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 2,401 to 2,500 (from 3,548) records   Pages: 21 22 23 24 25 26 27 28 29 30 of 36  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 2,401  A*25:01-B*08:01-DRB1*14:06  Israel Libya Jews 0.00673,739
 2,402  A*25:01-B*08:01-DRB1*15:01  Israel Tunisia Jews 0.00349,070
 2,403  A*25:01-B*08:01-DRB1*15:01  Israel USA Jews 0.00716,058
 2,404  A*25:02-B*08:01-DRB1*12:01  Israel USSR Jews 0.000547045,681
 2,405  A*25:04-B*08:01-DRB1*12:01  Israel USSR Jews 0.000547045,681
 2,406  A*26:01:01-B*08:01:01-C*01:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.004223,595
 2,407  A*26:01:01-B*08:01:01-C*02:02:02-DRB1*01:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 2,408  A*26:01:01-B*08:01:01-C*03:04:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*124:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 2,409  A*26:01:01-B*08:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 2,410  A*26:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*01:02:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01  Russia Belgorod region 0.3268153
 2,411  A*26:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.12311,510
 2,412  A*26:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.123623,595
 2,413  A*26:01:01-B*08:01:01-C*07:01:01-DRB1*03:43-DQB1*02:01:01  Poland BMR 0.004223,595
 2,414  A*26:01:01-B*08:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.005923,595
 2,415  A*26:01:01-B*08:01:01-C*07:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.001923,595
 2,416  A*26:01:01-B*08:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002623,595
 2,417  A*26:01:01-B*08:01:01-C*07:01:01-DRB1*08:01:01-DQB1*04:02:01  Russia Bashkortostan, Bashkirs 0.4167120
 2,418  A*26:01:01-B*08:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.009723,595
 2,419  A*26:01:01-B*08:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.004223,595
 2,420  A*26:01:01-B*08:01:01-C*07:01:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.004423,595
 2,421  A*26:01:01-B*08:01:01-C*07:01:08-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 2,422  A*26:01:01-B*08:01:01-C*07:02:01  England Blood Donors of Mixed Ethnicity 0.0963519
 2,423  A*26:01:01-B*08:01:01-C*07:02:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.16561,510
 2,424  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01415,266
 2,425  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00895,266
 2,426  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03585,266
 2,427  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04715,266
 2,428  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  China Zhejiang Han 0.08651,734
 2,429  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 2,430  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.7020356
 2,431  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Karnataka Kannada Speaking 0.2870174
 2,432  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.015523,595
 2,433  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.330928,927
 2,434  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.233228,927
 2,435  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.593328,927
 2,436  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*17:01:01  Saudi Arabia pop 6 (G) 0.090828,927
 2,437  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*04:05:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00915,266
 2,438  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*09:01:02-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 2,439  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00855,266
 2,440  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*12:10-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 2,441  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 2,442  A*26:01:40-B*08:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002023,595
 2,443  A*26:01-B*08:01  China Hubei Han 0.00173,732
 2,444  A*26:01-B*08:01  Oman 4.3000118
 2,445  A*26:01-B*08:01  USA African American pop 4 0.30902,411
 2,446  A*26:01-B*08:01  USA Asian pop 2 0.52301,772
 2,447  A*26:01-B*08:01  USA Hispanic pop 2 0.18701,999
 2,448  A*26:01-B*08:01-C*01:02-DRB1*03:01  Poland DKMS 0.002620,653
 2,449  A*26:01-B*08:01-C*01:02-DRB1*07:01  Poland DKMS 0.002520,653
 2,450  A*26:01-B*08:01-C*01:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 2,451  A*26:01-B*08:01-C*01:02-DRB1*11:02  Poland DKMS 0.002320,653
 2,452  A*26:01-B*08:01-C*01:02-DRB1*16:02-DQB1*03:01  India West UCBB 0.00865,829
 2,453  A*26:01-B*08:01-C*03:03-DRB1*03:01  Poland DKMS 0.002420,653
 2,454  A*26:01-B*08:01-C*03:04-DRB1*13:01-DQB1*06:03  India East UCBB 0.02082,403
 2,455  A*26:01-B*08:01-C*03:04-DRB1*13:04-DQB1*03:01  USA African American pop 4 0.21802,411
 2,456  A*26:01-B*08:01-C*03:04-DRB1*13:04-DQB1*03:01  USA NMDP Black South or Central American 0.12114,889
 2,457  A*26:01-B*08:01-C*04:01-DRB1*04:04-DQB1*02:01  India Northeast UCBB 0.1689296
 2,458  A*26:01-B*08:01-C*04:01-DRB1*04:10-DQB1*04:02  India East UCBB 0.02082,403
 2,459  A*26:01-B*08:01-C*04:01-DRB1*08:04-DQA1*05:01-DQB1*03:01-DPB1*55:01  South Africa Worcester 0.3000159
 2,460  A*26:01-B*08:01-C*04:01-DRB1*15:04-DQB1*05:02  India Central UCBB 0.01194,204
 2,461  A*26:01-B*08:01-C*04:03-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 2,462  A*26:01-B*08:01-C*06:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Indian 0.1845271
 2,463  A*26:01-B*08:01-C*07:01-DRB1*01:01  Germany DKMS - France minority 0.03601,406
 2,464  A*26:01-B*08:01-C*07:01-DRB1*01:01  Poland DKMS 0.003320,653
 2,465  A*26:01-B*08:01-C*07:01-DRB1*01:03  Poland DKMS 0.002420,653
 2,466  A*26:01-B*08:01-C*07:01-DRB1*01:03-DQB1*05:01  USA Hispanic pop 2 0.01201,999
 2,467  A*26:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Austria minority 0.03101,698
 2,468  A*26:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Croatia minority 0.09002,057
 2,469  A*26:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Portugal minority 0.05101,176
 2,470  A*26:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Netherlands minority 0.06801,374
 2,471  A*26:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Greece minority 0.05801,894
 2,472  A*26:01-B*08:01-C*07:01-DRB1*03:01  Poland DKMS 0.132520,653
 2,473  A*26:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 0.8060124
 2,474  A*26:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.11701,159
 2,475  A*26:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 2,476  A*26:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.01633,456,066
 2,477  A*26:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.01503,456,066
 2,478  A*26:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.06681,075
 2,479  A*26:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Russia Karelia 0.11441,075
 2,480  A*26:01-B*08:01-C*07:01-DRB1*04:01  Germany DKMS - Spain minority 0.04701,107
 2,481  A*26:01-B*08:01-C*07:01-DRB1*04:03  Germany DKMS - Greece minority 0.02601,894
 2,482  A*26:01-B*08:01-C*07:01-DRB1*04:04  Poland DKMS 0.002420,653
 2,483  A*26:01-B*08:01-C*07:01-DRB1*08:01  Poland DKMS 0.001220,653
 2,484  A*26:01-B*08:01-C*07:01-DRB1*09:01-DQB1*03:03-DPB1*04:02  Russia Karelia 0.05651,075
 2,485  A*26:01-B*08:01-C*07:01-DRB1*11:01  Germany DKMS - Netherlands minority 0.03601,374
 2,486  A*26:01-B*08:01-C*07:01-DRB1*13:01  Germany DKMS - United Kingdom minority 0.04801,043
 2,487  A*26:01-B*08:01-C*07:01-DRB1*13:01  Poland DKMS 0.008520,653
 2,488  A*26:01-B*08:01-C*07:01-DRB1*13:02  Poland DKMS 0.011220,653
 2,489  A*26:01-B*08:01-C*07:01-DRB1*14:01-DQB1*05:03  Germany DKMS - Italy minority 0.08601,159
 2,490  A*26:01-B*08:01-C*07:01-DRB1*15:01  Germany DKMS - United Kingdom minority 0.04801,043
 2,491  A*26:01-B*08:01-C*07:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 2,492  A*26:01-B*08:01-C*07:01-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.14001,999
 2,493  A*26:01-B*08:01-C*07:01-DRB1*15:01-DQB1*06:02  USA NMDP Caribean Indian 0.230414,339
 2,494  A*26:01-B*08:01-C*07:01-DRB1*15:01-DQB1*06:03  USA Hispanic pop 2 0.01201,999
 2,495  A*26:01-B*08:01-C*07:01-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.04402,411
 2,496  A*26:01-B*08:01-C*07:01-DRB1*16:01  Poland DKMS 0.002720,653
 2,497  A*26:01-B*08:01-C*07:02-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.01782,492
 2,498  A*26:01-B*08:01-C*07:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.013111,446
 2,499  A*26:01-B*08:01-C*07:02-DRB1*01:01-DQB1*05:04  India Tamil Nadu 0.00122,492
 2,500  A*26:01-B*08:01-C*07:02-DRB1*01:02-DQB1*05:01  India Tamil Nadu 0.00122,492

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 2,401 to 2,500 (from 3,548) records   Pages: 21 22 23 24 25 26 27 28 29 30 of 36  


   

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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