Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 7,027) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 71  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.18791,510
 2  A*01:01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.06261,510
 3  A*01:01:01:01-B*35:01:01-C*04:01:01-DRB1*14:01:01-DQB1*05:03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 4  A*01:01:01:01-B*35:01:01-C*06:02:01:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 5  A*01:01:01:01-B*35:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 6  A*01:01:01-B*35:01:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.001723,595
 7  A*01:01:01-B*35:01:01-C*03:03:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002023,595
 8  A*01:01:01-B*35:01:01-C*03:03:01-DRB1*08:09:01-DQB1*04:02:01  China Zhejiang Han 0.02881,734
 9  A*01:01:01-B*35:01:01-C*03:03:01-DRB1*09:01:02-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00905,266
 10  A*01:01:01-B*35:01:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.005623,595
 11  A*01:01:01-B*35:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 12  A*01:01:01-B*35:01:01-C*03:04:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 13  A*01:01:01-B*35:01:01-C*04:01:01  England Blood Donors of Mixed Ethnicity 0.3313519
 14  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*02:02:01  Poland BMR 0.000875123,595
 15  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:02:01  Poland BMR 0.006723,595
 16  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.067523,595
 17  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*06:03:01  Poland BMR 0.002723,595
 18  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.1041221
 19  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.0718221
 20  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 0.0503221
 21  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*03:01  Costa Rica African -Caribbean (G) 1.4706102
 22  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Bashkirs 0.4167120
 23  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.001823,595
 24  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002923,595
 25  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.002223,595
 26  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*04:02:01-DQB1*03:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 27  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*04:02:01-DQB1*05:03:01  Poland BMR 0.002123,595
 28  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.006323,595
 29  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 30  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 31  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.007323,595
 32  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.012023,595
 33  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.003423,595
 34  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 35  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Karnataka Kannada Speaking 0.2870174
 36  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.003323,595
 37  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.003823,595
 38  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.002223,595
 39  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.019623,595
 40  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*13:02:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.0444221
 41  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.1286221
 42  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.0177221
 43  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01  Costa Rica Central Valley Mestizo (G) 0.0355221
 44  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*13:03:01  Nicaragua Mestizo (G) 0.3226155
 45  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.000548923,595
 46  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*13:05:01-DQB1*03:01:01  Poland BMR 0.004823,595
 47  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*14:01:01-DQB1*05:03:01  Poland BMR 0.002123,595
 48  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.031823,595
 49  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.008323,595
 50  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*15:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.1293221
 51  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*15:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.0727221
 52  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*15:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 0.0242221
 53  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.009523,595
 54  A*01:01:01-B*35:01:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002223,595
 55  A*01:01:01-B*35:01:01-C*06:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:02:01  Russia Belgorod region 0.3268153
 56  A*01:01:01-B*35:01:01-C*06:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.004223,595
 57  A*01:01:01-B*35:01:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 58  A*01:01:01-B*35:01:01-C*12:03:01-DRB1*04:04:01-DQB1*04:02:01  India Kerala Malayalam speaking 0.1400356
 59  A*01:01:01-B*35:01:01-C*12:03:01-DRB1*15:02:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 60  A*01:01:01-B*35:01:01-C*15:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.001523,595
 61  A*01:01:01-B*35:01:01-C*15:02:01-DRB1*10:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 62  A*01:01:01-B*35:01:01-C*15:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002723,595
 63  A*01:01:01-B*35:01:01-C*15:02:01-DRB1*10:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 64  A*01:01:01-B*35:01:01-C*17:03:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 65  A*01:01:01-B*35:01:01-DRB1*03:01:01  Cape Verde Southeastern Islands 1.600062
 66  A*01:01:01-B*35:01:01-DRB1*07:01:01  Portugal Center 1.500050
 67  A*01:01-B*35:01  Cuba Mixed Race 2.400042
 68  A*01:01-B*35:01  USA Asian pop 2 0.03601,772
 69  A*01:01-B*35:01  USA African American pop 4 0.14402,411
 70  A*01:01-B*35:01  USA Hispanic pop 2 0.19101,999
 71  A*01:01-B*35:01-C*01:02-DRB1*11:01  Germany DKMS - Spain minority 0.04501,107
 72  A*01:01-B*35:01-C*02:02-DRB1*11:01  Germany DKMS - Spain minority 0.04501,107
 73  A*01:01-B*35:01-C*03:03-DRB1*04:04  Poland DKMS 0.004820,653
 74  A*01:01-B*35:01-C*03:03-DRB1*04:04-DQB1*03:02  India North UCBB 0.00855,849
 75  A*01:01-B*35:01-C*03:03-DRB1*04:08-DQB1*03:01  India Central UCBB 0.01194,204
 76  A*01:01-B*35:01-C*03:03-DRB1*04:08-DQB1*03:01  India North UCBB 0.02565,849
 77  A*01:01-B*35:01-C*03:03-DRB1*04:08-DQB1*03:01  India East UCBB 0.02082,403
 78  A*01:01-B*35:01-C*03:03-DRB1*04:10  Germany DKMS - China minority 0.03901,282
 79  A*01:01-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02  India West UCBB 0.04295,829
 80  A*01:01-B*35:01-C*03:03-DRB1*09:01  Hong Kong Chinese BMDR 0.00367,595
 81  A*01:01-B*35:01-C*03:03-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 82  A*01:01-B*35:01-C*03:03-DRB1*11:01  Poland DKMS 0.001820,653
 83  A*01:01-B*35:01-C*03:03-DRB1*11:01-DQB1*03:01  India North UCBB 0.00855,849
 84  A*01:01-B*35:01-C*03:03-DRB1*13:02-DQB1*06:09  India East UCBB 0.02082,403
 85  A*01:01-B*35:01-C*03:04-DRB1*01:01  Germany DKMS - Austria minority 0.02901,698
 86  A*01:01-B*35:01-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 87  A*01:01-B*35:01-C*03:04-DRB1*08:01  Poland DKMS 0.002420,653
 88  A*01:01-B*35:01-C*03:04-DRB1*11:02  Germany DKMS - Croatia minority 0.02402,057
 89  A*01:01-B*35:01-C*04:01  Italy pop 5 0.3400975
 90  A*01:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Romania minority 0.24101,234
 91  A*01:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Croatia minority 0.10602,057
 92  A*01:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - United Kingdom minority 0.06601,043
 93  A*01:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Netherlands minority 0.14901,374
 94  A*01:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - France minority 0.16201,406
 95  A*01:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Greece minority 0.14601,894
 96  A*01:01-B*35:01-C*04:01-DRB1*01:01  Poland DKMS 0.096420,653
 97  A*01:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.14404,856
 98  A*01:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India North UCBB 0.07485,849
 99  A*01:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India Central UCBB 0.06754,204
 100  A*01:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.08195,829

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 7,027) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 71  


   

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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