Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 103) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01-B*51:01-C*14:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Portugal Azores Terceira Island 0.8772130
 2  A*03:01:01-B*51:01:01-C*14:02:01-DRB1*07:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.6787221
 3  A*03:01:01-B*51:01:01-C*14:02:01-DRB1*07:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 4  A*03:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 5  B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 6  A*34:02-B*51:01-C*14:02-DRB1*07:01  Brazil Vale do Ribeira Quilombos 0.3472144
 7  A*68:01-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  Italy pop 5 0.2900975
 8  A*68:01:01-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 9  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*07:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 10  A*68:01-B*51:01-C*14:02-DRB1*07:01  Italy pop 5 0.2000975
 11  A*30:01:01-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 12  A*02:01-B*51:01-C*14:02-DRB1*07:01  Germany DKMS - Spain minority 0.18401,107
 13  A*02:01-B*51:01-C*14:02-DRB1*07:01  Germany DKMS - Portugal minority 0.17001,176
 14  A*03:01-B*51:01-C*14:02-DRB1*07:01-DQB1*03:01  India Northeast UCBB 0.1689296
 15  A*02:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.14001,999
 16  A*02:01-B*51:01-C*14:02-DRB1*07:01  Germany DKMS - Croatia minority 0.11802,057
 17  A*24:02-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  USA Asian pop 2 0.08901,772
 18  A*02:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.06704,856
 19  A*24:02-B*51:01-C*14:02-DRB1*07:01-DQB1*02:01-DPB1*06:01  Russia Karelia 0.05651,075
 20  A*24:02-B*51:01-C*14:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.05651,075
 21  A*01:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:01  Malaysia Peninsular Malay 0.0526951
 22  A*33:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.0526951
 23  A*01:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 24  A*01:01-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.045011,446
 25  A*24:02-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.04162,403
 26  A*02:06-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.03925,829
 27  A*11:01-B*51:01-C*14:02-DRB1*07:01  Germany DKMS - Netherlands minority 0.03601,374
 28  A*68:01-B*51:01-C*14:02-DRB1*07:01  Germany DKMS - France minority 0.03601,406
 29  A*23:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 30  A*02:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 31  A*03:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 32  A*11:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 33  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 34  A*30:04:01-B*51:01:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 35  A*02:01-B*51:01-C*14:02-DRB1*07:01  Germany DKMS - Greece minority 0.03201,894
 36  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 37  A*11:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.02832,492
 38  A*31:01-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.026311,446
 39  A*31:01-B*51:01-C*14:02-DRB1*07:01  Germany DKMS - Greece minority 0.02601,894
 40  A*02:11-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.02575,829
 41  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.025123,595
 42  A*11:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.02415,849
 43  A*24:02-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.02384,204
 44  A*68:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.022811,446
 45  A*24:02-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  India East UCBB 0.02212,403
 46  A*02:17-B*51:01-C*14:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02204,856
 47  A*01:01-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.02192,492
 48  A*24:02-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.02175,829
 49  A*02:01-B*51:01-C*14:02-DRB1*07:01  Poland DKMS 0.021420,653
 50  A*02:01-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  Germany DKMS - Turkey minority 0.02104,856
 51  A*02:01-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  India East UCBB 0.02082,403
 52  A*02:03-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.02082,403
 53  A*03:01-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  India East UCBB 0.02082,403
 54  A*03:02-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  India East UCBB 0.02082,403
 55  A*31:01-B*51:01-C*14:02-DRB1*07:01-DQB1*04:01  India East UCBB 0.02082,403
 56  A*11:01-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.020511,446
 57  A*31:01-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.02022,492
 58  A*02:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.02012,492
 59  A*02:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.01715,849
 60  A*03:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.013511,446
 61  A*02:01-B*51:01-C*14:02-DRB1*07:01  Hong Kong Chinese BMDR 0.01287,595
 62  A*68:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01254,204
 63  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.012523,595
 64  A*03:01-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  India Central UCBB 0.01194,204
 65  A*26:01-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  India Central UCBB 0.01194,204
 66  A*26:01-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.011611,446
 67  A*11:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.011311,446
 68  A*02:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.01115,829
 69  A*33:03-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  India West UCBB 0.01045,829
 70  A*02:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01004,204
 71  A*24:02-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  India West UCBB 0.01005,829
 72  A*02:06:01-B*51:01:01-C*14:02:01-DRB1*07:01:01-DPB1*104:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00945,266
 73  A*02:11-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.009411,446
 74  A*26:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.00875,829
 75  A*02:01-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  India West UCBB 0.00865,829
 76  A*02:821-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 77  A*03:01-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.008611,446
 78  A*68:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 79  A*26:01-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  India North UCBB 0.00795,849
 80  A*68:01-B*51:01-C*14:02-DRB1*07:01  Poland DKMS 0.007920,653
 81  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.007523,595
 82  A*01:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.007411,446
 83  A*01:01-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  India West UCBB 0.00695,829
 84  A*03:01:01-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.006723,595
 85  A*02:11-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.005411,446
 86  A*02:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.005211,446
 87  A*02:01-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.005211,446
 88  A*02:06-B*51:01-C*14:02-DRB1*07:01  Hong Kong Chinese BMDR 0.00517,595
 89  A*02:17-B*51:01-C*14:02-DRB1*07:01  Poland DKMS 0.004820,653
 90  A*02:131-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 91  A*30:01-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.004411,446
 92  A*02:11-B*51:01-C*14:02-DRB1*07:01-DQB1*03:02  India South UCBB 0.004311,446
 93  A*24:02-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.004111,446
 94  A*31:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.00265,849
 95  A*02:56-B*51:01-C*14:02-DRB1*07:01  Poland DKMS 0.002420,653
 96  A*11:01-B*51:01-C*14:02-DRB1*07:01  Poland DKMS 0.002420,653
 97  A*30:01-B*51:01-C*14:02-DRB1*07:01  Poland DKMS 0.002420,653
 98  A*29:02:01-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 99  A*02:05:01-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 100  A*02:17:02-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01  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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