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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Displaying 1 to 97 (from 97) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*44-DRB1*04:03-DQB1*03:02  Spain Pas Valley 3.300088
 2  A*02-B*44-DRB1*04:03-DQB1*03:02  Spain North Cabuerniga 2.200095
 3  A*02-B*44-DRB1*04:03-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 4  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*04:03:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 5  A*03:01:01-B*44:03:02-C*07:06-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 6  A*02:01:01-B*44:03:02-C*07:29:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 7  A*02:01:01-B*44:03:02-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 8  A*02:11:01-B*44:02:01-C*05:01:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 9  A*02:11:01-B*44:03:02-C*07:06-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 10  A*33:03-B*44:03-C*07:06-DRB1*04:03-DQB1*03:02  India North UCBB 0.23155,849
 11  A*02:01-B*44:02-C*05:01-DRB1*04:03-DQB1*03:02  Colombia Bogotá Cord Blood 0.22311,463
 12  A*68:01:02-B*44:02:01-C*05:01:01-DRB1*04:03:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 13  A*33:03-B*44:03-C*07:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.1401714
 14  A*68:01:02-B*44:03:02-C*07:06-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 15  A*02:01-B*44:02-C*05:01-DRB1*04:03-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 16  A*33:03-B*44:03-C*07:01-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.13301,772
 17  A*33:03-B*44:03-C*07:06-DRB1*04:03-DQB1*03:02  India East UCBB 0.12602,403
 18  A*33:03-B*44:03-C*07:06-DRB1*04:03-DQB1*03:02  India South UCBB 0.118011,446
 19  A*33:03-B*44:03-C*07:06-DRB1*04:03-DQB1*03:02  India West UCBB 0.11205,829
 20  A*33:03-B*44:03-C*14:03-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.08901,772
 21  A*33:03-B*44:03-C*07:06-DRB1*04:03-DQB1*03:02  India Central UCBB 0.08694,204
 22  A*26-B*44-DRB1*04:03-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 23  A*68:01-B*44:03-C*07:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 24  A*33:03-B*44:03-C*07:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.06822,492
 25  A*29:02-B*44:03-C*16:01-DRB1*04:03-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 26  A*02:01-B*44:02-C*16:04-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.06022,492
 27  A*03:04-B*44:03-C*04:01-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Malay 0.0526951
 28  A*11:01-B*44:02-C*05:01-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 29  A*68:01-B*44:03-C*07:06-DRB1*04:03-DQB1*03:02  India East UCBB 0.04352,403
 30  A*31:06-B*44:02-C*15:02-DRB1*04:03-DQB1*03:02  India Central UCBB 0.03574,204
 31  A*31:01-B*44:02-C*05:01-DRB1*04:03-DQB1*03:02  India North UCBB 0.03425,849
 32  A*02:22-B*44:02-C*05:01-DRB1*04:03-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 33  A*24:02-B*44:03-C*04:01-DRB1*04:03-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 34  A*32:01-B*44:02-C*05:01-DRB1*04:03-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 35  A*11:01-B*44:02-C*05:01-DRB1*04:03-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 36  A*24:02-B*44:03-C*04:01-DRB1*04:03-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 37  A*26:01-B*44:02-C*05:01-DRB1*04:03-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 38  A*02:01-B*44:02-C*16:04-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.02904,856
 39  A*02:01-B*44:03-C*07:06-DRB1*04:03-DQB1*03:02  India North UCBB 0.02655,849
 40  A*68:01-B*44:03-C*07:06-DRB1*04:03-DQB1*03:02  India North UCBB 0.02625,849
 41  A*02:01-B*44:02-C*05:01-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.02604,856
 42  A*11:01-B*44:03-C*07:06-DRB1*04:03-DQB1*03:02  India Central UCBB 0.02544,204
 43  A*02:11-B*44:03-C*07:06-DRB1*04:03-DQB1*03:02  India North UCBB 0.02385,849
 44  A*02:01-B*44:03-C*07:01-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.02201,772
 45  A*02:03-B*44:03-C*07:06-DRB1*04:03-DQB1*03:02  India East UCBB 0.02102,403
 46  A*23:01-B*44:03-C*07:06-DRB1*04:03-DQB1*03:02  India East UCBB 0.02082,403
 47  A*31:01-B*44:02-C*05:01-DRB1*04:03-DQB1*03:02  India East UCBB 0.02082,403
 48  A*32:01-B*44:03-C*07:06-DRB1*04:03-DQB1*03:02  India East UCBB 0.02082,403
 49  A*24:02-B*44:03-C*07:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02012,492
 50  A*26:01-B*44:03-C*03:04-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02012,492
 51  A*32:01-B*44:02-C*05:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02012,492
 52  A*23:01-B*44:03-C*04:01-DRB1*04:03-DQB1*03:02  India West UCBB 0.01965,829
 53  A*01:01-B*44:03-C*07:06-DRB1*04:03-DQB1*03:02  India West UCBB 0.01815,829
 54  A*11:01-B*44:03-C*07:06-DRB1*04:03-DQB1*03:02  India South UCBB 0.013311,446
 55  A*03:01-B*44:02-C*05:01-DRB1*04:03-DQB1*03:02  India South UCBB 0.012211,446
 56  A*02:01-B*44:03-C*04:01-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 57  A*11:01-B*44:03-C*04:01-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 58  A*32:01-B*44:02-C*05:01-DRB1*04:03-DQB1*03:02  India Central UCBB 0.01194,204
 59  A*32:01-B*44:02-C*15:02-DRB1*04:03-DQB1*03:02  India Central UCBB 0.01194,204
 60  A*11:01-B*44:03-C*07:06-DRB1*04:03-DQB1*03:02  India West UCBB 0.01185,829
 61  A*02:01-B*44:05-C*07:01-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 62  A*11:01-B*44:02-C*08:02-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 63  A*24:02-B*44:05-C*02:02-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 64  A*24:02-B*44:29-C*05:01-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 65  A*32:01-B*44:02-C*02:02-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 66  A*69:01-B*44:02-C*16:04-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 67  A*24:02-B*44:02-C*05:01-DRB1*04:03-DQB1*03:02  India South UCBB 0.009411,446
 68  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.008823,595
 69  A*02:11-B*44:03-C*07:06-DRB1*04:03-DQB1*03:02  India West UCBB 0.00885,829
 70  A*23:01-B*44:03-C*04:01-DRB1*04:03-DQB1*03:02  India South UCBB 0.008711,446
 71  A*02:05-B*44:03-C*07:06-DRB1*04:03-DQB1*03:02  India West UCBB 0.00865,829
 72  A*31:01-B*44:02-C*05:01-DRB1*04:03-DQB1*03:02  India West UCBB 0.00865,829
 73  A*02:01-B*44:02-C*07:04-DRB1*04:03-DQB1*03:02  India North UCBB 0.00855,849
 74  A*02:01-B*44:02-C*05:01-DRB1*04:03-DQB1*03:02  India North UCBB 0.00845,849
 75  A*26:01-B*44:02-C*05:01-DRB1*04:03-DQB1*03:02  India South UCBB 0.008311,446
 76  A*26:01-B*44:03-C*07:06-DRB1*04:03-DQB1*03:02  India West UCBB 0.00835,829
 77  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.007623,595
 78  A*68:01-B*44:03-C*07:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.00682,492
 79  A*33:01-B*44:03-C*04:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.00672,492
 80  A*33:03-B*44:03-C*04:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.00672,492
 81  A*33:71-B*44:03-C*04:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.00672,492
 82  A*26:01-B*44:03-C*07:06-DRB1*04:03-DQB1*03:02  India South UCBB 0.004711,446
 83  A*01:01-B*44:02-C*05:01-DRB1*04:03-DQB1*03:02  India North UCBB 0.00445,849
 84  A*02:01-B*44:02-C*16:04-DRB1*04:03-DQB1*03:02  India South UCBB 0.004411,446
 85  A*02:03-B*44:03-C*07:06-DRB1*04:03-DQB1*03:02  India South UCBB 0.004411,446
 86  A*24:02-B*44:02-C*16:04-DRB1*04:03-DQB1*03:02  India South UCBB 0.004411,446
 87  A*33:03-B*44:03-C*14:03-DRB1*04:03-DQB1*03:02  India South UCBB 0.004411,446
 88  A*68:01-B*44:02-C*15:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.004411,446
 89  A*11:01-B*44:03-C*07:06-DRB1*04:03-DQB1*03:02  India North UCBB 0.00435,849
 90  A*03:01-B*44:03-C*07:06-DRB1*04:03-DQB1*03:02  India South UCBB 0.004211,446
 91  A*24:02-B*44:03-C*04:01-DRB1*04:03-DQB1*03:02  India South UCBB 0.003011,446
 92  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002723,595
 93  A*24:02:01-B*44:03:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002423,595
 94  A*01:01:01-B*44:02:01-C*05:01:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002223,595
 95  A*01:01:01-B*44:03:01-C*16:01:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002123,595
 96  A*02:06:01-B*44:03:01-C*05:01:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002123,595
 97  A*26:01:01-B*44:27:01-C*07:04:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002023,595

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).




   

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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