Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 981) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 10  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01:01-B*35:03:01-C*12:03:01  South African Mixed ancestry 1.000050
 2  A*03:02:01-B*35:03:01-C*12:03:01  South African Indian population 1.000050
 3  A*24:02:01-B*35:03:01-C*12:03:01  South African Indian population 1.000050
 4  A*24:02-B*35:03-C*12:03-DRB1*07:01-DQB1*02:01  USA NMDP Caribean Indian 0.917214,339
 5  B*35:03-C*12:03  USA Asian pop 2 0.87801,772
 6  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
 7  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
 8  A*24:02-B*35:03-C*12:03-DRB1*11:01-DQA1*05:05-DQB1*03:01  Kosovo 0.8060124
 9  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
 10  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Northeast UCBB 0.6757296
 11  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
 12  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
 13  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
 14  B*35:03-C*12:03  Italy pop 5 0.5600975
 15  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Central UCBB 0.49534,204
 16  A*03:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India North UCBB 0.46905,849
 17  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.42472,492
 18  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
 19  A*11:01-B*35:03-C*12:03-DRB1*13:02-DQA1*01:03-DQB1*05:03  Kosovo 0.4030124
 20  A*69:01-B*35:03-C*12:03-DRB1*04:07-DQA1*03:01-DQB1*03:01  Kosovo 0.4030124
 21  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.3690271
 22  A*24:02-B*35:03-C*12:03-DRB1*14:01  Germany DKMS - Greece minority 0.35401,894
 23  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
 24  A*02:01-B*35:03-C*12:03-DRB1*14:01  Brazil Vale do Ribeira Quilombos 0.3472144
 25  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.33905,829
 26  A*03:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India Northeast UCBB 0.3378296
 27  A*03:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Northeast UCBB 0.3378296
 28  A*11:01-B*35:03-C*12:03-DRB1*14:04-DQB1*05:03  India Northeast UCBB 0.3378296
 29  A*33:03-B*35:03-C*12:03-DRB1*14:54  Hong Kong Chinese BMDR 0.33727,595
 30  A*11:01-B*35:03-C*12:03-DRB1*04:08  Poland DKMS 0.329620,653
 31  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
 32  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India East UCBB 0.31422,403
 33  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
 34  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
 35  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
 36  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
 37  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
 38  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
 39  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
 40  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
 41  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
 42  A*11:01:01-B*35:03:01-C*12:03:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.274223,595
 43  A*24:02-B*35:03-C*12:03  Italy pop 5 0.2700975
 44  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
 45  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
 46  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
 47  A*02:02-B*35:03-C*12:03-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 48  B*35:03-C*12:03  USA Hispanic pop 2 0.25401,999
 49  A*03:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India East UCBB 0.24822,403
 50  A*11:01-B*35:03-C*12:03-DRB1*04:08-DQB1*03:04-DPB1*15:01  Russia Karelia 0.22581,075
 51  A*24:02-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India East UCBB 0.21952,403
 52  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
 53  B*35:03-C*12:03  Mexico Mexico City Mestizo pop 2 0.2100234
 54  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.20755,849
 55  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.205711,446
 56  A*02:01-B*35:03-C*12:03-DRB1*15:01-DQB1*05:01:01  England North West 0.2000298
 57  A*03:01-B*35:03-C*12:03-DRB1*07:01  Italy pop 5 0.2000975
 58  A*24:02-B*35:03-C*12:03-DRB1*04:08-DQB1*03:04  England North West 0.2000298
 59  A*24:02-B*35:03-C*12:03-DRB1*14:01-DQB1*05:03:01  England North West 0.2000298
 60  A*02:01-B*35:03-C*12:03-DRB1*14:01  Germany DKMS - Bosnia and Herzegovina minority 0.19501,028
 61  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
 62  A*01:03-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.1845271
 63  A*03:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.1845271
 64  A*03:01-B*35:03-C*12:03-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Indian 0.1845271
 65  A*24:02-B*35:03-C*12:03-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Indian 0.1845271
 66  A*24:15-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.1845271
 67  A*30:01-B*35:03-C*12:03-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 68  A*33:12-B*35:03-C*12:03-DRB1*15:14-DQB1*05:03  Malaysia Peninsular Indian 0.1845271
 69  A*02:01-B*35:03-C*12:03-DRB1*04:08  Germany DKMS - Spain minority 0.18101,107
 70  A*11:01-B*35:03-C*12:03  Italy pop 5 0.1800975
 71  A*03:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India Central UCBB 0.17834,204
 72  A*11:01-B*35:03-C*12:03-DRB1*04:08  Germany DKMS - Austria minority 0.17601,698
 73  A*24:02-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India South UCBB 0.175711,446
 74  A*11:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India Northeast UCBB 0.1689296
 75  A*24:02-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India Northeast UCBB 0.1689296
 76  A*24:02-B*35:03-C*12:03-DRB1*14:04-DQB1*05:03  India Northeast UCBB 0.1689296
 77  A*11:01:01:01-B*35:03:01-C*12:03:01:01-DRB1*04:08:01-DQB1*03:04:01  Russia Nizhny Novgorod, Russians 0.16561,510
 78  A*24:02-B*35:03-C*12:03-DRB1*14:01  Germany DKMS - Romania minority 0.16201,234
 79  A*33:03:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.14185,266
 80  A*03:01-B*35:03-C*12:03-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Sri Lanka Colombo 0.1401714
 81  A*03:01-B*35:03-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.1401714
 82  A*33:03-B*35:03-C*12:03-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  Sri Lanka Colombo 0.1401714
 83  A*33:03-B*35:03-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:01  Sri Lanka Colombo 0.1401714
 84  A*02:01:01-B*35:03:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 85  A*02:01-B*35:03-C*12:03-DRB1*12:01-DQB1*03:01  Italy pop 5 0.1400975
 86  A*03:01:01-B*35:03:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 87  A*03:02-B*35:03-C*12:03-DRB1*14:01-DQB1*05:03  Italy pop 5 0.1400975
 88  A*11:01-B*35:03-C*12:03-DRB1*04:08-DQB1*03:04  USA Hispanic pop 2 0.14001,999
 89  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 90  A*24:02-B*35:03-C*12:03-DRB1*14:01-DQB1*05:03  Germany DKMS - Turkey minority 0.14004,856
 91  A*24:02-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  Italy pop 5 0.1400975
 92  A*31:01:02-B*35:03:01-C*12:03:01-DRB1*08:03:02-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356
 93  A*68:01:02-B*35:03:01-C*12:03:01-DRB1*04:08:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 94  A*68:01-B*35:03-C*12:03-DRB1*11:04-DQB1*03:01  Italy pop 5 0.1400975
 95  A*24:02-B*35:03-C*12:03-DRB1*14:04-DQB1*05:03  India West UCBB 0.13945,829
 96  A*01:01-B*35:03-C*12:03-DRB1*14:04-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 97  A*24:02-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.13671,463
 98  A*11:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.13532,492
 99  A*24:02-B*35:03-C*12:03-DRB1*14:04-DQB1*05:03  USA Asian pop 2 0.13301,772
 100  A*33:03-B*35:03-C*12:03-DRB1*14:01-DQB1*05:03  USA Asian pop 2 0.13301,772

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 981) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 10  


   

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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