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 17,801 to 17,895 (from 17,895) records   Pages: 171 172 173 174 175 176 177 178 179 of 179  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 17,801  A*02:03-B*15:02-C*08:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.00045102,492
 17,802  A*02:03-B*15:02-C*08:01-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.00045102,492
 17,803  A*02:03-B*15:02-C*08:01-DRB1*04:08-DQB1*03:01  India Tamil Nadu 0.00045102,492
 17,804  A*02:06-B*15:02-C*08:01-DRB1*04:01-DQB1*03:02  India Tamil Nadu 0.00045102,492
 17,805  A*02:06-B*15:02-C*08:01-DRB1*04:02-DQB1*03:02  India Tamil Nadu 0.00045102,492
 17,806  A*02:06-B*15:02-C*08:01-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.00045102,492
 17,807  A*02:06-B*15:02-C*08:01-DRB1*04:08-DQB1*03:01  India Tamil Nadu 0.00045102,492
 17,808  A*02:11-B*15:02-C*08:01-DRB1*04:01-DQB1*03:02  India Tamil Nadu 0.00045102,492
 17,809  A*02:11-B*15:02-C*08:01-DRB1*04:02-DQB1*03:02  India Tamil Nadu 0.00045102,492
 17,810  A*02:11-B*15:02-C*08:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.00045102,492
 17,811  A*02:11-B*15:02-C*08:01-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.00045102,492
 17,812  A*02:11-B*15:02-C*08:01-DRB1*04:08-DQB1*03:01  India Tamil Nadu 0.00045102,492
 17,813  A*11:01-B*15:02-C*08:01-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP Caribean Hispanic 0.0004330115,374
 17,814  A*03:01:01-B*15:01:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.000421023,595
 17,815  A*31:01-B*15:01-C*03:03-DRB1*14:01  Poland DKMS 0.000400020,653
 17,816  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP Korean 0.000399077,584
 17,817  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
 17,818  A*24:17-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Middle Eastern or North Coast of Africa 0.000353070,890
 17,819  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
 17,820  A*24:07-B*15:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*93:01  United Arab Emirates Pop 1 0.0003140570
 17,821  A*11:01:01-B*15:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.000308523,595
 17,822  A*31:01-B*15:01-C*03:38-DRB1*01:02  Poland DKMS 0.000300020,653
 17,823  A*31:01-B*15:01-C*03:38-DRB1*04:01  Poland DKMS 0.000300020,653
 17,824  A*31:01-B*15:01-C*05:25-DRB1*01:02  Poland DKMS 0.000300020,653
 17,825  A*31:01-B*15:01-C*05:25-DRB1*04:01  Poland DKMS 0.000300020,653
 17,826  A*33:01-B*15:01-C*03:38-DRB1*01:02  Poland DKMS 0.000300020,653
 17,827  A*33:01-B*15:01-C*03:38-DRB1*04:01  Poland DKMS 0.000300020,653
 17,828  A*33:01-B*15:01-C*05:25-DRB1*01:02  Poland DKMS 0.000300020,653
 17,829  A*33:01-B*15:01-C*05:25-DRB1*04:01  Poland DKMS 0.000300020,653
 17,830  A*68:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.00027402,492
 17,831  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
 17,832  A*24:02-B*15:01-C*03:03-DRB1*10:01-DQB1*05:03  India Tamil Nadu 0.00023502,492
 17,833  A*24:02-B*15:01-C*03:03-DRB1*10:02-DQB1*05:01  India Tamil Nadu 0.00023502,492
 17,834  A*24:02-B*15:05-C*03:03-DRB1*10:01-DQB1*05:03  India Tamil Nadu 0.00023502,492
 17,835  A*24:02-B*15:05-C*03:03-DRB1*10:02-DQB1*05:01  India Tamil Nadu 0.00023502,492
 17,836  A*24:07-B*15:75-C*03:88-DRB1*10:01-DQB1*05:03  India Tamil Nadu 0.00023502,492
 17,837  A*24:07-B*15:75-C*03:88-DRB1*10:02-DQB1*05:01  India Tamil Nadu 0.00023502,492
 17,838  A*02:03-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP African American pop 2 0.0002060416,581
 17,839  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
 17,840  A*02:03-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Mexican or Chicano 0.0001730261,235
 17,841  A*34:01-B*15:21-C*04:03-DRB1*15:02-DRB5*01:01-DQB1*05:02  USA NMDP Hispanic South or Central American 0.0001700146,714
 17,842  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP Japanese 0.000148024,582
 17,843  A*24:02:01-B*15:01:01-C*04:01:01-DRB1*10:01:01-DQB1*03:03:02  Poland BMR 0.000133223,595
 17,844  A*11:01-B*15:02-C*08:01-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP African American pop 2 0.0001200416,581
 17,845  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
 17,846  A*24:02-B*15:18-C*07:04-DRB1*15:01-DQB1*05:02  India Tamil Nadu 0.00006852,492
 17,847  A*34:01-B*15:21-C*04:03-DRB1*15:02-DRB5*01:01-DQB1*05:02  USA NMDP Chinese 0.000060099,672
 17,848  A*34:01-B*15:35-C*07:02-DRB1*04:05-DRB4*01:01-DQB1*04:02  USA NMDP Vietnamese 0.000048043,540
 17,849  A*11:01-B*15:02-C*08:01-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP European Caucasian 0.00004021,242,890
 17,850  A*24:02-B*15:01-C*12:03-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.00002572,492
 17,851  A*02:03-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP European Caucasian 0.00002071,242,890
 17,852  A*11:01-B*15:25-C*04:03-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP European Caucasian 0.00002071,242,890
 17,853  A*24:17-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP European Caucasian 0.00002011,242,890
 17,854  A*34:01-B*15:21-C*04:03-DRB1*15:02-DRB5*01:01-DQB1*05:02  USA NMDP European Caucasian 0.00002011,242,890
 17,855  A*24:02-B*15:25-C*07:26-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.00001952,492
 17,856  A*11:01-B*15:35-C*07:02-DRB1*15:02-DRB5*01:01-DQB1*05:02  USA NMDP Chinese 0.000015099,672
 17,857  A*34:01-B*15:35-C*07:02-DRB1*15:02-DRB5*01:01-DQB1*05:02  USA NMDP Chinese 0.000015099,672
 17,858  A*34:01-B*15:35-C*07:02-DRB1*15:02-DRB5*01:01-DQB1*05:02  USA NMDP European Caucasian 0.00001341,242,890
 17,859  A*11:01-B*15:02-C*08:01-DRB1*14:01-DQB1*05:03  India Tamil Nadu 0.00000492,492
 17,860  A*11:01-B*15:02-C*08:01-DRB1*14:15-DQB1*05:03  India Tamil Nadu 0.00000492,492
 17,861  A*68:01-B*15:01-C*04:01-DRB1*12:02-DQB1*03:02  India Tamil Nadu 0.00000282,492
 17,862  A*68:01-B*15:01-C*04:01-DRB1*12:02-DQB1*03:03  India Tamil Nadu 0.00000282,492
 17,863  A*68:01-B*15:01-C*04:01-DRB1*12:02-DQB1*03:04  India Tamil Nadu 0.00000282,492
 17,864  A*68:01-B*15:18-C*04:01-DRB1*12:02-DQB1*03:02  India Tamil Nadu 0.00000282,492
 17,865  A*68:01-B*15:18-C*04:01-DRB1*12:02-DQB1*03:03  India Tamil Nadu 0.00000282,492
 17,866  A*68:01-B*15:18-C*04:01-DRB1*12:02-DQB1*03:04  India Tamil Nadu 0.00000282,492
 17,867  A*11:03-B*15:02-C*08:01-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.00000132,492
 17,868  A*02:06-B*15:18-C*07:04-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00000122,492
 17,869  A*24:07-B*15:02-C*08:01-DRB1*15:01-DQB1*02:01  India Tamil Nadu 0.00000042,492
 17,870  A*24:07-B*15:02-C*08:01-DRB1*15:02-DQB1*02:01  India Tamil Nadu 0.00000042,492
 17,871  A*24:17-B*15:02-C*08:01-DRB1*15:01-DQB1*02:01  India Tamil Nadu 0.00000042,492
 17,872  A*24:17-B*15:02-C*08:01-DRB1*15:02-DQB1*02:01  India Tamil Nadu 0.00000042,492
 17,873  A*01:01-B*15:18-C*07:04-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.00000032,492
 17,874  A*24:02-B*15:01-C*03:03-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00000032,492
 17,875  A*33:03-B*15:01-C*03:03-DRB1*13:02-DQB1*06:05  India Tamil Nadu 0.00000032,492
 17,876  A*33:03-B*15:01-C*03:03-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.00000032,492
 17,877  A*33:03-B*15:05-C*03:03-DRB1*13:02-DQB1*06:05  India Tamil Nadu 0.00000032,492
 17,878  A*33:03-B*15:05-C*03:03-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.00000032,492
 17,879  A*11:03-B*15:02-C*08:01-DRB1*14:01-DQB1*05:03  India Tamil Nadu 0.00000022,492
 17,880  A*11:03-B*15:02-C*08:01-DRB1*14:15-DQB1*05:03  India Tamil Nadu 0.00000022,492
 17,881  A*01:01-B*15:01-C*01:02-DRB1*07:01  Poland DKMS 0.000000020,653
 17,882  A*02-B*15-C*08-DRB1*14  Myanmar Chin 0.000000055
 17,883  A*11-B*15-C*08-DRB1*04  Myanmar Kachin 0.000000063
 17,884  A*11-B*15-C*08-DRB1*14-DQB1*05-DPB1*04  Myanmar Kayin 0.000000044
 17,885  A*11-B*15-C*12-DRB1*04  Myanmar Kachin 0.000000063
 17,886  A*11-B*15-C*12-DRB1*12  Myanmar Kachin 0.000000063
 17,887  A*24:02-B*15:01-C*07:04-DRB1*07:01  Italy pop 5 0.0000000975
 17,888  A*24:07-B*15:01-C*01:02-DRB1*15:01-DQB1*05:01  India Tamil Nadu 0.00000002,492
 17,889  A*24:07-B*15:01-C*01:02-DRB1*15:01-DQB1*05:03  India Tamil Nadu 0.00000002,492
 17,890  A*24:07-B*15:01-C*01:02-DRB1*15:02-DQB1*05:01  India Tamil Nadu 0.00000002,492
 17,891  A*24:07-B*15:01-C*01:02-DRB1*15:02-DQB1*05:02  India Tamil Nadu 0.00000002,492
 17,892  A*24:07-B*15:01-C*01:02-DRB1*15:04-DQB1*05:02  India Tamil Nadu 0.00000002,492
 17,893  A*24-B*15  Iran pop 1 0.000000064
 17,894  A*24-B*15-C*08-DRB1*12  Myanmar Kayah 0.000000055
 17,895  A*24-B*15-C*12-DRB1*15  Myanmar Kachin 0.000000063

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 17,801 to 17,895 (from 17,895) records   Pages: 171 172 173 174 175 176 177 178 179 of 179  


   

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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