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 100 (from 113) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*03:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India North UCBB 1.12205,849
 2  A*24:02-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Italy pop 5 0.8800975
 3  A*03:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India Central UCBB 0.83284,204
 4  A*24:02-B*18:01-C*12:03-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP Middle Eastern or North Coast of Africa 0.655570,890
 5  A*24:02-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.56204,856
 6  A*03:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India East UCBB 0.56042,403
 7  A*24:02-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.55601,159
 8  A*24:03-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India North UCBB 0.50395,849
 9  A*02:01:01-B*18:01:01-C*12:03:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*104:01  Russian Federation Vologda Region 0.4202119
 10  A*02:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.38201,159
 11  A*24:03-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India Central UCBB 0.38024,204
 12  A*01:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.35101,159
 13  A*24:02:01-B*18:01:01-C*12:03:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 14  A*03:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India West UCBB 0.32555,829
 15  A*24:03-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India West UCBB 0.30385,829
 16  A*24:02-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India West UCBB 0.24925,829
 17  A*24:02-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India North UCBB 0.22635,849
 18  A*03:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.21604,856
 19  A*68:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India North UCBB 0.20715,849
 20  A*02:05:01-B*18:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 21  A*24:02-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  USA NMDP American Indian South or Central America 0.17175,926
 22  A*11:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India Northeast UCBB 0.1689296
 23  A*68:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India Central UCBB 0.14764,204
 24  A*68:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India West UCBB 0.14035,829
 25  A*02:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 26  A*24:02-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 27  A*02:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Colombia Bogotá Cord Blood 0.13551,463
 28  A*24:02:01-B*18:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.114423,595
 29  A*02:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.11304,856
 30  A*11:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India Central UCBB 0.11134,204
 31  A*24:02-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Colombia Bogotá Cord Blood 0.10371,463
 32  A*11:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India North UCBB 0.10185,849
 33  A*26:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.09904,856
 34  A*26:01:01-B*18:01:01-C*12:03:01:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.09681,510
 35  A*11:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 36  A*24:02-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 37  A*32:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.09301,159
 38  A*24:03-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  USA Asian pop 2 0.08901,772
 39  A*24:03-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.08601,159
 40  A*24:02-B*18:01-C*12:03-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP Hispanic South or Central American 0.0831146,714
 41  A*01:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.08004,856
 42  A*24:02-B*18:01-C*12:03-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP Mexican or Chicano 0.0727261,235
 43  A*11:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Colombia Bogotá Cord Blood 0.06841,463
 44  A*24:02-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India East UCBB 0.06372,403
 45  A*24:02-B*18:01-C*12:03-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP European Caucasian 0.06201,242,890
 46  A*03:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India South UCBB 0.056211,446
 47  A*24:02-B*18:01-C*12:03-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP South Asian Indian 0.0536185,391
 48  A*68:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.04804,856
 49  A*24:03-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India East UCBB 0.04162,403
 50  A*24:02-B*18:01-C*12:03-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP Caribean Hispanic 0.0385115,374
 51  A*02:01:01:01-B*18:01:01-C*12:03:01:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03621,510
 52  A*33:03-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India North UCBB 0.03515,849
 53  A*01:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 54  A*25:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 55  A*01:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 56  A*03:02-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 57  A*24:03-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 58  A*32:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 59  A*32:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.03404,856
 60  A*33:03-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 61  A*68:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 62  A*25:01:01-B*18:01:01-C*12:03:01:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03361,510
 63  A*24:02:01-B*18:01:01-C*12:03:01:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 64  A*25:01:01-B*18:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 65  A*68:01:01:02-B*18:01:01-C*12:03:01:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03261,510
 66  A*24:03-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India South UCBB 0.030611,446
 67  A*03:02-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.03004,856
 68  A*30:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India North UCBB 0.02565,849
 69  A*33:03-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.02404,856
 70  A*24:02-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.02353,456,066
 71  A*32:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India North UCBB 0.02315,849
 72  A*02:01:01-B*18:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.022723,595
 73  A*24:07-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India East UCBB 0.02082,403
 74  A*02:11-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India North UCBB 0.02025,849
 75  A*24:03:01-B*18:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.019523,595
 76  A*11:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India West UCBB 0.01815,829
 77  A*24:02-B*18:01-C*12:03-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP North American Amerindian 0.018135,791
 78  A*24:02-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01813,456,066
 79  A*02:11-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India West UCBB 0.01805,829
 80  A*03:01:01-B*18:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.014523,595
 81  A*11:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India South UCBB 0.014311,446
 82  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.014223,595
 83  A*69:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.01304,856
 84  A*24:02-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India Central UCBB 0.01274,204
 85  A*03:02-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India Central UCBB 0.01194,204
 86  A*24:02-B*18:01-C*12:03-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP African American pop 2 0.0114416,581
 87  A*01:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  USA Asian pop 2 0.01101,772
 88  A*11:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  USA African American pop 4 0.01102,411
 89  A*31:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.01104,856
 90  A*33:03-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  USA African American pop 4 0.01102,411
 91  A*68:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  USA Asian pop 2 0.01101,772
 92  A*02:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01013,456,066
 93  A*31:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India Tamil Nadu 0.01002,492
 94  A*02:17-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 95  A*24:03-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 96  A*24:02-B*18:01-C*12:03-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP Chinese 0.009399,672
 97  A*31:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India West UCBB 0.00875,829
 98  A*03:02-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India North UCBB 0.00855,849
 99  A*69:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India North UCBB 0.00855,849
 100  A*68:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India South UCBB 0.008011,446

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 113) 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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