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 : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 101 to 200 (from 359) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*24:02-B*15:05-C*03:03-DRB1*15:01-DQA1*06:01-DQB1*03:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 102  A*26:01-B*15:05-C*03:03-DRB1*15:02-DQA1*01:03-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 103  A*32:01-B*15:05-C*03:03-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPB1*09:01  Sri Lanka Colombo 0.0700714
 104  A*33:03-B*15:05-C*12:03-DRB1*15:02-DQA1*01:03-DQB1*02:02-DPB1*05:01  Sri Lanka Colombo 0.0700714
 105  A*02:01-B*15:05-C*01:02-DRB1*04:11-DQB1*03:02  Colombia Bogotá Cord Blood 0.06841,463
 106  A*31:15-B*15:05-C*01:02-DRB1*04:11-DQB1*03:02  Colombia Bogotá Cord Blood 0.06841,463
 107  A*02-B*15:05-DRB1*08-DQB1*04  Mexico Mexico City North 0.0664751
 108  A*02-B*15:05-DRB1*14-DQB1*03:01  Mexico Mexico City North 0.0664751
 109  A*03-B*15:05-DRB1*01-DQB1*05  Mexico Mexico City North 0.0664751
 110  A*02:11-B*15:05-C*03:03-DRB1*14:04-DQB1*05:03  India East UCBB 0.06242,403
 111  A*02-B*15:05-DRB1*14-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.0607824
 112  A*24-B*15:05-DRB1*08-DQB1*04  Ecuador Andes Mixed Ancestry 0.0607824
 113  A*68:01-B*15:05-C*07:04-DRB1*15:02-DQB1*05:03  India Tamil Nadu 0.06022,492
 114  A*02-B*15:05-DRB1*08-DQB1*04  Mexico Puebla Rural 0.0600833
 115  A*24-B*15:05-DRB1*04-DQB1*03:02  Mexico Puebla Rural 0.0600833
 116  A*24-B*15:05-DRB1*16-DQB1*03:01  Mexico Puebla Rural 0.0600833
 117  A*01:01-B*15:05  USA Asian pop 2 0.05601,772
 118  A*11:01-B*15:05-C*03:03-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.05402,492
 119  A*01:01-B*15:05-C*04:01-DRB1*07:01-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 120  A*02:11-B*15:05-C*03:03-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.05212,492
 121  A*31-B*15:05-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.05011,994
 122  A*68-B*15:05-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.05011,994
 123  A*68-B*15:05-DRB1*07-DQB1*02  Mexico Puebla, Puebla city 0.05011,994
 124  A*02:11-B*15:05-C*03:03-DRB1*14:04-DQB1*05:03  India North UCBB 0.04865,849
 125  A*02:11-B*15:05-C*03:03-DRB1*14:04-DQB1*05:03  India West UCBB 0.04765,829
 126  A*02:11-B*15:05-C*03:03-DRB1*11:11-DQB1*03:01  USA Asian pop 2 0.04401,772
 127  A*11:01-B*15:05-C*03:03-DRB1*04:06-DQB1*03:02  USA Asian pop 2 0.04401,772
 128  A*24:02-B*15:05-C*03:03-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.04401,772
 129  A*24:02-B*15:05-C*15:02-DRB1*11:04-DQB1*03:01  USA Asian pop 2 0.04401,772
 130  A*01:01-B*15:05-C*06:02-DRB1*15:02-DQB1*05:03  India North UCBB 0.04275,849
 131  A*02-B*15:05-DRB1*13-DQB1*03:01  Ecuador Mixed Ancestry 0.04261,173
 132  A*02-B*15:05-DRB1*14-DQB1*03:01  Ecuador Mixed Ancestry 0.04261,173
 133  A*24-B*15:05-DRB1*08-DQB1*04  Ecuador Mixed Ancestry 0.04261,173
 134  A*24-B*15:05-DRB1*08-DQB1*04  Mexico Jalisco, Guadalajara city 0.04191,189
 135  A*31-B*15:05-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 0.04191,189
 136  A*68-B*15:05-DRB1*07-DQB1*02  Mexico Jalisco, Guadalajara city 0.04191,189
 137  A*11:01-B*15:05-C*03:03-DRB1*12:02-DQB1*05:02  India East UCBB 0.04162,403
 138  A*02:01-B*15:05-C*04:01-DRB1*12:02  Germany DKMS - China minority 0.03901,282
 139  A*02:06-B*15:05-C*04:01-DRB1*14:05  Germany DKMS - China minority 0.03901,282
 140  A*24:02-B*15:05-C*04:01-DRB1*04:06  Germany DKMS - China minority 0.03901,282
 141  A*02:11-B*15:05-C*03:03-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.03822,492
 142  A*03:01-B*15:05-C*07:29-DRB1*11:01-DQB1*03:01  India North UCBB 0.03755,849
 143  A*02:11-B*15:05-C*03:03-DRB1*14:04-DQB1*05:03  India Central UCBB 0.03524,204
 144  B*15:05-C*04:01  USA Asian pop 2 0.03501,772
 145  A*03:01-B*15:05-C*07:29-DRB1*11:01-DQB1*03:01  India West UCBB 0.03435,829
 146  A*24:02-B*15:05-C*03:03-DRB1*15:02-DQB1*06:01  India West UCBB 0.03435,829
 147  A*02:11-B*15:05-C*04:01-DRB1*16:02-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 148  A*02:22-B*15:05-C*01:02-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 149  A*33:03-B*15:05-C*03:03-DRB1*07:01-DQB1*03:03  India Central UCBB 0.03254,204
 150  A*02:11-B*15:05-C*03:03-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.03112,492
 151  B*15:05-C*16:02  USA Asian pop 2 0.02901,772
 152  A*02:01:01-B*15:05:01-C*04:01:01-DRB1*04:06:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 153  A*02:11-B*15:05-C*03:03-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.02862,492
 154  A*32:01-B*15:05  USA Asian pop 2 0.02801,772
 155  B*15:05-C*15:02  USA Asian pop 2 0.02801,772
 156  A*24:02-B*15:05-C*03:03-DRB1*14:04-DQB1*05:03  India South UCBB 0.026511,446
 157  A*26:01-B*15:05-C*03:03-DRB1*14:04-DQB1*06:03  India West UCBB 0.02575,829
 158  A*24:02-B*15:05-C*03:03-DRB1*15:02-DQB1*05:03  India North UCBB 0.02565,849
 159  A*11:01-B*15:05-DRB1*04:06  Hong Kong Chinese cord blood registry 0.02533,892
 160  A*02:11-B*15:05-C*03:03-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02532,492
 161  A*02-B*15:05-DRB1*04-DQB1*03:01  Mexico Puebla, Puebla city 0.02511,994
 162  A*02-B*15:05-DRB1*08-DQB1*04  Mexico Puebla, Puebla city 0.02511,994
 163  A*24-B*15:05-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.02511,994
 164  A*03:01-B*15:05-C*07:29-DRB1*11:01-DQB1*03:01  India Central UCBB 0.02384,204
 165  A*02:11-B*15:05-C*03:03-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02112,492
 166  A*02:03-B*15:05-C*03:03-DRB1*15:02-DQB1*05:03  India East UCBB 0.02082,403
 167  A*02:06-B*15:05-C*07:04-DRB1*15:02-DQB1*05:03  India East UCBB 0.02082,403
 168  A*02:11-B*15:05-C*03:03-DRB1*07:01-DQB1*03:03  India East UCBB 0.02082,403
 169  A*02:11-B*15:05-C*03:03-DRB1*15:02-DQB1*05:03  India East UCBB 0.02082,403
 170  A*03:01-B*15:05-C*03:03-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 171  A*03:01-B*15:05-C*03:03-DRB1*15:06-DQB1*05:02  India East UCBB 0.02082,403
 172  A*03:01-B*15:05-C*07:29-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 173  A*11:01-B*15:05-C*03:03-DRB1*13:01-DQB1*06:03  India East UCBB 0.02082,403
 174  A*11:01-B*15:05-C*03:03-DRB1*14:04-DQB1*05:03  India South UCBB 0.020811,446
 175  A*11:01-B*15:05-C*05:01-DRB1*14:04-DQB1*05:03  India East UCBB 0.02082,403
 176  A*26:01-B*15:05-C*03:03-DRB1*01:01-DQB1*05:01  India East UCBB 0.02082,403
 177  A*33:03-B*15:05-C*03:02-DRB1*14:04-DQB1*05:03  India East UCBB 0.02082,403
 178  A*33:03-B*15:05-C*03:03-DRB1*15:02-DQB1*05:03  India East UCBB 0.02082,403
 179  A*33:03-B*15:05-C*04:03-DRB1*04:01-DQB1*03:02  India East UCBB 0.02082,403
 180  A*68:01-B*15:05-C*03:03-DRB1*15:02-DQB1*05:03  India East UCBB 0.02082,403
 181  A*68:01-B*15:05-C*03:03-DRB1*15:04-DQB1*03:01  India East UCBB 0.02082,403
 182  A*68:01-B*15:05-C*07:29-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 183  A*68:01-B*15:05-C*16:02-DRB1*15:02-DQB1*05:03  India East UCBB 0.02082,403
 184  A*33:03-B*15:05-C*03:03-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.02072,492
 185  A*01:01-B*15:05-C*03:03-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.02012,492
 186  A*02:11-B*15:05-C*03:03-DRB1*04:05-DQB1*04:02  India Tamil Nadu 0.02012,492
 187  A*02:11-B*15:05-C*03:03-DRB1*14:04-DQB1*05:01  India Tamil Nadu 0.02012,492
 188  A*11:01-B*15:05-C*07:04-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.02012,492
 189  A*24:02-B*15:05-C*03:03-DRB1*15:02-DQB1*02:01  India Tamil Nadu 0.02012,492
 190  A*31:01-B*15:05-C*03:03-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.02012,492
 191  A*31:01-B*15:05-C*03:03-DRB1*15:02-DQB1*05:03  India Tamil Nadu 0.02012,492
 192  A*03:01-B*15:05-C*03:03-DRB1*15:02-DQB1*06:01  India West UCBB 0.01935,829
 193  A*68:01-B*15:05-C*07:04-DRB1*15:02-DQB1*05:03  India South UCBB 0.017511,446
 194  A*02:01-B*15:05-C*03:03-DRB1*15:02-DQB1*05:03  India South UCBB 0.017411,446
 195  A*24:02-B*15:05-C*03:03-DRB1*15:02-DQB1*05:03  India South UCBB 0.017411,446
 196  A*02:11-B*15:05-C*03:03-DRB1*11:01-DQB1*03:01  India West UCBB 0.01725,829
 197  A*02:11-B*15:05-C*03:03-DRB1*15:02-DQB1*06:01  India West UCBB 0.01725,829
 198  A*11:01-B*15:05-C*03:03-DRB1*11:01-DQB1*03:01  India West UCBB 0.01725,829
 199  A*33:03-B*15:05-C*03:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.01725,829
 200  A*33:03-B*15:05-C*03:03-DRB1*15:01-DQB1*06:01  India West UCBB 0.01725,829

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 359) records   Pages: 1 2 3 4 of 4  


   

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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