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 480) records   Pages: 1 2 3 4 5 of 5  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02:01-B*15:01-C*01:02  Mexico Chihuahua Tarahumara 11.400044
 2  A*24:02:01-B*15:01-C*01:02-DRB1*14:02-DQB1*03:01-DPB1*04:02  Mexico Chihuahua Tarahumara 8.000044
 3  B*15:01:01-C*01:02  Taiwan Rukai 6.000050
 4  A*24:02-B*15:01-C*01:02-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 4.807752
 5  B*15:01-C*01:02  USA North American Native 4.2000187
 6  B*15:01:01-C*01:02  Taiwan Paiwan 3.900051
 7  A*02:01:01-B*15:01:01-C*01:02:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 3.472272
 8  A*24:02:01-B*15:01-C*01:02-DRB1*14:02-DQB1*03:01-DPB1*04:01  Mexico Chihuahua Tarahumara 3.400044
 9  A*02:01-B*15:01-C*01:02-DRB1*16:02-DQB1*03:01  Colombia North Chimila Amerindians 2.127747
 10  B*15:01-C*01:02  Mexico Oaxaca Zapotec 1.800090
 11  B*15:01:01-C*01:02  Taiwan Thao 1.700030
 12  A*24:02-B*15:01-C*01:02  USA North American Native 1.6000187
 13  B*15:01-C*01:02  USA Hispanic 1.5000234
 14  B*15:01-C*01:02  Mexico Mexico City Mestizo pop 2 1.4900234
 15  A*02:06-B*15:01-C*01:02-DRB1*14:02-DQB1*03:01  USA NMDP Alaska Native or Aleut 1.18121,376
 16  A*02:06-B*15:01-C*01:02  USA North American Native 1.1000187
 17  A*02:01-B*15:01-C*01:02-DRB1*04:11-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 18  A*24:02-B*15:01-C*01:02-DRB1*04:11-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 19  A*24:02-B*15:01-C*01:02-DRB1*16:02-DQA1*05:05-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 20  A*31:01-B*15:01-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 21  A*31:01-B*15:01-C*01:02-DRB1*04:11-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 22  A*68:01-B*15:01-C*01:02-DRB1*04:04-DQA1*03:01-DQB1*03:03  Mexico Chichen Itza Maya (prehispanic) 1.063847
 23  B*15:01-C*01:02  Mexico Mexico City Mestizo population 1.0490143
 24  A*24:02-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 25  A*68:01-B*15:01-C*01:02-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 26  B*15:01-C*01:02  USA Hispanic pop 2 0.85801,999
 27  A*24:02-B*15:01-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 28  A*68:01-B*15:01-C*01:02-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 29  A*68:01-B*15:01-C*01:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 30  A*02:01:01-B*15:01:01-C*01:02:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 31  A*02:01:01-B*15:01:01-C*01:02:01-DRB1*14:06:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 32  A*24:02:01-B*15:01:01-C*01:02:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 33  A*02:01-B*15:01-C*01:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.6494339
 34  A*02:01:01-B*15:01:01-C*01:02:01-DRB1*16:02:01  Nicaragua Mestizo (G) 0.6452155
 35  B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.6400234
 36  A*11:01:01-B*15:01:01-C*01:02:01-DRB1*15:02:01  China Jingpo Minority 0.5210105
 37  A*23:01:01-B*15:01:01-C*01:02:01-DRB1*04:01:01  Costa Rica African -Caribbean (G) 0.4902102
 38  A*68:01-B*15:01-C*01:02-DRB1*16:02-DQB1*03:01-DPB1*04:02  Panama 0.4900462
 39  A*11:01:01-B*15:01:01-C*01:02:01-DRB1*04:04:01-DQB1*03:02:01  Spain, Canary Islands, Gran canaria island 0.4700215
 40  B*15:01-C*01:02-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.4300234
 41  B*15:01-C*01:02-DRB1*16:02-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.4300234
 42  A*02:01-B*15:01-C*01:02-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.4274234
 43  A*24:02-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4274234
 44  A*26:01:01-B*15:01:01-C*01:02:01-DRB1*04:01:01-DQA1*03:03:01-DQB1*03:02-DPA1*01:03:01-DPB1*03:01:01  Russian Federation Vologda Region 0.4202119
 45  A*02:22:01-B*15:01:01-C*01:02:01-DRB1*16:02:01  Costa Rica Amerindians (G) 0.4032125
 46  A*31:01:02-B*15:01:01-C*01:02:01-DRB1*04:07  Costa Rica Amerindians (G) 0.4032125
 47  A*31:01-B*15:01-C*01:02-DRB1*04:03-DQB1*03:02  USA NMDP Alaska Native or Aleut 0.39651,376
 48  A*02:06-B*15:01-C*01:02-DRB1*04:11-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 49  A*24:02-B*15:01-C*01:02-DRB1*16:02-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 50  B*15:01-C*01:02-DRB1*04:11-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 51  B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 52  B*15:01-C*01:02-DRB1*16:02-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 53  A*68:02:01-B*15:01:01-C*01:02:01-DRB1*16:02:01  Nicaragua Mestizo (G) 0.3226155
 54  B*15:01-C*01:02  USA Asian pop 2 0.32001,772
 55  A*02:06-B*15:01-C*01:02-DRB1*04:03-DQB1*03:02  USA NMDP Alaska Native or Aleut 0.28991,376
 56  A*02:01-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.28101,999
 57  A*24:02-B*15:01-C*01:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.2801714
 58  A*02:01-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  USA NMDP Alaska Native or Aleut 0.27781,376
 59  A*02:01-B*15:01-C*01:02  Italy pop 5 0.2700975
 60  A*24:02-B*15:01-C*01:02-DRB1*16:02-DQB1*03:01-DPB1*04:02  Panama 0.2700462
 61  A*02:11:01-B*15:01:01-C*01:02:01-DRB1*04:01:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 62  A*24:02:01-B*15:01:01-C*01:02:01-DRB1*15:02:02-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 63  A*02:01-B*15:01-C*01:02-DRB1*04:02-DQA1*04:01-DQB1*04:02-DPB1*05:01  USA San Diego 0.2600496
 64  A*11:01-B*15:01-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*39:01  USA San Diego 0.2600496
 65  A*31:01-B*15:01-C*01:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPB1*04:01  USA San Diego 0.2600496
 66  A*11:01:01-B*15:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.25951,734
 67  A*02:01-B*15:01-C*01:02-DRB1*14:01-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 68  B*15:01-C*01:02  Italy pop 5 0.2500975
 69  A*11:01-B*15:01-C*01:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.23742,492
 70  A*68:05-B*15:01-C*01:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 71  A*31:01:02-B*15:01:01-C*01:02:01-DRB1*04:07-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.2262221
 72  A*31:01:02-B*15:01:01-C*01:02:01-DRB1*16:02:01-DQB1*05:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 73  A*02:01-B*15:01-C*01:02-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*14:01  Nicaragua Managua 0.2165339
 74  A*31:78-B*15:01-C*01:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPB1*04:02  Nicaragua Managua 0.2165339
 75  A*02:06-B*15:01-C*01:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*10:01  Sri Lanka Colombo 0.2101714
 76  A*01:01-B*15:01-C*01:02-DRB1*04:04-DQB1*03:02:01  England North West 0.2000298
 77  A*01:01-B*15:01-C*01:02-DRB1*07:01:01-DQB1*02:01  England North West 0.2000298
 78  A*02:01-B*15:01-C*01:02-DRB1*04:08  Italy pop 5 0.2000975
 79  A*24:02-B*15:01-C*01:02-DRB1*03:01:01-DQB1*02:01  England North West 0.2000298
 80  A*32:01-B*15:01-C*01:02-DRB1*03:01:01-DQB1*02:01  England North West 0.2000298
 81  A*29:02:01-B*15:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02-DPA1*01:03:01-DPB1*06:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 82  A*31:01:02-B*15:01:01-C*01:02:01-DRB1*08:02:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 83  A*24:02-B*15:01-C*01:02-DRB1*04:07-DQB1*03:02-DPB1*04:01  Panama 0.1900462
 84  A*24:02-B*15:01-C*01:02-DRB1*11:01-DQB1*03:01-DPB1*03:01  Panama 0.1900462
 85  A*31:01-B*15:01-C*01:02-DRB1*04:03-DQB1*03:02-DPB1*04:02  Panama 0.1900462
 86  A*33:01-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02-DPB1*105:01  Panama 0.1900462
 87  A*74:01-B*15:01-C*01:02-DRB1*04:05-DQB1*03:02-DPB1*01:01  Panama 0.1900462
 88  A*11:01-B*15:01-C*01:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.18412,492
 89  A*02:01-B*15:01-C*01:02-DRB1*09:01  Germany DKMS - China minority 0.16901,282
 90  A*02:01-B*15:01-C*01:02-DRB1*09:01  Germany DKMS - France minority 0.14201,406
 91  A*02:01-B*15:01-C*01:02-DRB1*04:08-DQB1*03:01  Italy pop 5 0.1400975
 92  A*02:01-B*15:01-C*01:02-DRB1*04:08-DQB1*03:02  Italy pop 5 0.1400975
 93  A*02:01-B*15:01-C*01:02-DRB1*11:01-DQB1*03:01  Italy pop 5 0.1400975
 94  A*03:01-B*15:01-C*01:02-DRB1*08:01-DQB1*04:02  Italy pop 5 0.1400975
 95  A*24:02:01-B*15:01:01-C*01:02:01-DRB1*07:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 96  A*24:02:01-B*15:01:01-C*01:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 97  A*24:02-B*15:01-C*01:02-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.13301,772
 98  A*02:01-B*15:01-C*01:02-DRB1*13:01  Germany DKMS - Austria minority 0.11801,698
 99  A*11:01-B*15:01-C*01:02-DRB1*14:01  Germany DKMS - China minority 0.11701,282
 100  A*24:02-B*15:01-C*01:02-DRB1*09:01  Germany DKMS - China minority 0.11701,282

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 480) records   Pages: 1 2 3 4 5 of 5  


   

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