Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 1,601 to 1,700 (from 7,209) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 73  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1,601  A*30:01-B*57:03-C*01:35-DRB1*15:03-DQB1*06:02-DPB1*15:01  Tanzania Maasai 0.1597336
 1,602  A*30:01-B*58:01-C*03:02-DRB1*15:03-DQB1*06:02-DPB1*133:01  Tanzania Maasai 0.1597336
 1,603  A*30:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*17:01  Tanzania Maasai 0.1597336
 1,604  A*30:02-B*13:02-C*06:02-DRB1*11:01-DQB1*06:02-DPB1*40:01  Tanzania Maasai 0.1597336
 1,605  A*30:02-B*15:03-C*06:04-DRB1*15:03-DQB1*05:01-DPB1*15:01  Tanzania Maasai 0.1597336
 1,606  A*30:02-B*15:10-C*03:04-DRB1*01:02-DQB1*05:01-DPB1*02:01  Tanzania Maasai 0.1597336
 1,607  A*30:02-B*44:15-C*06:02-DRB1*11:01-DQB1*03:19-DPB1*01:01  Tanzania Maasai 0.1597336
 1,608  A*30:02-B*45:01-C*06:02-DRB1*11:01-DQB1*03:19-DPB1*105:01  Tanzania Maasai 0.1597336
 1,609  A*30:02-B*45:01-C*16:04-DRB1*03:01-DQB1*05:01-DPB1*03:01  Tanzania Maasai 0.1597336
 1,610  A*30:02-B*45:01-C*16:24-DRB1*01:02-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.1597336
 1,611  A*30:02-B*53:01-C*04:01-DRB1*01:02-DQB1*05:01-DPB1*105:01  Tanzania Maasai 0.1597336
 1,612  A*30:02-B*53:01-C*06:02-DRB1*13:02-DQB1*05:01-DPB1*04:01  Tanzania Maasai 0.1597336
 1,613  A*30:02-B*57:03-C*04:01-DRB1*11:01-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 1,614  A*30:02-B*57:03-C*06:15-DRB1*03:02-DQB1*05:01-DPB1*02:01  Tanzania Maasai 0.1597336
 1,615  A*30:02-B*57:03-C*07:170-DRB1*01:02-DQB1*05:01-DPB1*02:01  Tanzania Maasai 0.1597336
 1,616  A*30:02-B*58:02-C*16:01-DRB1*01:02-DQB1*03:01-DPB1*105:01  Tanzania Maasai 0.1597336
 1,617  A*30:04-B*14:02-C*05:01-DRB1*03:02-DQB1*06:09-DPB1*01:01  Tanzania Maasai 0.1597336
 1,618  A*30:04-B*39:24-C*07:01-DRB1*13:03-DQB1*03:02-DPB1*01:01  Tanzania Maasai 0.1597336
 1,619  A*30:04-B*41:01-C*02:09-DRB1*13:01-DQB1*06:03-DPB1*131:01  Tanzania Maasai 0.1597336
 1,620  A*30:04-B*41:01-C*07:249-DRB1*04:05-DQB1*03:02-DPB1*01:01  Tanzania Maasai 0.1597336
 1,621  A*30:04-B*44:03-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 1,622  A*30:04-B*44:03-C*04:143-DRB1*07:01-DQB1*03:01-DPB1*03:01  Tanzania Maasai 0.1597336
 1,623  A*30:04-B*45:01-C*08:04-DRB1*03:02-DQB1*04:02-DPB1*03:01  Tanzania Maasai 0.1597336
 1,624  A*30:04-B*57:03-C*08:13-DRB1*03:01-DQB1*06:02-DPB1*03:01  Tanzania Maasai 0.1597336
 1,625  A*30:04-B*58:02-C*06:02-DRB1*11:02-DQB1*03:01-DPB1*02:01  Tanzania Maasai 0.1597336
 1,626  A*30:08-B*41:01-C*07:01-DRB1*04:05-DQB1*03:19-DPB1*01:01  Tanzania Maasai 0.1597336
 1,627  A*30:09-B*53:01-C*04:01-DRB1*11:01-DQB1*06:02-DPB1*01:01  Tanzania Maasai 0.1597336
 1,628  A*30:09-B*58:02-C*06:02-DRB1*03:02-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.1597336
 1,629  A*30:09-B*58:02-C*06:02-DRB1*15:03-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 1,630  A*30:10-B*13:02-C*06:02-DRB1*13:02-DQB1*03:03-DPB1*18:01  Tanzania Maasai 0.1597336
 1,631  A*30:10-B*35:01-C*06:02-DRB1*11:01-DQB1*03:02-DPB1*02:01  Tanzania Maasai 0.1597336
 1,632  A*30:10-B*49:01-C*06:157-DRB1*13:02-DQB1*06:04-DPB1*04:02  Tanzania Maasai 0.1597336
 1,633  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.15943,456,066
 1,634  A*30:02-B*18:01-DRB1*03:01  Israel Morocco Jews 0.159036,718
 1,635  A*30:02-B*58:01-DRB1*07:01  Israel USA Jews 0.15906,058
 1,636  A*30:01-B*38:01-DRB1*13:02  Israel Kavkazi Jews 0.15802,840
 1,637  A*30:01-B*53:01-DRB1*13:02  Israel Ethiopia Jews 0.15705,928
 1,638  A*30:02-B*13:02-DRB1*03:01  Israel Druze 0.15705,914
 1,639  A*30:01-B*13:02-C*06:02-DRB1*03:01  Germany DKMS - China minority 0.15601,282
 1,640  A*30:01-B*58:01  USA African American pop 4 0.15602,411
 1,641  A*30-B*18-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.1560641
 1,642  A*30-B*42-DRB1*03:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.1560641
 1,643  A*30:02-B*57:03-C*18:01-DRB1*13:01-DQB1*05:01  USA NMDP Black South or Central American 0.15524,889
 1,644  A*30:02-B*52:01-DRB1*04:03  Israel Iran Jews 0.15508,153
 1,645  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA NMDP Black South or Central American 0.15494,889
 1,646  A*30:01-B*44:03-DRB1*07:01  Israel Iran Jews 0.15408,153
 1,647  A*30:01-B*49:01-DRB1*03:01  Israel Ethiopia Jews 0.15305,928
 1,648  A*30-B*07-DRB1*04-DQB1*03:02  Mexico Durango Rural 0.1529326
 1,649  A*30-B*08-DRB1*13-DQB1*06  Mexico Durango Rural 0.1529326
 1,650  A*30-B*14:02-DRB1*11-DQB1*03:01  Mexico Durango Rural 0.1529326
 1,651  A*30-B*14:02-DRB1*12-DQB1*03:01  Mexico Durango Rural 0.1529326
 1,652  A*30-B*18-DRB1*11-DQB1*03:01  Mexico Durango Rural 0.1529326
 1,653  A*30-B*18-DRB1*15-DQB1*06  Mexico Durango Rural 0.1529326
 1,654  A*30-B*35-DRB1*11-DQB1*03:01  Mexico Durango Rural 0.1529326
 1,655  A*30-B*41-DRB1*03:01-DQB1*02  Mexico Durango Rural 0.1529326
 1,656  A*30-B*41-DRB1*13-DQB1*03:01  Mexico Durango Rural 0.1529326
 1,657  A*30-B*41-DRB1*13-DQB1*06  Mexico Durango Rural 0.1529326
 1,658  A*30-B*45-DRB1*07-DQB1*02  Mexico Durango Rural 0.1529326
 1,659  A*30-B*49-DRB1*03:01-DQB1*02  Mexico Durango Rural 0.1529326
 1,660  A*30-B*58-DRB1*04-DQB1*03:02  Mexico Durango Rural 0.1529326
 1,661  A*30-B*58-DRB1*13-DQB1*06  Mexico Durango Rural 0.1529326
 1,662  A*30-B*35-DRB1*08  Brazil Para Cord Blood Unit 0.1528841
 1,663  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*17:01:01  Saudi Arabia pop 6 (G) 0.152128,927
 1,664  A*30:02-B*53:01-DRB1*10:01  Israel Ethiopia Jews 0.15205,928
 1,665  A*30-B*42-DRB1*08  Brazil South East Cord Blood 0.152011,409
 1,666  A*30:01-B*08:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 1,667  A*30:01-B*08:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 1,668  A*30:01-B*13:01-DRB1*07:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 1,669  A*30:01-B*13:01-DRB1*15:01-DQB1*06:02  Mexico Mexico City Tlalpan 0.1515330
 1,670  A*30:01-B*14:02-DRB1*03:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 1,671  A*30:01-B*18:07-DRB1*11:04-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 1,672  A*30:01-B*35:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Tlalpan 0.1515330
 1,673  A*30:01-B*38:01-DRB1*01:01-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 1,674  A*30:01-B*39:01-DRB1*03:03-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 1,675  A*30:01-B*39:01-DRB1*13:01-DQB1*06:04  Mexico Mexico City Tlalpan 0.1515330
 1,676  A*30:01-B*40:01-DRB1*01:01-DQB1*06:02  Mexico Mexico City Tlalpan 0.1515330
 1,677  A*30:01-B*40:01-DRB1*01:02-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 1,678  A*30:01-B*40:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 1,679  A*30:01-B*40:02-DRB1*04:03-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 1,680  A*30:01-B*42:01-DRB1*13:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 1,681  A*30:01-B*42:04-DRB1*13:01-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 1,682  A*30:01-B*49:01-DRB1*01:02-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 1,683  A*30:01-B*49:01-DRB1*04:02-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 1,684  A*30:01-B*53:01-DRB1*13:02-DQB1*05:02  Mexico Mexico City Tlalpan 0.1515330
 1,685  A*30:01-B*53:01-DRB1*13:02-DQB1*06:04  Mexico Mexico City Tlalpan 0.1515330
 1,686  A*30:01-B*13:02-C*06:02-DRB1*07:01  Japan pop 16 0.151018,604
 1,687  A*30:01-B*35:02-DRB1*11:04  Israel Bukhara Jews 0.15102,317
 1,688  A*30:04-B*44:03  USA Hispanic pop 2 0.15101,999
 1,689  A*30:10-B*41:01  USA Hispanic pop 2 0.15101,999
 1,690  A*30:01-B*40:01-DRB1*11:04  Israel Iraq Jews 0.150013,270
 1,691  A*30:02-B*78:01  USA African American pop 4 0.15002,411
 1,692  A*30:04-B*18:01-C*07:01  Italy pop 5 0.1500975
 1,693  A*30-B*08-DRB1*07  Italy Lombardy 0.1500674
 1,694  A*30-B*13-DRB1*13  Russia Moscow Pop 2 0.15002,000
 1,695  A*30-B*35-DRB1*13  Italy Lombardy 0.1500674
 1,696  A*30:04-B*51:01-DRB1*08:04  Israel Ethiopia Jews 0.14805,928
 1,697  A*30:02-B*07:02-C*07:02-DRB1*09:01-DQB1*02:01  USA NMDP Caribean Indian 0.147414,339
 1,698  A*30-B*44-DRB1*01  Brazil Para Cord Blood Unit 0.1466841
 1,699  A*30:02-B*14:01-C*08:02-DRB1*07:01  Germany DKMS - Netherlands minority 0.14601,374
 1,700  A*30:02-B*18:01-C*05:01-DRB1*03:01  Germany DKMS - Croatia minority 0.14602,057

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 1,601 to 1,700 (from 7,209) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 73  


   

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.

support@allelefrequencies.net


Valid XHTML 1.0 Transitional