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 160) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24-B*35:01-DRB1*04:07-DQA1*03-DQB1*03:02  Colombia Jaidukama 11.500039
 2  A*68:01-B*35:01-DRB1*04:07  Mexico Oaxaca Mixtec 6.0000103
 3  A*68:01:02-B*35:01:01-C*04:01:01-DRB1*04:07  Costa Rica Amerindians (G) 4.9567125
 4  A*31:01:02-B*35:01-DRB1*04:07-DQB1*03:02  USA South Dakota Lakota Sioux 4.1000302
 5  A*24:02-B*35:01-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 2.976284
 6  A*02:01-B*35:01-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 2.381084
 7  A*31:01-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 2.238867
 8  A*24:02-B*35:01-DRB1*04:07-DQB1*03:02  USA South Dakota Lakota Sioux 2.2000302
 9  A*24:02-B*35:01-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 2.127747
 10  A*02:06-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 1.492567
 11  A*68:03-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 1.492567
 12  A*31:01:02-B*35:01-DRB1*04:07-DQB1*03:02  Peru Titikaka Lake Uros 1.4300105
 13  A*02:06-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 1.3761218
 14  A*02:01-B*35:01-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 15  A*02:01-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 16  A*02:06-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 17  A*24:02-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 18  A*31:01-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 19  A*68:01-B*35:01-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:03  Mexico Chichen Itza Maya (prehispanic) 1.063847
 20  A*68:01-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 21  A*68:03-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 22  A*68:03-B*35:01-C*07:02-DRB1*04:07-DQA1*05:03-DQB1*03:04  Mexico Chichen Itza Maya (prehispanic) 1.063847
 23  A*02:01-B*35:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 1.0606330
 24  A*68:03:01-B*35:01:01-C*07:02:01-DRB1*04:07  Nicaragua Mestizo (G) 0.9677155
 25  A*24:02-B*35:01-C*01:02-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 26  A*68:03-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.9174218
 27  A*68:01-B*35:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.9091330
 28  A*24:02-B*35:01-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 29  A*68:01-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 30  B*35:01-C*03:04-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo population 0.6993143
 31  B*35:01-C*04:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo population 0.6993143
 32  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 33  A*11:01:01-B*35:01:01-C*07:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 34  A*31:01:02-B*35:01:01-C*15:02:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 35  A*68:01:01-B*35:01:01-C*04:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 36  A*68:03-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Mexico Chiapas Lacandon Mayans 0.6881218
 37  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:07  Nicaragua Mestizo (G) 0.6452155
 38  B*35:01-C*03:05-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.6400234
 39  A*24:02-B*35:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.6061330
 40  A*02:02-B*35:01-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 41  A*31:01-B*35:01-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 42  A*68:01-B*35:01-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 43  A*24:02-B*35:01-C*04:01-DRB1*04:07-DQB1*03:02-DPB1*14:01  Panama 0.5700462
 44  A*02:01-B*35:01-DRB1*04:07-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 45  A*24:02-B*35:01-DRB1*04:07-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 46  A*11:01-B*35:01-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:01-DPB1*03:01  USA San Diego 0.5210496
 47  A*02:01-B*35:01-DRB1*04:07-DQB1*03:02  Peru Titikaka Lake Uros 0.4800105
 48  A*24:02:01-B*35:01:01-C*15:09-DRB1*04:07  Costa Rica Guanacaste Mestizo (G) 0.4545110
 49  A*31:01-B*35:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.4545330
 50  A*02:01-B*35:01-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.4329339
 51  A*68:01-B*35:01-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.4329339
 52  A*31:01-B*35:01-C*03:05-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.4274234
 53  A*68:01:02-B*35:01:01-C*03:04:01-DRB1*04:07  Costa Rica Amerindians (G) 0.4131125
 54  A*24:02:01-B*35:01:01-C*03:04:01-DRB1*04:07  Costa Rica Amerindians (G) 0.4102125
 55  A*31:01:02-B*35:01:01-C*04:01:01-DRB1*04:07  Costa Rica Amerindians (G) 0.4032125
 56  A*11:01-B*35:01-C*04:01-DRB1*04:07  Germany DKMS - United Kingdom minority 0.38401,043
 57  A*02:01-B*35:01-C*04:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 58  A*02:06-B*35:01-C*03:04-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 59  A*31:01-B*35:01-C*03:04-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 60  A*31:01-B*35:01-C*04:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 61  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:07  Nicaragua Mestizo (G) 0.3226155
 62  A*24:02:01-B*35:01:01-C*06:02:01-DRB1*04:07  Nicaragua Mestizo (G) 0.3226155
 63  A*31:01:02-B*35:01:01-C*04:01:01-DRB1*04:07  Nicaragua Mestizo (G) 0.3226155
 64  A*68:05-B*35:01:01-C*03:04:01-DRB1*04:07  Nicaragua Mestizo (G) 0.3226155
 65  A*02:01-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 66  A*02:06-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*05:01  Mexico Chiapas Lacandon Mayans 0.2294218
 67  A*24:02-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:04-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 68  A*31:01-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 69  A*68:01-B*35:01-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*03:01  Mexico Chiapas Lacandon Mayans 0.2294218
 70  A*68:01-B*35:01-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 71  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:07-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 72  A*68:03:01-B*35:01:01-C*07:02:01-DRB1*04:07-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.2262221
 73  A*31:01-B*35:01-C*08:01-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*14:01  Nicaragua Managua 0.2165339
 74  A*68:03-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:01-DPB1*03:01  Nicaragua Managua 0.2165339
 75  A*11:01-B*35:01-C*04:01-DRB1*04:07:01-DQB1*03:01  England North West 0.2000298
 76  A*31:01-B*35:01-C*04:01-DRB1*04:07-DQB1*03:02  USA NMDP American Indian South or Central America 0.19035,926
 77  A*33:01-B*35:01-C*04:01-DRB1*04:07-DQB1*03:02-DPB1*04:02  Panama 0.1900462
 78  A*24:02-B*35:01-C*04:01-DRB1*04:07-DQB1*03:02  USA NMDP Black South or Central American 0.17734,889
 79  A*11:01-B*35:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 80  A*31:03-B*35:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 81  A*68:03-B*35:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 82  A*11:01-B*35:01-C*04:01-DRB1*04:07  Germany DKMS - Netherlands minority 0.14501,374
 83  A*68:03-B*35:01-C*07:02-DRB1*04:07-DQB1*03:02  USA Hispanic pop 2 0.14001,999
 84  A*02:01-B*35:01-C*04:01-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.12371,463
 85  A*02:01-B*35:01-C*04:01-DRB1*04:07-DQB1*03:02  USA NMDP Black South or Central American 0.11634,889
 86  A*24:02-B*35:01-C*03:04-DRB1*04:07-DQB1*03:02  USA Hispanic pop 2 0.09401,999
 87  A*26:01-B*35:01-DRB1*04:07  Israel USA Jews 0.07346,058
 88  A*01:01-B*35:01-C*04:01-DRB1*04:07  Germany DKMS - Netherlands minority 0.07301,374
 89  A*11:01-B*35:01-C*04:01-DRB1*04:07-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.07263,456,066
 90  A*02:01-B*35:01-C*03:03-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.07003,078
 91  A*26:01-B*35:01-DRB1*04:07  Israel USSR Jews 0.062045,681
 92  A*24:02-B*35:01-C*04:01-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.05251,463
 93  A*11:01-B*35:01-C*04:01-DRB1*04:07  Poland DKMS 0.051120,653
 94  A*03:01-B*35:01-C*04:01-DRB1*04:07  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 95  A*33:01-B*35:01-C*03:03-DRB1*04:07  Germany DKMS - United Kingdom minority 0.04801,043
 96  A*02:01-B*35:01-C*16:01-DRB1*04:07-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 97  A*24:02-B*35:01-C*03:05-DRB1*04:07-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 98  A*31:02-B*35:01-C*04:01-DRB1*04:07-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 99  A*68:01-B*35:01-C*03:05-DRB1*04:07-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 100  A*03:02-B*35:01-C*04:01-DRB1*04:07  Germany DKMS - Spain minority 0.04501,107

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 160) records   Pages: 1 2 of 2  


   

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