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 160) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*44-C*05-DRB1*11-DQB1*03  Albanian Kosovo 1.6700120
 2  A*02-B*44-C*05-DRB1*11-DQB1*03  Iraq Kurdistan Region 1.2000209
 3  A*31:01:02-B*44:02:01-C*05:01:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Parda 0.5882170
 4  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.45101,159
 5  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Italy pop 5 0.4400975
 6  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 7  A*02:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.33071,510
 8  A*24:02:01-B*44:02:01-C*05:01:01-DRB1*11:04:01-DQA1*02:01:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:02:01  Russia Belgorod region 0.3268153
 9  A*02-B*44-C*05-DRB1*11-DQA1*05-DQB1*03  Spain, Castilla y Leon, Northwest, 0.30101,743
 10  A*02:01-B*44:02-C*05:01-DRB1*11:04-DQB1*03:01  Italy pop 5 0.2900975
 11  A*01-B*44-C*05-DRB1*11-DQB1*03  Albania pop 2 0.2800432
 12  A*02:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*11:04:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 13  A*02:01-B*44:02-C*05:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPB1*04:02  USA San Diego 0.2600496
 14  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*11:03-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 15  A*24:02-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  England North West 0.2000298
 16  A*25:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  England North West 0.2000298
 17  A*03:01:01-B*44:02:01-C*05:01:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 18  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.19171,075
 19  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.18701,999
 20  A*32:01-B*44:02-C*05:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.18201,159
 21  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  USA NMDP American Indian South or Central America 0.16455,926
 22  A*02:01-B*44:02-C*05:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.14001,159
 23  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*11:08:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 24  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.13651,463
 25  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.13413,456,066
 26  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.116723,595
 27  A*02:01-B*44:02-C*05:01-DRB1*11:04-DQB1*03:01-DPB1*02:01  Russia Karelia 0.11311,075
 28  A*02:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.11241,510
 29  A*32:01-B*44:02-C*05:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.10904,856
 30  A*02:01-B*44:02-C*05:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.10304,856
 31  A*02-B*44-C*05-DRB1*11-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.10004,510
 32  A*32:01-B*44:02-C*05:01-DRB1*11:04-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 33  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.094023,595
 34  A*02:05-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.08702,411
 35  A*01:01-B*44:02-C*05:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.08601,159
 36  A*02:01-B*44:02-C*05:01-DRB1*11:03-DQB1*03:01  Germany DKMS - Italy minority 0.08601,159
 37  A*02:01-B*44:02-C*05:01-DRB1*11:04-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.08213,456,066
 38  A*32-B*44-C*05-DRB1*11-DQB1*03-DPB1*03  Norway ethnic Norwegians 0.08004,510
 39  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 40  A*32:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 41  A*11:01-B*44:02-C*05:01-DRB1*11:04-DQB1*03:01  India North UCBB 0.06285,849
 42  A*24:02-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.06101,159
 43  A*24-B*44-C*05-DRB1*11-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.06004,510
 44  A*02:01-B*44:02-C*05:01-DRB1*11:03-DQB1*03:01-DPB1*04:01  Russia Karelia 0.05651,075
 45  A*02:64-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01-DPB1*04:02  Russia Karelia 0.05651,075
 46  A*03:01-B*44:02-C*05:01-DRB1*11:03-DQB1*03:01-DPB1*04:02  Russia Karelia 0.05651,075
 47  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01-DPB1*04:02  Russia Karelia 0.05621,075
 48  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.05504,856
 49  A*02:01-B*44:02-C*05:01-DRB1*11:03-DQB1*03:01  Germany DKMS - Turkey minority 0.05104,856
 50  A*02:01-B*44:02-C*05:01-DRB1*11:04-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 51  A*24:02-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 52  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.04483,456,066
 53  A*01:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:02  USA African American pop 4 0.04402,411
 54  A*02:01-B*44:02-C*05:01-DRB1*11:03-DQB1*03:01  USA African American pop 4 0.04402,411
 55  A*32:01-B*44:02-C*05:01-DRB1*11:04-DQB1*03:01  USA African American pop 4 0.04402,411
 56  A*02:20-B*44:02-C*05:01-DRB1*11:04-DQB1*03:01  India North UCBB 0.04275,849
 57  A*01:01-B*44:02-C*05:01-DRB1*11:04-DQB1*03:01  India East UCBB 0.04162,403
 58  A*11:01-B*44:02-C*05:01-DRB1*11:03-DQB1*03:01  Germany DKMS - Turkey minority 0.04104,856
 59  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.03901,772
 60  A*24:02-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.03704,856
 61  A*03:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.03604,856
 62  A*01:01-B*44:02-C*05:01-DRB1*11:04-DQB1*03:01  India Central UCBB 0.03574,204
 63  A*03:02-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 64  A*32:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 65  A*32:01-B*44:02-C*05:01-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 66  A*32:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India West UCBB 0.03395,829
 67  A*01:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03351,510
 68  A*11-B*44-C*05-DRB1*11-DQA1*05-DQB1*03  Spain, Castilla y Leon, Northwest, 0.03331,743
 69  A*03:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 70  A*11:01:01:01-B*44:02:01:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 71  A*24:02:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 72  A*32:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 73  A*33:03:01-B*44:02:01-C*05:01:01:02-DRB1*11:03-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 74  A*68-B*44-C*05-DRB1*11-DQA1*05-DQB1*03  Spain, Castilla y Leon, Northwest, 0.03281,743
 75  A*24:02-B*44:02-C*05:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.03204,856
 76  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.02633,456,066
 77  A*02:01-B*44:02-C*05:01-DRB1*11:04-DQB1*03:01  India West UCBB 0.02575,829
 78  A*11:01-B*44:02-C*05:01-DRB1*11:04-DQB1*03:01  India West UCBB 0.02575,829
 79  A*01:01-B*44:02-C*05:01-DRB1*11:04-DQB1*03:01  India North UCBB 0.02565,849
 80  A*01:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India North UCBB 0.02415,849
 81  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 82  A*11:01-B*44:02-C*05:01-DRB1*11:04-DQB1*03:01  India East UCBB 0.02082,403
 83  A*32:01-B*44:02-C*05:01-DRB1*11:04-DQB1*03:01  India East UCBB 0.02082,403
 84  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.02043,456,066
 85  A*02:01-B*44:02-C*05:01-DRB1*11:04-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.02043,456,066
 86  A*01:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.02001,510
 87  A*02-B*44-C*05-DRB1*11-DQB1*03-DPB1*02  Norway ethnic Norwegians 0.02004,510
 88  A*24-B*44-C*05-DRB1*11-DQB1*03-DPB1*02  Norway ethnic Norwegians 0.02004,510
 89  A*24:02:01-B*44:02:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.019923,595
 90  A*32:01-B*44:02-C*05:01-DRB1*11:04-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01983,456,066
 91  A*32:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01963,456,066
 92  A*11:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01894,204
 93  A*32:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India North UCBB 0.01795,849
 94  A*32:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.01793,456,066
 95  A*33:03-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India West UCBB 0.01765,829
 96  A*32:01:01-B*44:02:01-C*05:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.016823,595
 97  A*03:01-B*44:02-C*05:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.01604,856
 98  A*02:01-B*44:02-C*05:01-DRB1*11:03-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01583,456,066
 99  A*01:01:01-B*44:02:01-C*05:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.015423,595
 100  A*03:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India South UCBB 0.015211,446

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 160) 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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