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 277) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*40:02-C*15:02  Philippines Ivatan 9.000050
 2  B*40:02-C*15:02  Mexico Oaxaca Mixe 3.900055
 3  A*34:01-B*40:02-C*15:02-DRB1*15:02-DRB5*01:01-DQB1*05:02  USA NMDP Filipino 2.771350,614
 4  A*24:02-B*40:02-C*15:02-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 2.7523218
 5  A*34:01-B*40:02-C*15:02-DRB1*14:08-DQB1*05:03  USA NMDP Hawaiian or other Pacific Islander 1.533811,499
 6  A*24:02-B*40:02-C*15:02-DRB1*04:05-DRB4*01:01-DQB1*05:03  USA NMDP Filipino 1.107050,614
 7  B*40:02-C*15:02  USA North American Native 1.1000187
 8  A*31:01-B*40:02-C*15:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 9  B*40:02-C*15:02  USA Asian pop 2 0.80701,772
 10  A*34:01-B*40:02-C*15:02-DRB1*15:02-DQB1*06:01  USA NMDP Hawaiian or other Pacific Islander 0.285411,499
 11  A*11:01-B*40:02-C*15:02-DRB1*11:06-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 12  A*02:06-B*40:02-C*15:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 13  A*02:06-B*40:02-C*15:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 14  A*24:02-B*40:02-C*15:02-DRB1*14:06-DQA1*05:01-DQB1*03:01-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 15  A*24:02-B*40:02-C*15:02-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 16  A*68:05-B*40:02-C*15:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Mexico Chiapas Lacandon Mayans 0.2294218
 17  A*68:05-B*40:02-C*15:02-DRB1*04:51-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Mexico Chiapas Lacandon Mayans 0.2294218
 18  B*40:02-C*15:02  USA Hispanic pop 2 0.20101,999
 19  A*34:01-B*40:02-C*15:02-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.20001,772
 20  A*02:01:01-B*40:02:01-C*15:02:01-DRB1*14:06:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 21  A*31:01:02-B*40:02:01-C*15:02:01-DRB1*04:11:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*14:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 22  A*32:01:01-B*40:02:01-C*15:02:01-DRB1*04:04:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*06:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 23  A*32:01:01-B*40:02:01-C*15:02:01  England Blood Donors of Mixed Ethnicity 0.1927519
 24  A*24:02-B*40:02-C*15:02-DRB1*11:10-DQB1*05:03  Malaysia Peninsular Indian 0.1845271
 25  A*26:01-B*40:02-C*15:02-DRB1*15:01-DQB1*02:01  Malaysia Peninsular Indian 0.1845271
 26  A*34:01-B*40:02-C*15:02-DRB1*15:02-DQB1*05:02  USA NMDP Hawaiian or other Pacific Islander 0.169511,499
 27  A*11:01:01-B*40:02:01-C*15:02:01-DRB1*12:02:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 28  A*24:07:01-B*40:02:01-C*15:02:01-DRB1*04:01:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 29  A*26:01:01-B*40:02:01-C*15:02:01-DRB1*04:01:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 30  A*33:03:01-B*40:02:01-C*15:02:01-DRB1*04:04:01-DQB1*04:02:01  India Kerala Malayalam speaking 0.1400356
 31  A*24:02-B*40:02-C*15:02-DRB1*04:05-DQB1*05:03  USA Asian pop 2 0.13301,772
 32  A*11:01-B*40:02-C*15:02-DRB1*12:02-DQB1*05:02  Malaysia Peninsular Malay 0.1052951
 33  B*40:02-C*15:02  USA African American pop 4 0.10402,411
 34  A*02:01:01-B*40:02:01-C*15:02:01  England Blood Donors of Mixed Ethnicity 0.0963519
 35  A*31:01:02-B*40:02:01-C*15:02:01  England Blood Donors of Mixed Ethnicity 0.0963519
 36  A*02:06-B*40:02-C*15:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 37  A*02:06-B*40:02-C*15:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.08901,772
 38  A*11:01-B*40:02-C*15:02-DRB1*15:02-DQB1*05:03  USA Asian pop 2 0.08901,772
 39  A*24:02-B*40:02-C*15:02-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.08901,772
 40  A*02:01-B*40:02-C*15:02-DRB1*01:01  Germany DKMS - France minority 0.07901,406
 41  A*02:01-B*40:02-C*15:02-DRB1*07:01  Germany DKMS - Netherlands minority 0.07301,374
 42  A*03:01-B*40:02-C*15:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 43  A*11:01-B*40:02-C*15:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 44  A*68:01-B*40:02-C*15:02-DRB1*14:15-DQA1*06:01-DQB1*03:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 45  A*02:01-B*40:02-C*15:02-DRB1*14:54-DQA1*01:04-DQB1*05:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.07003,078
 46  A*11:01-B*40:02-C*15:02-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.06701,772
 47  A*11:01-B*40:02-C*15:02-DRB1*15:02-DQB1*05:02  India East UCBB 0.06242,403
 48  A*02:01-B*40:02-C*15:02-DRB1*14:01-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 49  A*02:06-B*40:02-C*15:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 50  A*11:01-B*40:02-C*15:02-DRB1*11:06-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 51  A*24:02-B*40:02-C*15:02-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.0526951
 52  A*24:07-B*40:02-C*15:02-DRB1*04:05-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 53  A*24:07-B*40:02-C*15:02-DRB1*04:05-DQB1*05:03  Malaysia Peninsular Malay 0.0526951
 54  A*24:02-B*40:02-C*15:02-DRB1*04:03  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 55  A*26:01-B*40:02-C*15:02-DRB1*13:02  Germany DKMS - United Kingdom minority 0.04801,043
 56  A*30:02-B*40:02-C*15:02-DRB1*15:19  Germany DKMS - United Kingdom minority 0.04801,043
 57  A*31:01-B*40:02-C*15:02-DRB1*01:01  Germany DKMS - United Kingdom minority 0.04801,043
 58  A*32:01-B*40:02-C*15:02-DRB1*04:01  Germany DKMS - United Kingdom minority 0.04801,043
 59  A*32:01-B*40:02-C*15:02-DRB1*11:04  Germany DKMS - United Kingdom minority 0.04801,043
 60  A*02:06-B*40:02-C*15:02-DRB1*14:06-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 61  A*02:01-B*40:02-C*15:02-DRB1*08:01  Germany DKMS - Spain minority 0.04501,107
 62  A*32:01-B*40:02-C*15:02-DRB1*09:01  Germany DKMS - Spain minority 0.04501,107
 63  A*32:01-B*40:02-C*15:02-DRB1*14:01  Germany DKMS - Spain minority 0.04501,107
 64  A*11:01:01-B*40:02:01-C*15:02:01-DRB1*04:03:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04485,266
 65  A*02:01-B*40:02-C*15:02-DRB1*15:01-DQB1*06:01  USA Asian pop 2 0.04401,772
 66  A*02:01-B*40:02-C*15:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.04401,772
 67  A*11:01-B*40:02-C*15:02-DRB1*08:03-DQB1*06:01  USA Asian pop 2 0.04401,772
 68  A*24:02-B*40:02-C*15:02-DRB1*14:05-DQB1*05:03  USA Asian pop 2 0.04401,772
 69  A*31:01-B*40:02-C*15:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 70  A*34:01-B*40:02-C*15:02-DRB1*12:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 71  A*02:01-B*40:02-C*15:02-DRB1*04:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 72  A*03:01-B*40:02-C*15:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.04301,159
 73  A*03:01-B*40:02-C*15:02-DRB1*11:01  Germany DKMS - Portugal minority 0.04301,176
 74  A*11:01-B*40:02-C*15:02-DRB1*01:02  Germany DKMS - Romania minority 0.04101,234
 75  A*24:02-B*40:02-C*15:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.04092,492
 76  A*02:01-B*40:02-C*15:02-DRB1*14:01  Germany DKMS - China minority 0.03901,282
 77  A*11:01-B*40:02-C*15:02-DRB1*04:03  Germany DKMS - China minority 0.03901,282
 78  A*11:01-B*40:02-C*15:02-DRB1*04:10  Germany DKMS - China minority 0.03901,282
 79  A*11:01-B*40:02-C*15:02-DRB1*14:07  Germany DKMS - China minority 0.03901,282
 80  A*11:01-B*40:02-C*15:02-DRB1*15:01  Germany DKMS - China minority 0.03901,282
 81  A*24:02-B*40:02-C*15:02-DRB1*04:01  Germany DKMS - China minority 0.03901,282
 82  A*24:02-B*40:02-C*15:02-DRB1*15:01  Germany DKMS - China minority 0.03901,282
 83  A*26:01-B*40:02-C*15:02-DRB1*16:02  Germany DKMS - China minority 0.03901,282
 84  A*31:01-B*40:02-C*15:02-DRB1*16:02  Germany DKMS - China minority 0.03901,282
 85  A*02:01-B*40:02-C*15:02-DRB1*04:01  Germany DKMS - Netherlands minority 0.03601,374
 86  A*31:01-B*40:02-C*15:02-DRB1*04:01  Germany DKMS - France minority 0.03601,406
 87  A*03:01-B*40:02-C*15:02-DRB1*09:01-DQB1*03:03  Colombia Bogotá Cord Blood 0.03421,463
 88  A*32:01-B*40:02-C*15:02-DRB1*04:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 89  A*02:01-B*40:02-C*15:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 90  A*32:01-B*40:02-C*15:02-DRB1*04:07-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 91  A*11:01-B*40:02-C*15:02-DRB1*04:03  Hong Kong Chinese BMDR 0.03367,595
 92  A*01:01:01:01-B*40:02:01-C*15:02:01:01-DRB1*13:05:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 93  A*02:06-B*40:02-C*15:02-DRB1*15:01  Japan pop 16 0.031018,604
 94  A*02:20-B*40:02-C*15:02-DRB1*07:01-DQB1*03:03  Germany DKMS - Turkey minority 0.03104,856
 95  A*02:01-B*40:02-C*15:02-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 96  A*11:02-B*40:02-C*15:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 97  A*24:02-B*40:02-C*15:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*03:01  Japan pop 17 0.03003,078
 98  A*31:01-B*40:02-C*15:02-DRB1*12:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 99  A*31:01-B*40:02-C*15:02-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 100  A*31:01-B*40:02-C*15:02-DRB1*14:54-DQA1*01:04-DQB1*05:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078

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 277) 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