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 316) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*31:01-B*40:02-C*03:04-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 12.1560218
 2  A*31:01-B*40:08-C*03:04-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 2.985167
 3  A*31:01-B*40:02-C*03:04  Japan pop 5 2.7000117
 4  A*31:01-B*40:01-C*03:04  Zambia Lusaka 2.300044
 5  A*31:01-B*40:08-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 2.238867
 6  A*31:01-B*40:02-C*03:04-DRB1*04:11-DQA1*03:03-DQB1*04:02  Mexico Chichen Itza Maya (prehispanic) 2.127747
 7  A*31:01-B*40:01-C*03:04  USA Caucasian pop 2 1.5000265
 8  A*31:01:02-B*40:01:02-C*03:04:01  England Blood Donors of Mixed Ethnicity 1.2127519
 9  A*31:01-B*40:01-C*03:04  Ireland Northern 1.10001,000
 10  A*31:01:02-B*40:02:01-C*03:05-DRB1*04:07  Costa Rica Amerindians (G) 1.0753125
 11  A*31:01-B*40:02-C*03:04-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 12  A*31:01-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 13  A*31:01-B*40:02-C*03:05-DRB1*04:17-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 14  A*31:01:02-B*40:01-C*03:04  Ireland South 1.0000250
 15  A*31:01:02-B*40:02:01-C*03:05-DRB1*04:07  Nicaragua Mestizo (G) 0.9677155
 16  A*31:01:02-B*40:02:01-C*03:05-DRB1*04:07  Costa Rica Guanacaste Mestizo (G) 0.9091110
 17  A*31:01-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.8658339
 18  A*31:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02:01  England North West 0.8000298
 19  A*31:01-B*40:02-C*03:04-DRB1*04:11-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 20  A*31:01-B*40:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*04:02  Mexico Tixcacaltuyub Maya 0.746367
 21  A*31:01-B*40:02-C*03:04-DRB1*13:02-DQA1*01:02-DQB1*06:04  Mexico Tixcacaltuyub Maya 0.746367
 22  A*31:01:02-B*40:02:01-C*03:02:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 23  A*31:01:02-B*40:02:01-C*03:02:01-DRB1*14:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 24  A*31:01-B*40:02-C*03:04-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Mexico Chiapas Lacandon Mayans 0.6881218
 25  A*31:01:02-B*40:02:01-C*03:05-DRB1*04:07-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.6787221
 26  A*31:01-B*40:01-C*03:04-DRB1*04:04  Germany DKMS - Netherlands minority 0.64601,374
 27  A*31:01:02-B*40:02:01-C*03:05-DRB1*11:01  Costa Rica Amerindians (G) 0.5376125
 28  A*31:01-B*40:01-C*03:04-DRB1*04:04  Germany DKMS - United Kingdom minority 0.52301,043
 29  A*31:01:02-B*40:02:01-C*03:05-DRB1*14:06:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 30  A*31:01:02-B*40:08-C*03:04:01-DRB1*04:03:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 31  A*31:01-B*40:02-C*03:04-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.4274234
 32  A*31:01-B*40:02-C*03:05-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.4274234
 33  A*31:01-B*40:02-C*03:05-DRB1*16:02-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.4274234
 34  A*31:01-B*40:01-C*03:04-DRB1*04:04  Germany DKMS - France minority 0.42601,406
 35  A*31:01-B*40:01-C*03:04-DRB1*04:04  Germany DKMS - Austria minority 0.41201,698
 36  A*31:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  USA NMDP American Indian South or Central America 0.40605,926
 37  A*31:01-B*40:02-C*03:04-DRB1*04:03-DQB1*03:02-DPB1*04:02  Panama 0.3800462
 38  A*31:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.37604,335
 39  A*31:01-B*40:01-C*03:04-DRB1*13:01-DQB1*06:03  Mexico Mexico City Mestizo population 0.3497143
 40  A*31:01-B*40:02-C*03:04-DRB1*04:11-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 41  A*31:01-B*40:01-C*03:02-DRB1*04:04-DQA1*01:02-DQB1*06:02  Brazil Puyanawa 0.3333150
 42  A*31:01-B*40:02-C*03:04-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Puyanawa 0.3333150
 43  A*31:01:02-B*40:01:01-C*03:04:01-DRB1*04:03:01  Nicaragua Mestizo (G) 0.3226155
 44  A*31:01:02-B*40:01:01-C*03:04:01-DRB1*14:02  Nicaragua Mestizo (G) 0.3226155
 45  A*31:01:02-B*40:11:01-C*03:04:01-DRB1*04:10:01  Nicaragua Mestizo (G) 0.3226155
 46  A*31:01:02-B*40:02:01-C*03:04:01-DRB1*08:07-DQB1*03:01:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 47  A*31:01:02-B*40:02:01-C*03:05-DRB1*01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.3085221
 48  A*31:01:02:01-B*40:01:02-C*03:04:01:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.29541,510
 49  A*31:01:02-B*40:01:02-C*03:04:01-DRB1*10:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 50  A*31:01-B*40:02-C*03:04-DRB1*04:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 51  A*31:01-B*40:01-C*03:04-DRB1*04:04  Germany DKMS - Romania minority 0.24301,234
 52  A*31:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.23401,999
 53  A*31:01-B*40:02-C*03:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 54  A*31:01-B*40:02-C*03:04-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 55  A*31:01-B*40:02-C*03:04-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*105:01  Mexico Chiapas Lacandon Mayans 0.2294218
 56  A*31:01-B*40:02-C*03:04-DRB1*08:01-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 57  A*31:01-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 58  A*31:01-B*40:02-C*03:05-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 59  A*31:01-B*40:08-C*03:04-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 60  A*31:01-B*40:01-C*03:04-DRB1*08:01-DQA1*04:01-DQB1*04:02-DPB1*02:01  Nicaragua Managua 0.2165339
 61  A*31:01-B*40:02-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 62  A*31:01-B*40:02-C*03:05-DRB1*14:02-DQA1*03:01-DQB1*04:02-DPB1*04:02  Nicaragua Managua 0.2165339
 63  A*31:01-B*40:02-C*03:06-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPB1*05:01  Nicaragua Managua 0.2165339
 64  A*31:01-B*40:02-C*03:06-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 65  A*31:01-B*40:05-C*03:04-DRB1*14:02-DQA1*05:01-DQB1*03:01-DPB1*04:02  Nicaragua Managua 0.2165339
 66  A*31:01-B*40:08-C*03:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 67  A*31:01-B*40:08-C*03:04-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 68  A*31:01-B*40:01-C*03:04-DRB1*04:04  Italy pop 5 0.2000975
 69  A*31:01-B*40:01-C*03:04-DRB1*08:03:02-DQB1*02:01  England North West 0.2000298
 70  A*31:01-B*40:02-C*03:04-DRB1*14:54  Japan pop 16 0.193018,604
 71  A*31:01-B*40:02-C*03:05-DRB1*04:07-DQB1*04:02-DPB1*04:02  Panama 0.1900462
 72  A*31:01-B*40:02-C*03:05-DRB1*14:02-DQB1*03:01-DPB1*04:01  Panama 0.1900462
 73  A*31:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  USA African American pop 4 0.17402,411
 74  A*31:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.17091,463
 75  A*31:01-B*40:01-C*03:04-DRB1*04:04  Germany DKMS - Portugal minority 0.17001,176
 76  A*31:01-B*40:01-C*03:04-DRB1*09:01  Germany DKMS - China minority 0.15601,282
 77  A*31:01-B*40:01-C*03:04-DRB1*13:02  Germany DKMS - Netherlands minority 0.15101,374
 78  A*31:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  Italy pop 5 0.1500975
 79  A*31:01-B*40:02-C*03:04-DRB1*08:02  Japan pop 16 0.141018,604
 80  A*31:01-B*40:02-C*03:04-DRB1*11:01  Japan pop 16 0.141018,604
 81  A*31:01-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02  USA Hispanic pop 2 0.14001,999
 82  A*31:01-B*40:08-C*03:04-DRB1*14:06-DQB1*03:01  USA Hispanic pop 2 0.14001,999
 83  A*31:01-B*40:02-C*03:04-DRB1*09:01  Japan pop 16 0.125018,604
 84  A*31:01-B*40:02-C*03:04-DRB1*04:05  Japan pop 16 0.120018,604
 85  A*31:01-B*40:01-C*03:04-DRB1*13:01  Germany DKMS - Austria minority 0.11801,698
 86  A*31:01-B*40:02-C*03:04-DRB1*11:01  Germany DKMS - China minority 0.11701,282
 87  A*31:01-B*40:01-C*03:04-DRB1*13:01  Germany DKMS - Netherlands minority 0.11601,374
 88  A*31:01:02-B*40:01:02-C*03:04:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.115323,595
 89  A*31:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  USA NMDP Black South or Central American 0.11234,889
 90  A*31:01-B*40:01-C*03:04  Italy pop 5 0.1100975
 91  A*31:01-B*40:01-C*03:04-DRB1*04:04  Poland DKMS 0.109820,653
 92  A*31:01-B*40:01-C*03:04-DRB1*08:03  Japan pop 16 0.104018,604
 93  A*31:01-B*40:01-C*03:04-DRB1*03:01  Germany DKMS - Netherlands minority 0.10301,374
 94  A*31:01:02-B*40:02:01-C*03:05-DRB1*01:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 0.1028221
 95  A*31:01-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.10251,463
 96  A*31:01-B*40:01-C*03:04-DRB1*04:04  Germany DKMS - Croatia minority 0.09702,057
 97  A*31:01-B*40:02-C*03:04-DRB1*04:10  Japan pop 16 0.094018,604
 98  A*31:01-B*40:02-C*03:04-DRB1*04:11-DQB1*03:02  USA Hispanic pop 2 0.09401,999
 99  A*31:01-B*40:02-C*03:04-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.08901,772
 100  A*31:01-B*40:02-C*03:04-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.08901,772

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 316) 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.

support@allelefrequencies.net


Valid XHTML 1.0 Transitional