Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Displaying 1 to 100 (from 186) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*39:06-C*07:02-DRB1*14:06-DQB1*03:01  Mexico Mexico City Mestizo pop 2 3.4200234
 2  A*24:02-B*39:06-C*07:02-DRB1*14:06-DQB1*03:01  Mexico Mexico City Mestizo pop 2 2.5600234
 3  A*24:02-B*39:06-C*07:02-DRB1*14:06  USA Mexican American Mestizo 1.5000553
 4  B*39:06-C*07:02-DRB1*14:06-DQB1*03:01  Mexico Mexico City Mestizo population 1.3986143
 5  A*02:01:01-B*39:01:01-C*07:01:01-DRB1*14:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 1.388972
 6  A*02-B*39-C*07-DRB1*14-DQA1*05-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 7  B*39-C*07-DRB1*14-DQA1*05-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 8  A*24:02-B*39:05-C*07:02-DRB1*14:02-DQA1*05:01-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 9  A*24:02-B*39:06-C*07:02-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 10  A*11-B*39-C*07-DRB1*14  Myanmar Rakhine 1.042048
 11  A*24:02-B*39:06-C*07:02-DRB1*14:06-DRB3*01:01-DQB1*03:01  USA NMDP Mexican or Chicano 1.0097261,235
 12  A*11:01:01-B*39:01:01-C*07:02:01-DRB1*14:54:01-DQB1*03:01:01  Vietnam Kinh 0.9900101
 13  A*02-B*39-C*07-DRB1*14  Myanmar Chin 0.909055
 14  A*68:07-B*39:08-C*07:02:01-DRB1*14:02-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.9050221
 15  A*24:02-B*39:06-C*07:02-DRB1*14:06-DQA1*05:03-DQB1*03:01  Mexico Tixcacaltuyub Maya 0.746367
 16  A*68:03-B*39:05-C*07:02-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Tixcacaltuyub Maya 0.746367
 17  A*02-B*39-C*07-DRB1*14  Macedonia MBMDR - Macedonian Muslims 0.737776
 18  A*24:02-B*39:06-C*07:02-DRB1*14:06-DQB1*03:01  Mexico Mexico City Mestizo population 0.6993143
 19  A*31:01-B*39:06-C*07:02-DRB1*14:06-DQB1*03:01  Mexico Mexico City Mestizo population 0.6993143
 20  A*02:01:01-B*39:01:01-C*07:01:01-DRB1*14:06:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 21  A*24:02:01-B*39:01:01-C*07:01:01-DRB1*14:06:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 22  A*24:02:01-B*39:06:01-C*07:01:01-DRB1*14:06:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 23  B*39:05-C*07:02-DRB1*14:02-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.6400234
 24  A*24:02-B*39:01-C*07:02-DRB1*14:01-DQB1*05:02  USA NMDP Hawaiian or other Pacific Islander 0.614911,499
 25  A*11-B*39-C*07-DRB1*14  Macedonia MBMDR - Macedonian Muslims 0.578176
 26  A*24:02-B*39:06-C*07:02-DRB1*14:06-DQB1*03:01  USA Hispanic pop 2 0.53701,999
 27  B*39:05-C*07:02-DRB1*14:06-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.4300234
 28  A*02:01-B*39:05-C*07:02-DRB1*14:02-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.4274234
 29  A*24:02-B*39:06-C*07:02-DRB1*14:06-DRB3*01:01-DQB1*03:01  USA NMDP Hispanic South or Central American 0.4026146,714
 30  A*24:02-B*39:01-C*07:02-DRB1*14:02-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 31  B*39:01-C*07:02-DRB1*14:02-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 32  A*24:02-B*39:05-C*07:02-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.33931,463
 33  A*24:02-B*39:01-C*07:02-DRB1*14:01-DQB1*05:03  USA NMDP Hawaiian or other Pacific Islander 0.328111,499
 34  A*02:01:01-B*39:08-C*07:02:01-DRB1*14:06:01  Nicaragua Mestizo (G) 0.3226155
 35  A*02:06:01-B*39:06:02-C*07:02:01-DRB1*14:06:01  Nicaragua Mestizo (G) 0.3226155
 36  A*30:02:01-B*39:08-C*07:02:01-DRB1*14:06:01  Nicaragua Mestizo (G) 0.3226155
 37  A*02:01:01-B*39:01:01-C*07:02:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 38  A*24:02:01-B*39:06:02-C*07:02:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 39  A*24:02-B*39:06-C*07:02-DRB1*14:06-DQA1*01:02-DQB1*06:02-DPB1*03:01  USA San Diego 0.2600496
 40  A*24:02-B*39:05-C*07:02-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 41  A*24:02-B*39:06-C*07:02-DRB1*14:06-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 42  A*24:02-B*39:08-C*07:02-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 43  A*68:01-B*39:01-C*07:02-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 44  A*68:01-B*39:05-C*07:02-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 45  A*68:03-B*39:05-C*07:02-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 46  A*68:01:02-B*39:05:01-C*07:02:01-DRB1*14:02-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 47  A*01:01-B*39:11-C*07:02-DRB1*14:02-DQA1*05:01-DQB1*05:01-DPB1*04:01  Nicaragua Managua 0.2165339
 48  A*68:05-B*39:05-C*07:02-DRB1*14:02-DQA1*05:01-DQB1*03:01-DPB1*04:02  Nicaragua Managua 0.2165339
 49  A*02:01:01-B*39:09:01-C*07:02:01-DRB1*14:06:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 50  A*02:01-B*39:11-C*07:01-DRB1*14:02-DQB1*03:02-DPB1*04:02  Panama 0.1900462
 51  A*68:01-B*39:05-C*07:02-DRB1*14:02-DQB1*03:01-DPB1*04:02  Panama 0.1900462
 52  A*68:01-B*39:01-C*07:02-DRB1*14:54-DQB1*05:03  Italy pop 5 0.1400975
 53  A*02:01-B*39:06-C*07:02-DRB1*14:06-DQB1*03:01  USA Hispanic pop 2 0.13301,999
 54  A*24:02-B*39:06-C*07:02-DRB1*14:06-DQB1*03:01  USA NMDP American Indian South or Central America 0.12845,926
 55  A*02:01-B*39:11-C*07:02-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.09891,463
 56  A*31:01-B*39:06-C*07:02-DRB1*14:06-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 57  A*24:02-B*39:05-C*07:02-DRB1*14:01-DQB1*05:03  USA Asian pop 2 0.08901,772
 58  A*24:02-B*39:05-C*07:02-DRB1*14:01  Germany DKMS - China minority 0.07801,282
 59  A*24:02-B*39:01-C*07:02-DRB1*14:01  Germany DKMS - Netherlands minority 0.07301,374
 60  A*68:01-B*39:06-C*07:02-DRB1*14:04-DQA1*02:01-DQB1*02:02-DPB1*26:01  Sri Lanka Colombo 0.0700714
 61  A*02:06-B*39:01-C*07:02-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 62  A*31:01-B*39:02-C*07:02-DRB1*14:54-DQA1*01:04-DQB1*05:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 63  A*24:14-B*39:08-C*07:02-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.06841,463
 64  A*02:01-B*39:02-C*07:02-DRB1*14:54  Japan pop 16 0.068018,604
 65  A*11:01:01-B*39:05:01-C*07:02:01-DRB1*14:54:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.06635,266
 66  A*24:02-B*39:06-C*07:02-DRB1*14:06-DRB3*01:01-DQB1*03:01  USA NMDP Caribean Hispanic 0.0613115,374
 67  A*23:01-B*39:06-C*07:02-DRB1*14:06-DQB1*03:01  USA Hispanic pop 2 0.05801,999
 68  A*11:01-B*39:01-C*07:02-DRB1*14:54  Hong Kong Chinese BMDR 0.05597,595
 69  A*24:02-B*39:01-C*07:02-DRB1*14:54  Hong Kong Chinese BMDR 0.05507,595
 70  A*24:02-B*39:05-C*07:02-DRB1*14:54  Hong Kong Chinese BMDR 0.05037,595
 71  A*02:01-B*39:01-C*07:01-DRB1*14:01  Germany DKMS - United Kingdom minority 0.04801,043
 72  A*24:02:01-B*39:05:01-C*07:02:01-DRB1*14:54:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04805,266
 73  A*03:01-B*39:06-C*07:02-DRB1*14:06-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 74  A*02:01-B*39:05-C*07:02-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.04221,463
 75  A*02:01-B*39:01-C*07:02-DRB1*14:05  Germany DKMS - China minority 0.03901,282
 76  A*02:07-B*39:01-C*07:02-DRB1*14:01  Germany DKMS - China minority 0.03901,282
 77  A*11:01-B*39:05-C*07:02-DRB1*14:01  Germany DKMS - China minority 0.03901,282
 78  A*11:02-B*39:01-C*07:02-DRB1*14:18  Germany DKMS - China minority 0.03901,282
 79  A*24:08-B*39:01-C*07:02-DRB1*14:18  Germany DKMS - China minority 0.03901,282
 80  A*26:01-B*39:01-C*07:02-DRB1*14:01  Germany DKMS - China minority 0.03901,282
 81  A*02:06-B*39:01-C*07:02-DRB1*14:54  Japan pop 16 0.037018,604
 82  A*24:02-B*39:06-C*07:02-DRB1*14:06-DRB3*01:01-DQB1*03:01  USA NMDP North American Amerindian 0.036235,791
 83  A*03:01-B*39:01-C*07:02-DRB1*14:01  Germany DKMS - France minority 0.03601,406
 84  A*25:01-B*39:01-C*07:02-DRB1*14:01  Germany DKMS - Netherlands minority 0.03601,374
 85  A*32:01-B*39:01-C*07:02-DRB1*14:01  Germany DKMS - Netherlands minority 0.03601,374
 86  A*02:22-B*39:11-C*07:02-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03551,463
 87  A*02:13-B*39:01-C*07:02-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 88  A*24:02-B*39:09-C*07:02-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 89  A*24:02-B*39:19-C*07:02-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 90  A*29:02-B*39:05-C*07:02-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 91  A*33:03-B*39:08-C*07:02-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 92  A*02:01-B*39:01-C*07:02-DRB1*14:54-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 93  A*03:01-B*39:01-C*07:02-DRB1*14:54-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 94  A*24-B*39-C*07-DRB1*14-DQA1*05-DQB1*03  Spain, Castilla y Leon, Northwest, 0.03281,743
 95  A*32-B*39-C*07-DRB1*14-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 96  A*02:06-B*39:01-C*07:02-DRB1*14:03-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 97  A*02:06-B*39:01-C*07:02-DRB1*14:54-DQA1*01:04-DQB1*05:02-DPA1*01:03-DPB1*06:01  Japan pop 17 0.03003,078
 98  A*24:02-B*39:01-C*07:02-DRB1*14:03-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 99  A*24:02-B*39:01-C*07:02-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*02:02-DPB1*38:01  Japan pop 17 0.03003,078
 100  A*26:01-B*39:02-C*07:02-DRB1*14:54-DQA1*01:04-DQB1*05:02-DPA1*02:02-DPB1*03:01  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 186) 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.

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