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 1,082) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 11  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 901  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:03  India North UCBB 0.00865,849
 902  A*01:43-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.00865,829
 903  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:48  India West UCBB 0.00865,829
 904  A*02:05-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.00865,829
 905  A*02:06-B*07:02-C*08:01-DRB1*15:01-DQB1*06:02  India West UCBB 0.00865,829
 906  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*05:02  India North UCBB 0.00865,849
 907  A*24:02-B*07:02-C*04:01-DRB1*15:01-DQB1*06:01  India West UCBB 0.00865,829
 908  A*24:07-B*07:02-C*07:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.00865,829
 909  A*24:11N-B*07:02-C*07:02-DRB1*15:01-DQB1*05:02  India West UCBB 0.00865,829
 910  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.00865,849
 911  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:03  India West UCBB 0.00865,829
 912  A*33:03-B*07:02-C*07:02-DRB1*15:01-DQB1*05:01  India West UCBB 0.00865,829
 913  A*01:01-B*07:02-C*03:04-DRB1*15:01-DQB1*06:02  India North UCBB 0.00855,849
 914  A*02:20-B*07:02-C*07:02-DRB1*15:01-DQB1*06:03  India North UCBB 0.00855,849
 915  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:03  India North UCBB 0.00855,849
 916  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:03  India North UCBB 0.00855,849
 917  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.00855,849
 918  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:03  India North UCBB 0.00855,849
 919  A*32:01-B*07:02-C*07:02-DRB1*15:01-DQB1*05:02  India North UCBB 0.00855,849
 920  A*33:03-B*07:02-C*07:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.008511,446
 921  A*29:01-B*07:02-DRB1*15:01  Israel USSR Jews 0.008545,681
 922  A*02:01:01-B*07:02:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.008323,595
 923  A*68:01-B*07:02-DRB1*15:01  Israel USA Jews 0.00836,058
 924  A*03:04-B*07:02-DRB1*15:01  Israel USSR Jews 0.008045,681
 925  A*11:01-B*07:02-DRB1*15:01  Hong Kong Chinese cord blood registry 0.00783,892
 926  A*68:02-B*07:02-DRB1*15:01  Israel USA Jews 0.00786,058
 927  A*01:01-B*07:02-DRB1*15:01  Israel Iraq Jews 0.007413,270
 928  A*02:01-B*07:02-C*03:03-DRB1*15:01  Poland DKMS 0.007220,653
 929  A*02:02-B*07:02-DRB1*15:01  Israel Druze 0.00715,914
 930  A*02:01-B*07:02-DRB1*15:01  Israel Ethiopia Jews 0.00705,928
 931  A*02:01:01-B*07:02:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.007023,595
 932  A*30:02-B*07:02-DRB1*15:01  Israel Ethiopia Jews 0.00695,928
 933  A*26:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.00685,829
 934  A*30:01-B*07:02-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.00687,595
 935  A*01:01-B*07:02-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.00667,595
 936  A*68:01-B*07:02-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.00667,595
 937  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*03:01:01  Poland BMR 0.006623,595
 938  A*30:01-B*07:02-DRB1*15:01  Israel YemenJews 0.006415,542
 939  A*01:01:01-B*07:02:01-C*07:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.006423,595
 940  A*68:02-B*07:02-DRB1*15:01  Israel Arab pop 2 0.006412,301
 941  A*02:56:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*05:02:01  Poland BMR 0.006423,595
 942  A*01:01-B*07:02-DRB1*15:01  Israel Iran Jews 0.00618,153
 943  A*32:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.006111,446
 944  A*68:02-B*07:02-DRB1*15:01  Israel Poland Jews 0.006113,871
 945  A*25:01-B*07:02-DRB1*15:01  Israel USA Jews 0.00606,058
 946  A*30:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.005823,595
 947  A*69:01-B*07:02-DRB1*15:01  Israel Argentina Jews 0.00584,307
 948  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*03:01:01  Poland BMR 0.005823,595
 949  A*32:01:01-B*07:02:01-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.005623,595
 950  A*02:01:01-B*07:02:01-C*03:04:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00565,266
 951  A*29:01-B*07:02-DRB1*15:01  Israel Georgia Jews 0.00564,471
 952  A*68:02:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.005523,595
 953  A*26:01:01-B*07:02:01-C*12:03:01-DRB1*15:01:01-DQB1*05:02:01  Poland BMR 0.005523,595
 954  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*05:02:01  Poland BMR 0.005523,595
 955  A*02:02-B*07:02-DRB1*15:01  Israel Tunisia Jews 0.00559,070
 956  A*02:05-B*07:02-DRB1*15:01  Israel Tunisia Jews 0.00559,070
 957  A*03:02-B*07:02-DRB1*15:01  Israel Tunisia Jews 0.00559,070
 958  A*31:01-B*07:02-DRB1*15:01  Israel USSR Jews 0.005545,681
 959  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:03:01  Poland BMR 0.005423,595
 960  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.00545,829
 961  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.005211,446
 962  A*30:01-B*07:02-C*07:02-DRB1*15:01  Poland DKMS 0.005220,653
 963  A*11:01-B*07:02-C*03:04-DRB1*15:01  Japan pop 16 0.005018,604
 964  A*02:01-B*07:02-C*02:02-DRB1*15:01  Poland DKMS 0.004920,653
 965  A*24:07-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.004911,446
 966  A*32:01-B*07:02-DRB1*15:01  Israel Arab pop 2 0.004812,301
 967  A*24:03-B*07:02-C*07:02-DRB1*15:01-DQB1*05:02  India North UCBB 0.00475,849
 968  A*33:03-B*07:02-C*07:02-DRB1*15:01-DQB1*05:02  India South UCBB 0.004711,446
 969  A*03:01:01-B*07:02:01-C*12:03:01-DRB1*15:01:01-DQB1*05:02:01  Poland BMR 0.004723,595
 970  A*29:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004523,595
 971  A*30:02-B*07:02-DRB1*15:01  Israel Morocco Jews 0.004536,718
 972  A*33:03:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004523,595
 973  A*02:11-B*07:02-C*07:02-DRB1*15:01-DQB1*05:02  India South UCBB 0.004411,446
 974  A*03:01-B*07:02-C*05:01-DRB1*15:01-DQB1*05:02  India South UCBB 0.004411,446
 975  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*03:01  India South UCBB 0.004411,446
 976  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*05:02  India South UCBB 0.004411,446
 977  A*11:01-B*07:02-C*15:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.004411,446
 978  A*24:02-B*07:02-C*05:01-DRB1*15:01-DQB1*05:02  India South UCBB 0.004411,446
 979  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.004411,446
 980  A*33:03-B*07:02-C*07:02-DRB1*15:01-DQB1*05:01  India South UCBB 0.004411,446
 981  A*74:02-B*07:02-C*03:03-DRB1*15:01-DQB1*05:01  India South UCBB 0.004411,446
 982  A*03:02:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004323,595
 983  A*24:02-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Vietnamese 0.004343,540
 984  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:03:01  Poland BMR 0.004323,595
 985  A*02:01:01-B*07:02:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004323,595
 986  A*68:01:01-B*07:02:01-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004223,595
 987  A*31:01:02-B*07:02:03-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004223,595
 988  A*02:01:01-B*07:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004223,595
 989  A*02:05-B*07:02-C*07:02-DRB1*15:01  Poland DKMS 0.004220,653
 990  A*33:01-B*07:02-DRB1*15:01  Israel USA Jews 0.00416,058
 991  A*68:01:01-B*07:02:01-C*12:03:01-DRB1*15:01:01-DQB1*05:02:01  Poland BMR 0.004023,595
 992  A*29:01-B*07:02-DRB1*15:01  Israel Poland Jews 0.003913,871
 993  A*02:17-B*07:02-DRB1*15:01  Israel USSR Jews 0.003945,681
 994  A*24:02-B*07:02-DRB1*15:01  Israel Iraq Jews 0.003913,270
 995  A*03:01:01-B*07:02:01-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.003823,595
 996  A*02:02-B*07:02-DRB1*15:01  Israel Iraq Jews 0.003713,270
 997  A*02:17-B*07:02-DRB1*15:01  Israel Iraq Jews 0.003713,270
 998  A*01:17-B*07:02-DRB1*15:01  Israel Morocco Jews 0.003736,718
 999  A*01:36-B*07:02-DRB1*15:01  Israel Morocco Jews 0.003736,718
 1,000  A*24:03-B*07:02-C*07:02-DRB1*15:01-DQB1*03:01  India Tamil Nadu 0.00352,492

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 1,082) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 11  


   

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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