 88  A*02:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.06683,456,066
 89  A*02:01:01:01-B*40:02:01-C*02:02:02-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 90  A*24:02:01-B*40:02:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.06541,734
 91  A*24:02-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*09:01  Russia Karelia 0.06441,075
 92  A*32-B*40:02-DRB1*11-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.0607824
 93  A*02:01-B*40:02-C*03:04-DRB1*11:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.06061,075
 94  A*29-B*40:02-DRB1*11-DQB1*03:01  Mexico Tlaxcala Rural 0.0602830
 95  A*02-B*40:02-DRB1*11-DQB1*03:01  Mexico Puebla Rural 0.0600833
 96  A*24-B*40:02-DRB1*11-DQB1*03:01  Mexico Puebla Rural 0.0600833
 97  A*31-B*40:02-DRB1*11-DQB1*03:01  Mexico Puebla Rural 0.0600833
 98  A*24:02:01-B*40:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.05771,734
 99  A*24:02-B*40:02-C*05:01-DRB1*11:01-DQB1*03:01-DPB1*03:01  Russia Karelia 0.05651,075
 100  A*32:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.05493,456,066

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 216) 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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional