Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 694) records   Pages: 1 2 3 4 5 6 7 of 7  

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*02:02:01  Poland BMR 0.000875123,595
 3  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:02:01  Poland BMR 0.006723,595
 4  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
 5  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*06:03:01  Poland BMR 0.002723,595
 6  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.1041221
 7  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
 8  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 0.0503221
 9  A*01:01:01-B*35:01:01-C*06:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:02:01  Russia Belgorod region 0.3268153
 10  A*01:01:01-B*35:01:01-C*06:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.004223,595
 11  A*01:01:01-B*35:01:01-C*15:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.001523,595
 12  A*01:01:01-B*35:01:01-C*17:03:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 13  A*01:01-B*35:01-C*03:04-DRB1*01:01  Germany DKMS - Austria minority 0.02901,698
 14  A*01:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - France minority 0.16201,406
 15  A*01:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - United Kingdom minority 0.06601,043
 16  A*01:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Greece minority 0.14601,894
 17  A*01:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Netherlands minority 0.14901,374
 18  A*01:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Croatia minority 0.10602,057
 19  A*01:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Romania minority 0.24101,234
 20  A*01:01-B*35:01-C*04:01-DRB1*01:01  Poland DKMS 0.096420,653
 21  A*01:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.14404,856
 22  A*01:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India Central UCBB 0.06754,204
 23  A*01:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India North UCBB 0.07485,849
 24  A*01:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.08195,829
 25  A*01:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India South UCBB 0.091511,446
 26  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
 27  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
 28  A*01:01-B*35:01-C*04:03-DRB1*01:01-DQB1*05:01  India East UCBB 0.02082,403
 29  A*01:01-B*35:01-C*06:02-DRB1*01:01  Germany DKMS - Portugal minority 0.04301,176
 30  A*01:01-B*35:01-DRB1*01:01  Israel Arab pop 2 0.017412,301
 31  A*01:01-B*35:01-DRB1*01:01  Israel USSR Jews 0.003945,681
 32  A*01:01-B*35:01-DRB1*01:01  Israel USA Jews 0.01656,058
 33  A*01:01-B*35:01-DRB1*01:01  Israel Morocco Jews 0.015736,718
 34  A*01:01-B*35:01-DRB1*01:01  Israel Iraq Jews 0.015113,270
 35  A*01:01-B*35:01-DRB1*01:01  Israel Iran Jews 0.00618,153
 36  A*01:02-B*35:01-DRB1*01:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 37  A*01:104-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.00865,829
 38  A*02:01:01:01-B*35:01:01:02-C*03:03:01-DRB1*01:01:01-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.03311,510
 39  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
 40  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
 41  A*02:01:01-B*35:01:01-C*01:02:01-DRB1*01:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 42  A*02:01:01-B*35:01:01-C*02:02:02-DRB1*01:01:01-DQB1*04:02:01  Poland BMR 0.002223,595
 43  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.013623,595
 44  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*01:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 45  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 46  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
 47  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*02:01:01  Poland BMR 0.011623,595
 48  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*02:02:01  Poland BMR 0.008723,595
 49  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:01:01  Poland BMR 0.015523,595
 50  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:02:01  Poland BMR 0.004023,595
 51  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:03:02  Poland BMR 0.002523,595
 52  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
 53  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
 54  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
 55  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*06:03:01  Poland BMR 0.007923,595
 56  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQA1*01:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 57  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*05:01:01  Russia Bashkortostan, Bashkirs 0.5387120
 58  A*02:01:01-B*35:01:01-C*04:01-DRB1*01:01  South Africa Caucasians 1.6700102
 59  A*02:01:01-B*35:01:01-C*04:267-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 60  A*02:01:01-B*35:01:01-DRB1*01:01  Portugal North 2.200046
 61  A*02:01-B*35:01-C*02:02-DRB1*01:01  Poland DKMS 0.002420,653
 62  A*02:01-B*35:01-C*03:03-DRB1*01:01  Germany DKMS - Austria minority 0.03001,698
 63  A*02:01-B*35:01-C*03:03-DRB1*01:01  Japan pop 16 0.010018,604
 64  A*02:01-B*35:01-C*03:03-DRB1*01:01  Poland DKMS 0.016420,653
 65  A*02:01-B*35:01-C*03:04-DRB1*01:01  Germany DKMS - United Kingdom minority 0.04801,043
 66  A*02:01-B*35:01-C*03:04-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.04301,159
 67  A*02:01-B*35:01-C*04:01-DRB1*01:01  Brazil Vale do Ribeira Quilombos 0.6944144
 68  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - United Kingdom minority 0.19701,043
 69  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - France minority 0.53301,406
 70  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Austria minority 0.19801,698
 71  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Spain minority 0.10201,107
 72  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Bosnia and Herzegovina minority 0.54001,028
 73  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Romania minority 0.43101,234
 74  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Portugal minority 0.48001,176
 75  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Netherlands minority 0.46101,374
 76  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Greece minority 0.18101,894
 77  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Croatia minority 0.09102,057
 78  A*02:01-B*35:01-C*04:01-DRB1*01:01  Hong Kong Chinese BMDR 0.00667,595
 79  A*02:01-B*35:01-C*04:01-DRB1*01:01  Italy pop 5 0.7000975
 80  A*02:01-B*35:01-C*04:01-DRB1*01:01  Poland DKMS 0.242520,653
 81  A*02:01-B*35:01-C*04:01-DRB1*01:01:01-DQB1*05:01:01  England North West 1.0000298
 82  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.11804,856
 83  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.19201,159
 84  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 85  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.05165,829
 86  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India South UCBB 0.019411,446
 87  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Italy pop 5 0.7400975
 88  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 89  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.04402,411
 90  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 91  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
 92  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
 93  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
 94  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
 95  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
 96  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.19311,075
 97  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
 98  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Russia Karelia 0.51321,075
 99  A*02:01-B*35:01-C*07:02-DRB1*01:01  Poland DKMS 0.004020,653
 100  A*02:01-B*35:01-C*07:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335

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 694) records   Pages: 1 2 3 4 5 6 7 of 7  


   

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.

support@allelefrequencies.net


Valid XHTML 1.0 Transitional