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 201 to 273 (from 273) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*03:02-B*56:01-DRB1*15:01  Israel USSR Jews 0.006845,681
 202  A*24:02:40-B*56:04:01-C*01:02:01-DRB1*15:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00675,266
 203  A*02:06:01-B*56:01:01-C*01:02:01-DRB1*15:02:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00665,266
 204  A*11:01-B*56:04-C*01:02-DRB1*15:02  Hong Kong Chinese BMDR 0.00667,595
 205  A*24:10:01-B*56:04:01-C*07:02:01-DRB1*15:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00665,266
 206  A*24:02-B*56:01-C*01:02-DRB1*15:01  Hong Kong Chinese BMDR 0.00657,595
 207  A*02:03-B*56:01-C*12:03-DRB1*15:02  Hong Kong Chinese BMDR 0.00647,595
 208  A*24:02-B*56:02-C*01:02-DRB1*15:02  Hong Kong Chinese BMDR 0.00637,595
 209  A*24:02-B*56:04-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.00637,595
 210  A*02:03:01-B*56:04:01-C*07:02:01-DRB1*15:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00625,266
 211  A*25:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.006123,595
 212  A*11:01-B*56:03-C*03:04-DRB1*15:01  Hong Kong Chinese BMDR 0.00597,595
 213  A*11:01:01-B*56:04:01-C*01:02:01-DRB1*15:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00585,266
 214  A*11:01-B*56:01-DRB1*15:02  Israel Tunisia Jews 0.00559,070
 215  A*02:01-B*56:01-C*01:02-DRB1*15:06-DQB1*05:02  India West UCBB 0.00545,829
 216  A*11:01-B*56:01-C*07:02-DRB1*15:02  Hong Kong Chinese BMDR 0.00527,595
 217  A*02:06-B*56:01-C*01:02-DRB1*15:01  Japan pop 16 0.005018,604
 218  A*02:06-B*56:01-C*07:02-DRB1*15:01  Japan pop 16 0.005018,604
 219  A*11:01-B*56:01-C*01:02-DRB1*15:02  Japan pop 16 0.005018,604
 220  A*31:01-B*56:01-C*04:01-DRB1*15:01  Japan pop 16 0.005018,604
 221  A*02:11-B*56:01-C*15:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.004811,446
 222  A*11:01-B*56:01-C*01:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.004511,446
 223  A*01:01-B*56:01-C*04:01-DRB1*15:02-DQB1*06:01  India South UCBB 0.004411,446
 224  A*01:01-B*56:01-C*12:02-DRB1*15:06-DQB1*05:02  India South UCBB 0.004411,446
 225  A*02:03-B*56:01-C*01:02-DRB1*15:02-DQB1*05:02  India South UCBB 0.004411,446
 226  A*02:11-B*56:01-C*01:02-DRB1*15:02-DQB1*05:02  India South UCBB 0.004411,446
 227  A*02:11-B*56:01-C*04:01-DRB1*15:01-DQB1*05:02  India South UCBB 0.004411,446
 228  A*11:01-B*56:01-C*04:01-DRB1*15:02-DQB1*05:03  India South UCBB 0.004411,446
 229  A*32:01-B*56:01-C*01:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.004411,446
 230  A*11:01-B*56:04-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.00417,595
 231  A*24:03-B*56:04-C*01:02-DRB1*15:02  Hong Kong Chinese BMDR 0.00417,595
 232  A*26-B*56-DRB1*15  Brazil South East Cord Blood 0.004011,409
 233  A*68:01-B*56:01-C*15:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.003911,446
 234  A*24:02-B*56:01-C*01:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00362,492
 235  A*24:02-B*56:01-C*01:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00362,492
 236  A*24:02-B*56:04-C*01:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00362,492
 237  A*24:02-B*56:04-C*01:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00362,492
 238  A*01:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.003523,595
 239  A*02:11-B*56:01-C*04:01-DRB1*15:02-DQB1*06:01  India West UCBB 0.00325,829
 240  A*24:02-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.00292,492
 241  A*24:02-B*56:04-C*01:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.00292,492
 242  A*24:02-B*56:01-C*01:02-DRB1*15:01-DQB1*05:02  India Tamil Nadu 0.00252,492
 243  A*24:02-B*56:01-C*01:02-DRB1*15:02-DQB1*05:01  India Tamil Nadu 0.00252,492
 244  A*24:02-B*56:01-C*01:02-DRB1*15:02-DQB1*05:03  India Tamil Nadu 0.00252,492
 245  A*24:02-B*56:01-C*01:02-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.00252,492
 246  A*24:02-B*56:04-C*01:02-DRB1*15:01-DQB1*05:02  India Tamil Nadu 0.00252,492
 247  A*24:02-B*56:04-C*01:02-DRB1*15:02-DQB1*05:01  India Tamil Nadu 0.00252,492
 248  A*24:02-B*56:04-C*01:02-DRB1*15:02-DQB1*05:03  India Tamil Nadu 0.00252,492
 249  A*24:02-B*56:04-C*01:02-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.00252,492
 250  A*03:01-B*56:01-C*01:02-DRB1*15:03  Poland DKMS 0.002420,653
 251  A*31:01-B*56:01-C*04:01-DRB1*15:01  Poland DKMS 0.002420,653
 252  A*01:01-B*56:01-DRB1*15:01  Israel USSR Jews 0.002145,681
 253  A*24:03:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 254  A*32:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 255  A*26:01:40-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.001723,595
 256  A*24:02-B*56:01-C*01:02-DRB1*15:01  Poland DKMS 0.001520,653
 257  A*24:04-B*56:01-DRB1*15:01  Israel USSR Jews 0.001245,681
 258  A*31:01-B*56:01-DRB1*15:01  Israel USSR Jews 0.001245,681
 259  A*01:01-B*56:01-DRB1*15:02  Israel USSR Jews 0.001245,681
 260  A*02:17-B*56:01-DRB1*15:01  Israel USSR Jews 0.001045,681
 261  A*26:01-B*56:01-DRB1*15:02  Israel Morocco Jews 0.001036,718
 262  A*31:08-B*56:01-DRB1*15:01  Israel USSR Jews 0.000723045,681
 263  A*33:01-B*56:01-DRB1*15:01  Israel USSR Jews 0.000547045,681
 264  A*33:01-B*56:01-DRB1*15:02  Israel USSR Jews 0.000547045,681
 265  A*02:01-B*56:01-C*01:02-DRB1*15:01-DQB1*05:02  India Tamil Nadu 0.00001112,492
 266  A*02:01-B*56:01-C*01:02-DRB1*15:02-DQB1*05:01  India Tamil Nadu 0.00001112,492
 267  A*02:01-B*56:01-C*01:02-DRB1*15:02-DQB1*05:03  India Tamil Nadu 0.00001112,492
 268  A*02:01-B*56:01-C*01:02-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.00001112,492
 269  A*68:01-B*56:01-C*04:01-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00000252,492
 270  A*68:01-B*56:01-C*04:01-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00000252,492
 271  A*68:01-B*56:01-C*04:01-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.00000042,492
 272  A*02-B*56-C*01-DRB1*15  Myanmar Rakhine 0.000000048
 273  A*68-B*56-C*01-DRB1*15  Myanmar Chin 0.000000055

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 201 to 273 (from 273) 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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