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 10,601 to 10,656 (from 10,656) records   Pages: 101 102 103 104 105 106 107 of 107  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 10,601  A*01:01-B*55:01-C*03:03-DRB1*14:01  Poland DKMS 0.000600020,653
 10,602  A*01:01-C*03:02  China Hubei Han 0.00060003,732
 10,603  A*01:01-B*53:01-DRB1*04:01  Israel USSR Jews 0.000590045,681
 10,604  A*01:01-B*53:01-DRB1*04:03  Israel USSR Jews 0.000590045,681
 10,605  A*01:01-B*53:01-DRB1*04:04  Israel USSR Jews 0.000590045,681
 10,606  A*01:01-B*40:01-DRB1*09:01  Israel USSR Jews 0.000583045,681
 10,607  A*01:01:01-B*52:01:01-C*12:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.000580523,595
 10,608  A*01:01-B*49:01-DRB1*12:01  Israel USSR Jews 0.000564045,681
 10,609  A*01:01-B*55:01-DRB1*11:01  Israel USSR Jews 0.000550045,681
 10,610  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.000548923,595
 10,611  A*01:01-B*35:22-DRB1*11:04  Israel USSR Jews 0.000547045,681
 10,612  A*01:01-B*35:32-DRB1*11:04  Israel USSR Jews 0.000547045,681
 10,613  A*01:01:01-B*51:01:01-C*01:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.000541523,595
 10,614  A*01:01-B*07:05-C*15:05-DRB1*04:05  Poland DKMS 0.000500020,653
 10,615  A*01:01-B*08:01  China Hubei Han 0.00050003,732
 10,616  A*01:01-B*13:02  China Hubei Han 0.00050003,732
 10,617  A*01:01-B*35:01-C*04:01-DRB1*03:01  Poland DKMS 0.000500020,653
 10,618  A*01:01-B*35:03  China Hubei Han 0.00050003,732
 10,619  A*01:01-B*46:01  China Hubei Han 0.00050003,732
 10,620  A*01:01:01-B*40:02:01-C*02:02:02-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.000482323,595
 10,621  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*01:01:01-DQB1*03:03:02  Poland BMR 0.000469923,595
 10,622  A*01:01:01-B*38:01:01-C*12:03:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.000408323,595
 10,623  A*01:01-B*35:08-C*04:01-DRB1*01:01  Poland DKMS 0.000400020,653
 10,624  A*01:01-B*40:02-C*02:02-DRB1*01:01  Poland DKMS 0.000400020,653
 10,625  A*01:01:01-B*27:02:01-C*07:01:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.000398523,595
 10,626  A*01:01:01-B*35:03:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.000369523,595
 10,627  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP South Asian Indian 0.0003620185,391
 10,628  A*01:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Vietnamese 0.000328043,540
 10,629  A*01:01-B*40:01-C*03:04-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.00029302,492
 10,630  A*01:01:01-B*41:01:01-C*17:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.000264823,595
 10,631  A*01:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.000232923,595
 10,632  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
 10,633  A*01:01:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQB1*06:02:01  Poland BMR 0.000190323,595
 10,634  A*01:01:01-B*44:03:01-C*04:01:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.000128523,595
 10,635  A*01:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*06:02:01  Poland BMR 0.000100723,595
 10,636  A*01:01-B*07:02-C*07:02-DRB1*04:04  Poland DKMS 0.000100020,653
 10,637  A*01:01-B*13:02-C*06:02-DRB1*13:02  Poland DKMS 0.000100020,653
 10,638  A*01:01-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.00006772,492
 10,639  A*01:01-B*07:02-C*07:02-DRB1*08:03-DQB1*06:01  India Tamil Nadu 0.00005202,492
 10,640  A*01:01-B*40:02-C*15:02-DRB1*08:03-DQB1*06:01  India Tamil Nadu 0.00002002,492
 10,641  A*01:01-B*40:06-C*15:07-DRB1*08:03-DQB1*06:01  India Tamil Nadu 0.00002002,492
 10,642  A*01:01-B*40:02-C*15:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00000572,492
 10,643  A*01:01-B*40:06-C*15:07-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00000572,492
 10,644  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*03:03  USA NMDP Japanese 0.000002024,582
 10,645  A*01:01-B*55:01-C*01:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00000152,492
 10,646  A*01:01-B*51:01-C*16:02-DRB1*11:04-DQB1*03:01  India Tamil Nadu 0.00000092,492
 10,647  A*01:01-B*13:01-C*04:03-DRB1*09:01-DQB1*03:02  India Tamil Nadu 0.00000042,492
 10,648  A*01:01-B*15:18-C*07:04-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.00000032,492
 10,649  A*01:01-B*08:01-C*07:18-DRB1*03:01  Italy pop 5 0.0000000975
 10,650  A*01:01-B*15:01-C*01:02-DRB1*07:01  Poland DKMS 0.000000020,653
 10,651  A*01:01-B*39:01-C*12:04-DRB1*15:01-DQB1*05:01  India Tamil Nadu 0.00000002,492
 10,652  A*01:01-B*39:01-C*12:04-DRB1*15:01-DQB1*05:03  India Tamil Nadu 0.00000002,492
 10,653  A*01:01-B*39:01-C*12:04-DRB1*15:02-DQB1*05:01  India Tamil Nadu 0.00000002,492
 10,654  A*01:01-B*39:01-C*12:04-DRB1*15:02-DQB1*05:02  India Tamil Nadu 0.00000002,492
 10,655  A*01:01-B*39:01-C*12:04-DRB1*15:04-DQB1*05:02  India Tamil Nadu 0.00000002,492
 10,656  A*01:01-B*51:05-C*04:01-DRB1*14:04  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 10,601 to 10,656 (from 10,656) records   Pages: 101 102 103 104 105 106 107 of 107  


   

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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