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 : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 901 to 1,000 (from 10,687) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 107  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 901  A*68:01:02-B*51:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 902  A*68:01:02-B*51:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:09:01  India Andhra Pradesh Telugu Speaking 0.2688186
 903  A*68:01:02-B*51:01:01-C*07:04:01-DRB1*15:01:01-DQB1*06:03:01  Poland BMR 0.006423,595
 904  A*68:01:02-B*51:01:01-C*12:03:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00615,266
 905  A*68:01:02-B*51:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Parda 0.5882170
 906  A*68:01:02-B*51:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 907  A*68:01:02-B*51:01:01-C*14:02:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.2810356
 908  A*68:01:02-B*51:01:01-C*14:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002123,595
 909  A*68:01:02-B*51:01:01-C*14:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 910  A*68:01:02-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.007323,595
 911  A*68:01:02-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 912  A*68:01:02-B*51:01:01-C*14:02:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 913  A*68:01:02-B*51:01:01-C*14:02:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.006023,595
 914  A*68:01:02-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.025723,595
 915  A*68:01:02-B*51:01:01-C*14:02:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 916  A*68:01:02-B*51:01:01-C*14:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 917  A*68:01:02-B*51:01:01-C*14:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 918  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.005823,595
 919  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.004223,595
 920  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.002223,595
 921  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.012723,595
 922  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*04:07:01-DQB1*03:01:01  Poland BMR 0.000668823,595
 923  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002123,595
 924  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*07:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00925,266
 925  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*07:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02855,266
 926  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004423,595
 927  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.006923,595
 928  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 929  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.008923,595
 930  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*08:03:02-DQB1*03:01:01  Poland BMR 0.002123,595
 931  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*08:03:02-DQB1*05:03:01  Poland BMR 0.002123,595
 932  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*08:10-DQB1*03:01:01  Poland BMR 0.002123,595
 933  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.024923,595
 934  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*11:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 935  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.004423,595
 936  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.009523,595
 937  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.082023,595
 938  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002323,595
 939  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.014323,595
 940  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002323,595
 941  A*68:01:02-B*51:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 942  A*68:01:02-B*51:01:01-C*16:02:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002123,595
 943  A*68:01:02-B*51:01:01-C*16:02:01-DRB1*13:01:01-DQB1*06:03:01  China Zhejiang Han 0.02881,734
 944  A*68:01:02-B*51:01:01-C*16:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 945  A*68:01:02-B*51:01:01-C*16:02:01-DRB1*15:01:01-DQB1*05:02:01  Poland BMR 0.004223,595
 946  A*68:01:02-B*51:01:01-DRB1*03:01:01  Portugal South 1.000049
 947  A*68:01:02-B*51:02:01  China Jingpo Minority 0.9900105
 948  A*68:01:02-B*51:02:01-C*15:02:01-DRB1*04:06:01  China Jingpo Minority 1.0420105
 949  A*68:01:02-B*51:08:01-C*16:02:01-DRB1*13:03:01-DQB1*02:02:01  Poland BMR 0.002123,595
 950  A*68:01:02-B*51:134-C*15:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.000317923,595
 951  A*68:01:02-B*51:134-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.003923,595
 952  A*68:01:02-B*52:01:01-C*07:01:01-DRB1*07:01:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 953  A*68:01:02-B*52:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 954  A*68:01:02-B*52:01:01-C*07:02:01  China Jingpo Minority 0.5290105
 955  A*68:01:02-B*52:01:01-C*12:02:01-DRB1*15:02:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 956  A*68:01:02-B*52:01:01-C*12:02:02  South African Indian population 1.000050
 957  A*68:01:02-B*52:01:01-C*12:02:02-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.000227323,595
 958  A*68:01:02-B*52:01:01-C*12:02:02-DRB1*07:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 959  A*68:01:02-B*52:01:01-C*12:02:02-DRB1*07:01:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 960  A*68:01:02-B*52:01:01-C*12:02:02-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.08651,734
 961  A*68:01:02-B*52:01:01-C*12:02:02-DRB1*11:01:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 962  A*68:01:02-B*52:01:01-C*12:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 963  A*68:01:02-B*52:01:01-C*12:02:02-DRB1*15:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 964  A*68:01:02-B*52:01:01-C*14:02:01-DRB1*10:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 965  A*68:01:02-B*52:01:02-C*02:02:02-DRB1*04:11:01  Nicaragua Mestizo (G) 0.3226155
 966  A*68:01:02-B*52:01:02-C*03:03:01-DRB1*04:10:01  Nicaragua Mestizo (G) 0.3226155
 967  A*68:01:02-B*52:01:02-C*03:03:01-DRB1*08:02:01  Nicaragua Mestizo (G) 0.3226155
 968  A*68:01:02-B*53:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.2262221
 969  A*68:01:02-B*55:01:01-C*03:03:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 970  A*68:01:02-B*55:01:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004223,595
 971  A*68:01:02-B*55:01:01-C*03:03:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002923,595
 972  A*68:01:02-B*55:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002023,595
 973  A*68:01:02-B*55:01:01-C*03:03:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002123,595
 974  A*68:01:02-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 975  A*68:01:02-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.007123,595
 976  A*68:01:02-B*56:01:01-C*01:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.004623,595
 977  A*68:01:02-B*56:01:01-C*01:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002123,595
 978  A*68:01:02-B*56:01:01-C*01:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004123,595
 979  A*68:01:02-B*56:01:01-C*01:02:01-DRB1*08:01:01-DQB1*03:01:01  Poland BMR 0.040223,595
 980  A*68:01:02-B*56:01:01-C*01:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002323,595
 981  A*68:01:02-B*56:01:01-C*01:02:01-DRB1*08:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 982  A*68:01:02-B*56:01:01-C*01:02:01-DRB1*08:02:01  Costa Rica Amerindians (G) 0.4032125
 983  A*68:01:02-B*56:01:01-C*01:02:01-DRB1*11:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 984  A*68:01:02-B*56:01:01-C*01:02:01-DRB1*11:04:01-DQB1*02:02:01  Poland BMR 0.002123,595
 985  A*68:01:02-B*56:01:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.004523,595
 986  A*68:01:02-B*56:01:01-C*01:02:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 987  A*68:01:02-B*57:01:01-C*01:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 988  A*68:01:02-B*57:01:01-C*06:02:01  England Blood Donors of Mixed Ethnicity 0.1119519
 989  A*68:01:02-B*57:01:01-C*06:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002523,595
 990  A*68:01:02-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.003023,595
 991  A*68:01:02-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.010223,595
 992  A*68:01:02-B*57:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004523,595
 993  A*68:01:02-B*57:01:01-C*06:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.001923,595
 994  A*68:01:02-B*57:01:01-C*07:01:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.006223,595
 995  A*68:01:02-B*57:01:01-C*07:01:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 996  A*68:01:02-B*58:01:01-C*03:02:01-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356
 997  A*68:01:02-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02881,734
 998  A*68:01:02-B*58:01:01-C*03:04:01-DRB1*08:04:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 999  A*68:01:02-B*58:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 1,000  A*68:01:02-B*58:01:01-C*07:18:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170

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 901 to 1,000 (from 10,687) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 107  


   

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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