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 78 (from 78) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  Ireland South 2.3000250
 2  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*04:04  South Africa Caucasians 1.1100102
 3  A*02:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  Ireland South 1.0000250
 4  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:04:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 5  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*06:02:01-DPB1*02:01:02  South African Black 0.3520142
 6  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 7  B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 8  A*02:01-B*07:02-C*07:02-DRB1*04:04-DQA1*03:01-DQB1*03:01  Brazil Puyanawa 0.3333150
 9  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02:01  England North West 0.3000298
 10  A*02:01-B*07:02-C*07:02-DRB1*04:04  Germany DKMS - France minority 0.29001,406
 11  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 12  A*03:01-B*07:02-C*07:02-DRB1*04:04  Germany DKMS - United Kingdom minority 0.23701,043
 13  A*03:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.23181,510
 14  A*11:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02:01  England North West 0.2000298
 15  A*03:01-B*07:02-C*07:02-DRB1*04:04  Germany DKMS - France minority 0.19901,406
 16  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:19:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 17  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.17104,335
 18  A*24:02-B*07:02-C*07:02-DRB1*04:04  Germany DKMS - Austria minority 0.16801,698
 19  A*03:01-B*07:02-C*07:02-DRB1*04:04  Germany DKMS - Romania minority 0.16201,234
 20  A*02:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  USA African American pop 4 0.13102,411
 21  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  Germany DKMS - Italy minority 0.12901,159
 22  A*02:01-B*07:02-C*07:02-DRB1*04:04  Germany DKMS - Austria minority 0.09901,698
 23  A*03:01-B*07:02-C*07:02-DRB1*04:04  Germany DKMS - Netherlands minority 0.09601,374
 24  A*01:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.08401,463
 25  A*02:01-B*07:02-C*07:02-DRB1*04:04  Germany DKMS - Netherlands minority 0.07201,374
 26  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.06841,463
 27  A*03:01-B*07:02-C*07:02-DRB1*04:04  Poland DKMS 0.066720,653
 28  A*24:02-B*07:02-C*07:02-DRB1*04:04  Germany DKMS - United Kingdom minority 0.06401,043
 29  A*02:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*04:02  Russia Karelia 0.05641,075
 30  A*03:01-B*07:02-C*07:02-DRB1*04:04  Germany DKMS - Croatia minority 0.05402,057
 31  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.052023,595
 32  A*11:01-B*07:02-C*07:02-DRB1*04:04  Germany DKMS - United Kingdom minority 0.04801,043
 33  A*25:01-B*07:02-C*07:02-DRB1*04:04  Germany DKMS - United Kingdom minority 0.04801,043
 34  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 35  A*24:02-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  India North UCBB 0.04605,849
 36  A*26:01-B*07:02-C*07:02-DRB1*04:04  Germany DKMS - Spain minority 0.04501,107
 37  A*24:02-B*07:02-C*07:02-DRB1*04:04  Germany DKMS - Romania minority 0.04101,234
 38  A*11:01-B*07:02-C*07:02-DRB1*04:04  Germany DKMS - China minority 0.03901,282
 39  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.036523,595
 40  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  India Central UCBB 0.03604,204
 41  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.03504,856
 42  A*02:01-B*07:02-C*07:02-DRB1*04:04  Poland DKMS 0.034320,653
 43  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.034223,595
 44  A*24:02-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 45  A*32:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 46  A*24:02-B*07:02-C*07:02-DRB1*04:04  Poland DKMS 0.033220,653
 47  A*03:01-B*07:02-C*07:02-DRB1*04:04  Germany DKMS - Austria minority 0.03201,698
 48  A*03:01-B*07:02-C*07:02-DRB1*04:04  Germany DKMS - Greece minority 0.02601,894
 49  A*11:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.02402,492
 50  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*02:01  Germany DKMS - German donors 0.02143,456,066
 51  A*02:03-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  India East UCBB 0.02082,403
 52  A*01:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.02002,492
 53  A*02:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*06:01  Germany DKMS - German donors 0.01863,456,066
 54  A*02:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.01793,456,066
 55  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.01723,456,066
 56  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  India West UCBB 0.01495,829
 57  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*06:01  Germany DKMS - German donors 0.01253,456,066
 58  A*33:03-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  India Central UCBB 0.01234,204
 59  A*02:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.01204,856
 60  A*31:12-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  India Central UCBB 0.01194,204
 61  A*24:02-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.01083,456,066
 62  A*24:02-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*02:01  Germany DKMS - German donors 0.01073,456,066
 63  A*11:01-B*07:02-C*07:02-DRB1*04:04  Poland DKMS 0.009720,653
 64  A*01:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  India West UCBB 0.00955,829
 65  A*24:02-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  India South UCBB 0.008911,446
 66  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.00862,492
 67  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  India South UCBB 0.008111,446
 68  A*24:02-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  India West UCBB 0.00645,829
 69  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.005623,595
 70  A*26:01-B*07:02-C*07:02-DRB1*04:04  Poland DKMS 0.004820,653
 71  A*68:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  India South UCBB 0.004411,446
 72  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.004323,595
 73  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.003423,595
 74  A*68:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002223,595
 75  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*02:02:01  Poland BMR 0.002123,595
 76  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:03:02  Poland BMR 0.002123,595
 77  A*33:03:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002023,595
 78  A*01:01-B*07:02-C*07:02-DRB1*04:04  Poland DKMS 0.000100020,653

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).




   

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