Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 301 to 400 (from 4,129) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 42  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*11:01-B*38:01-C*06:02-E*01:03:02-F*01:01:02-G*01:01-DRB1*07:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 302  A*24:02-B*15:18-C*07:04-E*01:03:02-F*01:01:01-G*01:04-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 303  A*24:17-B*27:05-C*02:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*04:04-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 304  A*26:01-B*38:06-C*12:03-E*01:03:02-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 305  A*26:02-B*38:06-C*04:01-E*01:03:02-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 306  A*29:02-B*53:01-C*04:01-E*01:03:02-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:01-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 307  A*30:01-B*35:27-C*04:01-E*01:03:01-F*01:01:01-G*01:05N-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 308  A*68:01-B*51:01-C*15:02-E*01:01:01-F*01:01:02-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 309  A*24:02-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.43461,075
 310  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.43101,159
 311  DRB1*13:01:01-DQB1*06:03-DPB1*04:02:01  China Inner Mongolia Autonomous Region Northeast 0.4300496
 312  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.42472,492
 313  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.424423,595
 314  A*02:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.42171,510
 315  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.4210356
 316  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.4210356
 317  A*11:01:01-B*39:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.4210356
 318  A*26:01:01-B*55:01:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.4210356
 319  A*01:01:01-B*15:01:01-C*03:03:01-DRB1*13:02:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 320  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*03:01-DQA1*05:01:01-DQB1*06:03:01-DPA1*02:01:02-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 321  A*02:01:01-B*44:02:01-C*03:04:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 322  A*02:01:01-B*44:02:01-C*04:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 323  A*02:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*02:01:01-DPB1*04:02:01  Russian Federation Vologda Region 0.4202119
 324  A*02:01:09-B*44:05:01-C*02:02:02-DRB1*04:04:01-DQA1*01:03:01-DQB1*06:03:01-DPA1*01:03:05-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 325  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*03:01-DQA1*05:01:01-DQB1*06:03-DPA1*02:01:02-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 326  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:03-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 327  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQA1*04:01:01-DQB1*06:03-DPA1*02:01:01-DPB1*03:01:01  Russian Federation Vologda Region 0.4202119
 328  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQA1*01:01:01-DQB1*06:03-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 329  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:03:01-DPA1*02:01:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 330  A*11:01:01-B*35:01:01-C*06:02:01-DRB1*13:01:01-DQA1*05:05:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 331  A*11:01:79-B*07:02:01-C*07:02:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 332  A*23:01:01-B*13:02:01-C*12:03:01-DRB1*13:01:01-DQA1*01:01:01-DQB1*06:03-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 333  A*24:02:01-B*15:01:01-C*03:03:01-DRB1*13:01:01-DQA1*05:05:01-DQB1*06:03-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 334  A*24:02:01-B*15:01:01-C*07:02:01-DRB1*04:04:01-DQA1*01:03:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 335  A*24:02:01-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQA1*05:05:01-DQB1*06:03-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 336  A*25:01:01-B*38:01:01-C*03:03:01-DRB1*04:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 337  A*32:01:01-B*39:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 338  A*32:01:01-B*41:02:01-C*17:03:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 339  A*68:01:02-B*44:02:01-C*03:04:01-DRB1*13:01-DQA1*05:01:01-DQB1*06:03-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 340  DRB1*11:01-DQB1*06:03  Georgia Caucasus Tbilisi 0.4202119
 341  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.4202714
 342  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*10:01-DQB1*06:03  Russia Bashkortostan, Bashkirs 0.4167120
 343  A*01:01:01:01-B*08:01:01-C*08:02:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Bashkirs 0.4167120
 344  A*02:01:01:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Bashkirs 0.4167120
 345  A*02:01:01:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Bashkirs 0.4167120
 346  A*02:01:01-B*18:01:01-C*05:01:01:01-DRB1*13:01:01-DQB1*06:03  Russia Bashkortostan, Bashkirs 0.4167120
 347  A*02:01:01-B*27:05:02-C*05:01:01:02-DRB1*13:01:01-DQB1*06:03  Russia Bashkortostan, Bashkirs 0.4167120
 348  A*02:06:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03  Russia Bashkortostan, Bashkirs 0.4167120
 349  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Bashkirs 0.4167120
 350  A*31:01:02:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03  Russia Bashkortostan, Bashkirs 0.4167120
 351  A*31:01:02:01-B*41:02:01-C*05:01:01:02-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Bashkirs 0.4167120
 352  A*32:01:01-B*39:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03  Russia Bashkortostan, Bashkirs 0.4167120
 353  A*24:02:01-B*35:43:01-C*01:02:01-DRB1*04:07-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.4087221
 354  A*02:01-B*51:01-C*01:02-DRB1*13:01-DQA1*01:03-DQB1*06:03  Kosovo 0.4030124
 355  A*02:01-B*51:01-C*06:02-DRB1*16:01-DQA1*01:02-DQB1*06:03  Kosovo 0.4030124
 356  A*02:06-B*50:04-C*06:02-DRB1*07:01-DQA1*01:03-DQB1*06:03  Kosovo 0.4030124
 357  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Kosovo 0.4030124
 358  A*11:01-B*51:01-C*07:01-DRB1*09:01-DQA1*03:03-DQB1*06:03  Kosovo 0.4030124
 359  A*23:01-B*44:03-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Kosovo 0.4030124
 360  A*24:02-B*18:01-C*07:01-DRB1*15:01-DQA1*01:02-DQB1*06:03  Kosovo 0.4030124
 361  A*25:01-B*51:01-C*02:02-DRB1*13:01-DQA1*01:03-DQB1*06:03  Kosovo 0.4030124
 362  A*26:01-B*55:01-C*03:04-DRB1*13:02-DQA1*01:03-DQB1*06:03  Kosovo 0.4030124
 363  A*32:01-B*40:06-C*01:02-DRB1*13:01-DQA1*05:05-DQB1*06:03  Kosovo 0.4030124
 364  A*68:01-B*51:01-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Kosovo 0.4030124
 365  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.401023,595
 366  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.39804,856
 367  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.3891521
 368  A*02:01:01-B*51:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 369  A*11:01:01-B*13:02:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 370  A*11:01:01-B*49:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 371  A*24:02:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 372  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.377128,927
 373  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.37301,999
 374  A*02:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.3690271
 375  A*11:01-B*35:03-C*12:02-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.3690271
 376  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.3690271
 377  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  USA NMDP Alaska Native or Aleut 0.36831,376
 378  DRB1*15:01-DQB1*06:03  Italy pop 5 0.3600975
 379  A*11:01:01-B*07:05:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.3570174
 380  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  USA NMDP American Indian South or Central America 0.35575,926
 381  A*02:01:01-B*51:01:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*04:01:01  South African Black 0.3520142
 382  A*02:05:01-B*14:01:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*13:01:01  South African Black 0.3520142
 383  A*02:05:01-B*15:10:01-C*08:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*01:01:01  South African Black 0.3520142
 384  A*02:05:01-B*39:10:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*01:01:01  South African Black 0.3520142
 385  A*02:05:01-B*39:10:01-C*18:02-DRB1*13:01:01-DQB1*06:03:01-DPB1*01:01:01  South African Black 0.3520142
 386  A*11:01:01-B*15:01:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01-DPB1*02:01:02  South African Black 0.3520142
 387  A*24:02:01-B*15:10:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*55:01:01  South African Black 0.3520142
 388  A*29:11-B*13:02:01-C*06:02:01-DRB1*15:01:01-DQB1*06:03:01-DPB1*01:01:01  South African Black 0.3520142
 389  A*30:01:01-B*42:02:01-C*17:01:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*105:01:01  South African Black 0.3520142
 390  A*30:01:01-B*58:01:01-C*07:18-DRB1*13:01:01-DQB1*06:03:01-DPB1*105:01:01  South African Black 0.3520142
 391  A*30:02:01-B*14:02:01-C*08:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*835:01:01  South African Black 0.3520142
 392  A*34:02:01-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*02:01:02  South African Black 0.3520142
 393  A*34:02:01-B*58:02:01-C*06:02:01-DRB1*15:03:01-DQB1*06:03:01-DPB1*01:01:01  South African Black 0.3520142
 394  A*43:01-B*15:03:01-C*08:04:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*01:01:01  South African Black 0.3520142
 395  A*68:02:01-B*15:10:01-C*08:04:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*01:01:01  South African Black 0.3520142
 396  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*13:01  Sri Lanka Colombo 0.3501714
 397  DRB1*03:01-DQB1*06:03  Italy pop 5 0.3500975
 398  A*01:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  Mexico Mexico City Mestizo population 0.3497143
 399  A*03:01-B*35:02-C*04:01-DRB1*11:04-DQB1*06:03  Mexico Mexico City Mestizo population 0.3497143
 400  A*03:01-B*57:03-C*18:01-DRB1*13:01-DQB1*06:03  Mexico Mexico City Mestizo population 0.3497143

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 301 to 400 (from 4,129) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 42  


   

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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