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 : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1,901 to 2,000 (from 5,554) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 56  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1,901  A*33:01-B*15:01-C*15:05-DRB1*16:02-DQB1*06:02-DPB1*04:02  Panama 0.1900462
 1,902  A*33:01-B*35:01-C*02:02-DRB1*11:04-DQB1*05:01-DPB1*04:01  Panama 0.1900462
 1,903  A*33:01-B*35:01-C*04:01-DRB1*04:07-DQB1*03:02-DPB1*04:02  Panama 0.1900462
 1,904  A*33:01-B*35:01-C*04:01-DRB1*13:02-DQB1*04:02-DPB1*04:01  Panama 0.1900462
 1,905  A*33:01-B*35:49-C*04:01-DRB1*07:01-DQB1*03:01-DPB1*04:02  Panama 0.1900462
 1,906  A*33:01-B*49:01-C*04:01-DRB1*13:02-DQB1*05:01-DPB1*04:02  Panama 0.1900462
 1,907  A*33:01-B*51:02-C*15:02-DRB1*08:02-DQB1*04:02-DPB1*04:01  Panama 0.1900462
 1,908  A*34:01-B*40:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*04:01  Panama 0.1900462
 1,909  A*34:02-B*15:17-C*05:01-DRB1*14:02-DQB1*02:01-DPB1*04:02  Panama 0.1900462
 1,910  A*34:02-B*39:01-C*03:05-DRB1*08:02-DQB1*03:01-DPB1*04:02  Panama 0.1900462
 1,911  A*34:02-B*51:07-C*04:01-DRB1*11:01-DQB1*06:02-DPB1*04:01  Panama 0.1900462
 1,912  A*36:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Panama 0.1900462
 1,913  A*66:01-B*35:01-C*04:01-DRB1*14:01-DQB1*05:03-DPB1*04:01  Panama 0.1900462
 1,914  A*66:02-B*14:02-C*08:02-DRB1*01:02-DQB1*06:02-DPB1*04:02  Panama 0.1900462
 1,915  A*68:01-B*07:02-C*03:03-DRB1*13:02-DQB1*03:02-DPB1*04:02  Panama 0.1900462
 1,916  A*68:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01-DPB1*04:02  Panama 0.1900462
 1,917  A*68:01-B*15:01-C*03:05-DRB1*14:02-DQB1*03:01-DPB1*04:02  Panama 0.1900462
 1,918  A*68:01-B*27:03-C*02:02-DRB1*07:01-DQB1*02:02-DPB1*04:01  Panama 0.1900462
 1,919  A*68:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02-DPB1*04:02  Panama 0.1900462
 1,920  A*68:01-B*35:31-C*03:04-DRB1*04:07-DQB1*03:02-DPB1*04:02  Panama 0.1900462
 1,921  A*68:01-B*39:05-C*07:02-DRB1*14:02-DQB1*03:01-DPB1*04:02  Panama 0.1900462
 1,922  A*68:01-B*40:02-C*03:05-DRB1*08:02-DQB1*03:02-DPB1*04:02  Panama 0.1900462
 1,923  A*68:01-B*51:01-C*04:01-DRB1*14:06-DQB1*03:02-DPB1*04:02  Panama 0.1900462
 1,924  A*68:01-B*51:01-C*04:01-DRB1*16:01-DQB1*04:02-DPB1*04:02  Panama 0.1900462
 1,925  A*68:01-B*58:02-C*03:04-DRB1*04:03-DQB1*05:01-DPB1*04:01  Panama 0.1900462
 1,926  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04-DPB1*04:02  Panama 0.1900462
 1,927  A*68:02-B*58:01-C*07:01-DRB1*13:03-DQB1*02:01-DPB1*04:01  Panama 0.1900462
 1,928  A*68:30-B*14:02-C*03:05-DRB1*12:01-DQB1*03:02-DPB1*04:02  Panama 0.1900462
 1,929  A*74:01-B*08:01-C*07:02-DRB1*14:02-DQB1*03:02-DPB1*04:02  Panama 0.1900462
 1,930  A*74:01-B*18:01-C*07:01-DRB1*11:04-DQB1*03:01-DPB1*04:02  Panama 0.1900462
 1,931  DRB1*12:01:01-DPB1*04:02:01  China Inner Mongolia Autonomous Region Northeast 0.1890496
 1,932  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.18803,456,066
 1,933  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.18793,456,066
 1,934  DRB1*14:05:01-DPB1*04:01:01  China Inner Mongolia Autonomous Region Northeast 0.1870496
 1,935  A*01:01-B*35:02-C*04:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPA1*01:03-DPB1*04:02  United Arab Emirates Pop 1 0.1869570
 1,936  A*02:01-B*07:02-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.1869570
 1,937  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*04:01  United Arab Emirates Pop 1 0.1869570
 1,938  A*02:01-B*55:01-C*01:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.1869570
 1,939  A*02:05-B*50:01-C*06:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.1869570
 1,940  A*03:01-B*50:01-C*06:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.1869570
 1,941  A*24:02-B*35:08-C*04:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.1869570
 1,942  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.1869570
 1,943  A*32:01-B*40:06-C*15:02-DRB1*15:01-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.1869570
 1,944  DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 0.1858833
 1,945  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.18413,456,066
 1,946  DRB1*14:03:01-DPB1*04:01:01  China Inner Mongolia Autonomous Region Northeast 0.1840496
 1,947  A*02:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*04:02  Russia Karelia 0.18361,075
 1,948  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.183228,927
 1,949  DRB1*10:01-DQB1*05:01-DPB1*04:02  Gambia pop 3 0.1802939
 1,950  DRB1*04:01-DQA1*03:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  China Zhejiang Han pop 2 0.1801833
 1,951  DRB1*14:04-DQA1*01:04-DQB1*05:03-DPA1*01:03-DPB1*04:02  China Zhejiang Han pop 2 0.1801833
 1,952  A*02-B*07-C*07-DRB1*01-DQB1*05-DPB1*04  Norway ethnic Norwegians 0.18004,510
 1,953  A*02-B*27-C*01-DRB1*08-DQB1*04-DPB1*04  Norway ethnic Norwegians 0.18004,510
 1,954  A*03-B*44-C*07-DRB1*11-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.18004,510
 1,955  A*11-B*15-C*04-DRB1*04-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.18004,510
 1,956  A*24-B*15-C*03-DRB1*13-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.18004,510
 1,957  DRB1*04:01-DQA1*03:03-DQB1*03:01-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 0.1800833
 1,958  DRB1*14:05:01-DQB1*05:03-DPB1*04:01:01  China Inner Mongolia Autonomous Region Northeast 0.1790496
 1,959  DRB1*12:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 0.1788833
 1,960  A*01:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.177528,927
 1,961  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.17513,456,066
 1,962  DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:01  Hong Kong Chinese HKBMDR. DQ and DP 0.17411,064
 1,963  A*33:03:01-B*58:01:01-C*03:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.173628,927
 1,964  DQA1*06:01-DQB1*03:01-DPA1*01:03-DPB1*04:01  Hong Kong Chinese HKBMDR. DQ and DP 0.17141,064
 1,965  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.17135,266
 1,966  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*01:03-DPB1*04:02  China Zhejiang Han pop 2 0.1711833
 1,967  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:02  Germany DKMS - German donors 0.17053,456,066
 1,968  A*01-B*44-C*05-DRB1*04-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.17004,510
 1,969  A*02-B*07-C*07-DRB1*13-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.17004,510
 1,970  A*02-B*40-C*03-DRB1*01-DQB1*05-DPB1*04  Norway ethnic Norwegians 0.17004,510
 1,971  A*03-B*44-C*05-DRB1*13-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.17004,510
 1,972  A*11-B*40-C*03-DRB1*13-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.17004,510
 1,973  A*02:01-B*49:01-C*07:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.16951,075
 1,974  A*24:02-B*13:02-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.16941,075
 1,975  A*11:01-B*55:01-C*03:03-DRB1*12:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.16941,075
 1,976  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.16931,075
 1,977  DRB1*04:03:01-DQB1*03:02-DPB1*04:02:01  China Inner Mongolia Autonomous Region Northeast 0.1690496
 1,978  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.168928,927
 1,979  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.16891,075
 1,980  A*03:01:01-B*51:01:01-C*15:02:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.168128,927
 1,981  A*24:02-B*07:02-C*07:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.16801,075
 1,982  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*05:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.168028,927
 1,983  DRB1*04:03:01-DPB1*04:02:01  China Inner Mongolia Autonomous Region Northeast 0.1680496
 1,984  A*24:02-B*18:01-C*07:01-DRB1*11:04-DQB1*03:01-DPB1*04:01  Russia Karelia 0.16641,075
 1,985  A*03:01-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02-DPB1*04:01  Russia Karelia 0.16621,075
 1,986  A*25:01-B*18:01-C*12:03-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.16513,456,066
 1,987  DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*04:02  China Zhejiang Han pop 2 0.1639833
 1,988  A*11:01-B*07:02-C*07:02-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.16351,075
 1,989  A*02:01-B*27:05-C*02:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.16283,456,066
 1,990  A*02:01-B*13:02-C*06:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.16271,075
 1,991  DRB1*07:01-DQB1*02:02-DPB1*04:01  Gambia pop 3 0.1623939
 1,992  DRB1*09:01:02-DPB1*04:01:01  China Inner Mongolia Autonomous Region Northeast 0.1610496
 1,993  A*01-B*57-C*07-DRB1*07-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.16004,510
 1,994  A*02-B*07-C*07-DRB1*14-DQB1*05-DPB1*04  Norway ethnic Norwegians 0.16004,510
 1,995  A*03-B*08-C*07-DRB1*03-DQB1*02-DPB1*04  Norway ethnic Norwegians 0.16004,510
 1,996  A*03-B*40-C*03-DRB1*15-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.16004,510
 1,997  A*11-B*15-C*03-DRB1*04-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.16004,510
 1,998  A*30-B*13-C*06-DRB1*07-DQB1*02-DPB1*04  Norway ethnic Norwegians 0.16004,510
 1,999  DQB1*04:02-DPB1*04:01:01  China Inner Mongolia Autonomous Region Northeast 0.1600496
 2,000  A*01:01-B*08:01-C*07:04-DRB1*13:02-DQB1*06:09-DPB1*04:01  Tanzania Maasai 0.1597336

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 1,901 to 2,000 (from 5,554) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 56  


   

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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