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 14,035) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 141  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1,001  A*01:01:01-B*35:02:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 1,002  A*01:01:01-B*49:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 1,003  A*01-B*07-DRB1*13-DQB1*06  Mexico Mexico City East 0.625079
 1,004  A*01-B*07-DRB1*14-DQB1*05  Mexico Mexico City East 0.625079
 1,005  A*01-B*08-DRB1*15-DQB1*06  Mexico Mexico City East 0.625079
 1,006  A*01-B*38-DRB1*11-DQB1*03:01  Mexico Mexico City East 0.625079
 1,007  A*01:01-B*15:17-DRB1*13:02  Israel Libya Jews 0.62103,739
 1,008  A*01-B*40-C*15-DRB1*14  Macedonia MBMDR - Macedonian 0.61931,283
 1,009  A*01:01-B*57:01-DRB1*13:03  Israel Libya Jews 0.61903,739
 1,010  A*01-B*08-DRB1*15-DQB1*06  Mexico Hidalgo Rural 0.617381
 1,011  A*01-B*14:02-DRB1*01-DQB1*05  Mexico Hidalgo Rural 0.617381
 1,012  A*01-B*49-DRB1*13-DQB1*03:01  Mexico Hidalgo Rural 0.617381
 1,013  A*01-B*51-DRB1*07-DQB1*02  Mexico Hidalgo Rural 0.617381
 1,014  A*01-B*57-DRB1*04-DQB1*03:02  Mexico Hidalgo Rural 0.617381
 1,015  A*01-B*08-DRB1*11-DQB1*03:01  Mexico Guanajuato Rural 0.6135162
 1,016  A*01-B*18-DRB1*12-DQB1*03:01  Mexico Guanajuato Rural 0.6135162
 1,017  A*01-B*49-DRB1*04-DQB1*03:02  Mexico Guanajuato Rural 0.6135162
 1,018  A*01:01-B*35:02-DRB1*04:03  Israel Arab pop 2 0.613012,301
 1,019  A*01:01-B*49:01-DRB1*11:04  Israel Morocco Jews 0.612036,718
 1,020  A*01:01-B*49:01-DRB1*07:01  Israel Tunisia Jews 0.61109,070
 1,021  A*01-B*08-C*07-DRB1*03-DQB1*02-DPB1*03  Norway ethnic Norwegians 0.61004,510
 1,022  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Tabasco, Villahermosa 0.609882
 1,023  A*01-B*08-DRB1*15-DQB1*06  Mexico Tabasco, Villahermosa 0.609882
 1,024  A*01-B*14:01-DRB1*03:01-DQB1*02  Mexico Tabasco, Villahermosa 0.609882
 1,025  A*01-B*35-DRB1*04-DQB1*03:02  Mexico Morelos, Cuernavaca 0.609882
 1,026  A*01-B*35-DRB1*11-DQB1*06  Mexico Tabasco, Villahermosa 0.609882
 1,027  A*01-B*37-DRB1*03:01-DQB1*02  Mexico Tabasco, Villahermosa 0.609882
 1,028  A*01-B*37-DRB1*11-DQB1*03:01  Mexico Tabasco, Villahermosa 0.609882
 1,029  A*01-B*44-DRB1*07-DQB1*02  Mexico Morelos, Cuernavaca 0.609882
 1,030  A*01-B*49-DRB1*04-DQB1*03:02  Mexico Morelos, Cuernavaca 0.609882
 1,031  A*01-B*50-DRB1*07-DQB1*02  Mexico Tabasco, Villahermosa 0.609882
 1,032  A*01-B*52-DRB1*11-DQB1*03:01  Mexico Tabasco, Villahermosa 0.609882
 1,033  A*01-B*57-DRB1*07-DQB1*02  Mexico Tabasco, Villahermosa 0.609882
 1,034  A*01:01-B*35:08-DRB1*07:01  Israel Tunisia Jews 0.60509,070
 1,035  A*01:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.60292,492
 1,036  A*01:01-B*15:17-C*07:01-DRB1*13:02  Italy pop 5 0.6000975
 1,037  A*01:01-B*58:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  South Africa Worcester 0.6000159
 1,038  A*01:01-B*81:01-C*18:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  South Africa Worcester 0.6000159
 1,039  A*01:01-C*07:02  Italy pop 5 0.6000975
 1,040  A*01-B*08-DRB1*03  Germany pop 7 0.600013,386
 1,041  A*01-B*15-DRB1*13  Iraq Erbil 0.6000372
 1,042  A*01-B*18-DRB1*03  Iraq Erbil 0.6000372
 1,043  A*01-B*18-DRB1*11  Iraq Erbil 0.6000372
 1,044  A*01-B*27-DRB1*11  Iraq Erbil 0.6000372
 1,045  A*01-B*41-DRB1*07  Iraq Erbil 0.6000372
 1,046  A*01-B*47-DRB1*01  Iraq Erbil 0.6000372
 1,047  A*01-B*50-DRB1*07  Iraq Erbil 0.6000372
 1,048  A*01-B*57-DRB1*07  China Shaanxi Province Han 0.600010,000
 1,049  A*01-B*58-DRB1*03  Iraq Erbil 0.6000372
 1,050  A*01-B*08-DRB1*13-DQB1*06  Mexico Jalisco Rural 0.5973585
 1,051  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.5960356
 1,052  A*01:01-B*15:01-DRB1*08:02-DQB1*04:02  Mexico Veracruz Xalapa 0.595284
 1,053  A*01:01-B*53:01-DRB1*04:02-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 1,054  A*01:01-B*58:01-DRB1*07:01-DQB1*02:01  Mexico Veracruz Xalapa 0.595284
 1,055  A*01-B*08-DRB1*03:01-DQB1*06  Mexico Zacatecas, Zacatecas city 0.595284
 1,056  A*01-B*08-DRB1*15-DQB1*06  Mexico Zacatecas, Zacatecas city 0.595284
 1,057  A*01-B*18-DRB1*04-DQB1*03:02  Mexico Jalisco, Zapopan 0.5952168
 1,058  A*01-B*37-DRB1*15-DQB1*06  Mexico Zacatecas, Zacatecas city 0.595284
 1,059  A*01-B*38-DRB1*11-DQB1*03:01  Mexico Zacatecas, Zacatecas city 0.595284
 1,060  A*01-B*41-DRB1*03:01-DQB1*02  Mexico Jalisco, Zapopan 0.5952168
 1,061  A*01-B*52-DRB1*15-DQB1*06  Mexico Jalisco, Zapopan 0.5952168
 1,062  A*01:01-B*41:01-C*17:01-DRB1*10:01-DQB1*05:01  USA NMDP Hawaiian or other Pacific Islander 0.594611,499
 1,063  A*01:01-B*41:01-C*17:01  Italy pop 5 0.5900975
 1,064  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*16:01:01  Brazil Rio de Janeiro Parda 0.5882170
 1,065  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Rio de Janeiro Parda 0.5882170
 1,066  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*11:07:01-DQB1*02:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 1,067  A*01:01:01-B*14:02:01-C*06:02:01-DRB1*08:04:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 1,068  A*01:01:01-B*15:03:01-C*02:10:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*18:01:01  Brazil Rio de Janeiro Parda 0.5882170
 1,069  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 1,070  A*01:01:01-B*41:02:01-C*17:03:01-DRB1*01:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 1,071  A*01:01:01-B*44:03:02-C*15:13:01-DRB1*04:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 1,072  A*01:01:01-B*52:01:01-C*12:02:02-DRB1*11:01:01-DQB1*06:01:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 1,073  A*01:03-B*18:01-DRB1*13:02  Israel Georgia Jews 0.58504,471
 1,074  A*01:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Middle Eastern or North Coast of Africa 0.583770,890
 1,075  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.5837521
 1,076  A*01:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Austria minority 0.58201,698
 1,077  A*01-B*07-DRB1*08-DQB1*03:01  Mexico Veracruz, Veracruz city 0.5814171
 1,078  A*01-B*08-DRB1*01-DQB1*05  Mexico Veracruz, Veracruz city 0.5814171
 1,079  A*01-B*08-DRB1*13-DQB1*03:01  Mexico Veracruz, Veracruz city 0.5814171
 1,080  A*01-B*18-DRB1*03:01-DQB1*02  Mexico Veracruz, Veracruz city 0.5814171
 1,081  A*01-B*35-DRB1*11-DQB1*06  Mexico Veracruz, Veracruz city 0.5814171
 1,082  A*01-B*08-DRB1*03:50  Chile Santiago 0.5798920
 1,083  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP South Asian Indian 0.5786185,391
 1,084  A*01:01-B*08:01-DRB1*15:02  Israel Georgia Jews 0.57604,471
 1,085  A*01:01:01-B*35:03:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.5750174
 1,086  A*01:01:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.5750174
 1,087  A*01-B*07-DRB1*04:05-DQB1*03:02  Bolivia La Paz Aymaras 0.575087
 1,088  A*01-B*08-DRB1*03:01-DQB1*02:01  Bolivia La Paz Aymaras 0.575087
 1,089  A*01-B*08-DRB1*03:01-DQB1*02  Mexico San Luis Potosi Rural 0.574787
 1,090  A*01-B*08-DRB1*03:01-DQB1*06  Mexico San Luis Potosi Rural 0.574787
 1,091  A*01-B*08-DRB1*07-DQB1*03:03  Mexico San Luis Potosi Rural 0.574787
 1,092  A*01-B*08-DRB1*13-DQB1*06  Mexico San Luis Potosi Rural 0.574787
 1,093  A*01-B*38-DRB1*04-DQB1*03:02  Mexico San Luis Potosi Rural 0.574787
 1,094  A*01-B*49-DRB1*11-DQB1*03:01  Mexico San Luis Potosi Rural 0.574787
 1,095  A*01-B*57-DRB1*07-DQB1*03:03  Mexico Michoacan Rural 0.5731348
 1,096  A*01:01-B*41:01-C*17:01-DRB1*03:01  Italy pop 5 0.5700975
 1,097  A*01:01-B*57:01-DRB1*07:01  Israel Tunisia Jews 0.56909,070
 1,098  A*01:01-B*08:01-DRB1*08:01-DQB1*04:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 1,099  A*01:01-B*08:01-DRB1*14:06-DQB1*02:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 1,100  A*01:01-B*14:01-DRB1*03:01-DQB1*02:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288

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 14,035) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 141  


   

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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