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 4,833) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 49  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 901  A*32:01-B*15:29-C*07:04-DRB1*15:02-DQB1*06:01  India North UCBB 0.16265,849
 902  A*11:01-B*35:03-C*04:01-DRB1*14:04-DQB1*06:01  India West UCBB 0.16225,829
 903  A*02:11-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.160911,446
 904  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Japanese 0.160424,582
 905  A*02:01-B*54:01-C*01:02-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.16003,078
 906  A*11:01-B*40:01-C*07:02-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.16003,078
 907  A*33:03-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.16003,078
 908  A*01:01-B*37:01-C*06:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.159811,446
 909  A*33:01-B*15:21-C*04:03-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Malay 0.1579951
 910  A*24:02-B*18:01-C*12:02-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Malay 0.1577951
 911  A*24:07-B*15:21-C*04:03-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Malay 0.1577951
 912  A*11:01-B*18:01-C*07:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.15632,403
 913  A*24:02-B*35:01-C*04:01-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.15502,492
 914  A*02:07-B*46:01-C*01:02-DRB1*08:03-DRBX*NNNN-DQB1*06:01  USA NMDP Filipino 0.155050,614
 915  A*24:02-B*40:06-C*12:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.15485,829
 916  A*02:01-B*07:05-C*07:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.15472,492
 917  A*03:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.15422,492
 918  A*68:01-B*51:01-C*14:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.15402,403
 919  A*02:11-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.15352,403
 920  DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*135:01  Hong Kong Chinese HKBMDR. DQ and DP 0.15341,064
 921  A*32:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.15215,829
 922  A*24:02:01-B*52:01-C*12:02:01-DRB1*15:02:01-DQB1*06:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.151928,927
 923  A*01:01-B*35:01-DRB1*11:01-DQB1*06:01  Mexico Mexico City Tlalpan 0.1515330
 924  A*01:01-B*51:01-DRB1*15:02-DQB1*06:01  Mexico Mexico City Tlalpan 0.1515330
 925  A*01:01-B*52:01-DRB1*15:02-DQB1*06:01  Mexico Mexico City Tlalpan 0.1515330
 926  A*02:01-B*14:02-DRB1*15:01-DQB1*06:01  Mexico Mexico City Tlalpan 0.1515330
 927  A*02:01-B*50:01-DRB1*15:01-DQB1*06:01  Mexico Mexico City Tlalpan 0.1515330
 928  A*02:01-B*52:01-DRB1*15:01-DQB1*06:01  Mexico Mexico City Tlalpan 0.1515330
 929  A*02:02-B*14:02-DRB1*15:01-DQB1*06:01  Mexico Mexico City Tlalpan 0.1515330
 930  A*03:01-B*35:01-DRB1*15:01-DQB1*06:01  Mexico Mexico City Tlalpan 0.1515330
 931  A*03:01-B*40:01-DRB1*15:02-DQB1*06:01  Mexico Mexico City Tlalpan 0.1515330
 932  A*03:01-B*40:02-DRB1*13:01-DQB1*06:01  Mexico Mexico City Tlalpan 0.1515330
 933  A*11:01-B*54:01-DRB1*15:01-DQB1*06:01  Mexico Mexico City Tlalpan 0.1515330
 934  A*24:02-B*40:02-DRB1*04:04-DQB1*06:01  Mexico Mexico City Tlalpan 0.1515330
 935  A*24:02-B*52:01-DRB1*15:01-DQB1*06:01  Mexico Mexico City Tlalpan 0.1515330
 936  A*26:01-B*15:01-DRB1*13:01-DQB1*06:01  Mexico Mexico City Tlalpan 0.1515330
 937  A*26:01-B*37:01-DRB1*11:01-DQB1*06:01  Mexico Mexico City Tlalpan 0.1515330
 938  A*31:01-B*35:01-DRB1*15:01-DQB1*06:01  Mexico Mexico City Tlalpan 0.1515330
 939  A*32:01-B*07:02-DRB1*15:02-DQB1*06:01  Mexico Mexico City Tlalpan 0.1515330
 940  A*32:01-B*48:01-DRB1*15:02-DQB1*06:01  Mexico Mexico City Tlalpan 0.1515330
 941  A*68:01-B*51:01-DRB1*15:02-DQB1*06:01  Mexico Mexico City Tlalpan 0.1515330
 942  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Middle Eastern or North Coast of Africa 0.151270,890
 943  A*68:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.15125,829
 944  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*04:01  Russia Karelia 0.15121,075
 945  DRB1*15:01:01:01-DQB1*06:01-DPB1*05:01:01  China Inner Mongolia Autonomous Region Northeast 0.1500496
 946  A*01:01-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.14925,849
 947  A*24:02-B*13:01-C*04:03-DRB1*15:01-DQB1*06:01  India South UCBB 0.149011,446
 948  A*24:02-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  USA Asian pop 2 0.14901,772
 949  DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*38:01  China Zhejiang Han pop 2 0.1483833
 950  DQA1*01:02-DQB1*06:01-DPA1*02:02-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.14751,064
 951  A*03:01-B*07:05-C*07:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.14722,492
 952  A*02:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.14685,829
 953  A*33:03-B*58:01-C*03:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.14645,829
 954  A*11:01-B*18:01-C*07:01-DRB1*15:01-DQB1*06:01  India East UCBB 0.14572,403
 955  DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*04:01  Hong Kong Chinese HKBMDR. DQ and DP 0.14481,064
 956  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.14402,403
 957  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Hispanic South or Central American 0.1439146,714
 958  A*02:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.143311,446
 959  A*02:11-B*40:06-C*12:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.14335,829
 960  DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*04:02  Hong Kong Chinese HKBMDR. DQ and DP 0.14331,064
 961  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.14301,772
 962  A*01:01-B*57:01-C*06:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.14265,829
 963  A*11:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India Central UCBB 0.14244,204
 964  A*11:01-B*40:01-C*07:02-DRB1*08:03-DRBX*NNNN-DQB1*06:01  USA NMDP Southeast Asian 0.141727,978
 965  A*24:02-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.14145,849
 966  DQA1*01:02-DQB1*06:01-DPA1*01:03-DPB1*48:01  Hong Kong Chinese HKBMDR. DQ and DP 0.14141,064
 967  DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*03:01  China Zhejiang Han pop 2 0.1411833
 968  A*11:01-B*40:01-C*03:04-DRB1*15:01-DQB1*06:01  USA Asian pop 2 0.14101,772
 969  A*33:03-B*58:01-C*03:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.14065,849
 970  A*01:01-B*40:06-C*15:02-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 971  A*01:01-B*40:06-C*15:02-DRB1*15:01-DQA1*01:03-DQB1*06:01-DPB1*01:01  Sri Lanka Colombo 0.1401714
 972  A*02:01-B*07:02-C*07:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 973  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*02:01  Sri Lanka Colombo 0.1401714
 974  A*02:06-B*35:03-C*04:01-DRB1*11:01-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 975  A*02:11-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 976  A*03:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*13:01  Sri Lanka Colombo 0.1401714
 977  A*11:01-B*15:01-C*04:01-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*15:01  Sri Lanka Colombo 0.1401714
 978  A*11:01-B*51:06-C*14:02-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*13:01  Sri Lanka Colombo 0.1401714
 979  A*24:02-B*13:01-C*04:03-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*26:01  Sri Lanka Colombo 0.1401714
 980  A*24:02-B*40:06-C*14:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*03:01  Sri Lanka Colombo 0.1401714
 981  A*24:02-B*40:06-C*15:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 982  A*24:02-B*51:06-C*14:02-DRB1*15:01-DQA1*01:03-DQB1*06:01-DPB1*02:01  Sri Lanka Colombo 0.1401714
 983  A*24:02-B*58:01-C*03:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*02:01  Sri Lanka Colombo 0.1401714
 984  A*24:07-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 985  A*26:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*14:01  Sri Lanka Colombo 0.1401714
 986  A*33:03-B*40:06-C*15:02-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*02:01  Sri Lanka Colombo 0.1401714
 987  A*33:03-B*44:03-C*07:01-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*14:01  Sri Lanka Colombo 0.1401714
 988  A*33:03-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*02:01  Sri Lanka Colombo 0.1401714
 989  A*33:03-B*57:01-C*06:02-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 990  A*33:03-B*58:01-C*03:02-DRB1*15:01-DQA1*01:03-DQB1*06:01-DPB1*26:01  Sri Lanka Colombo 0.1401714
 991  A*68:01-B*35:03-C*04:01-DRB1*15:01-DQA1*01:03-DQB1*06:01-DPB1*01:01  Sri Lanka Colombo 0.1401714
 992  A*68:01-B*40:06-C*15:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*13:01  Sri Lanka Colombo 0.1401714
 993  A*68:01-B*51:01-C*15:02-DRB1*04:01-DQA1*03:01-DQB1*06:01-DPB1*26:01  Sri Lanka Colombo 0.1401714
 994  A*68:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 995  A*01:01:01-B*07:02:21-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 996  A*01:01:01-B*13:01:01-C*07:01:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 997  A*01:01:01-B*15:17:01-C*07:01:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 998  A*01:01:01-B*35:01:01-C*12:03:01-DRB1*15:02:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 999  A*01:01:01-B*40:06:01-C*15:02:01-DRB1*07:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 1,000  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356

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 4,833) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 49  


   

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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