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 7,404) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 75  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 901  A*31:01:02-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.008323,595
 902  A*31:01:02-B*56:01:01-C*07:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02855,266
 903  A*31:01:02-B*56:01:01-C*12:03:01-DRB1*01:01:01-DQB1*02:02:01  Poland BMR 0.006423,595
 904  A*31:01:02-B*56:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.012723,595
 905  A*31:01:02-B*56:01:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.004223,595
 906  A*31:01:02-B*56:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 907  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
 908  A*31:01:02-B*56:03-C*01:02:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00945,266
 909  A*31:01:02-B*57:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 910  A*31:01:02-B*57:01:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.008923,595
 911  A*31:01:02-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.015823,595
 912  A*31:01:02-B*57:01:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.018223,595
 913  A*31:01:02-B*57:01:01-C*06:02:01-DRB1*14:01:01-DQB1*05:03:01  Poland BMR 0.002023,595
 914  A*31:01:02-B*57:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.005623,595
 915  A*31:01:02-B*57:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:03:01  Poland BMR 0.004223,595
 916  A*31:01:02-B*57:01:01-DRB1*04:03:01  Portugal South 1.000049
 917  A*31:01:02-B*57:01:01-DRB1*07:01:01  Portugal South 1.000049
 918  A*31:01:02-B*57:02:01-C*01:02:01-DRB1*16:02:01-DQB1*05:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 919  A*31:01:02-B*57:76-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  India Karnataka Kannada Speaking 0.2870174
 920  A*31:01:02-B*58:01:01-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 921  A*31:01:02-B*58:01:01-C*03:02:01-DRB1*03:01:01-DQB1*02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 922  A*31:01:02-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.019123,595
 923  A*31:01:02-B*58:01:01-C*03:02:02-DRB1*04:03:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 924  A*31:01:02-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02951,734
 925  A*31:01:02-B*58:02:01-C*04:01:01-DRB1*12:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*18:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 926  A*31:01:02-B*58:02:01-C*06:02:01-DRB1*11:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 927  A*31:01:02-B*58:34-C*03:02:01-DRB1*15:01:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 928  A*31:01:02-B*67:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 929  A*31:01:02-B*67:01:01-C*08:01:01-DRB1*12:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 930  A*31:01:02-B*67:01:02-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 931  A*31:01:02-B*67:01:02-DRB1*15:01:01  Portugal South 1.000049
 932  A*31:01:02-B*78:02-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 0.4800105
 933  A*31:01:02-C*07:02:01  China Jingpo Minority 0.4850105
 934  A*31:01:02-C*07:02:01-DRB1*12:02:01  China Jingpo Minority 0.5150105
 935  A*31:01:02-C*15:02:01  China Jingpo Minority 0.9710105
 936  A*31:01:02-C*15:02:01-DRB1*04:06:01  China Jingpo Minority 1.0310105
 937  A*31:01:09-B*51:01:02-C*14:02:01-DRB1*15:01:01-DQB1*04:02:01  China Zhejiang Han 0.02881,734
 938  A*31:01-B*07:02  China Hubei Han 0.00050003,732
 939  A*31:01-B*07:02  USA Asian pop 2 0.06301,772
 940  A*31:01-B*07:02  USA African American pop 4 0.08302,411
 941  A*31:01-B*07:02-C*01:02-DRB1*15:01  Poland DKMS 0.021720,653
 942  A*31:01-B*07:02-C*03:03-DRB1*04:01-DQB1*05:02  Italy pop 5 0.1400975
 943  A*31:01-B*07:02-C*03:04-DRB1*01:01  Japan pop 16 0.005018,604
 944  A*31:01-B*07:02-C*05:01-DRB1*07:01  Poland DKMS 0.002420,653
 945  A*31:01-B*07:02-C*07:01-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo population 0.3497143
 946  A*31:01-B*07:02-C*07:02  Italy pop 5 0.1800975
 947  A*31:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - China minority 0.07801,282
 948  A*31:01-B*07:02-C*07:02-DRB1*01:01  Japan pop 16 0.209018,604
 949  A*31:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 950  A*31:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.20003,078
 951  A*31:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  USA San Diego 0.2600496
 952  A*31:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.06022,492
 953  A*31:01-B*07:02-C*07:02-DRB1*03:01-DQB1*02:01-DPB1*01:01  Russia Karelia 0.05731,075
 954  A*31:01-B*07:02-C*07:02-DRB1*03:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.05651,075
 955  A*31:01-B*07:02-C*07:02-DRB1*03:04  Poland DKMS 0.001920,653
 956  A*31:01-B*07:02-C*07:02-DRB1*04:01  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 957  A*31:01-B*07:02-C*07:02-DRB1*04:01  Poland DKMS 0.007720,653
 958  A*31:01-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02102,492
 959  A*31:01-B*07:02-C*07:02-DRB1*04:05  Japan pop 16 0.016018,604
 960  A*31:01-B*07:02-C*07:02-DRB1*04:05-DQA1*03:01-DQB1*03:02-DPB1*03:01  Nicaragua Managua 0.2165339
 961  A*31:01-B*07:02-C*07:02-DRB1*07:01  Germany DKMS - Greece minority 0.05301,894
 962  A*31:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 963  A*31:01-B*07:02-C*07:02-DRB1*08:01  Germany DKMS - Croatia minority 0.02402,057
 964  A*31:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  England North West 0.2000298
 965  A*31:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 966  A*31:01-B*07:02-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPB1*03:01  Nicaragua Managua 0.2165339
 967  A*31:01-B*07:02-C*07:02-DRB1*08:03  Hong Kong Chinese BMDR 0.00667,595
 968  A*31:01-B*07:02-C*07:02-DRB1*09:01  Germany DKMS - Austria minority 0.02901,698
 969  A*31:01-B*07:02-C*07:02-DRB1*09:01  Japan pop 16 0.005018,604
 970  A*31:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.01201,999
 971  A*31:01-B*07:02-C*07:02-DRB1*11:01  Japan pop 16 0.005018,604
 972  A*31:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 973  A*31:01-B*07:02-C*07:02-DRB1*11:02-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 974  A*31:01-B*07:02-C*07:02-DRB1*11:03  Germany DKMS - Austria minority 0.02901,698
 975  A*31:01-B*07:02-C*07:02-DRB1*11:03  Germany DKMS - United Kingdom minority 0.04801,043
 976  A*31:01-B*07:02-C*07:02-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPB1*04:02  USA San Diego 0.2600496
 977  A*31:01-B*07:02-C*07:02-DRB1*12:01  Poland DKMS 0.005020,653
 978  A*31:01-B*07:02-C*07:02-DRB1*13:01  Italy pop 5 0.1000975
 979  A*31:01-B*07:02-C*07:02-DRB1*13:01  Poland DKMS 0.004620,653
 980  A*31:01-B*07:02-C*07:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01004,856
 981  A*31:01-B*07:02-C*07:02-DRB1*13:02  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 982  A*31:01-B*07:02-C*07:02-DRB1*13:02  Poland DKMS 0.012320,653
 983  A*31:01-B*07:02-C*07:02-DRB1*13:03-DQB1*03:01  USA Hispanic pop 2 0.01201,999
 984  A*31:01-B*07:02-C*07:02-DRB1*14:01  Poland DKMS 0.007920,653
 985  A*31:01-B*07:02-C*07:02-DRB1*14:01-DQB1*05:02  USA Asian pop 2 0.04401,772
 986  A*31:01-B*07:02-C*07:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.02882,492
 987  A*31:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - United Kingdom minority 0.09401,043
 988  A*31:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Greece minority 0.03801,894
 989  A*31:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Croatia minority 0.04602,057
 990  A*31:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Romania minority 0.08101,234
 991  A*31:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - France minority 0.03601,406
 992  A*31:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Austria minority 0.05301,698
 993  A*31:01-B*07:02-C*07:02-DRB1*15:01  Poland DKMS 0.084920,653
 994  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*05:02  India Tamil Nadu 0.03942,492
 995  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.06841,463
 996  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01204,856
 997  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 998  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.04401,772
 999  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 1,000  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.06953,456,066

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 7,404) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 75  


   

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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