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 195) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*34:02:01-B*44:03:01-C*04:01:01-DRB1*13:01  Costa Rica Guanacaste Mestizo (G) 1.8182110
 2  A*24:02-B*44:03-C*07:06-DRB1*13:01-DQA1*01:03-DQB1*06:03  United Arab Emirates Abu Dhabi 0.960052
 3  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.7930174
 4  A*34:02:01-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*105:01:01  South African Black 0.7040142
 5  A*34:02-B*44:03-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:02  South Africa Worcester 0.6000159
 6  A*29:02:01-B*44:03:01-C*16:02:01-DRB1*13:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 7  A*02:01:01-B*44:03:01-C*05:01:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 8  A*24:02:01-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQA1*05:05:01-DQB1*06:03-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 9  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Bashkirs 0.4167120
 10  A*23:01-B*44:03-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Kosovo 0.4030124
 11  A*30:04:01-B*44:03:01-C*02:10:01-DRB1*13:01:01-DQB1*06:02:01-DPB1*105:01:01  South African Black 0.3520142
 12  A*34:02:01-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*02:01:02  South African Black 0.3520142
 13  A*02:05-B*44:03-C*16:01-DRB1*13:01-DQA1*02:01-DQB1*03:02-DPB1*04:01  South Africa Worcester 0.3000159
 14  A*30:04-B*44:03-C*04:01-DRB1*13:01-DQA1*01:02-DQB1*06:03-DPB1*01:01  South Africa Worcester 0.3000159
 15  A*33:03-B*44:03-C*07:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:01  Sri Lanka Colombo 0.2801714
 16  A*11:01:01-B*44:03:02-C*07:06-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 17  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 18  A*34:02:01-B*44:03:01-C*03:05-DRB1*13:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.2262221
 19  A*29:02-B*44:03-C*16:01-DRB1*13:01  Germany DKMS - Spain minority 0.22401,107
 20  A*11:01-B*44:03-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Nicaragua Managua 0.2165339
 21  A*11:01-B*44:03-C*04:01-DRB1*13:01:01-DQB1*06:03:01  England North West 0.2000298
 22  A*11:01:01-B*44:03:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 23  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 24  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 25  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 26  A*74:03-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 27  A*29:02-B*44:03-C*16:01-DRB1*13:01-DQB1*06:03  USA NMDP Caribean Indian 0.180714,339
 28  A*33:03-B*44:03-C*07:06-DRB1*13:01-DQB1*06:03  India Northeast UCBB 0.1689296
 29  A*68:01-B*44:03-C*04:01-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 30  A*29:02-B*44:03-C*16:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 31  A*33:03-B*44:03-C*07:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.13392,492
 32  A*68:02-B*44:03-DRB1*13:01  Israel Morocco Jews 0.109036,718
 33  A*29:02-B*44:03-C*16:01-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.10341,463
 34  A*68:01-B*44:03-C*04:01-DRB1*13:01  Italy pop 5 0.1000975
 35  B*44:03-DRB1*13:01  Italy pop 5 0.1000975
 36  A*33:01-B*44:03-C*02:02-DRB1*13:01  Germany DKMS - Portugal minority 0.09901,176
 37  A*33:03-B*44:03-C*07:06-DRB1*13:01-DQB1*06:03  India Central UCBB 0.09774,204
 38  A*33:03-B*44:03-C*07:06-DRB1*13:01-DQB1*06:03  India South UCBB 0.091311,446
 39  A*11:01-B*44:03-C*16:01-DRB1*13:01  Germany DKMS - Spain minority 0.09001,107
 40  A*23:01-B*44:03-C*04:01-DRB1*13:01  Germany DKMS - Spain minority 0.08201,107
 41  A*29:02-B*44:03-C*16:01-DRB1*13:01  Germany DKMS - Romania minority 0.08101,234
 42  A*01:01-B*44:03-DRB1*13:01  Israel Morocco Jews 0.071436,718
 43  A*23:01-B*44:03-C*04:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 44  A*33:03-B*44:03-C*07:06-DRB1*13:01-DQB1*06:03  India North UCBB 0.06785,849
 45  A*11:01-B*44:03-C*07:06-DRB1*13:01-DQB1*06:03  India West UCBB 0.06665,829
 46  A*23:01-B*44:03-C*04:01-DRB1*13:01  Germany DKMS - Bosnia and Herzegovina minority 0.05501,028
 47  A*24:02-B*44:03-C*07:01-DRB1*13:01-DQB1*06:09  Malaysia Peninsular Malay 0.0526951
 48  A*33:01-B*44:03-C*07:01-DRB1*13:01-DQB1*02:02  Malaysia Peninsular Malay 0.0526951
 49  A*33:01-B*44:03-C*07:01-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Malay 0.0526951
 50  A*33:03-B*44:03-C*04:01-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Malay 0.0526951
 51  A*33:03-B*44:03-C*07:06-DRB1*13:01-DQB1*06:03  India West UCBB 0.05095,829
 52  A*01:03-B*44:03-DRB1*13:01  Israel YemenJews 0.050515,542
 53  A*23:01-B*44:03-C*02:02-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.04701,999
 54  A*23:01-B*44:03-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.04701,159
 55  A*24:02-B*44:03-C*04:01-DRB1*13:01  Germany DKMS - Austria minority 0.04601,698
 56  A*03:01-B*44:03-C*07:06-DRB1*13:01-DQB1*06:03  India Central UCBB 0.04534,204
 57  A*33:01-B*44:03-C*04:01-DRB1*13:01  Germany DKMS - Spain minority 0.04501,107
 58  A*23:01-B*44:03-C*04:01-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.04402,411
 59  A*02:01-B*44:03-C*04:01-DRB1*13:01-DQB1*05:03  Germany DKMS - Italy minority 0.04301,159
 60  A*02:01-B*44:03-C*16:02-DRB1*13:01  Germany DKMS - Portugal minority 0.04301,176
 61  A*03:01-B*44:03-C*07:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.04301,159
 62  A*23:01-B*44:03-C*01:02-DRB1*13:01  Germany DKMS - Portugal minority 0.04301,176
 63  A*25:01-B*44:03-C*14:03-DRB1*13:01  Germany DKMS - Portugal minority 0.04301,176
 64  A*29:02-B*44:03-C*16:01-DRB1*13:01  Germany DKMS - Portugal minority 0.04301,176
 65  A*29:02-B*44:03-C*16:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.04301,159
 66  A*33:03-B*44:03-C*16:01-DRB1*13:01  Germany DKMS - Portugal minority 0.04301,176
 67  A*23:01-B*44:03-C*04:01-DRB1*13:01  Germany DKMS - China minority 0.03901,282
 68  A*01:01-B*44:03-C*16:01-DRB1*13:01  Germany DKMS - France minority 0.03801,406
 69  A*29:02-B*44:03-C*16:01-DRB1*13:01  Germany DKMS - Netherlands minority 0.03701,374
 70  A*24:02-B*44:03-C*04:01-DRB1*13:01  Germany DKMS - France minority 0.03601,406
 71  A*24:02-B*44:03-C*05:01-DRB1*13:01  Germany DKMS - France minority 0.03601,406
 72  A*31:01-B*44:03-C*04:01-DRB1*13:01  Germany DKMS - Netherlands minority 0.03601,374
 73  A*32:01-B*44:03-C*04:01-DRB1*13:01  Poland DKMS 0.035020,653
 74  A*01:01-B*44:03-C*04:01-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.03421,463
 75  A*02:01-B*44:03-C*04:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 76  A*03:01-B*44:03-C*07:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 77  A*11:01-B*44:03-C*16:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 78  A*24:02-B*44:03-C*16:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 79  A*29:02-B*44:03-C*16:01-DRB1*13:01-DQB1*03:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 80  A*29:02-B*44:03-C*16:10-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 81  A*01:17-B*44:03-DRB1*13:01  Israel YemenJews 0.033115,542
 82  A*29:02:01:01-B*44:03:01-C*16:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 83  A*23:01-B*44:03-C*04:01-DRB1*13:01  Germany DKMS - Greece minority 0.03101,894
 84  A*03:01-B*44:03-C*04:01-DRB1*13:01  Germany DKMS - Austria minority 0.02901,698
 85  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.024223,595
 86  A*11:01-B*44:03-C*07:06-DRB1*13:01-DQB1*06:03  India Central UCBB 0.02424,204
 87  A*31:01-B*44:03-C*04:01-DRB1*13:01  Germany DKMS - Croatia minority 0.02402,057
 88  A*33:03-B*44:03-C*07:06-DRB1*13:01-DQB1*06:03  India East UCBB 0.02312,403
 89  A*02:01-B*44:03-C*16:01-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.02301,999
 90  A*33:01-B*44:03-C*07:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.02212,492
 91  A*24:04-B*44:03-DRB1*13:01  Israel Ashkenazi Jews pop 3 0.02154,625
 92  A*03:01-B*44:03-C*05:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.02012,492
 93  A*03:01-B*44:03-C*07:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.02012,492
 94  A*24:02-B*44:03-C*07:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.02012,492
 95  A*24:02-B*44:03-DRB1*13:01  Israel Morocco Jews 0.018336,718
 96  A*24:02-B*44:03-DRB1*13:01  Israel Tunisia Jews 0.01819,070
 97  A*11:01-B*44:03-C*07:06-DRB1*13:01-DQB1*06:03  India North UCBB 0.01805,849
 98  A*02:01-B*44:03-DRB1*13:01  Israel Kavkazi Jews 0.01762,840
 99  A*68:01-B*44:03-C*07:06-DRB1*13:01-DQB1*06:03  India South UCBB 0.017611,446
 100  A*23:01-B*44:03-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.017511,446

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 195) 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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional