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 155) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*68:01-B*55:01-C*01:02-DRB1*11:11-DQA1*05:01-DQB1*03:01-DPB1*26:01  Sri Lanka Colombo 0.4202714
 2  A*74:01-B*81:01-C*18:01-DRB1*11:118-DQB1*03:19-DPB1*01:01  Tanzania Maasai 0.1597336
 3  A*24:02-B*38:01-C*12:03-DRB1*11:11  Germany DKMS - Bosnia and Herzegovina minority 0.09701,028
 4  DRB1*11:11-DQB1*03:01  USA Asian pop 2 0.08801,772
 5  A*68:01-B*55:01-C*01:02-DRB1*11:11-DQB1*03:01  India Central UCBB 0.08234,204
 6  A*68:01-B*55:01-C*01:02-DRB1*11:11-DQB1*03:01  India North UCBB 0.07555,849
 7  A*24:02-B*40:06-C*15:02-DRB1*11:11-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 8  A*33:03-B*55:01-C*01:02-DRB1*11:11-DQA1*05:01-DQB1*03:01-DPB1*26:01  Sri Lanka Colombo 0.0700714
 9  A*68:01-B*55:01-C*01:02-DRB1*11:11-DQA1*05:01-DQB1*03:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 10  A*68:01-B*35:01-C*04:01-DRB1*11:11-DQB1*03:01  India Tamil Nadu 0.05512,492
 11  A*24:07-B*55:01-C*01:02-DRB1*11:11-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 12  A*02:11-B*15:05-C*03:03-DRB1*11:11-DQB1*03:01  USA Asian pop 2 0.04401,772
 13  A*26:01-B*55:01-C*01:02-DRB1*11:11-DQB1*03:01  USA Asian pop 2 0.04401,772
 14  A*68:01-B*55:01-C*01:02-DRB1*11:11-DQB1*03:01  India East UCBB 0.04162,403
 15  A*02:01-B*18:01-C*07:01-DRB1*11:11  Germany DKMS - Romania minority 0.04101,234
 16  A*68:01-B*55:01-C*01:02-DRB1*11:11-DQB1*03:01  India West UCBB 0.03315,829
 17  A*03-B*44-DRB1*11:112  Chile Santiago 0.0323920
 18  A*03-B*44-DRB1*11:117  Chile Santiago 0.0323920
 19  A*01:01-B*51:01-C*16:01-DRB1*11:11  Germany DKMS - Greece minority 0.02601,894
 20  A*02:01-B*51:01-C*14:02-DRB1*11:11  Germany DKMS - Greece minority 0.02601,894
 21  A*11:01-B*56:01-C*01:02-DRB1*11:11  Germany DKMS - Greece minority 0.02601,894
 22  A*68:01-B*15:18-C*07:04-DRB1*11:11-DQB1*03:01  India Tamil Nadu 0.02422,492
 23  A*01:01-B*58:01-C*07:01-DRB1*11:11  Germany DKMS - Croatia minority 0.02402,057
 24  A*25:01-B*18:01-C*12:03-DRB1*11:11  Germany DKMS - Croatia minority 0.02402,057
 25  A*33:03-B*55:01-C*01:02-DRB1*11:11-DQB1*03:01  India Central UCBB 0.02384,204
 26  A*01-B*49-DRB1*11:117  Chile Santiago 0.0229920
 27  A*69-B*55-DRB1*11:117  Chile Santiago 0.0222920
 28  A*02:01-B*38:01-DRB1*11:11  Israel Ashkenazi Jews pop 3 0.02164,625
 29  A*01:01-B*44:03-C*07:06-DRB1*11:11-DQB1*03:01  India East UCBB 0.02082,403
 30  A*02:03-B*49:01-C*04:01-DRB1*11:11-DQB1*06:03  India East UCBB 0.02082,403
 31  A*03:01-B*55:01-C*01:02-DRB1*11:11-DQB1*03:01  India East UCBB 0.02082,403
 32  A*24:02-B*07:02-C*07:02-DRB1*11:11-DQB1*03:01  India East UCBB 0.02082,403
 33  A*24:02-B*40:06-C*15:02-DRB1*11:11-DQB1*03:01  India East UCBB 0.02082,403
 34  A*33:03-B*27:07-C*15:02-DRB1*11:11-DQB1*03:01  India East UCBB 0.02082,403
 35  A*02-B*15-DRB1*11:117  Chile Santiago 0.0205920
 36  A*68:01-B*55:01-C*01:02-DRB1*11:11-DQB1*03:01  India Tamil Nadu 0.02012,492
 37  A*01-B*40-DRB1*11:117  Chile Santiago 0.0199920
 38  A*24:02-B*55:01-C*01:02-DRB1*11:11-DQB1*03:01  India North UCBB 0.01735,849
 39  A*02-B*51-DRB1*11:117  Chile Santiago 0.0173920
 40  A*01:01-B*55:01-C*01:02-DRB1*11:11-DQB1*03:01  India West UCBB 0.01725,829
 41  A*24:02-B*52:01-C*12:02-DRB1*11:11-DQB1*03:01  India West UCBB 0.01725,829
 42  A*02-B*51-DRB1*11:112  Chile Santiago 0.0172920
 43  A*01:01-B*52:01-C*01:02-DRB1*11:11-DQB1*03:01  India North UCBB 0.01715,849
 44  A*11:01-B*15:01-C*04:01-DRB1*11:11-DQB1*03:01  India North UCBB 0.01715,849
 45  A*24:02-B*51:01-C*16:02-DRB1*11:11-DQB1*03:01  India North UCBB 0.01715,849
 46  A*02-B*15-DRB1*11:112  Chile Santiago 0.0155920
 47  A*68-B*51-DRB1*11:117  Chile Santiago 0.0150920
 48  A*02:05-B*38:01-DRB1*11:11  Israel Poland Jews 0.014413,871
 49  A*02-B*35-DRB1*11:117  Chile Santiago 0.0138920
 50  A*68:01-B*55:01-C*01:02-DRB1*11:11-DQB1*03:01  India South UCBB 0.013811,446
 51  A*02:01-B*55:01-C*01:02-DRB1*11:11-DQB1*03:01  India Central UCBB 0.01284,204
 52  A*01:01-B*51:01-C*14:02-DRB1*11:11-DQB1*06:01  India Central UCBB 0.01194,204
 53  A*02:06-B*15:18-C*07:04-DRB1*11:11-DQB1*03:01  India Central UCBB 0.01194,204
 54  A*02:11-B*55:01-C*01:02-DRB1*11:11-DQB1*03:01  India Central UCBB 0.01194,204
 55  A*11:01-B*51:01-C*07:29-DRB1*11:11-DQB1*03:01  India Central UCBB 0.01194,204
 56  A*24:02-B*44:03-C*07:02-DRB1*11:11-DQB1*03:01  India Central UCBB 0.01194,204
 57  A*24:02-B*55:01-C*01:02-DRB1*11:11-DQB1*03:01  India Central UCBB 0.01194,204
 58  A*33:03-B*58:01-C*03:02-DRB1*11:11-DQB1*03:01  India Central UCBB 0.01194,204
 59  A*68:01-B*57:01-C*06:02-DRB1*11:11-DQB1*03:01  India Central UCBB 0.01194,204
 60  A*02:01-B*38:01-DRB1*11:11  Israel Argentina Jews 0.01164,307
 61  A*01-B*40-DRB1*11:112  Chile Santiago 0.0109920
 62  A*02:05-B*38:01-DRB1*11:11  Israel Ashkenazi Jews pop 3 0.01084,625
 63  A*02:06-B*55:01-C*01:02-DRB1*11:11-DQB1*03:01  India North UCBB 0.01005,849
 64  A*32:13-B*51:01-C*12:03-DRB1*11:11-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 65  A*24:02-B*55:01-C*01:02-DRB1*11:11-DQB1*03:01  India West UCBB 0.00985,829
 66  A*68-B*39-DRB1*11:112  Chile Santiago 0.0097920
 67  A*68-B*39-DRB1*11:117  Chile Santiago 0.0092920
 68  A*02-B*14-DRB1*11:117  Chile Santiago 0.0091920
 69  A*02-B*40-DRB1*11:117  Chile Santiago 0.0091920
 70  A*23-B*51-DRB1*11:112  Chile Santiago 0.0091920
 71  A*23-B*51-DRB1*11:117  Chile Santiago 0.0091920
 72  A*24-B*39-DRB1*11:117  Chile Santiago 0.0091920
 73  A*26-B*57-DRB1*11:117  Chile Santiago 0.0091920
 74  A*26-B*58-DRB1*11:117  Chile Santiago 0.0091920
 75  A*02:05-B*38:01-DRB1*11:11  Israel USSR Jews 0.008845,681
 76  A*11:01-B*55:01-C*01:02-DRB1*11:11-DQB1*03:01  India South UCBB 0.008711,446
 77  A*02:01-B*55:01-C*01:02-DRB1*11:11-DQB1*03:01  India West UCBB 0.00865,829
 78  A*11:01-B*35:03-C*04:01-DRB1*11:11-DQB1*03:01  India West UCBB 0.00865,829
 79  A*30:01-B*44:02-C*05:01-DRB1*11:11-DQB1*03:01  India West UCBB 0.00865,829
 80  A*31:01-B*51:01-C*07:29-DRB1*11:11-DQB1*03:01  India West UCBB 0.00865,829
 81  A*32:01-B*49:01-C*07:01-DRB1*11:11-DQB1*03:01  India West UCBB 0.00865,829
 82  A*32:01-B*51:01-C*07:29-DRB1*11:11-DQB1*03:01  India West UCBB 0.00865,829
 83  A*01:01-B*41:01-C*17:01-DRB1*11:11-DQB1*03:01  India North UCBB 0.00855,849
 84  A*02:01-B*52:01-C*12:02-DRB1*11:11-DQB1*03:01  India North UCBB 0.00855,849
 85  A*02:03-B*40:06-C*12:02-DRB1*11:11-DQB1*03:01  India North UCBB 0.00855,849
 86  A*02:06-B*13:02-C*06:02-DRB1*11:11-DQB1*03:01  India North UCBB 0.00855,849
 87  A*02:06-B*51:01-C*15:02-DRB1*11:11-DQB1*03:01  India North UCBB 0.00855,849
 88  A*02:09-B*08:01-C*07:02-DRB1*11:11-DQB1*03:01  India North UCBB 0.00855,849
 89  A*03:02-B*07:05-C*07:06-DRB1*11:11-DQB1*03:01  India North UCBB 0.00855,849
 90  A*11:01-B*35:03-C*04:01-DRB1*11:11-DQB1*03:01  India North UCBB 0.00855,849
 91  A*24:02-B*35:01-C*04:01-DRB1*11:11-DQB1*03:01  India North UCBB 0.00855,849
 92  A*32:01-B*49:01-C*07:01-DRB1*11:11-DQB1*03:01  India North UCBB 0.00855,849
 93  A*32:01-B*51:01-C*07:29-DRB1*11:11-DQB1*03:01  India North UCBB 0.00855,849
 94  A*02:20-B*55:01-C*01:02-DRB1*11:11-DQB1*03:01  India North UCBB 0.00835,849
 95  A*02:05-B*38:01-DRB1*11:11  Israel USA Jews 0.00836,058
 96  A*68:02-B*51:01-DRB1*11:11  Israel USA Jews 0.00836,058
 97  A*68:01-B*15:18-C*07:04-DRB1*11:11-DQB1*03:01  India South UCBB 0.008011,446
 98  A*01-B*49-DRB1*11:112  Chile Santiago 0.0078920
 99  A*03-B*18-DRB1*11:117  Chile Santiago 0.0078920
 100  A*03-B*44-DRB1*11:111  Chile Santiago 0.0078920

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 155) 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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