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 83 (from 83) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01-DPA1*01:03:05-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 2  A*31:01-B*27:05-C*02:02-E*01:03:01-F*01:01:01-G*01:01-DRB1*04:04-DQA1*03:01-DQB1*03:02  Portugal Azores Terceira Island 0.4386130
 3  A*02:01:01-B*27:05:03-C*02:02:02-DRB1*04:04:01-DQA1*03:01:01-DQB1*03:02-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 4  A*02:131-B*27:05:02-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 5  A*33:01-B*27:05-C*02:02-DRB1*04:04-DQA1*01:01-DQB1*03:02-DPB1*04:01  USA San Diego 0.2600496
 6  A*11:01-B*27:05-C*02:02:02-DRB1*04:04-DQB1*03:02:01  England North West 0.2000298
 7  A*02:01:01-B*27:05:03-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.158823,595
 8  A*01:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India West UCBB 0.15375,829
 9  A*01:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India East UCBB 0.14922,403
 10  A*01:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India North UCBB 0.12745,849
 11  A*02:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02-DPB1*04:01  Russia Karelia 0.12291,075
 12  A*03:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India Central UCBB 0.10124,204
 13  A*02:01:01-B*27:05:02-C*02:02:02-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.09931,510
 14  A*11:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.09401,999
 15  A*26:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India North UCBB 0.07535,849
 16  A*11:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 17  A*29:02-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 18  A*02:01:01:01-B*27:05:03-C*02:02:02-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.06621,510
 19  A*03:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India North UCBB 0.06155,849
 20  A*68:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India East UCBB 0.06142,403
 21  A*26:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India Central UCBB 0.06134,204
 22  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.05771,734
 23  A*32:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02-DPB1*02:01  Russia Karelia 0.05651,075
 24  A*26:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02-DPB1*05:01  Russia Karelia 0.05651,075
 25  A*02:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.05604,856
 26  A*26:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India West UCBB 0.05185,829
 27  A*01:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India Central UCBB 0.05134,204
 28  A*24:02-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.04904,856
 29  A*68:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India North UCBB 0.04875,849
 30  A*11:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  USA Asian pop 2 0.04401,772
 31  A*02:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 32  A*02:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.04173,456,066
 33  A*26:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India East UCBB 0.04162,403
 34  A*24:02-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India East UCBB 0.03812,403
 35  A*26:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India South UCBB 0.036111,446
 36  A*02:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 37  A*24:02-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 38  A*03:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India West UCBB 0.03155,829
 39  A*68:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India Central UCBB 0.02994,204
 40  A*11:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India Central UCBB 0.02954,204
 41  A*01:01:01-B*27:05:02-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 42  A*24:02:01-B*27:05:02-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 43  A*11:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.02704,856
 44  A*31:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India West UCBB 0.02575,829
 45  A*11:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India North UCBB 0.02565,849
 46  A*03:02-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India Central UCBB 0.02384,204
 47  A*32:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India Central UCBB 0.02324,204
 48  A*01:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India South UCBB 0.022211,446
 49  A*26:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  USA Asian pop 2 0.02201,772
 50  A*02:11-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India East UCBB 0.02182,403
 51  A*24:02-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India South UCBB 0.021811,446
 52  A*02:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India East UCBB 0.02082,403
 53  A*32:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India East UCBB 0.02082,403
 54  A*33:03-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.02012,492
 55  A*02:01:01-B*27:05:02-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.019423,595
 56  A*68:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India West UCBB 0.01875,829
 57  A*03:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.01804,856
 58  A*03:02-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India West UCBB 0.01745,829
 59  A*02:11-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India West UCBB 0.01725,829
 60  A*31:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India North UCBB 0.01605,849
 61  A*03:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India South UCBB 0.013111,446
 62  A*26:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02-DPB1*02:01  Germany DKMS - German donors 0.01233,456,066
 63  A*02:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India Central UCBB 0.01194,204
 64  A*30:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India Central UCBB 0.01194,204
 65  A*31:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India Central UCBB 0.01194,204
 66  A*33:03-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India Central UCBB 0.01194,204
 67  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.011423,595
 68  A*24:07-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India North UCBB 0.01075,849
 69  A*03:01:01-B*27:05:03-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.010523,595
 70  A*31:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 71  A*33:03-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India West UCBB 0.01005,829
 72  A*32:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India North UCBB 0.00975,849
 73  A*02:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India South UCBB 0.008711,446
 74  A*23:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India West UCBB 0.00865,829
 75  A*30:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India North UCBB 0.00865,849
 76  A*01:01:01-B*27:05:02-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.008323,595
 77  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.005223,595
 78  A*24:02:01-B*27:05:02-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.004023,595
 79  A*68:01-B*27:05-C*02:02-DRB1*04:04-DQB1*03:02  India South UCBB 0.002311,446
 80  A*68:01:02-B*27:05:03-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002223,595
 81  A*02:05:01-B*27:05:03-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002123,595
 82  A*74:03-B*27:05:03-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002123,595
 83  A*68:01:02-B*27:05:02-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.001823,595

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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