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 1,001 to 1,100 (from 4,542) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 46  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1,001  A*02-B*57-DRB1*13  Iran pop 4 0.1401855
 1,002  A*24:02-B*57:01-C*06:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.1401714
 1,003  A*26:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*26:01  Sri Lanka Colombo 0.1401714
 1,004  A*30-B*57-DRB1*07  Iran pop 4 0.1401855
 1,005  A*33:03-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*03:01  Sri Lanka Colombo 0.1401714
 1,006  A*33:03-B*57:01-C*06:02-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 1,007  A*01:01:01-B*57:01:01-C*03:02:01-DRB1*01:01:01-DQB1*02:30  India Kerala Malayalam speaking 0.1400356
 1,008  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 1,009  A*01:01:01-B*57:01:01-C*07:02:01-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 1,010  A*01:01-B*57:01-C*06:02-DRB1*11:01-DQB1*03:01  Italy pop 5 0.1400975
 1,011  A*01:01-B*57:01-C*06:02-DRB1*13:02-DQB1*05:02  Italy pop 5 0.1400975
 1,012  A*01:01-B*57:01-C*07:01-DRB1*07:01-DQB1*03:03  USA Hispanic pop 2 0.14001,999
 1,013  A*01:01-B*57:03-C*07:01-DRB1*07:01-DQB1*03:01  Italy pop 5 0.1400975
 1,014  A*02:01:01-B*57:01:01-C*03:02:01-DRB1*04:01:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 1,015  A*02:01-B*57:01-C*01:02-DRB1*11:03-DQB1*03:03  Italy pop 5 0.1400975
 1,016  A*02:05:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 1,017  A*02:06:01-B*57:01:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 1,018  A*02:16-B*57:01:01-C*06:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 1,019  A*02:17-B*57:01-C*07:01-DRB1*14:01-DQB1*03:03  Italy pop 5 0.1400975
 1,020  A*03:01-B*57:01-C*01:02-DRB1*03:01-DQB1*05:01  Italy pop 5 0.1400975
 1,021  A*03:01-B*57:01-C*06:02-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 1,022  A*03-B*57-DRB1*13  Italy Lombardy 0.1400674
 1,023  A*11:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 1,024  A*24:02:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 1,025  A*24:02:13-B*57:01:01-C*06:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 1,026  A*26:01:01-B*57:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 1,027  A*26:01-B*57:01-C*06:02-DRB1*13:03-DQB1*03:01  Italy pop 5 0.1400975
 1,028  A*29:02-B*57:01-C*07:01-DRB1*07:01-DQB1*03:03  Italy pop 5 0.1400975
 1,029  A*31:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Italy pop 5 0.1400975
 1,030  A*31:01-B*57:01-C*06:02-DRB1*15:01-DQB1*06:02  Italy pop 5 0.1400975
 1,031  A*32:13-B*57:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 1,032  A*68-B*57-DRB1*07  Italy Lombardy 0.1400674
 1,033  B*57:01-C*04:01  Italy pop 5 0.1400975
 1,034  A*33:03-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  USA Asian pop 2 0.13801,772
 1,035  A*01:01-B*57:01-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.137611,446
 1,036  A*01:01-B*57:01-DRB1*04:03  Israel Arab pop 2 0.137012,301
 1,037  A*01:01-B*57:01-DRB1*13:01  Israel USSR Jews 0.137045,681
 1,038  A*66:01-B*57:01-C*06:02-DRB1*04:02-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 1,039  A*01:01-B*57:01-C*06:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.13694,204
 1,040  A*01:01-B*57:01-C*06:02-DRB1*15:01-DQB1*05:02  Colombia Bogotá Cord Blood 0.13671,463
 1,041  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP African 0.136228,557
 1,042  A*66:01-B*57:01-C*06:02-DRB1*04:02  Germany DKMS - Spain minority 0.13601,107
 1,043  A*68:02-B*57:02-DRB1*15:01  Israel Ethiopia Jews 0.13605,928
 1,044  A*01:01:01:01-B*57:01:01-C*06:02:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.13481,510
 1,045  A*68:02-B*57:03-C*07:01-DRB1*03:02-DRB3*03:01-DQB1*04:02  USA NMDP Hispanic South or Central American 0.1343146,714
 1,046  A*01:01-B*57:01-DRB1*11:04  Israel Iraq Jews 0.134013,270
 1,047  A*03:01-B*57:01-C*06:02-DRB1*04:02  Germany DKMS - Spain minority 0.13401,107
 1,048  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP African American pop 2 0.1335416,581
 1,049  A*01:01-B*57:01-C*06:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.133411,446
 1,050  A*01:01-B*57:01-C*06:02-DRB1*14:04-DQB1*05:03  USA Asian pop 2 0.13301,772
 1,051  A*01:01-B*57:03-C*07:01-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.13302,411
 1,052  A*02:02-B*57:01-DRB1*04:05  Israel YemenJews 0.133015,542
 1,053  A*01-B*57-DRB1*07-DQB1*03:03  Mexico Mexico City North 0.1328751
 1,054  A*02-B*57-DRB1*07-DQB1*03:03  Mexico Mexico City North 0.1328751
 1,055  A*30-B*57-DRB1*04-DQB1*03:02  Mexico Mexico City North 0.1328751
 1,056  A*68-B*57-DRB1*15-DQB1*06  Mexico Mexico City North 0.1328751
 1,057  A*01:01-B*57:01-DRB1*13:01  Israel USA Jews 0.13206,058
 1,058  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.13164,204
 1,059  A*02:01-B*57:03-C*07:01-DRB1*13:03-DQB1*02:01  USA African American pop 4 0.13102,411
 1,060  A*30:02-B*57:03-C*07:01-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.13102,411
 1,061  A*33:03-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India Central UCBB 0.13034,204
 1,062  B*57:01-DRB1*11:04  Italy pop 5 0.1300975
 1,063  B*57:01-DRB1*13:01  Italy pop 5 0.1300975
 1,064  B*57:02-C*07:01  USA African American pop 4 0.13002,411
 1,065  A*02-B*57-DRB1*13  Brazil Para Cord Blood Unit 0.1293841
 1,066  A*31:01:02:01-B*57:01:01-C*06:02:01:01-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.12921,510
 1,067  A*01:01-B*57:01-C*06:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.12901,159
 1,068  A*01:01-B*57:01-C*06:02-DRB1*13:03-DQB1*03:01  Germany DKMS - Italy minority 0.12901,159
 1,069  A*01:01-B*57:01-C*06:02-DRB1*15:01  Germany DKMS - Portugal minority 0.12801,176
 1,070  A*02:01-B*57:01-C*06:02-DRB1*15:01  Germany DKMS - Portugal minority 0.12801,176
 1,071  A*02-B*57-DRB1*07-DQB1*03:03  Ecuador Mixed Ancestry 0.12791,173
 1,072  A*68:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.127111,446
 1,073  A*01-B*57-DRB1*04  Brazil South East Cord Blood 0.127011,409
 1,074  A*01:01-B*57:01-C*06:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.12665,829
 1,075  A*30:02-B*57:03-C*07:01-DRB1*15:03-DQB1*06:02  USA NMDP Black South or Central American 0.12664,889
 1,076  A*23-B*57-DRB1*11-DQB1*06  Mexico Jalisco, Guadalajara city 0.12561,189
 1,077  A*01-B*57-DRB1*04-DQB1*03:02  Mexico Coahuila, Torreon 0.1250396
 1,078  A*01-B*57-DRB1*14-DQB1*05  Mexico Coahuila, Torreon 0.1250396
 1,079  A*23-B*57-DRB1*07-DQB1*02  Mexico Coahuila, Torreon 0.1250396
 1,080  A*30-B*57-DRB1*07-DQB1*03:03  Mexico Coahuila, Torreon 0.1250396
 1,081  A*30-B*57-DRB1*10-DQB1*05  Mexico Coahuila, Torreon 0.1250396
 1,082  A*30-B*57-DRB1*13-DQB1*05  Mexico Coahuila, Torreon 0.1250396
 1,083  A*34-B*57-DRB1*03:01-DQB1*02  Mexico Coahuila, Torreon 0.1250396
 1,084  A*01:01-B*57:01-DRB1*11:04  Israel Bukhara Jews 0.12402,317
 1,085  A*25:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Romania minority 0.12401,234
 1,086  A*30:02-B*57:03-C*18:01-DRB1*13:01-DQB1*05:01  USA African American pop 4 0.12402,411
 1,087  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Korean 0.123177,584
 1,088  A*01:01-B*57:01-C*06:02-DRB1*13:03  Germany DKMS - Austria minority 0.12201,698
 1,089  A*02:01-B*57:01-C*06:02-DRB1*16:01  Germany DKMS - Romania minority 0.12201,234
 1,090  A*02:01-B*57:03-C*07:01-DRB1*11:03  Germany DKMS - Romania minority 0.12201,234
 1,091  A*03:02-B*57:01-DRB1*04:03  Israel Tunisia Jews 0.12209,070
 1,092  A*68:02-B*57:01-DRB1*07:01  Israel Morocco Jews 0.122036,718
 1,093  A*01-B*57-DRB1*04-DQB1*03:02  Ecuador Andes Mixed Ancestry 0.1214824
 1,094  A*01-B*57-DRB1*10-DQB1*05  Ecuador Andes Mixed Ancestry 0.1214824
 1,095  A*02-B*57-DRB1*13-DQB1*06  Ecuador Andes Mixed Ancestry 0.1214824
 1,096  A*01:01-B*57:01-DRB1*11:04  Israel Poland Jews 0.121013,871
 1,097  A*03:01-B*57:03-C*07:01-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.12102,411
 1,098  A*34:02-B*57:03  USA African American pop 4 0.12102,411
 1,099  A*01-B*57-C*06-DRB1*13-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.12004,510
 1,100  A*01-B*57-DRB1*04  Italy Lombardy 0.1200674

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 1,001 to 1,100 (from 4,542) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 46  


   

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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