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 73 (from 73) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*31:01:02:01-B*51:01:01-C*15:02:01:01-DRB1*04:07:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 1.2500120
 2  A*31:01:02-B*40:06:01-C*15:02:01-DRB1*15:01:01  China Jingpo Minority 1.0420105
 3  A*31:01:02-C*15:02:01-DRB1*04:06:01  China Jingpo Minority 1.0310105
 4  A*31:01:02-B*51:02:01-C*15:02:01  China Jingpo Minority 0.9900105
 5  A*31:01:02-B*51:02:01-C*15:02:01-DRB1*08:03:02-DQB1*06:01:01  Vietnam Kinh 0.9900101
 6  A*31:01:02-C*15:02:01  China Jingpo Minority 0.9710105
 7  A*31:01:02-B*35:01:01-C*15:02:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 8  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*13:01:01  Saudi Arabia pop 6 (G) 0.629428,927
 9  A*31:01:02:01-B*51:01:01-C*15:02:01:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Bashkirs 0.4167120
 10  A*31:01:02:01-B*51:01:01-C*15:02:01:01-DRB1*09:01-DQB1*03:03:02  Russia Bashkortostan, Bashkirs 0.4167120
 11  A*31:01:02:01-B*51:01:01-C*15:02:01-DRB1*04:07:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 12  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.377128,927
 13  A*31:01:02-B*47:01:01-C*15:02:01-DRB1*11:04:01  Nicaragua Mestizo (G) 0.3226155
 14  A*31:01:02-B*15:05:01-C*15:02:01-DRB1*15:02:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 15  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*04:01:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 16  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*15:02:05-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 17  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*08:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 18  A*31:01:02-B*40:02:01-C*15:02:01-DRB1*04:11:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*14:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 19  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*04:07:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 20  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.1945521
 21  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.125028,927
 22  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.118428,927
 23  A*31:01:02-B*51:02:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.11531,734
 24  A*31:01:02-B*40:02:01-C*15:02:01  England Blood Donors of Mixed Ethnicity 0.0963519
 25  A*31:01:02-B*51:02:01-C*15:02:01-DRB1*08:02:01-DQB1*04:02:01  China Zhejiang Han 0.05771,734
 26  A*31:01:02-B*51:02:01-C*15:02:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.05761,734
 27  A*31:01:02:01-B*51:01:01-C*15:02:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 28  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 29  A*31:01:02-B*40:01:02-C*15:02:01-DRB1*14:05:01-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 30  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 31  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*04:05:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 32  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*09:01:02-DQB1*05:03:01  China Zhejiang Han 0.02881,734
 33  A*31:01:02-B*51:02:01-C*15:02:01-DRB1*12:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 34  A*31:01:02-B*51:02:01-C*15:02:01-DRB1*13:03:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 35  A*31:01:02-B*51:02:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 36  A*31:01:02-B*51:02:01-C*15:02:01-DRB1*08:02:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02855,266
 37  A*31:01:02-B*51:02:01-C*15:02:01-DRB1*08:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.02325,266
 38  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.021623,595
 39  A*31:01:02-B*51:02:01-C*15:02:01-DRB1*14:05:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 40  A*31:01:02-B*51:02:01-C*15:02:01-DRB1*12:02:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01805,266
 41  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*04:07:01-DQB1*03:01:01  Poland BMR 0.016823,595
 42  A*31:01:02-B*51:02:01-C*15:02:01-DRB1*11:01:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01555,266
 43  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*04:08-DQB1*03:01:01  Poland BMR 0.014823,595
 44  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.010223,595
 45  A*31:01:02-B*51:02:01-C*15:02:01-DRB1*15:01:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 46  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.009523,595
 47  A*31:01:02-B*51:02:01-C*15:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00945,266
 48  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*15:01:01-DPB1*01:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00935,266
 49  A*31:01:02-B*51:02:01-C*15:02:01-DRB1*09:01:02-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00895,266
 50  A*31:01:02-B*40:01:02-C*15:02:01-DRB1*04:05:01-DPB1*135:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00855,266
 51  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.008223,595
 52  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*09:01:02-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00815,266
 53  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*11:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00815,266
 54  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*04:07:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00805,266
 55  A*31:01:02-B*51:02:01-C*15:02:01-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00625,266
 56  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*04:03:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00575,266
 57  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.003323,595
 58  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002223,595
 59  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 60  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 61  A*31:01:02-B*40:02:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 62  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*04:07:01-DQB1*06:04:01  Poland BMR 0.002123,595
 63  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 64  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 65  A*31:01:02-B*51:01:02-C*15:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002123,595
 66  A*31:01:02-B*51:08:01-C*15:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 67  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 68  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 69  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*15:01:01-DQB1*03:01:01  Poland BMR 0.001723,595
 70  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.001523,595
 71  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.001323,595
 72  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*03:01:01  Poland BMR 0.000189123,595
 73  A*31:01:02-B*56:01:01-C*15:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.000127223,595

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