Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 3,173) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 32  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11:01-B*40:06  Oman 5.5000118
 2  A*68:01:01-B*40:06  India West Bhil 4.900050
 3  A*68:01:01-B*40:06-C*12:02:01  India West Bhil 4.900050
 4  B*40:06-C*06:02  India Mumbai Maratha 4.000091
 5  B*40:06-C*08:01  Japan Central 3.8000371
 6  A*02:01:01-B*40:06:01-C*15:02:01  South African Mixed ancestry 3.000050
 7  B*40:06-C*07:04  India Mumbai Maratha 3.000091
 8  A*11:01:01-B*40:06-C*15:02:01-DRB1*15:02  Iran Baloch 2.3000100
 9  B*40:06-DRB1*09:01-DQB1*03:03  South Korea pop 3 2.2000485
 10  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
 11  A*02:11:01-B*40:06:01-C*15:02:01  South African Indian population 2.000050
 12  A*11:01:01-B*40:06:01-C*12:02:02  South African Indian population 2.000050
 13  A*11:01:01-B*40:06:01-C*15:02:01  South African Indian population 2.000050
 14  A*24:02:01-B*40:06:01-C*15:02:01  South African Indian population 2.000050
 15  A*24:02-B*40:06  Taiwan Siraya 2.000051
 16  B*40:06-C*08:01  Taiwan Siraya 2.000051
 17  B*40:06-DRB1*04:03  Taiwan Siraya 2.000051
 18  B*40:06-C*08:01-DRB1*09:01  South Korea pop 3 1.9000485
 19  A*24:02-B*40:06-C*08:01  Japan pop 5 1.8000117
 20  B*40:06-C*15:02  USA Asian pop 2 1.70401,772
 21  B*40:06-C*08:01  USA Asian 1.7000358
 22  A*02:11-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India Central UCBB 1.65354,204
 23  A*24:02-B*40:06  Taiwan Atayal 1.4000106
 24  B*40:06-C*08:01  Taiwan Atayal 1.4000106
 25  B*40:06-DRB1*08:03:02  Taiwan Atayal 1.4000106
 26  A*02:11-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India West UCBB 1.34195,829
 27  B*40:06-C*08:01  USA Asian pop 2 1.33501,772
 28  A*24:02-B*40:06  USA Asian 1.3000358
 29  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
 30  A*24:02-B*40:06  USA Asian pop 2 1.23001,772
 31  A*02:11-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India East UCBB 1.13902,403
 32  A*02:11-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India North UCBB 1.11425,849
 33  A*11:01:01-B*40:06-C*15:02:01-DRB1*16:02  Iran Baloch 1.1000100
 34  A*26:01-B*40:06-C*07:02-DRB1*03:01  Iran Baloch 1.1000100
 35  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
 36  A*31:01:02-B*40:06:01-C*15:02:01-DRB1*15:01:01  China Jingpo Minority 1.0420105
 37  A*68:01:02-B*40:06:01-DRB1*15:01:01  China Jingpo Minority 1.0420105
 38  B*40:06:01-DRB1*04:06:01  China Jingpo Minority 1.0420105
 39  A*02:01:01-B*40:06:01-C*15:02:01  South African Indian population 1.000050
 40  A*02:06:01-B*40:06:01-C*15:07  South African Indian population 1.000050
 41  A*24:02:01-B*40:06:01-C*01:02:01  South African Indian population 1.000050
 42  A*24:02-B*40:06-C*08:01-DRB1*09:01-DQB1*03:03  South Korea pop 3 1.0000485
 43  A*24:02-B*40:06-C*08:01-DRB1*09:01-DQB1*03:03-DPB1*05:01  Japan Central 1.0000371
 44  A*24:02-B*40:06-DRB1*09:01  South Korea pop 3 1.0000485
 45  A*24:07-B*40:06:01-C*15:02:01  South African Indian population 1.000050
 46  A*31:01:02-B*40:06:01-C*06:02:01  South African Indian population 1.000050
 47  A*68:01:02-B*40:06:01-C*07:04:01  South African Indian population 1.000050
 48  A*02:11-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.998611,446
 49  A*31:01:02-B*40:06:01  China Jingpo Minority 0.9900105
 50  A*68:01:02-B*40:06:01-C*15:02:01  China Jingpo Minority 0.9900105
 51  B*40:06:01-C*15:02:01  China Jingpo Minority 0.9800105
 52  A*01:03-B*40:06-C*12:03-DRB1*03:01-DQA1*05:01-DQB1*02:01  United Arab Emirates Abu Dhabi 0.960052
 53  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
 54  A*66:01-B*40:06-C*03:02-DRB1*16:02-DQA1*01:02-DQB1*06:02  United Arab Emirates Abu Dhabi 0.960052
 55  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
 56  A*02:11-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.9225271
 57  A*02:11-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.91872,492
 58  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
 59  A*24:02-B*40:06-C*08:01-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Japanese 0.859024,582
 60  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
 61  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
 62  A*01:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.70975,829
 63  A*24:02-B*40:06-C*08:01-DRB1*09:01  Japan pop 16 0.709018,604
 64  A*24:02:01-B*40:06:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.69911,734
 65  A*24:02-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.68095,849
 66  A*02:01-B*40:06-DRB1*10:01  Israel Kavkazi Jews 0.63702,840
 67  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
 68  A*24:02-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.59962,492
 69  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
 70  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
 71  A*24:02:01-B*40:06:01-C*01:02:01-DRB1*13:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.5750174
 72  A*24:02-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.56974,204
 73  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
 74  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
 75  A*02:01-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Indian 0.5535271
 76  A*26:02-B*40:06-C*08:01-DRB1*09:01  Japan pop 16 0.542018,604
 77  A*03:01:01-B*40:06:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 78  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
 79  B*40:06:01-C*15:02:01-DRB1*04:06:01  China Jingpo Minority 0.5210105
 80  A*24:02:01:01-B*40:06:01-C*03:02:02-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.5208192
 81  A*02:01-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India Northeast UCBB 0.5068296
 82  A*24:02:01-B*40:06:01-C*03:04:01-DRB1*08:03:02-DQB1*06:01:01  Vietnam Kinh 0.4950101
 83  A*24:02:01-B*40:06:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 84  A*26:01:01-B*40:06:01-C*08:01:01-DRB1*04:01:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 85  A*68:01:02-B*40:06:01-C*08:01:01-DRB1*15:02:01-DQB1*05:02:01  Vietnam Kinh 0.4950101
 86  A*11:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.48725,829
 87  A*11:01-B*40:06-DRB1*14:04  New Zealand Maori with Admixed History 0.4762105
 88  A*24:02-B*40:06-C*08:01-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Korean 0.470077,584
 89  A*02:11-B*40:06  USA Asian pop 2 0.46501,772
 90  A*02:06-B*40:06-C*08:01-DRB1*09:01  Japan pop 16 0.464018,604
 91  A*24:02-B*40:06-C*08:01-DRB1*09:01  Germany DKMS - China minority 0.46001,282
 92  A*01:01-B*40:06-C*15:02-DRB1*14:04  Germany DKMS - Bosnia and Herzegovina minority 0.43801,028
 93  A*24:02-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.42992,403
 94  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
 95  A*02:06:01-B*40:06:01:01-C*05:01:01:02-DRB1*09:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 96  A*02:11:01-B*40:06:01:02-C*01:02:01-DRB1*01:01-DQB1*05:01:01  Russia Bashkortostan, Bashkirs 0.4167120
 97  A*24:02:01-B*40:06:01:01-C*08:22-DRB1*01:01-DQB1*05:01:01  Russia Bashkortostan, Bashkirs 0.4167120
 98  A*32:01:01-B*40:06:01:02-C*06:02:01:01-DRB1*03:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 99  A*24:02-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India East UCBB 0.40802,403
 100  A*01:01-B*40:06-C*15:02-DRB1*14:04  Germany DKMS - Romania minority 0.40501,234

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 3,173) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 32  


   

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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