Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 95 (from 95) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*12:02-DQB1*05:04  Philippines 1.000034
 2  DRB1*15:02-DQB1*05:04  Philippines 1.000034
 3  A*26-B*49-DRB1*01-DQA1*01:02-DQB1*05:04  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.8600112
 4  A*02-B*18-DRB1*16-DQA1*01:02-DQB1*05:04  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 5  A*68:01-B*58:02-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*05:04-DPB1*04:01  South Africa Worcester 0.3000159
 6  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*13:02:01-DQB1*05:04  India Karnataka Kannada Speaking 0.2870174
 7  A*02:01:01:01-B*13:02:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  Russia Bashkortostan, Tatars 0.2604192
 8  A*02:01:01:01-B*51:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:04  Russia Bashkortostan, Tatars 0.2604192
 9  A*24:02:01:01-B*49:01:01-C*08:03:01-DRB1*01:01:01-DQB1*05:04  Russia Bashkortostan, Tatars 0.2604192
 10  A*26:01-B*49:01-C*07:01-DRB1*01:01:01-DQB1*05:04  England North West 0.2000298
 11  A*26:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  Russia Nizhny Novgorod, Russians 0.13251,510
 12  A*26:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.123923,595
 13  DRB1*01:01:01-DQB1*05:04-DPB1*03:01:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 14  A*33:03-B*49:01-C*07:01-DRB1*13:01-DQA1*01:03-DQB1*05:04-DPB1*26:01  Sri Lanka Colombo 0.0700714
 15  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  China Zhejiang Han 0.05771,734
 16  A*31:01-B*35:02-C*04:01-DRB1*01:01-DQB1*05:04-DPB1*03:01  Russia Karelia 0.05651,075
 17  A*31:01-B*55:01-C*01:02-DRB1*01:01-DQB1*05:04-DPB1*13:01  Russia Karelia 0.05651,075
 18  A*02:01-B*49:01-C*07:01-DRB1*01:01-DQB1*05:04-DPB1*02:01  Russia Karelia 0.05641,075
 19  A*24:02-B*39:01-C*07:02-DRB1*01:01-DQB1*05:04-DPB1*02:01  Russia Karelia 0.05641,075
 20  A*23:01-B*49:01-C*07:01-DRB1*01:01-DQB1*05:04-DPB1*03:01  Russia Karelia 0.05601,075
 21  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.048523,595
 22  A*11:01-B*58:01-C*07:01-DRB1*01:01-DQB1*05:04  USA Hispanic pop 2 0.04701,999
 23  DRB1*01:01-DQB1*05:04  USA Hispanic pop 2 0.04601,999
 24  A*02:05-B*15:01-C*03:03-DRB1*01:01-DQB1*05:04  Germany DKMS - Italy minority 0.04301,159
 25  A*26:01-B*49:01-C*07:01-DRB1*01:01-DQB1*05:04  India Tamil Nadu 0.04012,492
 26  A*01:01-B*49:01-C*07:01-DRB1*01:01-DQB1*05:04  Colombia Bogotá Cord Blood 0.03421,463
 27  A*02:01-B*49:01-C*07:01-DRB1*01:01-DQB1*05:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 28  A*26:01-B*49:01-C*07:01-DRB1*01:01-DQB1*05:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 29  A*36:01-B*45:01-C*16:01-DRB1*01:01-DQB1*05:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 30  A*02:06:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*05:04  Russia Nizhny Novgorod, Russians 0.03311,510
 31  A*03:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*01:01:01-DQB1*05:04  Russia Nizhny Novgorod, Russians 0.03311,510
 32  A*25:01:01-B*49:01:01-C*07:04:01-DRB1*01:01:01-DQB1*05:04  Russia Nizhny Novgorod, Russians 0.03311,510
 33  A*31:01:02:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  Russia Nizhny Novgorod, Russians 0.03311,510
 34  A*26:01-B*49:01-C*07:01-DRB1*01:01-DQB1*05:04-DPB1*03:01  Germany DKMS - German donors 0.03093,456,066
 35  A*02:03-B*49:01-C*07:01-DRB1*01:01-DQB1*05:04  India Tamil Nadu 0.02012,492
 36  A*23:01-B*49:01-C*07:01-DRB1*01:01-DQB1*05:04  India Tamil Nadu 0.02012,492
 37  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.016523,595
 38  A*23:01-B*49:01-C*07:01-DRB1*01:01-DQB1*05:04-DPB1*03:01  Germany DKMS - German donors 0.01383,456,066
 39  A*03:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.011123,595
 40  A*26:01-B*49:01-C*07:01-DRB1*01:01-DQB1*05:04-DPB1*04:01  Germany DKMS - German donors 0.01013,456,066
 41  A*03:01-B*49:01-C*07:01-DRB1*01:01-DQB1*05:04  Germany DKMS - Turkey minority 0.01004,856
 42  A*03:02-B*35:01-C*04:01-DRB1*01:01-DQB1*05:04  Germany DKMS - Turkey minority 0.01004,856
 43  A*23:01-B*49:01-C*07:01-DRB1*01:01-DQB1*05:04  Germany DKMS - Turkey minority 0.01004,856
 44  A*26:01-B*49:01-C*07:01-DRB1*11:03-DQB1*05:04  Germany DKMS - Turkey minority 0.01004,856
 45  A*33:03-B*49:01-C*07:02-DRB1*01:01-DQB1*05:04  Germany DKMS - Turkey minority 0.01004,856
 46  A*68:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:04  Germany DKMS - Turkey minority 0.01004,856
 47  A*68:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:04  Germany DKMS - Turkey minority 0.01004,856
 48  A*01:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.008723,595
 49  A*31:01:02-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.007823,595
 50  A*24:02-B*40:06-C*01:02-DRB1*01:01-DQB1*05:04  India Tamil Nadu 0.00672,492
 51  A*30:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.004323,595
 52  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.004223,595
 53  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*04:01:01-DQB1*05:04  Poland BMR 0.004223,595
 54  A*26:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:04  India Tamil Nadu 0.00342,492
 55  A*26:01-B*07:05-C*07:02-DRB1*01:01-DQB1*05:04  India Tamil Nadu 0.00342,492
 56  A*31:01-B*15:18-C*04:01-DRB1*01:01-DQB1*05:04  India Tamil Nadu 0.00242,492
 57  A*31:12-B*15:18-C*04:01-DRB1*01:01-DQB1*05:04  India Tamil Nadu 0.00242,492
 58  A*24:02:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.002323,595
 59  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.002123,595
 60  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.002123,595
 61  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.002123,595
 62  A*02:01:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQB1*05:04  Poland BMR 0.002123,595
 63  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*05:04  Poland BMR 0.002123,595
 64  A*01:01:01-B*53:01:01-C*07:257:01-DRB1*11:01:01-DQB1*05:04  Poland BMR 0.002123,595
 65  A*02:06:01-B*35:02:01-C*04:01:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.002123,595
 66  A*11:01:01-B*15:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.002123,595
 67  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*04:07:01-DQB1*05:04  Poland BMR 0.002123,595
 68  A*11:01:01-B*56:01:01-C*01:02:01-DRB1*11:01:01-DQB1*05:04  Poland BMR 0.002123,595
 69  A*23:01:01-B*57:01:01-C*06:02:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.002123,595
 70  A*26:01:01-B*49:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.002123,595
 71  A*30:01:01-B*35:08:01-C*04:01:01-DRB1*04:04:01-DQB1*05:04  Poland BMR 0.002123,595
 72  A*31:01:02-B*18:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.002123,595
 73  A*32:01:01-B*47:01:01-C*06:02:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.002123,595
 74  A*33:03:01-B*35:08:01-C*04:01:01-DRB1*13:03:01-DQB1*05:04  Poland BMR 0.002123,595
 75  A*68:02:01-B*08:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.002123,595
 76  A*25:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.001523,595
 77  A*26:01-B*08:01-C*07:02-DRB1*01:01-DQB1*05:04  India Tamil Nadu 0.00122,492
 78  A*11:01:01-B*18:03-C*07:01:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.001123,595
 79  A*33:03-B*44:03-C*07:01-DRB1*01:01-DQB1*05:04  India Tamil Nadu 0.00030602,492
 80  A*24:02-B*40:06-C*12:02-DRB1*01:01-DQB1*05:04  India Tamil Nadu 0.00011202,492
 81  A*24:02-B*40:01-C*12:03-DRB1*01:01-DQB1*05:04  India Tamil Nadu 0.00002602,492
 82  A*24:02-B*40:06-C*12:04-DRB1*01:01-DQB1*05:04  India Tamil Nadu 0.00002602,492
 83  A*24:03-B*40:01-C*12:03-DRB1*01:01-DQB1*05:04  India Tamil Nadu 0.00002602,492
 84  A*31:01-B*55:01-C*15:02-DRB1*01:01-DQB1*05:04  India Tamil Nadu 0.00000002,492
 85  A*31:01-B*55:01-C*15:05-DRB1*01:01-DQB1*05:04  India Tamil Nadu 0.00000002,492
 86  A*31:01-B*55:01-C*15:07-DRB1*01:01-DQB1*05:04  India Tamil Nadu 0.00000002,492
 87  A*31:01-B*55:02-C*15:02-DRB1*01:01-DQB1*05:04  India Tamil Nadu 0.00000002,492
 88  A*31:01-B*55:02-C*15:05-DRB1*01:01-DQB1*05:04  India Tamil Nadu 0.00000002,492
 89  A*31:01-B*55:02-C*15:07-DRB1*01:01-DQB1*05:04  India Tamil Nadu 0.00000002,492
 90  A*31:12-B*55:01-C*15:02-DRB1*01:01-DQB1*05:04  India Tamil Nadu 0.00000002,492
 91  A*31:12-B*55:01-C*15:05-DRB1*01:01-DQB1*05:04  India Tamil Nadu 0.00000002,492
 92  A*31:12-B*55:01-C*15:07-DRB1*01:01-DQB1*05:04  India Tamil Nadu 0.00000002,492
 93  A*31:12-B*55:02-C*15:02-DRB1*01:01-DQB1*05:04  India Tamil Nadu 0.00000002,492
 94  A*31:12-B*55:02-C*15:05-DRB1*01:01-DQB1*05:04  India Tamil Nadu 0.00000002,492
 95  A*31:12-B*55:02-C*15:07-DRB1*01:01-DQB1*05:04  India Tamil Nadu 0.00000002,492

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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