Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 103) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*68-B*35-DRB1*10:01-DQB1*05:01  Colombia San Basilio de Palenque 3.571042
 2  A*30:01-B*35:01-C*03:02-DRB1*10:01-DQB1*05:01  Iran Gorgan 0.780064
 3  A*03:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  Italy pop 5 0.4400975
 4  A*02:01-B*35:27-C*07:01-E*01:03:01-F*01:01:01-G*01:06-DRB1*10:01-DQA1*01:05-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 5  A*03-B*35-DRB1*10:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.3120641
 6  A*29:01:01-B*35:01:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 7  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 8  A*23:01:01-B*35:01:01-C*07:01:01-DRB1*10:01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 9  A*01:01-B*35:01-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.2101714
 10  A*01:01-B*35:05-C*04:01-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 11  A*02:11-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 12  A*11:01-B*35:01-DRB1*10:01-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 13  A*11:01-B*35:03-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 14  A*33:03-B*35:03-C*12:03-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  Sri Lanka Colombo 0.1401714
 15  A*11:01:01-B*35:03:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 16  A*32:01-B*35:01-C*12:03-DRB1*10:01-DQB1*05:01  Italy pop 5 0.1400975
 17  A*03:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.13102,411
 18  A*31:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.11922,492
 19  A*24:02-B*35:03-C*12:03-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 0.09784,204
 20  A*33:03-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.08702,411
 21  A*02:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  Germany DKMS - Italy minority 0.08601,159
 22  A*03:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.08092,492
 23  A*03:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.07904,856
 24  A*68-B*35-DRB1*10:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 25  A*11:01-B*35:01-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  Sri Lanka Colombo 0.0700714
 26  A*24:02-B*35:03-C*07:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  Sri Lanka Colombo 0.0700714
 27  A*24:02-B*35:03-C*12:03-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*14:01  Sri Lanka Colombo 0.0700714
 28  A*31:01-B*35:03-C*12:03-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  Sri Lanka Colombo 0.0700714
 29  A*33:03-B*35:01-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 30  A*02:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.06841,463
 31  A*24:02-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.06562,492
 32  A*01:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.06432,492
 33  A*11:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 0.06414,204
 34  A*24:02-B*35:02-C*04:01-DRB1*10:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.05651,075
 35  A*02:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.04812,492
 36  A*23:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 37  A*24:02-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.04402,411
 38  A*24:02-B*35:03-C*12:03-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 39  A*11:01-B*35:08-C*04:01-DRB1*10:01-DQB1*05:01  Germany DKMS - Italy minority 0.04301,159
 40  A*32:01-B*35:08-C*04:01-DRB1*10:01-DQB1*05:01  Germany DKMS - Italy minority 0.04301,159
 41  A*02:11-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.04232,492
 42  A*24:02-B*35:03-C*12:03-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.04162,492
 43  A*01:01-B*35:01-C*15:05-DRB1*10:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 44  A*24:02-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 45  A*24:02-B*35:43-C*01:02-DRB1*10:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 46  A*30:02-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 47  A*31:01-B*35:30-C*03:04-DRB1*10:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 48  A*24:02-B*35:08-C*04:01-DRB1*10:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 49  A*11:01:01:01-B*35:01:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 50  A*11:01:01:01-B*35:03:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 51  A*01:01-B*35:08-C*04:01-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.03104,856
 52  A*11:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.03104,856
 53  A*32:01-B*35:08-C*04:01-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.03104,856
 54  A*01:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 0.03014,204
 55  A*03:01:01-B*35:01:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 56  A*24:02-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 0.02574,204
 57  A*03:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 0.02524,204
 58  A*02:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02522,492
 59  A*01:01-B*35:08-C*04:01-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 0.02384,204
 60  A*02:06-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 0.02384,204
 61  A*01:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 0.02374,204
 62  A*01:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02292,492
 63  A*02:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 0.02214,204
 64  A*24:02-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 0.02164,204
 65  A*02:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.02104,856
 66  A*68:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.02104,856
 67  A*11:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02082,492
 68  A*01:01-B*35:03-C*14:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 69  A*02:11-B*35:03-C*12:03-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 70  A*26:01-B*35:03-C*07:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 71  A*29:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 72  A*33:03-B*35:03-C*07:01-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 73  A*31:01-B*35:08-C*04:01-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01504,856
 74  A*03:02-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 0.01314,204
 75  A*11:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 0.01314,204
 76  A*01:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01304,856
 77  A*31:01-B*35:03-C*12:03-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 0.01254,204
 78  A*02:06-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 0.01204,204
 79  A*02:01-B*35:03-C*12:03-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 0.01194,204
 80  A*24:07-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 0.01194,204
 81  A*26:01-B*35:03-C*12:03-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 0.01194,204
 82  A*32:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 0.01124,204
 83  A*02:01-B*35:01-C*16:01-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.01102,411
 84  A*32:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01104,856
 85  A*68:02-B*35:01-C*16:01-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.01102,411
 86  A*24:02:01-B*35:08:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.006423,595
 87  A*32:01:01-B*35:01:01-C*15:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.006423,595
 88  A*02:01:01-B*35:03:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.005323,595
 89  A*01:01:01-B*35:08:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.005223,595
 90  A*11:01:01-B*35:03:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.004523,595
 91  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.004323,595
 92  A*03:01:01-B*35:08:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.003323,595
 93  A*01:01:01-B*35:01:01-C*15:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002723,595
 94  A*01:01:01-B*35:03:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002223,595
 95  A*30:01:01-B*35:01:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 96  A*30:01:01-B*35:03:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 97  A*68:01:01-B*35:02:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 98  A*32:01:01-B*35:08:01-C*03:03:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 99  A*68:01:02-B*35:08:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 100  A*26:01:01-B*35:02:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595

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 103) 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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