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 190) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*68:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  United Arab Emirates Abu Dhabi 3.850052
 2  A*32:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  United Arab Emirates Abu Dhabi 2.880052
 3  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 2.46765,849
 4  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 1.60795,829
 5  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 1.57674,204
 6  A*26:01-B*08:01-C*07:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP South Asian Indian 1.4203185,391
 7  A*26:01-B*08:01-C*07:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Southeast Asian 1.178027,978
 8  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  United Arab Emirates Abu Dhabi 0.960052
 9  A*33:03:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Andhra Pradesh Telugu Speaking 0.8065186
 10  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.74612,403
 11  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.72445,849
 12  A*24:07-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.71002,492
 13  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.702411,446
 14  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.7020356
 15  A*24:02:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.667228,927
 16  A*68:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.614928,927
 17  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.59482,492
 18  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.593328,927
 19  A*24:02:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Karnataka Kannada Speaking 0.5750174
 20  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.55304,856
 21  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 22  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.51684,204
 23  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.44401,772
 24  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.43835,829
 25  A*24:07-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.432511,446
 26  A*01:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 27  A*32:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 0.4030124
 28  A*11:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.37065,849
 29  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.35055,849
 30  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Northeast UCBB 0.3378296
 31  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.330928,927
 32  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.32274,204
 33  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.31302,403
 34  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.30965,829
 35  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Karnataka Kannada Speaking 0.2870174
 36  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.26204,856
 37  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Chinese 0.2577194
 38  A*03:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.25204,856
 39  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.238711,446
 40  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.233228,927
 41  A*24:02:01-B*08:01:01-C*07:02:01-DRB1*03:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 42  A*02:06-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.22465,849
 43  A*68:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.22201,772
 44  A*11:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.20504,856
 45  A*11:01-B*08:01-C*07:02-DRB1*03:01:01-DQB1*02:01  England North West 0.2000298
 46  A*02:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.192528,927
 47  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Indian 0.1845271
 48  A*33:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Indian 0.1845271
 49  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.17801,772
 50  A*68:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.17504,856
 51  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.17301,159
 52  A*33:03-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Northeast UCBB 0.1689296
 53  A*26:01:01-B*08:01:01-C*07:02:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.16561,510
 54  A*11:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.16364,204
 55  A*11:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.159111,446
 56  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Malay 0.1577951
 57  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.15262,492
 58  A*02:06-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.14774,204
 59  A*33:03-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.14015,849
 60  A*03:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 61  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*09:01  Sri Lanka Colombo 0.1401714
 62  A*24:07-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 63  A*01:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356
 64  A*02:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356
 65  A*11:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356
 66  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.14001,999
 67  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 68  A*24:07:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356
 69  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.13752,403
 70  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.13604,856
 71  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.13542,492
 72  A*11:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.13302,403
 73  A*02:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.130428,927
 74  A*11:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.12755,829
 75  A*26:01-B*08:01-C*07:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Chinese 0.127599,672
 76  A*02:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.12395,849
 77  A*26:01-B*08:01-C*07:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Middle Eastern or North Coast of Africa 0.119570,890
 78  A*02:11-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.11215,829
 79  A*33:03-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.10924,204
 80  A*02:06-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.10875,829
 81  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.103411,446
 82  A*68:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.10315,829
 83  A*03:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.09774,204
 84  A*68:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.094528,927
 85  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*17:01:01  Saudi Arabia pop 6 (G) 0.090828,927
 86  A*32:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.090528,927
 87  A*02:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.09004,856
 88  A*03:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.08901,772
 89  A*33:03-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.08901,772
 90  A*68:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.08865,849
 91  A*11:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.08742,492
 92  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  China Zhejiang Han 0.08651,734
 93  A*31:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.08292,403
 94  A*03:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.07985,829
 95  A*31:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.07744,204
 96  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 97  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*17:01  Sri Lanka Colombo 0.0700714
 98  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 99  A*03:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 100  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335

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 190) 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.

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