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 1,842) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 19  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*40-C*15  Pakistan Baloch 11.100066
 2  B*40-C*15  Pakistan Brahui 10.9000104
 3  B*40:02-C*15:02  Philippines Ivatan 9.000050
 4  B*40-C*15  Pakistan Mixed Sindhi 8.5000101
 5  A*11-B*40-C*15  Pakistan Brahui 6.0000104
 6  A*11-B*40-C*15  Pakistan Baloch 5.400066
 7  A*02-B*40-C*15  Pakistan Mixed Sindhi 4.3000101
 8  B*40:02-C*15:02  Mexico Oaxaca Mixe 3.900055
 9  A*02:01:01-B*40:06:01-C*15:02:01  South African Mixed ancestry 3.000050
 10  B*40:01-C*15:02  Taiwan Minnan pop 1 2.9000102
 11  A*34:01-B*40:02-C*15:02-DRB1*15:02-DRB5*01:01-DQB1*05:02  USA NMDP Filipino 2.771350,614
 12  A*24:02-B*40:02-C*15:02-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 2.7523218
 13  A*11-B*40-C*15  Pakistan Mixed Sindhi 2.6000101
 14  A*11:01:01-B*40:06-C*15:02:01-DRB1*15:02  Iran Baloch 2.3000100
 15  A*02:11:01-B*40:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 2.1505186
 16  A*01-B*40-C*15-DRB1*14-DQB1*05  Albanian Kosovo 2.0800120
 17  A*02:11:01-B*40:06:01-C*15:02:01  South African Indian population 2.000050
 18  A*11:01:01-B*40:06:01-C*15:02:01  South African Indian population 2.000050
 19  A*24:02:01-B*40:06:01-C*15:02:01  South African Indian population 2.000050
 20  B*40:01-C*15:02  Taiwan Pazeh 2.000055
 21  B*40:06-C*15:02  USA Asian pop 2 1.70401,772
 22  A*02:11-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India Central UCBB 1.65354,204
 23  A*34:01-B*40:02-C*15:02-DRB1*14:08-DQB1*05:03  USA NMDP Hawaiian or other Pacific Islander 1.533811,499
 24  A*02:11-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India West UCBB 1.34195,829
 25  A*24:02:01-B*40:06:01-C*15:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 1.2640356
 26  B*40:01-C*15:02  Taiwan Paiwan 1.200051
 27  A*02:11-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India East UCBB 1.13902,403
 28  A*02:11-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India North UCBB 1.11425,849
 29  A*24:02-B*40:02-C*15:02-DRB1*04:05-DRB4*01:01-DQB1*05:03  USA NMDP Filipino 1.107050,614
 30  A*11:01:01-B*40:06-C*15:02:01-DRB1*16:02  Iran Baloch 1.1000100
 31  B*40:02-C*15:02  USA North American Native 1.1000187
 32  A*31:01-B*40:02-C*15:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 33  A*33:03:01-B*40:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 1.0630174
 34  A*31:01:02-B*40:06:01-C*15:02:01-DRB1*15:01:01  China Jingpo Minority 1.0420105
 35  A*02-B*40-C*15  Brazil Parana Japanese 1.0400192
 36  A*02:01:01-B*40:06:01-C*15:02:01  South African Indian population 1.000050
 37  A*02:06:01-B*40:06:01-C*15:07  South African Indian population 1.000050
 38  A*24:07-B*40:06:01-C*15:02:01  South African Indian population 1.000050
 39  A*26-B*40-C*15:02-DRB1*12:01-DQB1*03  Russia Transbaikal Territory Buryats 1.0000150
 40  A*02:11-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.998611,446
 41  A*68:01:02-B*40:06:01-C*15:02:01  China Jingpo Minority 0.9900105
 42  B*40:06:01-C*15:02:01  China Jingpo Minority 0.9800105
 43  A*24:02-B*40:06-C*15:02-DRB1*16:02-DQA1*01:02-DQB1*05:02  United Arab Emirates Abu Dhabi 0.960052
 44  A*24:02:01-B*40:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.9480174
 45  A*24-B*40-C*15-DRB1*12  Myanmar Shan 0.926054
 46  A*02:11-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.9225271
 47  A*02:11-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.91872,492
 48  A*02-B*40-C*15-DRB1*15  Myanmar Chin 0.909055
 49  A*11-B*40-C*15-DRB1*15  Myanmar Kayah 0.909055
 50  A*02:11-B*40:06-C*15:02-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP South Asian Indian 0.8660185,391
 51  A*02:11:01-B*40:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.8560356
 52  B*40:02-C*15:02  USA Asian pop 2 0.80701,772
 53  A*24:02:01-B*40:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.8065186
 54  A*33-B*40-C*15-DRB1*04  Myanmar Mon 0.781064
 55  A*01:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.70975,829
 56  A*02-B*40-C*15-DRB1*16-DQA1*01-DQB1*05  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 57  B*40-C*15  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 58  B*40-C*15-DRB1*16-DQA1*01-DQB1*05  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 59  A*24:02-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.68095,849
 60  A*02:11-B*40:06-C*15:02-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP Southeast Asian 0.631827,978
 61  A*01-B*40-C*15-DRB1*14  Macedonia MBMDR - Macedonian 0.61931,283
 62  B*40:01-C*15:02  USA Asian pop 2 0.60801,772
 63  A*24:02-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.59962,492
 64  A*02:11:01-B*40:06:01-C*15:02:01-DRB1*15:02:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.5750174
 65  A*11:01:01-B*40:06:01-C*15:02:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.5750174
 66  A*24:02-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.56974,204
 67  A*11:01:01-B*40:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.5620356
 68  A*02:11-B*40:06-C*15:02-DRB1*15:01-DQA1*01:03-DQB1*06:01-DPB1*02:01  Sri Lanka Colombo 0.5602714
 69  A*02:01-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Indian 0.5535271
 70  A*11:01-B*40:04-C*15:02-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.5535271
 71  A*68:01:02-B*40:06:01-C*15:07-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.5376186
 72  B*40:06:01-C*15:02:01-DRB1*04:06:01  China Jingpo Minority 0.5210105
 73  A*02:01-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India Northeast UCBB 0.5068296
 74  A*11:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.48725,829
 75  A*01:01-B*40:06-C*15:02-DRB1*14:04  Germany DKMS - Bosnia and Herzegovina minority 0.43801,028
 76  A*24:02-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.42992,403
 77  A*11:01:01-B*40:06:01-C*15:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.4210356
 78  A*24:02-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India East UCBB 0.40802,403
 79  A*01:01-B*40:06-C*15:02-DRB1*14:04  Germany DKMS - Romania minority 0.40501,234
 80  A*01:01-B*40:06-C*15:02-DRB1*14:04-DQA1*03:03-DQB1*05:03  Kosovo 0.4030124
 81  A*11-B*40-C*15-DRB1*10  Iran pop 4 0.4000855
 82  A*11-B*40-C*15-DRB1*16  Iran pop 4 0.4000855
 83  A*02-B*40-C*15:02-DRB1*14-DQB1*05  Russia North Ossetian 0.3900127
 84  A*24-B*40-C*15:02-DRB1*14-DQB1*05  Russia North Ossetian 0.3900127
 85  A*01:01-B*40:53-C*15:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.3690271
 86  A*02:11-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.3690271
 87  A*24:02-B*40:06-C*15:02-DRB1*12:02-DQB1*05:03  Malaysia Peninsular Indian 0.3690271
 88  A*26:01-B*40:04-C*15:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.3690271
 89  A*31:01-B*40:06-C*15:02-DRB1*07:01-DQB1*03:03  Malaysia Peninsular Indian 0.3690271
 90  A*01:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.36575,849
 91  A*11:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.35785,849
 92  A*02:01-B*40:01-C*15:02-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.35601,772
 93  A*24:02-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.352611,446
 94  A*02:11-B*40:06-C*15:02-DRB1*15:01-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.3501714
 95  A*11:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.34854,204
 96  A*01-B*40-C*15-DRB1*14-DQB1*05  Albania pop 2 0.3400432
 97  A*02-B*40-C*15-DRB1*14-DQB1*05  Albania pop 2 0.3400432
 98  A*24:02-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.33975,829
 99  A*11:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India Northeast UCBB 0.3378296
 100  A*11:01:01-B*40:06:01-C*15:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.3370356

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 1,842) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 19  


   

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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