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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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 265) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.18791,510
 2  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.067523,595
 3  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.0718221
 4  A*01:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.14404,856
 5  A*01:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India South UCBB 0.091511,446
 6  A*01:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India North UCBB 0.07485,849
 7  A*01:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India Central UCBB 0.06754,204
 8  A*01:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.08195,829
 9  A*01:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.04113,456,066
 10  A*01:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Germany DKMS - German donors 0.04283,456,066
 11  A*01:104-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.00865,829
 12  A*02:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.21911,510
 13  A*02:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.5208192
 14  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 15  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.179723,595
 16  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.7000215
 17  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.3891521
 18  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*05:01:01  Russia Bashkortostan, Bashkirs 0.5387120
 19  A*02:01-B*35:01-C*04:01-DRB1*01:01:01-DQB1*05:01:01  England North West 1.0000298
 20  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.11804,856
 21  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.19201,159
 22  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 23  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.05165,829
 24  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India South UCBB 0.019411,446
 25  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Italy pop 5 0.7400975
 26  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 27  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.04402,411
 28  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 29  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA NMDP American Indian South or Central America 0.25335,926
 30  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA NMDP Black South or Central American 0.10974,889
 31  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*02:01  Germany DKMS - German donors 0.02553,456,066
 32  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.02953,456,066
 33  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.10953,456,066
 34  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.19311,075
 35  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Germany DKMS - German donors 0.12343,456,066
 36  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Russia Karelia 0.51321,075
 37  A*02:02-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.04402,411
 38  A*02:05-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India North UCBB 0.00855,849
 39  A*02:06:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.06621,510
 40  A*02:06:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 41  A*02:06-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India East UCBB 0.02082,403
 42  A*02:06-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.02855,829
 43  A*02:06-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 44  A*02:07-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 45  A*02:11-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.05952,492
 46  A*02:11-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.02165,829
 47  A*02:11-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India East UCBB 0.04182,403
 48  A*02:11-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India North UCBB 0.01035,849
 49  A*02:11-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India South UCBB 0.024611,446
 50  A*02:11-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India Central UCBB 0.03994,204
 51  A*02:13-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03441,463
 52  A*02:22:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 53  A*03:01:01:01-B*35:01:01-C*04:01:01:05-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.06621,510
 54  A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 2.57951,510
 55  A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 4.0457192
 56  A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*05:01:01  Russia Bashkortostan, Bashkirs 0.2946120
 57  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*03:01:01  Russian Federation Vologda Region 0.8403119
 58  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 2.5210119
 59  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  China Zhejiang Han 0.05771,734
 60  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 61  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.673223,595
 62  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 1.1765170
 63  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 64  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 2.941268
 65  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 66  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 1.6290221
 67  A*03:01-B*35:01-C*04:01-DRB1*01:01:01-DQB1*05:01:01  England North West 0.5000298
 68  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.61381,463
 69  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.53104,856
 70  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.96501,159
 71  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India Central UCBB 0.30504,204
 72  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India South UCBB 0.081511,446
 73  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India East UCBB 0.38772,403
 74  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India North UCBB 0.21195,849
 75  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.51175,829
 76  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Italy pop 5 0.8800975
 77  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.51304,335
 78  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA NMDP Alaska Native or Aleut 0.69131,376
 79  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA Asian pop 2 0.17801,772
 80  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.17402,411
 81  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.32201,999
 82  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA NMDP Caribean Indian 0.256814,339
 83  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA NMDP Hawaiian or other Pacific Islander 0.243611,499
 84  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA NMDP American Indian South or Central America 0.98025,926
 85  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA NMDP Black South or Central American 0.23634,889
 86  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*01:01  Germany DKMS - German donors 0.03183,456,066
 87  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*02:01  Germany DKMS - German donors 0.08843,456,066
 88  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*02:01  Russia Karelia 1.15021,075
 89  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.09033,456,066
 90  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*03:01  Russia Karelia 0.13131,075
 91  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.53963,456,066
 92  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 1.12381,075
 93  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Germany DKMS - German donors 0.63673,456,066
 94  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Russia Karelia 1.88471,075
 95  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*05:01  Germany DKMS - German donors 0.02363,456,066
 96  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*06:01  Germany DKMS - German donors 0.01763,456,066
 97  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*09:01  Germany DKMS - German donors 0.02313,456,066
 98  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*14:01  Germany DKMS - German donors 0.01433,456,066
 99  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Caribean Black 0.199133,328
 100  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Vietnamese 0.005543,540

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 265) records   Pages: 1 2 3 of 3  


   

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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