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 101 to 200 (from 225) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*31:01-B*78:01-C*16:01-DRB1*13:01-DQB1*03:01  USA African American pop 4 0.04402,411
 102  A*68:02-B*78:01-C*16:01-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.04402,411
 103  A*01:01-B*78:01  USA African American pop 4 0.04302,411
 104  A*68:02-B*78:01-C*16:01-DRB1*13:02  Germany DKMS - Portugal minority 0.04301,176
 105  A*68-B*78-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.04261,173
 106  A*01-B*78-DRB1*11-DQB1*06  Mexico Jalisco, Guadalajara city 0.04191,189
 107  A*02-B*78-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 0.04191,189
 108  A*31:01-B*78:01-C*12:03-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.04012,492
 109  A*31-B*78-DRB1*10  Brazil Para State 0.04005,000
 110  A*02-B*78-C*15-DRB1*13  Macedonia MBMDR - Macedonian 0.03901,283
 111  A*23:01-B*78:01  USA African American pop 4 0.03802,411
 112  A*33:01-B*78:01  USA Hispanic pop 2 0.03701,999
 113  A*30:02-B*78:01-C*16:01-DRB1*10:01  Germany DKMS - France minority 0.03601,406
 114  A*33:03-B*78:01-C*16:01-DRB1*09:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 115  A*33:01-B*78:01-C*16:01-DRB1*10:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 116  A*24-B*78-C*01-DRB1*14-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 117  A*30-B*78-C*16-DRB1*11-DQA1*01-DQB1*03  Spain, Castilla y Leon, Northwest, 0.03281,743
 118  A*68:01-B*78:01  USA African American pop 4 0.03202,411
 119  A*01:01-B*78:01  USA Hispanic pop 2 0.03001,999
 120  A*31:01-B*78:01  USA African American pop 4 0.02802,411
 121  A*02-B*78-DRB1*16-DQB1*03:01  Mexico Puebla, Puebla city 0.02511,994
 122  A*31-B*78-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.02511,994
 123  A*68-B*78-DRB1*01-DQB1*05  Mexico Puebla, Puebla city 0.02511,994
 124  A*02:02-B*78:01  USA Hispanic pop 2 0.02501,999
 125  A*03:01-B*78:01-C*16:01-DRB1*14:01-DQB1*05:03  USA African American pop 4 0.02202,411
 126  A*26:01-B*78:01  USA African American pop 4 0.02202,411
 127  A*33:01-B*78:01-C*16:01-DRB1*14:01-DQB1*05:03  USA African American pop 4 0.02202,411
 128  A*02:05-B*78:01  USA African American pop 4 0.02102,411
 129  A*33:03-B*78:02  USA African American pop 4 0.02102,411
 130  B*78:01-C*01:02  USA African American pop 4 0.02102,411
 131  B*78:02-C*16:01  USA African American pop 4 0.02102,411
 132  A*68:01-B*78:02-C*15:02-DRB1*04:01-DQB1*03:02  India East UCBB 0.02082,403
 133  A*02:11-B*78:02-C*14:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.02012,492
 134  A*11:01-B*78:01-C*12:03-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02012,492
 135  A*11:01-B*78:01-C*12:03-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 136  A*29-B*78-DRB1*13  Brazil Para State 0.02005,000
 137  A*31-B*78-DRB1*13  Brazil Para State 0.02005,000
 138  A*33:03-B*78:01  USA Hispanic pop 2 0.02001,999
 139  A*33-B*78-DRB1*13  Brazil Para State 0.02005,000
 140  A*68-B*78-DRB1*11:100  Chile Santiago 0.0181920
 141  A*68-B*78-DRB1*11:97  Chile Santiago 0.0181920
 142  A*03:01-B*78:01  USA Hispanic pop 2 0.01401,999
 143  A*68:01-B*78:02-C*16:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.01194,204
 144  A*24:02-B*78:01-C*16:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.01102,411
 145  A*24:02-B*78:01-C*16:01-DRB1*04:05-DQB1*02:01  USA African American pop 4 0.01102,411
 146  A*30:01-B*78:01-C*17:01-DRB1*03:02-DQB1*04:02  USA African American pop 4 0.01102,411
 147  A*30:01-B*78:01-C*17:01-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.01102,411
 148  A*33:01-B*78:01-C*16:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.01102,411
 149  A*33:01-B*78:01-C*16:01-DRB1*04:05-DQB1*02:01  USA African American pop 4 0.01102,411
 150  A*68:01-B*78:01-C*17:01-DRB1*03:02-DQB1*04:02  USA African American pop 4 0.01102,411
 151  A*68:01-B*78:01-C*17:01-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.01102,411
 152  A*02:01-B*78:01-C*12:03-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.01002,492
 153  A*02:01-B*78:01-C*12:03-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.01002,492
 154  A*03-B*78-DRB1*15  Brazil Para State 0.01005,000
 155  A*23-B*78-DRB1*10  Brazil Para State 0.01005,000
 156  A*23-B*78-DRB1*13  Brazil Para State 0.01005,000
 157  A*24-B*78-DRB1*10  Brazil Para State 0.01005,000
 158  A*33-B*78-DRB1*08  Brazil Para State 0.01005,000
 159  A*34-B*78-DRB1*07  Brazil Para State 0.01005,000
 160  A*34-B*78-DRB1*13  Brazil Para State 0.01005,000
 161  A*29-B*78-DRB1*13  Brazil South East Cord Blood 0.009011,409
 162  A*02:11-B*78:02-C*12:09-DRB1*04:01-DQB1*03:02  India North UCBB 0.00855,849
 163  A*03:02-B*78:01-DRB1*09:01  Israel USA Jews 0.00836,058
 164  A*31:01-B*78:01-DRB1*13:01  Israel USA Jews 0.00836,058
 165  A*68:02-B*78:01-DRB1*08:06  Israel Arab pop 2 0.008112,301
 166  A*33:03-B*78:01  USA African American pop 4 0.00702,411
 167  A*33-B*78-DRB1*01  Brazil South East Cord Blood 0.007011,409
 168  A*33-B*78-DRB1*03  Brazil South East Cord Blood 0.007011,409
 169  A*33-B*78-DRB1*11  Brazil South East Cord Blood 0.006011,409
 170  A*03-B*78-DRB1*13  Brazil South East Cord Blood 0.005011,409
 171  A*24:02-B*78:02-C*14:02-DRB1*04:04  Japan pop 16 0.005018,604
 172  A*68-B*78-DRB1*11  Brazil South East Cord Blood 0.005011,409
 173  A*01:01-B*78:02-C*04:01-DRB1*04:03-DQB1*03:03  India South UCBB 0.004411,446
 174  A*33:01-B*78:01-DRB1*13:03  Israel Arab pop 2 0.004112,301
 175  A*68:02-B*78:01-DRB1*08:04  Israel Arab pop 2 0.004112,301
 176  A*23-B*78-DRB1*08  Brazil South East Cord Blood 0.004011,409
 177  A*24-B*78-DRB1*16  Brazil South East Cord Blood 0.004011,409
 178  A*29-B*78-DRB1*03  Brazil South East Cord Blood 0.004011,409
 179  A*32-B*78-DRB1*07  Brazil South East Cord Blood 0.004011,409
 180  A*68:02-B*78:01-DRB1*04:03  Israel Arab pop 2 0.002612,301
 181  A*03:01-B*78:02-C*16:02-DRB1*16:02  Poland DKMS 0.002420,653
 182  A*66:01-B*78:01-DRB1*03:01  Israel Arab pop 2 0.002012,301
 183  A*66:01-B*78:01-DRB1*03:02  Israel Arab pop 2 0.002012,301
 184  A*24:02-B*78:01-C*12:03-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.00122,492
 185  A*24:03-B*78:01-C*12:03-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.00122,492
 186  A*24:07-B*78:01-C*12:03-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.00122,492
 187  A*24:10-B*78:01-C*12:03-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.00122,492
 188  A*24:17-B*78:01-C*12:03-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.00122,492
 189  A*24:32-B*78:01-C*12:03-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.00122,492
 190  A*24:55-B*78:01-C*12:03-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.00122,492
 191  A*24:02-B*78:01-C*12:03-DRB1*15:02-DQB1*05:03  India Tamil Nadu 0.00061002,492
 192  A*24:03-B*78:01-C*12:03-DRB1*15:02-DQB1*05:03  India Tamil Nadu 0.00061002,492
 193  A*24:07-B*78:01-C*12:03-DRB1*15:02-DQB1*05:03  India Tamil Nadu 0.00061002,492
 194  A*24:10-B*78:01-C*12:03-DRB1*15:02-DQB1*05:03  India Tamil Nadu 0.00061002,492
 195  A*24:17-B*78:01-C*12:03-DRB1*15:02-DQB1*05:03  India Tamil Nadu 0.00061002,492
 196  A*24:32-B*78:01-C*12:03-DRB1*15:02-DQB1*05:03  India Tamil Nadu 0.00061002,492
 197  A*24:55-B*78:01-C*12:03-DRB1*15:02-DQB1*05:03  India Tamil Nadu 0.00061002,492
 198  A*24:02-B*78:01-C*12:03-DRB1*15:01-DQB1*05:02  India Tamil Nadu 0.00041202,492
 199  A*24:02-B*78:01-C*12:03-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.00041202,492
 200  A*24:03-B*78:01-C*12:03-DRB1*15:01-DQB1*05:02  India Tamil Nadu 0.00041202,492

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 101 to 200 (from 225) records   Pages: 1 2 3 of 3  


   

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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