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 1,133) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 12  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*35-C*12:03  Pakistan Burusho 9.700092
 2  B*35-C*12:03  Pakistan Kalash 8.600069
 3  A*02-B*35-C*12:03  Pakistan Kalash 7.900069
 4  A*24-B*35-C*12:03  Pakistan Burusho 6.600092
 5  A*02:01:01-B*35:03:01-C*12:03:01  South African Mixed ancestry 1.000050
 6  A*03:02:01-B*35:03:01-C*12:03:01  South African Indian population 1.000050
 7  A*24:02:01-B*35:03:01-C*12:03:01  South African Indian population 1.000050
 8  A*24:02-B*35:02-C*12:03-DRB1*11:04-DQA1*05:05-DQB1*03:01  United Arab Emirates Abu Dhabi 0.960052
 9  A*24:02-B*35:03-C*12:03-DRB1*07:01-DQB1*02:01  USA NMDP Caribean Indian 0.917214,339
 10  B*35:03-C*12:03  USA Asian pop 2 0.87801,772
 11  A*24:02-B*35:03-C*12:03-E*01:03:02-F*01:01:02-G*01:01-DRB1*11:01-DQA1*05:05-DQB1*03:01  Portugal Azores Terceira Island 0.8772130
 12  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.8620174
 13  A*01:01-B*35:01-C*12:03-DRB1*14:54-DQA1*01:01-DQB1*05:03  Kosovo 0.8060124
 14  A*24:02-B*35:03-C*12:03-DRB1*11:01-DQA1*05:05-DQB1*03:01  Kosovo 0.8060124
 15  A*24:02-B*35:20-C*12:03-DRB1*11:01-DQB1*03:01  Iran Gorgan 0.780064
 16  A*25:01-B*35:10-C*12:03-DRB1*03:01-DQB1*05:01  Iran Gorgan 0.780064
 17  A*24:02-B*35:03-C*12:03-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Caribean Hispanic 0.6778115,374
 18  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Northeast UCBB 0.6757296
 19  A*11:01:01-B*35:01:01-C*12:03:01-DRB1*04:11:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Parda 0.5882170
 20  A*26:01:01-B*35:03:01-C*12:03:01-DRB1*15:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 21  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.5837521
 22  A*02:11:01-B*35:03:01-C*12:03:01-DRB1*15:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.5750174
 23  B*35:03-C*12:03  Italy pop 5 0.5600975
 24  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Central UCBB 0.49534,204
 25  A*03:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India North UCBB 0.46905,849
 26  B*35:01-C*12:03  Italy pop 5 0.4600975
 27  A*02:05-B*35:27-C*12:03-E*01:01:01-F*01:01:02-G*01:03-DRB1*08:01-DQA1*01:01-DQB1*04:02  Portugal Azores Terceira Island 0.4386130
 28  A*11:01-B*35:27-C*12:03-E*01:01:01-F*01:01:02-G*01:01-DRB1*04:07-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 29  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.42472,492
 30  A*02:01:01:01-B*35:01:01:02-C*12:03:01:01-DRB1*08:01:01-DQB1*04:02:01  Russia Bashkortostan, Bashkirs 0.4167120
 31  A*24:02:01-B*35:03:01-C*12:03:01:01-DRB1*04:08:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 32  A*11:01-B*35:03-C*12:03-DRB1*13:02-DQA1*01:03-DQB1*05:03  Kosovo 0.4030124
 33  A*69:01-B*35:03-C*12:03-DRB1*04:07-DQA1*03:01-DQB1*03:01  Kosovo 0.4030124
 34  A*02-B*35-C*12:03-DRB1*04-DQB1*03  Russia North Ossetian 0.3900127
 35  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.3690271
 36  A*03:01-B*35:01-C*12:03  Italy pop 5 0.3600975
 37  A*24:02-B*35:03-C*12:03-DRB1*14:01  Germany DKMS - Greece minority 0.35401,894
 38  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*13:01  Sri Lanka Colombo 0.3501714
 39  A*02:01-B*35:03-C*12:03-DRB1*14:01  Brazil Vale do Ribeira Quilombos 0.3472144
 40  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.33905,829
 41  A*03:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India Northeast UCBB 0.3378296
 42  A*03:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Northeast UCBB 0.3378296
 43  A*11:01-B*35:03-C*12:03-DRB1*14:04-DQB1*05:03  India Northeast UCBB 0.3378296
 44  A*33:03-B*35:03-C*12:03-DRB1*14:54  Hong Kong Chinese BMDR 0.33727,595
 45  A*02-B*35-C*12:03-DRB1*04:08-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 46  A*11-B*35-C*12:03-DRB1*01:01-DQB1*05  Russia Transbaikal Territory Buryats 0.3340150
 47  A*24-B*35-C*12:03-DRB1*14:01-DQB1*05  Russia Transbaikal Territory Buryats 0.3340150
 48  A*31-B*35-C*12:03-DRB1*14:01-DQB1*05  Russia Transbaikal Territory Buryats 0.3340150
 49  A*11:01-B*35:03-C*12:03-DRB1*04:08  Poland DKMS 0.329620,653
 50  A*02:01:01-B*35:03:01-C*12:03:01-DRB1*07:01:01-DQA1*05:05:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:02:01  Russia Belgorod region 0.3268153
 51  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India East UCBB 0.31422,403
 52  A*02:01:01-B*35:03:01-C*12:03:08-DRB1*15:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 53  A*11:01:01-B*35:03:01-C*12:03:01-DRB1*07:01:01-DQB1*03:04:01-DPA1*02:02:02-DPB1*158:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 54  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 55  A*26:01:01-B*35:03:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*02:01:04-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 56  A*03:01-B*35:01-C*12:03-DRB1*14:04-DQA1*01:02-DQB1*05:10-DPB1*18:01  South Africa Worcester 0.3000159
 57  A*03:01:01-B*35:03:01-C*12:03:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 58  A*31:01:02-B*35:03:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 59  A*68:01:02-B*35:03:01-C*12:03:01-DRB1*04:03:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 60  A*68:01:02-B*35:03:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 61  A*03:01:01-B*35:03:01-C*12:03:01-DRB1*08:03:02-DQB1*03:01:01  India Kerala Malayalam speaking 0.2810356
 62  A*11:01:01-B*35:03:01-C*12:03:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.274223,595
 63  A*24:02-B*35:03-C*12:03  Italy pop 5 0.2700975
 64  A*02:11:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 65  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 66  A*02:01:01:01-B*35:08:01-C*12:03:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 0.2604192
 67  A*25:01:01-B*35:01:01:02-C*12:03:01:01-DRB1*08:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 68  A*69:01-B*35:08:01-C*12:03:01:01-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 69  A*03:01-B*35:03-C*12:03-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPB1*05:01  USA San Diego 0.2600496
 70  A*02:02-B*35:03-C*12:03-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 71  B*35:03-C*12:03  USA Hispanic pop 2 0.25401,999
 72  A*03:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India East UCBB 0.24822,403
 73  A*11:01-B*35:03-C*12:03-DRB1*04:08-DQB1*03:04-DPB1*15:01  Russia Karelia 0.22581,075
 74  A*24:02-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India East UCBB 0.21952,403
 75  A*33:03-B*35:03-C*12:03-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*04:01  Sri Lanka Colombo 0.2101714
 76  B*35:03-C*12:03  Mexico Mexico City Mestizo pop 2 0.2100234
 77  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.20755,849
 78  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.205711,446
 79  A*02:01-B*35:03-C*12:03-DRB1*15:01-DQB1*05:01:01  England North West 0.2000298
 80  A*03:01-B*35:03-C*12:03-DRB1*07:01  Italy pop 5 0.2000975
 81  A*24:02-B*35:03-C*12:03-DRB1*04:08-DQB1*03:04  England North West 0.2000298
 82  A*24:02-B*35:03-C*12:03-DRB1*14:01-DQB1*05:03:01  England North West 0.2000298
 83  A*02:01-B*35:03-C*12:03-DRB1*14:01  Germany DKMS - Bosnia and Herzegovina minority 0.19501,028
 84  A*30:04:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 85  A*02:01-B*35:04-C*12:03-DRB1*14:02-DQB1*03:01-DPB1*03:01  Panama 0.1900462
 86  A*11:01-B*35:01-C*12:03-DRB1*04:02-DQB1*03:02-DPB1*04:01  Panama 0.1900462
 87  A*01:03-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.1845271
 88  A*03:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.1845271
 89  A*03:01-B*35:03-C*12:03-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Indian 0.1845271
 90  A*24:02-B*35:03-C*12:03-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Indian 0.1845271
 91  A*24:10-B*35:04-C*12:03-DRB1*01:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 92  A*24:15-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.1845271
 93  A*30:01-B*35:03-C*12:03-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 94  A*33:12-B*35:03-C*12:03-DRB1*15:14-DQB1*05:03  Malaysia Peninsular Indian 0.1845271
 95  A*02:01-B*35:03-C*12:03-DRB1*04:08  Germany DKMS - Spain minority 0.18101,107
 96  A*11:01-B*35:03-C*12:03  Italy pop 5 0.1800975
 97  B*35:08-C*12:03  Italy pop 5 0.1800975
 98  A*03:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India Central UCBB 0.17834,204
 99  A*11:01-B*35:03-C*12:03-DRB1*04:08  Germany DKMS - Austria minority 0.17601,698
 100  A*24:02-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India South UCBB 0.175711,446

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 1,133) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 12  


   

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