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 14,401 to 14,475 (from 14,475) records   Pages: 141 142 143 144 145 of 145  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 14,401  A*02:01:01-B*55:01:01-C*03:03:01-DRB1*04:07:01-DQB1*03:01:01  Poland BMR 0.000399923,595
 14,402  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP Korean 0.000399077,584
 14,403  A*68:01:02-B*15:01:01-C*03:04:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.000380923,595
 14,404  A*68:01-B*57:01-C*03:02-DRB1*04:01-DQB1*03:02  India Tamil Nadu 0.00033402,492
 14,405  A*68:01-B*57:01-C*03:02-DRB1*04:02-DQB1*03:02  India Tamil Nadu 0.00033402,492
 14,406  A*68:01-B*57:01-C*03:02-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.00033402,492
 14,407  A*68:01-B*57:01-C*03:02-DRB1*04:08-DQB1*03:01  India Tamil Nadu 0.00033402,492
 14,408  A*68:01-B*57:01-C*03:03-DRB1*04:01-DQB1*03:02  India Tamil Nadu 0.00033402,492
 14,409  A*68:01-B*57:01-C*03:03-DRB1*04:02-DQB1*03:02  India Tamil Nadu 0.00033402,492
 14,410  A*68:01-B*57:01-C*03:03-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.00033402,492
 14,411  A*68:01-B*57:01-C*03:03-DRB1*04:08-DQB1*03:01  India Tamil Nadu 0.00033402,492
 14,412  A*68:01-B*57:01-C*03:04-DRB1*04:01-DQB1*03:02  India Tamil Nadu 0.00033402,492
 14,413  A*68:01-B*57:01-C*03:04-DRB1*04:02-DQB1*03:02  India Tamil Nadu 0.00033402,492
 14,414  A*68:01-B*57:01-C*03:04-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.00033402,492
 14,415  A*68:01-B*57:01-C*03:04-DRB1*04:08-DQB1*03:01  India Tamil Nadu 0.00033402,492
 14,416  A*68:02:01-B*15:01:01-C*03:04:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.000322523,595
 14,417  A*03:01:01-B*44:02:01-C*03:03:01-DRB1*12:01:01-DQB1*03:02:01  Poland BMR 0.000313523,595
 14,418  A*02:30:01-B*40:01:02-C*03:04:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.000301223,595
 14,419  A*25:01-B*58:17N-C*03:02-DRB1*11:01  Poland DKMS 0.000300020,653
 14,420  A*31:01-B*14:02-C*03:38-DRB1*01:02  Poland DKMS 0.000300020,653
 14,421  A*31:01-B*14:02-C*03:38-DRB1*04:01  Poland DKMS 0.000300020,653
 14,422  A*31:01-B*15:01-C*03:38-DRB1*01:02  Poland DKMS 0.000300020,653
 14,423  A*31:01-B*15:01-C*03:38-DRB1*04:01  Poland DKMS 0.000300020,653
 14,424  A*33:01-B*14:02-C*03:38-DRB1*01:02  Poland DKMS 0.000300020,653
 14,425  A*33:01-B*14:02-C*03:38-DRB1*04:01  Poland DKMS 0.000300020,653
 14,426  A*33:01-B*15:01-C*03:38-DRB1*01:02  Poland DKMS 0.000300020,653
 14,427  A*33:01-B*15:01-C*03:38-DRB1*04:01  Poland DKMS 0.000300020,653
 14,428  A*01:01-B*40:01-C*03:04-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.00029302,492
 14,429  A*02:17-B*40:02-C*03:05-DRB1*04:11-DRB4*01:01-DQB1*03:02  USA NMDP African American pop 2 0.0002830416,581
 14,430  A*31:01-B*58:34-C*03:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.00027802,492
 14,431  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*01:01:01-DQB1*02:02:01  Poland BMR 0.000249023,595
 14,432  A*23:01:01-B*58:01:01-C*03:02:02-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.000244123,595
 14,433  A*24:02-B*15:01-C*03:03-DRB1*10:01-DQB1*05:03  India Tamil Nadu 0.00023502,492
 14,434  A*24:02-B*15:01-C*03:03-DRB1*10:02-DQB1*05:01  India Tamil Nadu 0.00023502,492
 14,435  A*24:02-B*15:05-C*03:03-DRB1*10:01-DQB1*05:03  India Tamil Nadu 0.00023502,492
 14,436  A*24:02-B*15:05-C*03:03-DRB1*10:02-DQB1*05:01  India Tamil Nadu 0.00023502,492
 14,437  A*24:07-B*15:75-C*03:88-DRB1*10:01-DQB1*05:03  India Tamil Nadu 0.00023502,492
 14,438  A*24:07-B*15:75-C*03:88-DRB1*10:02-DQB1*05:01  India Tamil Nadu 0.00023502,492
 14,439  A*01:01:01-B*55:01:01-C*03:03:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.000226823,595
 14,440  A*02:01-B*13:01-C*03:04-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Mexican or Chicano 0.0002170261,235
 14,441  A*30:01:01-B*15:01:01-C*03:04:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.000201423,595
 14,442  A*02:17-B*40:02-C*03:05-DRB1*04:11-DRB4*01:01-DQB1*03:02  USA NMDP European Caucasian 0.00020081,242,890
 14,443  A*23:01-B*51:01-C*03:03-DRB1*13:01  Poland DKMS 0.000200020,653
 14,444  A*03:01:01-B*40:01:02-C*03:04:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.000183523,595
 14,445  A*11:01-B*40:01-C*03:04-DRB1*08:03-DQB1*03:02  India Tamil Nadu 0.00016002,492
 14,446  A*11:01-B*40:01-C*03:04-DRB1*08:04-DQB1*03:01  India Tamil Nadu 0.00016002,492
 14,447  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP Japanese 0.000148024,582
 14,448  A*68:01:01-B*35:01:01-C*03:03:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.000132523,595
 14,449  A*02:06-B*35:01-C*03:03-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP South Asian Indian 0.0001310185,391
 14,450  A*02:01-B*13:01-C*03:04-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP European Caucasian 0.00012301,242,890
 14,451  A*32:01:01-B*40:02:01-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.000112723,595
 14,452  A*26:01:01-B*40:01:02-C*03:04:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.000105523,595
 14,453  A*02:06-B*35:01-C*03:03-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP African American pop 2 0.0001040416,581
 14,454  A*31:01-B*40:01-C*03:04-DRB1*01:01  Poland DKMS 0.000100020,653
 14,455  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP South Asian Indian 0.0000900185,391
 14,456  A*02:06-B*35:01-C*03:03-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP European Caucasian 0.00007291,242,890
 14,457  A*03:01-B*40:06-C*03:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.00002512,492
 14,458  A*03:01-B*40:06-C*03:04-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.00002512,492
 14,459  A*03:02-B*40:01-C*03:04-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.00002512,492
 14,460  A*02:01-B*40:01-C*03:04-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Southeast Asian 0.000012027,978
 14,461  A*33:03-B*58:34-C*03:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00000902,492
 14,462  A*02:01-B*40:01-C*03:04-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Vietnamese 0.000003043,540
 14,463  A*24:02-B*15:01-C*03:03-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00000032,492
 14,464  A*33:03-B*15:01-C*03:03-DRB1*13:02-DQB1*06:05  India Tamil Nadu 0.00000032,492
 14,465  A*33:03-B*15:01-C*03:03-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.00000032,492
 14,466  A*33:03-B*15:05-C*03:03-DRB1*13:02-DQB1*06:05  India Tamil Nadu 0.00000032,492
 14,467  A*33:03-B*15:05-C*03:03-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.00000032,492
 14,468  A*02:01-B*35:01-C*03:03  Italy pop 5 0.0000000975
 14,469  A*02-B*40-C*03-DRB1*04  Myanmar Shan 0.000000054
 14,470  A*02-B*40-C*03-DRB1*15-DQB1*05-DPB1*04  Myanmar Kayin 0.000000044
 14,471  A*02-B*40-C*03-DRB1*15-DQB1*05-DPB1*08  Myanmar Kayin 0.000000044
 14,472  A*02-B*55-C*03-DRB1*04  Myanmar Kachin 0.000000063
 14,473  A*03:01-B*40:02-C*03:04-DRB1*11:04  Poland DKMS 0.000000020,653
 14,474  A*03:12-B*27:05-C*03:03-DRB1*03:01  Poland DKMS 0.000000020,653
 14,475  A*26:01-B*40:02-C*03:03-DRB1*09:01  Poland DKMS 0.000000020,653

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 14,401 to 14,475 (from 14,475) records   Pages: 141 142 143 144 145 of 145  


   

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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