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 12,501 to 12,573 (from 12,573) records   Pages: 121 122 123 124 125 126 of 126  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 12,501  A*68:01:02-B*49:01:01-C*07:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.000143823,595
 12,502  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
 12,503  A*68:02:01-B*56:01:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.000102423,595
 12,504  A*68:01-B*41:01-C*17:01-DRB1*04:05  Poland DKMS 0.000100020,653
 12,505  A*68:01-B*55:01-C*04:01-DRB1*04:02-DQB1*03:02  India Tamil Nadu 0.00006012,492
 12,506  A*68:01-B*55:01-C*04:01-DRB1*04:08-DQB1*03:01  India Tamil Nadu 0.00006012,492
 12,507  A*68:01-B*58:02-C*06:02-DRB1*12:01-DRB3*02:02-DQB1*05:01  USA NMDP European Caucasian 0.00004021,242,890
 12,508  A*68:01-B*51:01-C*16:02-DRB1*11:04-DQB1*03:01  India Tamil Nadu 0.00002552,492
 12,509  A*68:01-B*51:01-C*16:02-DRB1*11:06-DQB1*03:01  India Tamil Nadu 0.00002552,492
 12,510  A*68:01-B*51:01-C*16:02-DRB1*11:08-DQB1*03:01  India Tamil Nadu 0.00002552,492
 12,511  A*68:01-B*51:01-C*16:02-DRB1*11:11-DQB1*03:01  India Tamil Nadu 0.00002552,492
 12,512  A*68:01-B*07:02-C*07:02-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.00001932,492
 12,513  A*68:02-B*57:03-C*07:01-DRB1*03:02-DRB3*03:01-DQB1*04:02  USA NMDP Japanese 0.000014024,582
 12,514  A*68:01-B*07:02-C*07:02-DRB1*13:02-DQB1*06:05  India Tamil Nadu 0.00000432,492
 12,515  A*68:01-B*40:06-C*07:02-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.00000402,492
 12,516  A*68:01-B*15:01-C*04:01-DRB1*12:02-DQB1*03:02  India Tamil Nadu 0.00000282,492
 12,517  A*68:01-B*15:01-C*04:01-DRB1*12:02-DQB1*03:03  India Tamil Nadu 0.00000282,492
 12,518  A*68:01-B*15:01-C*04:01-DRB1*12:02-DQB1*03:04  India Tamil Nadu 0.00000282,492
 12,519  A*68:01-B*15:18-C*04:01-DRB1*12:02-DQB1*03:02  India Tamil Nadu 0.00000282,492
 12,520  A*68:01-B*15:18-C*04:01-DRB1*12:02-DQB1*03:03  India Tamil Nadu 0.00000282,492
 12,521  A*68:01-B*15:18-C*04:01-DRB1*12:02-DQB1*03:04  India Tamil Nadu 0.00000282,492
 12,522  A*68:01-B*56:01-C*04:01-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00000252,492
 12,523  A*68:01-B*56:01-C*04:01-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00000252,492
 12,524  A*68:01-B*35:03-C*04:01-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.00000102,492
 12,525  A*68:01-B*40:06-C*15:02-DRB1*04:05-DQB1*04:02  India Tamil Nadu 0.00000082,492
 12,526  A*68:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.00000042,492
 12,527  A*68:01-B*56:01-C*04:01-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.00000042,492
 12,528  A*68:01-B*40:06-C*15:07-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.00000032,492
 12,529  A*68:01-B*07:23-C*12:03-DRB1*15:01  Poland DKMS 0.000000020,653
 12,530  A*68:01-B*51:01-C*05:01-DRB1*13:03  Poland DKMS 0.000000020,653
 12,531  A*68:01-B*51:01-C*16:02-DRB1*16:02  Italy pop 5 0.0000000975
 12,532  A*68:01-B*51:15-C*01:02-DRB1*11:01  Poland DKMS 0.000000020,653
 12,533  A*68:01-B*51:15-C*01:02-DRB1*13:01  Poland DKMS 0.000000020,653
 12,534  A*68:01-B*51:15-C*04:01-DRB1*11:01  Poland DKMS 0.000000020,653
 12,535  A*68:01-B*51:15-C*04:01-DRB1*13:01  Poland DKMS 0.000000020,653
 12,536  A*68:01-B*52:01-C*12:02-DRB1*15:19  Poland DKMS 0.000000020,653
 12,537  A*68:01-B*56:09-C*01:02-DRB1*11:01  Poland DKMS 0.000000020,653
 12,538  A*68:01-B*56:09-C*01:02-DRB1*13:01  Poland DKMS 0.000000020,653
 12,539  A*68:01-B*56:09-C*04:01-DRB1*11:01  Poland DKMS 0.000000020,653
 12,540  A*68:01-B*56:09-C*04:01-DRB1*13:01  Poland DKMS 0.000000020,653
 12,541  A*68:03-B*51:15-C*01:02-DRB1*11:01  Poland DKMS 0.000000020,653
 12,542  A*68:03-B*51:15-C*01:02-DRB1*13:01  Poland DKMS 0.000000020,653
 12,543  A*68:03-B*51:15-C*04:01-DRB1*11:01  Poland DKMS 0.000000020,653
 12,544  A*68:03-B*51:15-C*04:01-DRB1*13:01  Poland DKMS 0.000000020,653
 12,545  A*68:03-B*56:09-C*01:02-DRB1*11:01  Poland DKMS 0.000000020,653
 12,546  A*68:03-B*56:09-C*01:02-DRB1*13:01  Poland DKMS 0.000000020,653
 12,547  A*68:03-B*56:09-C*04:01-DRB1*11:01  Poland DKMS 0.000000020,653
 12,548  A*68:03-B*56:09-C*04:01-DRB1*13:01  Poland DKMS 0.000000020,653
 12,549  A*68:05-B*51:15-C*01:02-DRB1*11:01  Poland DKMS 0.000000020,653
 12,550  A*68:05-B*51:15-C*01:02-DRB1*13:01  Poland DKMS 0.000000020,653
 12,551  A*68:05-B*51:15-C*04:01-DRB1*11:01  Poland DKMS 0.000000020,653
 12,552  A*68:05-B*51:15-C*04:01-DRB1*13:01  Poland DKMS 0.000000020,653
 12,553  A*68:05-B*56:09-C*01:02-DRB1*11:01  Poland DKMS 0.000000020,653
 12,554  A*68:05-B*56:09-C*01:02-DRB1*13:01  Poland DKMS 0.000000020,653
 12,555  A*68:05-B*56:09-C*04:01-DRB1*11:01  Poland DKMS 0.000000020,653
 12,556  A*68:05-B*56:09-C*04:01-DRB1*13:01  Poland DKMS 0.000000020,653
 12,557  A*68:08-B*51:15-C*01:02-DRB1*11:01  Poland DKMS 0.000000020,653
 12,558  A*68:08-B*51:15-C*01:02-DRB1*13:01  Poland DKMS 0.000000020,653
 12,559  A*68:08-B*51:15-C*04:01-DRB1*11:01  Poland DKMS 0.000000020,653
 12,560  A*68:08-B*51:15-C*04:01-DRB1*13:01  Poland DKMS 0.000000020,653
 12,561  A*68:08-B*56:09-C*01:02-DRB1*11:01  Poland DKMS 0.000000020,653
 12,562  A*68:08-B*56:09-C*01:02-DRB1*13:01  Poland DKMS 0.000000020,653
 12,563  A*68:08-B*56:09-C*04:01-DRB1*11:01  Poland DKMS 0.000000020,653
 12,564  A*68:08-B*56:09-C*04:01-DRB1*13:01  Poland DKMS 0.000000020,653
 12,565  A*68:23-B*51:15-C*01:02-DRB1*11:01  Poland DKMS 0.000000020,653
 12,566  A*68:23-B*51:15-C*01:02-DRB1*13:01  Poland DKMS 0.000000020,653
 12,567  A*68:23-B*51:15-C*04:01-DRB1*11:01  Poland DKMS 0.000000020,653
 12,568  A*68:23-B*51:15-C*04:01-DRB1*13:01  Poland DKMS 0.000000020,653
 12,569  A*68:23-B*56:09-C*01:02-DRB1*11:01  Poland DKMS 0.000000020,653
 12,570  A*68:23-B*56:09-C*01:02-DRB1*13:01  Poland DKMS 0.000000020,653
 12,571  A*68:23-B*56:09-C*04:01-DRB1*11:01  Poland DKMS 0.000000020,653
 12,572  A*68:23-B*56:09-C*04:01-DRB1*13:01  Poland DKMS 0.000000020,653
 12,573  A*68-B*56-C*01-DRB1*15  Myanmar Chin 0.000000055

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 12,501 to 12,573 (from 12,573) records   Pages: 121 122 123 124 125 126 of 126  


   

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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