Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 1 to 100 (from 203) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*68:01-B*51:01-DRB1*04:03-DQB1*03:02  Chile Mapuche 3.850066
 2  A*26:01:01-B*51:01:01-C*16:02:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 1.0753186
 3  A*24:02-B*51:01-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Kosovo 0.8060124
 4  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 5  A*68:03:01-B*51:01:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 6  A*24:02-B*51:01-C*14:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.5535271
 7  A*11:01:01-B*51:01:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.5376186
 8  A*03:01-B*51:01-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Kosovo 0.4030124
 9  A*26:01:01-B*51:01:01-C*15:04:01-DRB1*04:03:01-DQB1*03:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.313028,927
 10  A*24:07:01-B*51:01:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 11  A*03:01:01-B*51:01:01-C*14:02:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.2810356
 12  A*68:01:02-B*51:01:01-C*14:02:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.2810356
 13  A*02:11:01-B*51:01:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 14  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 15  A*01:01-B*51:01-C*14:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:01  USA San Diego 0.2600496
 16  A*68:01-B*51:01-C*14:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.22702,492
 17  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*04:03:01-DQB1*03:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.215328,927
 18  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.194528,927
 19  A*01:01-B*51:01-C*14:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 20  A*11:01-B*51:01-C*06:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 21  A*24:07-B*51:01-C*12:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 22  A*26:12-B*51:01-C*14:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 23  A*33:03-B*51:01-C*07:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 24  A*68:01-B*51:01-C*14:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 25  A*26:01-B*51:01-C*16:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.174811,446
 26  A*26:01-B*51:01-C*16:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.15412,492
 27  A*03:01-B*51:01-C*16:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.15352,492
 28  A*24:02-B*51:01-DRB1*04:03-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 29  A*11:01-B*51:01-C*16:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*02:01  Sri Lanka Colombo 0.1401714
 30  A*02:11:01-B*51:01:01-C*14:02:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 31  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 32  A*68:01:01-B*51:01:01-C*15:04:01-DRB1*04:03:01-DQB1*03:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.137828,927
 33  A*03:01:01-B*51:01:01-C*16:02:01-DRB1*04:03:01-DQB1*03:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.127128,927
 34  A*11:01-B*51:01-C*14:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.10902,492
 35  A*68:01-B*51:01-C*14:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.104211,446
 36  A*68:01:01-B*51:01:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.092028,927
 37  A*02:01-B*51:01-C*16:02-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.09004,856
 38  A*02:01-B*51:01-C*15:02-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.08901,772
 39  A*31:01-B*51:01-C*14:02-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.08901,772
 40  A*11:01-B*51:01-C*07:02-DRB1*04:03-DQB1*03:02  India East UCBB 0.08322,403
 41  A*02:11-B*51:01-C*07:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.07392,492
 42  A*02:16-B*51:01-C*14:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*81:01  Sri Lanka Colombo 0.0700714
 43  A*24:02-B*51:01-C*12:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 44  A*02:01-B*51:01-C*14:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.07003,078
 45  A*31:01-B*51:01-C*14:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 46  A*24:02-B*51:01-C*16:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.06322,492
 47  A*33:03-B*51:01-C*16:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.06022,492
 48  A*01:01-B*51:01-C*16:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.058811,446
 49  A*02:11-B*51:01-C*16:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.055711,446
 50  A*11:01-B*51:01-C*16:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.054111,446
 51  A*24:02-B*51:01-C*15:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Malay 0.0526951
 52  A*68:01-B*51:01-C*14:02-DRB1*04:03-DQB1*03:02  India East UCBB 0.05122,403
 53  A*02:01-B*51:01-C*15:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.05122,492
 54  A*02:11-B*51:01-C*15:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.05122,492
 55  A*32:01-B*51:01-C*15:04-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.05104,856
 56  A*02:06-B*51:01-C*14:02-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.04401,772
 57  A*11:01-B*51:01-C*14:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.042311,446
 58  A*24:02-B*51:01-C*16:02-DRB1*04:03-DQB1*03:02  India East UCBB 0.04162,403
 59  A*11:01-B*51:01-C*15:02-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.04104,856
 60  A*03:01-B*51:01-C*15:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.04012,492
 61  A*33:03-B*51:01-C*07:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.04012,492
 62  A*02:11-B*51:01-C*16:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.03945,829
 63  A*68:01-B*51:01-C*16:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.037511,446
 64  A*03:01-B*51:01-C*16:02-DRB1*04:03-DQB1*03:02  India Central UCBB 0.03474,204
 65  A*30:02-B*51:01-C*03:02-DRB1*04:03-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 66  A*31:01-B*51:01-C*04:01-DRB1*04:03-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 67  A*03:01-B*51:01-C*14:02-DRB1*04:03-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 68  A*32:01-B*51:01-C*15:02-DRB1*04:03-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 69  A*01:01-B*51:01-C*14:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.033211,446
 70  A*02:01:01:01-B*51:01:01-C*15:02:01:01-DRB1*04:03:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 71  A*02:01-B*51:01-C*15:02-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.03204,856
 72  A*03:01-B*51:01-C*16:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.031811,446
 73  A*68:01-B*51:01-C*14:02-DRB1*04:03-DQB1*03:02  India North UCBB 0.03175,849
 74  A*02:01-B*51:01-C*07:02-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.03104,856
 75  A*03:02-B*51:01-C*14:02-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.03104,856
 76  A*11:01-B*51:01-C*15:04-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.03104,856
 77  A*11:01-B*51:01-C*15:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.03055,829
 78  A*02:01-B*51:01-C*14:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*14:01  Japan pop 17 0.03003,078
 79  A*02:07-B*51:01-C*14:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 80  A*24:02-B*51:01-C*03:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 81  A*24:02-B*51:01-C*14:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 82  A*26:02-B*51:01-C*14:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 83  A*31:01-B*51:01-C*14:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 84  A*31:01-B*51:01-C*15:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 85  A*11:01-B*51:01-C*16:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.02965,829
 86  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*04:03:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 87  A*11:01:01-B*51:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 88  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*04:03:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 89  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 90  A*02:01-B*51:01-C*16:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02802,492
 91  A*01:01-B*51:01-C*15:02-DRB1*04:03-DQB1*03:02  India North UCBB 0.02695,849
 92  A*01:01-B*51:01-C*16:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02542,492
 93  A*01:01-B*51:01-C*14:02-DRB1*04:03-DQB1*03:02  India North UCBB 0.02465,849
 94  A*24:02-B*51:01-C*16:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.024011,446
 95  A*02:01-B*51:01-C*16:02-DRB1*04:03-DQB1*03:02  India Central UCBB 0.02384,204
 96  A*02:11-B*51:01-C*14:02-DRB1*04:03-DQB1*03:02  India North UCBB 0.02385,849
 97  A*11:01-B*51:01-C*15:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.022911,446
 98  A*31:01-B*51:01-C*14:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.021911,446
 99  A*11:01-B*51:01-C*14:02-DRB1*04:03-DQB1*03:02  India East UCBB 0.02112,403
 100  A*33:03-B*51:01-C*16:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.02115,829

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 203) records   Pages: 1 2 3 of 3  


   

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.
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