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 88 (from 88) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQA1*03:03:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*03:01:01  Russian Federation Vologda Region 0.4202119
 2  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*07:01  Costa Rica Amerindians (G) 0.4032125
 3  A*25:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.33661,075
 4  A*02:01-B*18:01-C*12:03-DRB1*07:01:01-DQB1*02:01  England North West 0.2000298
 5  A*25:01-B*18:01-C*12:03-DRB1*07:01  Poland DKMS 0.185220,653
 6  A*25:01:01-B*18:01:01-C*12:03:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.16661,510
 7  A*25:01:01-B*18:01:01-C*12:03:01:01-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.13251,510
 8  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.129823,595
 9  A*25:01-B*18:01-C*12:03-DRB1*07:01  Germany DKMS - Greece minority 0.10601,894
 10  A*25:01-B*18:01-C*12:03-DRB1*07:01-DQB1*03:03-DPB1*04:01  Russia Karelia 0.10051,075
 11  A*01:01-B*18:01-C*12:03-DRB1*07:01  Italy pop 5 0.1000975
 12  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.088323,595
 13  A*03:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India Central UCBB 0.08614,204
 14  A*25:01-B*18:01-C*12:03-DRB1*07:01  Germany DKMS - Spain minority 0.07401,107
 15  A*03:01-B*18:01-C*12:03-DRB1*07:01  Germany DKMS - Croatia minority 0.07302,057
 16  A*25:01-B*18:01-C*12:03-DRB1*07:01  Germany DKMS - United Kingdom minority 0.07101,043
 17  A*24:02-B*18:01-C*12:03-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 18  A*25:01-B*18:01-C*12:03-DRB1*07:01  Germany DKMS - Austria minority 0.05901,698
 19  A*25:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:01-DPB1*10:01  Russia Karelia 0.05651,075
 20  A*24:02-B*18:01-C*12:03-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.05304,856
 21  A*25:01-B*18:01-C*12:03-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 0.05101,028
 22  A*03:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India North UCBB 0.04925,849
 23  A*02:01-B*18:01-C*12:03-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 24  A*02:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 25  A*32:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 26  A*33:03-B*18:01-C*12:03-DRB1*07:01-DQB1*03:03  USA Hispanic pop 2 0.04701,999
 27  A*29:02-B*18:01-C*12:03-DRB1*07:01  Germany DKMS - Spain minority 0.04501,107
 28  A*03:01-B*18:01-C*12:03-DRB1*07:01  Germany DKMS - Portugal minority 0.04301,176
 29  A*26:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 30  A*11:01-B*18:01-C*12:03-DRB1*07:01  Germany DKMS - Romania minority 0.04101,234
 31  A*25:01-B*18:01-C*12:03-DRB1*07:01  Germany DKMS - Netherlands minority 0.03601,374
 32  A*02:01:01:01-B*18:01:01-C*12:03:01:01-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03471,510
 33  A*24:02-B*18:01-C*12:03-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 34  A*25:01-B*18:01-C*12:03-DRB1*07:01-DQB1*03:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 35  A*33:03-B*18:01-C*12:03-DRB1*07:01-DQB1*03:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 36  A*24:02:01:01-B*18:01:01-C*12:03:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 37  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 38  A*24:02-B*18:01-C*12:03-DRB1*07:01-DQB1*03:03  India North UCBB 0.02565,849
 39  A*11:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India Central UCBB 0.02494,204
 40  A*23:01-B*18:01-C*12:03-DRB1*07:01  Germany DKMS - Croatia minority 0.02402,057
 41  A*02:01-B*18:01-C*12:03-DRB1*07:01-DQB1*03:03  Germany DKMS - Turkey minority 0.02204,856
 42  A*11:01-B*18:01-C*12:03-DRB1*07:01-DQB1*03:03  India South UCBB 0.021111,446
 43  A*24:07-B*18:01-C*12:03-DRB1*07:01-DQB1*03:03  India East UCBB 0.02082,403
 44  A*24:02-B*18:01-C*12:03-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.02012,492
 45  A*11:01-B*18:01-C*12:03-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.02012,492
 46  A*03:01-B*18:01-C*12:03-DRB1*07:01  Poland DKMS 0.015520,653
 47  A*03:01:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.013323,595
 48  A*25:01-B*18:01-C*12:03-DRB1*07:01-DQB1*03:03-DPB1*04:01  Germany DKMS - German donors 0.01263,456,066
 49  A*24:03-B*18:01-C*12:03-DRB1*07:01-DQB1*03:03  India Central UCBB 0.01234,204
 50  A*03:01-B*18:01-C*12:03-DRB1*07:01-DQB1*03:03  India Central UCBB 0.01194,204
 51  A*33:03-B*18:01-C*12:03-DRB1*07:01-DQB1*03:03  India Central UCBB 0.01194,204
 52  A*31:01-B*18:01-C*12:03-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.01002,492
 53  A*01:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India West UCBB 0.01005,829
 54  A*26:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 55  A*29:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 56  A*02:01-B*18:01-C*12:03-DRB1*07:01  Poland DKMS 0.009220,653
 57  A*68:01-B*18:01-C*12:03-DRB1*07:01  Poland DKMS 0.009020,653
 58  A*03:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India West UCBB 0.00875,829
 59  A*33:03-B*18:01-C*12:03-DRB1*07:01-DQB1*03:03  India West UCBB 0.00865,829
 60  A*03:01-B*18:01-C*12:03-DRB1*07:01-DQB1*03:03  India North UCBB 0.00855,849
 61  A*03:02-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 62  A*31:12-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 63  A*32:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 64  A*33:03-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 65  A*69:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 66  A*68:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India North UCBB 0.00725,849
 67  A*11:01:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.005923,595
 68  A*24:02-B*18:01-C*12:03-DRB1*07:01-DQB1*03:03  India South UCBB 0.005711,446
 69  A*26:01:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.005423,595
 70  A*01:01-B*18:01-C*12:03-DRB1*07:01  Poland DKMS 0.005020,653
 71  A*30:01-B*18:01-C*12:03-DRB1*07:01  Poland DKMS 0.004520,653
 72  A*02:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 73  A*02:06-B*18:01-C*12:03-DRB1*07:01-DQB1*03:03  India South UCBB 0.004411,446
 74  A*31:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 75  A*02:01:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.004323,595
 76  A*03:01-B*18:01-C*12:03-DRB1*07:01-DQB1*03:03  India South UCBB 0.004311,446
 77  A*68:01:02-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.003723,595
 78  A*29:02:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.003023,595
 79  A*26:01-B*18:01-C*12:03-DRB1*07:01  Poland DKMS 0.002820,653
 80  A*24:03-B*18:01-C*12:03-DRB1*07:01  Poland DKMS 0.002520,653
 81  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002223,595
 82  A*32:01:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002223,595
 83  A*29:01:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 84  A*68:01:02-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 85  A*24:02:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 86  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 87  A*11:01:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.001423,595
 88  A*24:02-B*18:01-C*12:03-DRB1*07:01  Poland DKMS 0.000800020,653

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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