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 1,201 to 1,300 (from 6,863) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 69  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1,201  A*02-B*39-DRB1*16-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.3034824
 1,202  A*24-B*51-DRB1*16-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.3034824
 1,203  A*24:02-B*35:14-DRB1*16:02-DQB1*03:01  Mexico Mexico City Tlalpan 0.3030330
 1,204  A*02-B*40:02-DRB1*16-DQB1*03:01  Mexico Tlaxcala Rural 0.3012830
 1,205  A*02-B*52-DRB1*16-DQB1*03:01  Mexico Tlaxcala Rural 0.3012830
 1,206  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Tlaxcala Rural 0.3012830
 1,207  A*68-B*35-DRB1*16-DQB1*03:01  Mexico Puebla, Puebla city 0.30061,994
 1,208  A*02:01-B*39:01-C*12:03-DRB1*16:01  Italy pop 5 0.3000975
 1,209  A*02-B*35-DRB1*16  Brazil South Ribeirao Preto 0.3000184
 1,210  A*02-B*35-DRB1*16:02  USA NMDP Hispanic 0.3000449,844
 1,211  A*02-B*38-DRB1*16:02  USA NMDP Asian and Pacific Islander 0.3000359,423
 1,212  A*02-B*39-DRB1*16  Brazil South Ribeirao Preto 0.3000184
 1,213  A*03-B*35-DRB1*16  Brazil South Ribeirao Preto 0.3000184
 1,214  A*24:02-B*35:05-C*06:02-DRB1*16:02-DQA1*01:01-DQB1*05:03-DPB1*13:01  South Africa Worcester 0.3000159
 1,215  A*24-B*35-DRB1*16:02  USA NMDP Hispanic 0.3000449,844
 1,216  A*24-B*37-DRB1*16  Brazil South Ribeirao Preto 0.3000184
 1,217  A*24-B*57-DRB1*16  Brazil South Ribeirao Preto 0.3000184
 1,218  A*32:01-B*40:02-DRB1*16:02  Croatia pop 4 0.30004,000
 1,219  A*68:01-B*39:01-C*12:03-DRB1*16:01  Italy pop 5 0.3000975
 1,220  A*68-B*35-DRB1*16  Brazil South Ribeirao Preto 0.3000184
 1,221  A*02-B*48-DRB1*16-DQB1*03:01  Mexico Puebla Rural 0.2998833
 1,222  A*02:01-B*44:02-C*07:04-DRB1*16:01  Germany DKMS - Romania minority 0.29901,234
 1,223  A*24-B*35-DRB1*16-DQB1*03:01  Ecuador Mixed Ancestry 0.29841,173
 1,224  A*02:01-B*44:02-C*07:04-DRB1*16:01  Germany DKMS - Portugal minority 0.29801,176
 1,225  A*02-B*13-DRB1*16-DQB1*05  Mexico Jalisco, Zapopan 0.2976168
 1,226  A*02-B*35-DRB1*16-DQB1*03:01  Mexico Jalisco, Zapopan 0.2976168
 1,227  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Jalisco, Zapopan 0.2976168
 1,228  A*29-B*35-DRB1*16-DQB1*03:01  Mexico Jalisco, Zapopan 0.2976168
 1,229  A*29-B*35-DRB1*16-DQB1*05  Mexico Jalisco, Zapopan 0.2976168
 1,230  A*68-B*35-DRB1*16-DQB1*03:01  Mexico Jalisco, Zapopan 0.2976168
 1,231  A*02-B*40-DRB1*16  Brazil Para State 0.29395,000
 1,232  A*02-B*18-C*07-DRB1*16  Macedonia MBMDR - Macedonian 0.29351,283
 1,233  A*02-B*35-DRB1*16-DQB1*05  Mexico Veracruz, Veracruz city 0.2907171
 1,234  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Veracruz, Veracruz city 0.2907171
 1,235  A*24-B*15:05-DRB1*16-DQB1*03:01  Mexico Veracruz, Veracruz city 0.2907171
 1,236  A*29-B*51-DRB1*16-DQB1*05  Mexico Veracruz, Veracruz city 0.2907171
 1,237  A*30-B*41-DRB1*16-DQB1*03:01  Mexico Veracruz, Veracruz city 0.2907171
 1,238  A*68-B*35-DRB1*16-DQB1*03:01  Mexico Veracruz, Veracruz city 0.2907171
 1,239  A*25:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Italy pop 5 0.2900975
 1,240  A*32:01-B*07:02-C*07:02-DRB1*16:01-DQB1*05:02  Italy pop 5 0.2900975
 1,241  B*44:02-DRB1*16:01  Italy pop 5 0.2900975
 1,242  DRB1*16:01-DQB1*05:01  Italy pop 5 0.2900975
 1,243  A*02:01-B*27:02-C*02:02-DRB1*16:01  Germany DKMS - Austria minority 0.28901,698
 1,244  A*24:02-B*35:08-DRB1*16:01  Israel Iraq Jews 0.287013,270
 1,245  A*24-B*35-DRB1*16-DQB1*03:01  Mexico Michoacan Rural 0.2865348
 1,246  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Michoacan Rural 0.2865348
 1,247  A*32-B*51-DRB1*16-DQB1*05  Mexico Michoacan Rural 0.2865348
 1,248  DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*03:01  China Zhejiang Han pop 2 0.2831833
 1,249  A*02:01-B*39:01-C*12:03-DRB1*16:01  Germany DKMS - Romania minority 0.28301,234
 1,250  A*11:01-B*35:01-C*04:01-DRB1*16:01  Germany DKMS - Croatia minority 0.28102,057
 1,251  A*23-B*14-DRB1*16  Iran pop 4 0.2801855
 1,252  A*26-B*55-DRB1*16  Iran pop 4 0.2801855
 1,253  A*24:02-B*55:01-C*03:03-DRB1*16:01  Germany DKMS - Greece minority 0.28001,894
 1,254  DRB1*16:02-DQB1*05:02  Italy pop 5 0.2800975
 1,255  A*24-B*35-DRB1*16-DQB1*03:01  Mexico Veracruz Rural 0.2773539
 1,256  A*24-B*35-DRB1*16-DQB1*03:01  Mexico Tlaxcala, Tlaxcala city 0.2762181
 1,257  A*31-B*27-DRB1*16-DQB1*03:01  Mexico Tlaxcala, Tlaxcala city 0.2762181
 1,258  A*31-B*35-DRB1*16-DQB1*03:01  Mexico Tlaxcala, Tlaxcala city 0.2762181
 1,259  A*24-B*40:02-DRB1*16-DQB1*03:01  Mexico Sinaloa Rural 0.2732183
 1,260  A*25-B*18-DRB1*16-DQB1*05  Mexico Sinaloa Rural 0.2732183
 1,261  A*68-B*07-DRB1*16-DQB1*05  Mexico Sinaloa Rural 0.2732183
 1,262  A*68-B*40:02-DRB1*16-DQB1*03:01  Mexico Sinaloa Rural 0.2732183
 1,263  A*02:01-B*51:01-C*14:02-DRB1*16:01  Germany DKMS - Croatia minority 0.27302,057
 1,264  A*02:01-B*51:01-C*15:02-DRB1*16:01  Germany DKMS - Romania minority 0.27201,234
 1,265  A*31-B*35-DRB1*16  Brazil Para State 0.27085,000
 1,266  A*01-B*45-DRB1*16:01  Colombia Barranquilla 0.2700188
 1,267  A*02:01-B*44:03-DRB1*16:01  Israel USSR Jews 0.270045,681
 1,268  A*02-B*57-DRB1*16:01  Colombia Barranquilla 0.2700188
 1,269  A*03-B*39-DRB1*16:01  Colombia Barranquilla 0.2700188
 1,270  A*24:02-B*15:01-C*01:02-DRB1*16:02-DQB1*03:01-DPB1*04:02  Panama 0.2700462
 1,271  A*24-B*35-DRB1*16:01  Colombia Barranquilla 0.2700188
 1,272  A*26-B*40-DRB1*16:01  Colombia Barranquilla 0.2700188
 1,273  A*30-B*41-DRB1*16:01  Colombia Barranquilla 0.2700188
 1,274  A*31-B*27-DRB1*16:01  Colombia Barranquilla 0.2700188
 1,275  A*68-B*40-DRB1*16:01  Colombia Barranquilla 0.2700188
 1,276  A*68-B*57-DRB1*16:01  Colombia Barranquilla 0.2700188
 1,277  A*74-B*15-DRB1*16:01  Colombia Barranquilla 0.2700188
 1,278  A*26:01:01-B*13:01:01-C*03:04:01-DRB1*16:02:01-DQB1*05:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 1,279  A*01-B*35-DRB1*16-DQB1*03:01  Mexico Veracruz, Xalapa 0.2674187
 1,280  A*02-B*35-DRB1*16-DQB1*03:01  Mexico Veracruz, Xalapa 0.2674187
 1,281  A*02-B*39-DRB1*16-DQB1*05  Mexico Veracruz, Xalapa 0.2674187
 1,282  A*02-B*44-DRB1*16-DQB1*05  Mexico Veracruz, Xalapa 0.2674187
 1,283  A*02-B*52-DRB1*16-DQB1*05  Mexico Veracruz, Xalapa 0.2674187
 1,284  A*24-B*52-DRB1*16-DQB1*03:01  Mexico Veracruz, Xalapa 0.2674187
 1,285  A*30-B*51-DRB1*16-DQB1*05  Mexico Veracruz, Xalapa 0.2674187
 1,286  A*68-B*51-DRB1*16-DQB1*03:01  Mexico Veracruz, Xalapa 0.2674187
 1,287  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Mexico City North 0.2656751
 1,288  A*02:01:01:01-B*44:05:01-C*07:02:01:03-DRB1*16:01:01-DQB1*05:02:01  Russia Bashkortostan, Tatars 0.2604192
 1,289  A*25:01:01-B*18:01:01-C*06:02:01:01-DRB1*16:01:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 1,290  A*32:01:01-B*27:02:01-C*02:02:02:01-DRB1*16:01:01-DQB1*05:02:01  Russia Bashkortostan, Tatars 0.2604192
 1,291  A*68:01:02:02-B*48:01:01-C*08:01:01-DRB1*16:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 1,292  A*02:01-B*49:01-C*07:01-DRB1*16:01-DQA1*01:02-DQB1*06:02-DPB1*05:01  USA San Diego 0.2600496
 1,293  A*02:06-B*27:06-C*04:01-DRB1*16:09-DQA1*01:01-DQB1*05:01-DPB1*03:01  USA San Diego 0.2600496
 1,294  A*03-B*44-DRB1*16  Russia Moscow Pop 2 0.26002,000
 1,295  A*11:01-B*51:01-C*14:02-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPB1*05:01  USA San Diego 0.2600496
 1,296  A*24:02-B*40:02-C*08:01-DRB1*16:02-DQA1*04:01-DQB1*04:02-DPB1*04:02  USA San Diego 0.2600496
 1,297  A*29:02-B*51:01-C*02:02-DRB1*16:09-DQA1*01:02-DQB1*06:02-DPB1*04:01  USA San Diego 0.2600496
 1,298  B*35:01-DRB1*16:01  Italy pop 5 0.2600975
 1,299  B*55:01-DRB1*16:01  Italy pop 5 0.2600975
 1,300  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.25951,734

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 1,201 to 1,300 (from 6,863) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 69  


   

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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