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 300 (from 333) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*31:01-B*40:01-DRB1*04:01  Israel Poland Jews 0.010813,871
 202  A*24:02-B*40:01-C*03:04-DRB1*04:01  Poland DKMS 0.010520,653
 203  A*02:02-B*40:02-DRB1*04:01  Israel Ethiopia Jews 0.01045,928
 204  A*02:01-B*40:02-C*03:04-DRB1*04:01  Japan pop 16 0.010018,604
 205  A*02:06-B*40:02-C*03:04-DRB1*04:01  Japan pop 16 0.010018,604
 206  A*24:02-B*40:01-C*03:04-DRB1*04:01  Japan pop 16 0.010018,604
 207  A*24:02-B*40:02-C*07:04-DRB1*04:01-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 208  A*26:03-B*40:02-C*03:03-DRB1*04:01  Japan pop 16 0.010018,604
 209  A*31:01-B*40:02-C*15:02-DRB1*04:01  Japan pop 16 0.010018,604
 210  A*33:03-B*40:06-C*01:02-DRB1*04:01-DQB1*03:02  India West UCBB 0.01005,829
 211  A*68:01-B*40:01-C*03:04-DRB1*04:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 212  A*11:01-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02  India South UCBB 0.009811,446
 213  A*01:01:01-B*40:02:01-C*02:02:02-DRB1*04:01:01-DPB1*01:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00945,266
 214  A*24:02-B*40:02-DRB1*04:01  Hong Kong Chinese cord blood registry 0.00903,892
 215  A*01:01-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02  India South UCBB 0.008711,446
 216  A*29:01-B*40:06-C*15:05-DRB1*04:01-DQB1*03:02  India South UCBB 0.008711,446
 217  A*01:01-B*40:06-C*01:02-DRB1*04:01-DQB1*03:01  India West UCBB 0.00865,829
 218  A*01:01-B*40:06-C*15:02-DRB1*04:01-DQB1*03:02  India South UCBB 0.008611,446
 219  A*02:01-B*40:06-C*01:17-DRB1*04:01-DQB1*03:11  India West UCBB 0.00865,829
 220  A*02:11-B*40:06-C*15:02-DRB1*04:01-DQB1*03:01  India West UCBB 0.00865,829
 221  A*26:01-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02  India West UCBB 0.00865,829
 222  A*32:01-B*40:06-C*15:02-DRB1*04:01-DQB1*03:02  India West UCBB 0.00865,829
 223  A*68:01-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02  India West UCBB 0.00865,829
 224  A*68:01-B*40:06-C*15:02-DRB1*04:01-DQB1*03:01  India West UCBB 0.00865,829
 225  A*03:02-B*40:01-DRB1*04:01  Israel Ethiopia Jews 0.00855,928
 226  A*02:06-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02  India North UCBB 0.00855,849
 227  A*02:11-B*40:06-C*12:02-DRB1*04:01-DQB1*03:01  India North UCBB 0.00855,849
 228  A*03:01-B*40:06-C*12:02-DRB1*04:01-DQB1*03:02  India South UCBB 0.008511,446
 229  A*03:01-B*40:06-C*15:02-DRB1*04:01-DQB1*03:02  India North UCBB 0.00855,849
 230  A*26:01-B*40:01-C*12:03-DRB1*04:01-DQB1*03:02  India North UCBB 0.00855,849
 231  A*68:01-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02  India North UCBB 0.00855,849
 232  A*68:01-B*40:06-C*15:02-DRB1*04:01-DQB1*03:01  India North UCBB 0.00855,849
 233  A*32:01-B*40:01-C*03:04-DRB1*04:01  Poland DKMS 0.008420,653
 234  A*03:01:01-B*40:01:02-C*03:04:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.008423,595
 235  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.008223,595
 236  A*26:01-B*40:01-DRB1*04:01  Israel Arab pop 2 0.008112,301
 237  A*30:01-B*40:01-DRB1*04:01  Israel USSR Jews 0.008145,681
 238  A*24:02:01-B*40:02:01-C*03:03:01-DRB1*04:01:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00735,266
 239  A*26:01-B*40:01-DRB1*04:01  Israel USSR Jews 0.007345,681
 240  A*68:01-B*40:06-C*15:02-DRB1*04:01-DQB1*03:02  India South UCBB 0.007211,446
 241  A*24:02-B*40:06-C*01:02-DRB1*04:01-DQB1*03:02  India West UCBB 0.00715,829
 242  A*68:02-B*40:01-DRB1*04:01  Israel USSR Jews 0.006245,681
 243  A*26:01-B*40:01-C*07:02-DRB1*04:01  Hong Kong Chinese BMDR 0.00617,595
 244  A*01:01-B*40:01-C*03:04-DRB1*04:01  Poland DKMS 0.005920,653
 245  A*24:02-B*40:06-C*15:02-DRB1*04:01-DQB1*03:02  India South UCBB 0.005811,446
 246  A*02:01-B*40:01-C*15:02-DRB1*04:01  Japan pop 16 0.005018,604
 247  A*02:06-B*40:02-C*03:03-DRB1*04:01  Japan pop 16 0.005018,604
 248  A*02:06-B*40:02-C*15:02-DRB1*04:01  Japan pop 16 0.005018,604
 249  A*02:06-B*40:06-C*08:01-DRB1*04:01  Japan pop 16 0.005018,604
 250  A*02:10-B*40:06-C*08:01-DRB1*04:01  Japan pop 16 0.005018,604
 251  A*11:01-B*40:06-C*08:01-DRB1*04:01  Japan pop 16 0.005018,604
 252  A*24:02-B*40:01-C*07:02-DRB1*04:01  Japan pop 16 0.005018,604
 253  A*24:02-B*40:02-C*01:02-DRB1*04:01  Japan pop 16 0.005018,604
 254  A*26:01-B*40:02-C*03:04-DRB1*04:01  Japan pop 16 0.005018,604
 255  A*31:01-B*40:02-C*03:03-DRB1*04:01  Japan pop 16 0.005018,604
 256  A*31:01-B*40:02-C*03:04-DRB1*04:01  Japan pop 16 0.005018,604
 257  A*01:01-B*40:02-C*02:02-DRB1*04:01  Poland DKMS 0.004920,653
 258  A*68:01-B*40:06-C*15:02-DRB1*04:01-DQB1*03:01  India South UCBB 0.004911,446
 259  A*02:01-B*40:02-C*15:02-DRB1*04:01  Poland DKMS 0.004820,653
 260  A*33:03-B*40:01-C*03:04-DRB1*04:01  Poland DKMS 0.004820,653
 261  A*02:01-B*40:06-C*15:02-DRB1*04:01-DQB1*03:01  India South UCBB 0.004711,446
 262  A*01:01-B*40:06-C*01:02-DRB1*04:01-DQB1*03:01  India South UCBB 0.004411,446
 263  A*01:01-B*40:06-C*06:02-DRB1*04:01-DQB1*03:02  India South UCBB 0.004411,446
 264  A*02:01-B*40:06-C*07:02-DRB1*04:01-DQB1*03:02  India South UCBB 0.004411,446
 265  A*02:03-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02  India South UCBB 0.004411,446
 266  A*03:01-B*40:01-C*12:03-DRB1*04:01-DQB1*03:02  India South UCBB 0.004411,446
 267  A*11:19-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02  India South UCBB 0.004411,446
 268  A*26:01-B*40:06-C*01:02-DRB1*04:01-DQB1*03:02  India South UCBB 0.004411,446
 269  A*26:01-B*40:06-C*12:02-DRB1*04:01-DQB1*03:02  India South UCBB 0.004411,446
 270  A*31:01-B*40:01-C*03:04-DRB1*04:01-DQB1*03:01  India South UCBB 0.004411,446
 271  A*31:01-B*40:06-C*12:02-DRB1*04:01-DQB1*03:02  India South UCBB 0.004411,446
 272  A*31:143-B*40:06-C*12:02-DRB1*04:01-DQB1*03:02  India South UCBB 0.004411,446
 273  A*03:01:01-B*40:02:01-C*02:02:02-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.004423,595
 274  A*02:03-B*40:06-C*15:02-DRB1*04:01-DQB1*03:02  India South UCBB 0.004311,446
 275  A*31:01:02-B*40:01:02-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.004323,595
 276  A*25:01:01-B*40:02:01-C*03:04:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.004323,595
 277  A*32:01:01-B*40:02:01-C*15:02:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.004223,595
 278  A*01:01:01-B*40:01:02-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.004223,595
 279  A*02:03-B*40:01-C*07:02-DRB1*04:01  Hong Kong Chinese BMDR 0.00417,595
 280  A*24:07-B*40:06-C*15:02-DRB1*04:01-DQB1*03:02  India South UCBB 0.004111,446
 281  A*25:01:01-B*40:01:02-C*03:04:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.003923,595
 282  A*01:01-B*40:02-DRB1*04:01  Israel Poland Jews 0.003613,871
 283  A*02:01-B*40:01-DRB1*04:01  Israel Poland Jews 0.003613,871
 284  A*24:04-B*40:02-DRB1*04:01  Israel USSR Jews 0.003345,681
 285  A*02:01-B*40:01-DRB1*04:01  Israel YemenJews 0.003215,542
 286  A*24:02:01-B*40:02:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.003023,595
 287  A*24:02-B*40:06-C*14:02-DRB1*04:01-DQB1*03:02  India South UCBB 0.003011,446
 288  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.003023,595
 289  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*04:01:01-DQB1*02:01:01  Poland BMR 0.002923,595
 290  A*03:01-B*40:02-C*02:02-DRB1*04:01  Poland DKMS 0.002720,653
 291  A*03:01-B*40:01-DRB1*04:01  Israel USSR Jews 0.002645,681
 292  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.002523,595
 293  A*25:01-B*40:02-C*02:02-DRB1*04:01  Poland DKMS 0.002520,653
 294  A*31:01-B*40:01-C*03:03-DRB1*04:01  Poland DKMS 0.002520,653
 295  A*24:02-B*40:02-DRB1*04:01  Israel USSR Jews 0.002545,681
 296  A*01:01-B*40:02-C*15:02-DRB1*04:01  Poland DKMS 0.002420,653
 297  A*02:01-B*40:01-C*07:02-DRB1*04:01  Poland DKMS 0.002420,653
 298  A*11:01-B*40:02-C*03:04-DRB1*04:01  Poland DKMS 0.002420,653
 299  A*30:02-B*40:01-C*03:04-DRB1*04:01  Poland DKMS 0.002420,653
 300  A*32:01-B*40:01-DRB1*04:01  Israel USSR Jews 0.002345,681

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 300 (from 333) 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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